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Algorithms and Analysis COSC2123/3119 Dynamic Programming in Action: The Knapsack-Maze Challenge Assessment TypeIndividual assignment.Submit online via GitHub. . pm Marks30
1803ITC Application Systems Designing an Effective Application System Assignment T1 2025 Due: Sunday, Week 9 Midnight via Turnitin on GC Portal page Weight: 40% Rationale: The purpose of this assignment is to demonstrate your ability to apply the knowledge and skills in analysing, designing, and implementing effective application systems - while considering user experience and contextual factors in ICT domains. Task: As the lead application system designer, select a domain for your application system design project from the following domains: e-finance, e-commerce, e-education, e-transport & logistics, e-agriculture, and e-government. Note: The e-health domain should not be selected since we’re using it as a classroom working example!!! You are required to complete the following tasks for your chosen application system project: 1. Identify the problem (5 marks) i. Provide a one-page system vision document that outlines the problem description, system capabilities, and the expected business benefits. (Minimum 300 words, maximum one A4 page). ii. Identify the internal, external, operational, and executive stakeholders for the system. (Minimum 300 words). 2. Gather and analyse requirement for your chosen application system project (8 marks) i. Identify three (3) requirements gathering techniques which will be used and provide a justification for your choice. (Minimum 300 words). ii. Discover and Understand the Requirements - Define the functional and non- functional requirements for the system using the FURPS+ framework. (Minimum 300 words). 3. Select the application type and justify your choice, and design a high-level system architectural diagram. Explain the environment within which the system will operate (i.e., stand alone, networked, hosting options, cloud infrastructure, etc.) (minimum 300 words). (4 marks). 4. Create and provide wireframes illustrating the user interface for at least six (6) screens for your chosen application system project. Discuss how you have applied best- practices of user-experience (UX) and user-interface design principles (8 marks). 5. Develop a usability testing plan for your application system project. Your plan should outline the objectives, methodology, and logistics for the testing sessions. (Minimum 300 words). (5 marks). 6. Plan for integration, adaptation and maintenance the application system (4 marks) i. Develop an integration and adaption plan for your chosen application system project ii. Create a maintenance and evolution plan for your chosen application system project. 7. Address the ethical considerations. (6 marks). i. Analyse the complex ethical implications of application systems design decisions considering various stakeholder perspectives while highlighting mitigation strategies for your chosen application system project ii. Develop a set of ethical guidelines for your chosen application system project. Submission Information: 1. Compile all your work professionally into a single MS Word document. (Do not submit a pdf file.) 2. Use the following format for the Word document’s filename: LastName_FirstName_Student Number.doc (e.g., Smith_John_s2841999.doc) 3. Carefully review the assignment marking criteria. 4. Do not compress your assignment file. 5. Submit your assignment online by going to the “Evidence of learning/Assessment Summary” section of the course web site. Do not compress your assignment file.
PA 581 Homework 4, Spring 2025 In 2008, Goldman and Romley studied hospital demand by analyzing how 8,721 Medicare-covered pneumonia patients chose from among 117 hospitals in the greater Los Angeles area. The authors concluded that clinical quality (as measured by a low pneumonia mortality rate) played a smaller role in hospital choice than did a variety of other factors. Let’s focus on a subset of the Goldman-Romley sample: the 499 patients who chose either the UCLA Medical Center or the nearby Cedars Sinai Medical Center. Typically, economists would expect price to have a major influence on such a choice, but Medicare patients pay roughly the same price no matter what hospital they choose. Instead, factors like the distance the patient lives from the hospital and the age and income of the patient become potentially important factors: Where Di = 1 if the ith patient chose Cedars Sinai, 0 if they chose UCLA DISTANCEi = the distance from the ith patient’s home (according to zip code) to Cedars Sinai minus the distance from that point to the UCLA Medical Center (in miles) INCOMEi = the income of the ith patient (as measured by the average income of their zip code in thousands of dollars) OLDi = 1 if the ith patient was older than 75, 0 otherwise Part I: Interpretation a. Create and test appropriate hypotheses about the coefficient of DISTANCE. b. Carefully state the meaning of the estimated coefficient of DISTANCE in terms of the “per mile” impact on the probability of choosing Cedars Sinai Medical Center c. Think about the definition of DISTANCE. Why do you think we defined DISTANCE as the difference between the distances as opposed to entering the distance to Cedars and the distance to UCLA as two different independent variables? Part II: Stata d. Load the “HOSPITAL13” data into Stata to estimate the linear probability model (LPM) version of this equation. What is the coefficient of DISTANCE in your estimate? Which do you prefer, the logit or the linear probability model? Explain. e. (OPTIONAL/EXTRA CREDIT) Now create a slope dummy by adding OLD x DISTANCE to the original equation and estimating the new logit equation. Why do you think we’re suggesting this particular slope dummy? Create and test the appropriate hypothesis about the slope dummy. Which equation do you prefer, the original or the new slope dummy logit? Explain.
Visualisation Project – Business Segments of Lufthansa Group – individual assignment VISUALISATION PROJECT ASSIGNMENT 22579: Data Visualization and Business Communication (Autumn 2025) 1. General Information 1.1. Task Overview The 22579 Visualisation Project 2025 assignment refers to the case study specification below. The ability to analyse data, answer questions, document activities, and generate reports reflects the practice of business students in this assignment, which contributes to the graduate attributes, business knowledge and concepts, analytical skills, communication, and interpersonal skills, attitudes, and values, as well as business practice-oriented skills. The assignment requires you to analyse problems using Tableau / MS Excel OR Power BI, answer questions and document them, and generate an interactive dashboard. You also must submit PowerPoint slides and a Project Management Report. 1.2. Deliverables a) Tableau File or Power BI file, Report (Word file), PowerPoint slides and Timesheet (Excel) You must analyse data using Tableau OR Power BI and document each step with screenshots of what they are doing and answering questions. The lecturer will assess the performance of individuals based on the analysis; the answers provided the documentation of the individual steps, and the quality of the reports that must be produced. The formal quality of the reports does impact the mark. The case study assignment also assesses your problem-solving capacity. The final tableau(s) files/Power BI files(s), Excel/doc files, PowerPoint presentations, and documentation (Project Report) created must be submitted through Canvas. b) Project Management Report Each of you must prepare and submit a Project Management Report, which consists of: Part 1: Project Plan: You must describe the steps you will take in doing the Visualisation Project, including the tools and techniques used, the timeframe. and an estimate, and how long you think each task will take. You must also keep and hand in a timesheet. Part 2: Implementation Documentation: You must generate an interactive visualisation dashboard and communicate the dataset's insights and findings to the specified audience. You must also think about potential questions, the audience might ask and answer them, you must also create a report and PowerPoint presentation as well as keep and hand in a time sheet. (a) a signed cover sheet that includes the standard content like subject name, subject number, date, your name and your student ID as well as a word count and the following statement of plagiarism and copyright I have read and understood the statement of plagiarism and copyright in the subject outline. I'm fully aware that plagiarism and other breaches of academic integrity will be penalised when proven, following the UTS Student Rules. I declare solemnly that my contribution to this group assignment is neither copied nor plagiarised. Student ID – Student Name – Student Signature (b) A response to the specific tasks /documentation requirements/questions raised in the case study specifications – . (c) assumptions made, anything notable, problems encountered, and solutions found. c) Submission and Due Dates a) Submission The Project Management Report and files must be submitted through Canvas. In subject 22579 DVBC, Assignment and Visualisation Project folders are set up for the submission of (i) files and (ii) Project Management Reports. The plagiarism software Turnitin is used to evaluate the authenticity of the work. Late submissions are subject to a penalty of 5% per day for up to seven calendar days. Work submitted after seven business days is given zero marks. b) Due Dates Part 1 – Project Plan: 23:59 on 3rd April 2025 Part 2 – Project management report, Tableau files OR Power BI, Excel/Doc File and PowerPoint slides The Tableau files/Power BI files, Google Sheets (Excel), and the Project Management Report are due at 23.59 on Thursday, May 8th, 2025. The presentation is due in class on May 14th, 2025. Please Note: • Submission per email will not be accepted. 1.3. Guideline for Project Management Report a) Purpose The purpose of the Project Management Report Part 1 is to provide information about what you are doing (planning instrument) and the Project Management Report Part 2 is to document (incl. screenshots) the process and to answer the questions. b) Format The recommendations, which are given in the Faculty of Business “Guide to Writing Assignments”, do apply. Some further hints: • The report (part 2) should have an introduction and a main part. A summary/conclusion is optional. An executive summary is not required. • The use of resources (references) other than the provided assignment specification and appropriate quoting/referencing are required when using knowledge from authors other than the group members. • The formal quality of the reports does contribute to the mark. • The format should be as outlined in 1.2.2. c) Resources The required resources for this assignment are: • The Case Study Specification (this document) • Legacy files (MS Excel) (links available in the document). • The required Software (tableau/Power BI) is available in all general access computer labs at UTS. This assignment is open book, i.e., students can consult books, course notes, individual notes, and the World Wide Web, but must cite correctly. Additional resources: • Faculty of Business (current version, 2020), Guide to Writing Assignments, Faculty of Business, University of Technology, Sydney (available on Canvas). • Emerson, L. (2022), Writing Guidelines for Business Students, 6th Edition, Cengage Learning Australia. 1.4. File naming conventions& version control (keeping copies). a. YYYYMMDD _ student ID_last name, YYYY stands for year, MM stands for months, and DD stands for day. b. Whenever you start working again on a file, you make a copy and change the date. So, you always have a backup copy in case something goes wrong. You must keep all your copies and be able to show them to your lecturer if requested. 1.5. General Remark on Project Work a. Information from the Case Study Specification may be missing. Please search on the internet or make reasonable assumptions. You must mention and justify them in the Project Management Report (see 1.2.2). b. You can work through the tasks in any order you think is appropriate. c. This assignment reflects a real-world scenario: At work … . a. Not all instructions may be 100% clear! b. not all information is neatly in one place! You need to look for information! c. You might need to make reasonable assumptions, so use common sense. d. you need to work in groups, coordinate the time and manage the group. e. Your success depends on the effort you put into the assignment and what you deliver at the end. 2. The Case Study Specification This year, the individual projects are all in the German airline industry business segment, the German Lufthansa Group. Your task is to analyse the data provided for one business segment and compare it to the overall Lufthansa Group performance, generate six different analyses/charts on other sheets, and integrate them into an interactive dashboard. You can also compare your business segment to another one if you wish. Furthermore, you need to generate four potential questions from your audience and answer them in your document. Your audience is the head of the segment, and they have an analytical background. You can use Tableau or Power BI to generate the analysis and visuals. You can download the Excel spreadsheets with some financial information from the link/website provided. You cannot copy any charts from the internet if provided/found. If you use additional information from another source, please include the source in the resources. On the website (Lufthansa Group), you will find more information about the economy, etc., that will help you tell the story. Go and explore. You need to make a three-minute presentation, telling the story to the segment head. What is the most important thing they should take away from your presentation? For your presentation, you must prepare slides. Furthermore, you must prepare two reports: Project Report Part 1: That is your project plan. In that report, you must include what date/(timeframe) you plan to do. So, you describe in chronological order (timestamp) step by step the activities you need to do to complete the whole project. This can be done in tabular format. Please include time estimates. How long do you think the particular task will take? Project Report Part 2: This is the documentation of your project. In Project Report 2, you need to include • Provide a brief introduction about your project and the report presented. Please note that the head of the business segment would not have read your project plan (part 1). The project plan (part 1) is for you so that you have a plan while doing the project. • The tool you use (Tableau or Power BI) and provide a short reason for choosing this tool and not the other. • Provide a screenshot of each chart/analysis you made and explain it. What do you learn from the data? What is the insight you gain from this analysis? • Provide a screenshot of the dashboard and a brief description of it. • Provide four potential questions from your audience (see part 1) and answer the questions. • Please note that one screenshot after another without an explanation is an inferior report. • If your plan changes, for example, you are using a different tool than you specified in part 1 (project planning report), or you have a different question, please mention it in this report and name why you changed your plan (e.g. the new question seems to be more interesting than the previous one.) • Brief conclusion. • Summary of your time worked on this project. Part 1 and Part 2 are shown separately, as is the overall time. The reports need to be presented in business format. They should have a cover sheet, a plagiarism statement (see part 1), headings, subheadings, page numbers, and a reference/literature list. Please have a look at the earlier pages of this document. Time sheet. Please record all the time you spend on the project. It is a good practice for any consultant to keep a timesheet, as the customer must pay for their hours. The timesheet must include all parts of the project, including parts 1 and 2, and is to be handed in as an Excel sheet. Slides for your presentation. (PowerPoint format) Presentation (In class, face-to-face), 3 minutes sharp: You will present your project using your slides, log in, and use the dashboard. You will also need to answer a few questions from the audience. Please note that the 3-minute presentation is uninterrupted! So, questions and answers (Q&A) are after your 3-minute presentation. Each student must listen to 10 other students, mark their presentation, and write down at least one question they would like to ask the presenter. We might not have time for all the students' questions, but you must answer those that are asked.
Assignment Remit Programme Title MSc Management Module Title Digital Business & Business Analytics Module Code 37989 Assignment Title Individual Assignment Level PG - 20 credit module Weighting 70% Hand Out Date 16/01/2025 Due Date & Time 08/05/2025 12pm Feedback Post Date 02/06/2025 Assignment Format Report Assignment Length 2500 words excluding supporting materials and references Submission Format Online Individual Assignment Remit This assignment involves a practical task. You are asked to source a set of data, clean , manipulate, and use it to produce insights that would be useful to a specific audience or for a defined purpose. You need to produce a report of the process undertaken and the tools you have used for collecting, processing, and analysing data. For this assignment, each student is required to: 1. Select an Appropriate Dataset. Begin by carefully selecting a dataset to apply for this assignment. Your selection can be from any sources so long as there are no copyright restrictions that limit the use of the data. The dataset(s) you select should be those that you think are interesting to a particular group of people. You can find your own sources and take some guidance from lecture material. Other sources of useful datasets might be: - Google Dataset Search -https://datasetsearch.research.google.com - Data.gov.uk - https://data.gov - UK Data Service - https://ukdataservice.ac.uk - World Bank DataBank - https://databank.worldbank.org - OECD Data Explorer -https://data-explorer.oecd.org/ - Eurostat Database -https://ec.europa.eu/eurostat/web/main/data/database - Etc. You can scrape data from public websites where this is appropriate - but we are looking for rather large datasets (more than 500 observations/records with more than 6-7 variables/features) as a key element of your Data Story—not just a few numbers. NB- Avoid redundancy by ensuring that the chosen dataset differs from the one utilized in your work group assignment. In other words, refrain from using the same dataset for both Individual and Group Work Assignments. 2. Identify the Target Audience. Clearly define the target audience for your visualizations. Explain why this audience would be interested in the data and how they are expected to use it once provided. 3. Prepare the Dataset. The dataset you find may need restructuring, cleaning and editing to improve its quality and suitability for your purpose. You may use any tool to clean the data, including (but not necessarily limited to) Python, Excel or the data cleaning tools embedded in Tableau software. 4. Perform Exploratory Data Analysis (EDA) to understand and summarize the key characteristics of a dataset, identify patterns or anomalies, and prepare the data for modelling. Use Excel or Tableau (or both) to explore the data. Your EDA should include a range of visualizations, such as: • Histograms to examine distributions of numeric variables. • Boxplots to detect outliers and understand the spread of data. • Scatterplots to explore relationships between pairs of variables. • Bar charts, line charts, or PivotCharts to analyze trends or compare categories. • Summary tables to present counts or percentages of each categorical variables, and descriptive statistics like mean, median, mode, and standard deviation for numerical variables. • Other relevant visual tools based on the characteristics of your dataset. The primary objectives of your EDA are to: • Gain a good understanding of the variables, including the main characteristics of each variable (e.g., distributions, central tendencies, and variability). • Identify patterns, trends, and relationships between variables. • Detect missing values, outliers, or anomalies in the data and propose strategies to handle them. 5. Select and build appropriate data modelling. The choice of model depends on the nature of the business problem , the goals of the analysis, and the structure of your dataset. This may involve: Regression model: • Purpose: Analyse and predict numerical dependent/outcome variable based on independent variables/predictors. • Examples: Predicting sales revenue, customer lifetime value, or housing prices. • Approach: o Select appropriate regression techniques such as multiple linear regression or non-linear regression models o Evaluate the model's performance using metrics like R-squared and interpret coefficients. Times-series model: • Purpose: Understand and model patterns, trends, and temporal dependencies in time-ordered data. • Examples: Forecasting sales, stock prices, demands, or website traffic trends. • Approach: o Decompose the time series into trend, seasonality, and residual components. o Apply models like Moving Average, Exponential Smoothing, and Regression-based forecasting. o Evaluate predictions using metrics like Mean squared error (MSE) or Mean Absolute Percentage Error (MAPE). Classification model: • Purpose: Analyse and predict categorical dependent/outcome variable based on independent variables/predictors. • Examples: Fraud detection, customer risk classification, or churn behaviour. • Approach: o Use classification algorithms such as k-Nearest Neighbours, logistic regression or decision trees. o Evaluate model performance with metrics like accuracy. Unsupervised model: • Purpose: Identify natural groupings or patterns within the data without predefined labels. • Examples: Market/Customer segmentation, grouping similar products, market-basket analysis or text mining. • Approach: o Use unsupervised algorithms like K-Means, hierarchical clustering, sentiment analysis. o Evaluate cluster validity using metrics such as silhouette score or Elbow method o Visualize clusters using scatter plots, dendrograms, or silhouette plots. Structure of your data analytics report (2,500 words maximum): Chapter 1- Business Understanding: • Express the primary goal of the data analytics. • Explain social or business (or organizational/industrial) problem that is being addressed, • Detail who the target audience is and the purpose for which they might use the data analytics results. Chapter 2- Data Understanding: • Explain why you chose the dataset(s) you did. You must provide a link to the dataset(s) used. • Describe the data: its size in terms of number of records (observations) and variables (features). Provide data dictionary, including the variable names, formats (e.g., numeric, categorical), descriptions, and examples of data values. Note: Ensure the dataset is different from the one used in your group assignment to avoid redundancy. Chapter 3- Data Preparation: • Explain the process you used to clean, edit or constructing the data. If you discarded any data say why this was done. • If you merged or integrate datasets, explain how and why you did this. • Describe what problems you encountered and how you overcame them. Chapter 4- Exploratory Data Analysis: • Use the methods of descriptive statistics and visualisation (such as crosstabulation, histogram, bar charts, line charts, scatterplots, heat maps, PivotCharts, etc) to explore the data. • Explain and interpret the results of the visualisations, highlighting trends, patterns, relationships, or anomalies. Discuss the implications of these findings in the context of the business or problem at hand. Chapter 5- Modelling: • Depends on the business problem and dataset, apply regression, times series analysis, classification or clustering techniques to build business analytics model(s). • Explain and interpret the results of the model(s) in relation to the business objectives. • If applicable, include comparisons of multiple models to identify the best- performing approach. Submission guidance: 1. Ensure each chapter flows logically and builds upon the previous one and keep the report concise, focusing on key insights and actionable findings. 2. Include the screengrabs of data visualisations in your word submission to help give the word document context. 3. Provide links to the source dataset(s) you used - otherwise we cannot audit the validity of your data, and you will drop marks. 4. Your report should be submitted in the form. of a Word document, use minimum 12pt font, and at least 1.2 line spacing. Module Learning Outcomes: This assignment tests the following module learning outcomes: • Collect, analyse and interpret data analytics to make informed business decisions. • Appraise how digital business and data analytics can be used to generate actionable insights for managers and decision-makers. • Communicating, presenting and disseminating analysis of the data.
MFE112TC 2024-25 Semester 2 - Coursework 1 Undergraduate – Year 2 Hydraulic and Pneumatic Technology Deadline：24:00 18 May 2025 (Sunday Week 13) on LMO INSTRUCTIONS TO CANDIDATES 1. This assignment consists of two simulation demos. 2. The weighting of final mark is 20 % for the hydraulic circuit demo and 20% for the pneumatic circuit demo. 3. This assessment is an open book. You may use whatever written material you choose, including your class notes and textbook. Only English language is accepted. 4. Answers to Assignment should be written/typed on clean A4 sheets. Submission should be a single file for each task in either word format or as a pdf. 5. Simulation is to be demonstrated in-person to the module leader. Simulation demonstration marking criteria is provided in this assessment. 6. This is an individual assignment. The cover-sheet should be included with your name, ID number and email address. Every student MUST submit one soft copy via the Learning Mall Online to the correct drop box before the due date. 7. You may refer to textbooks and lecture notes to discover approaches to problems, however, the assignment should be your own work. Students are reminded to refer and adhere to plagiarism policy and regulations set by XJTLU. 8. All students must download their file and check that it is viewable after submission. Documents may become corrupted during the uploading process. However, students themselves are responsible for submitting a functional and correct file for assessments. Hydaulic Circuit Demonstration (20 Marks) Using the Hydraulic and Pneumatic simulation software (Fluidsim/HyPnMaster), construct the hydraulic circuits as shown below, and configure the parameters shown in Figure 1: Figure 1 Hydraulic circuit to be simulated in Fluidsim/HyPnMaster. 1. In-person simulation demonstration: l Correct Component Selections and Circuit Connections (4 Marks) l Correct labeling of All Components in the Circuit (4 Marks) l Correct Simulation Parameters Settings (4 Marks) l Successful Simulation Run and Outputs (4 Marks) 2. QnA (4 marks) Pneumatic Circuit Demonstration (20 Marks) Using the Hydraulic and Pneumatic simulation software (Fluidsim/HyPnMaster), construct the pneumatic circuits for controlling cylinder speed as shown below, and configure the parameters shown in Figure 2: Figure 2 Pneumatic circuit to be simulated in Fluidsim/HyPnMaster. 1. In-person simulation demonstration: l Correct Component Selections and Circuit Connections (4 Marks) l Correct labeling of All Components in the Circuit (4 Marks) l Correct Simulation Parameters Settings (4 Marks) l Successful Simulation Run and Outputs (4 Marks) 2. QnA (4 marks)
COM241 Multimedia PR Campaigns Assessment Brief – Practical Project & Reflection Semester 2, 2024 - 2025 Submission Deadline: Monday 26th May 2025 12 Noon (China Time) Submission Method: Upload the assignment on Box and Learning Mall Weighting: 70% of overall grade for COM241 Learning Outcomes Assessed A. Demonstrate an understanding of the principles and practices of public relations. C. Reflect upon different communication strategies used in a PR campaign. D. Research and analyse information to understand organisational goals, audience, and media channels E. Develop multimedia content to communicate the key messages of a PR campaign. Assessment Aims This assessment aims to help you: • Understand the principles and practices of public relations. • Enhance your research and analytical skills to gather and evaluate information. • Develop practical skills to develop a multimedia public relations campaign. • Improve your visual, verbal, written, and reflective communication skills. Assessment Components 1. Part 1: Campaign Plan • As a PR consultant, you will create a campaign plan based on one of the provided client briefs. See Appendix A for a full list of client briefs. • Prepare a campaign plan as a slide deck (10-12 pages with clear text and visuals). Your campaign plan should address the campaign objectives, target audience, PR strategies, media channels, samples of creative content, campaign timeline, and evaluation plan. See Appendix B for a suggested campaign plan structure. 2. Part 2: Campaign Deliverables • Create 2 examples of creative content for your campaign. 1. A short video (30-60 seconds) to communicate your campaign message. 2. A mock-up social media post (include it within the campaign slide deck). 3. Part 3: Reflection on AI Use in Campaign Planning • Write a 400-500-word reflection about how you used AI tools during the campaign planning. Include a log documenting how you used AI tools during the planning and provide annotated screenshots as evidence. See Appendix C for a suggested reflection structure and template of the AI log Generative AI Permissions AI tools are permitted and encouraged for this assessment but should be used responsibly. AI tools should complement your work, not replace your own effort. The final output must reflect your own creative input, critical thinking, research and communication skills. Campaign Plan Requirements** 1. A slide deck: 10 - 12 pages total. 2. File Format: PDF. 3. File naming: StudentID_COM241_Plan (i.e. 1234567_COM241_Plan) **One point will be deducted for each unmet requirement. Campaign Video Requirements** 1. Video Length: 30 - 60 seconds. 2. File Format: MOV or MP4. 3. File naming: StudentID_COM241_Video (i.e. 1234567_COM241_Video) **One point will be deducted for each unmet requirement. Campaign Reflection Requirements** 1. Word Count: 400-500 words (not including references). 2. AI log (In table format as shown in Appendix C) 3. Visual evidence: Include 3 - 10 annotated screenshots of your interaction with AI tools 4. File Format: PDF. 5. File naming: StudentID_COM241_Reflection (i.e. 1234567_COM241_Reflection) **One point will be deducted for each unmet requirement. Referencing Cite at least 4 sources following the APA referencing style. Sources in other languages should be translated into English. A reference list must be included on the last page of the essay. APA referencing guidelines can be accessed via this link https://libguides.lib.xjtlu.edu.cn/ld.php? content_id=5887299 Academic Integrity An assignment that does not cite or format references correctly will be penalised for Academic Integrity violations according to the University and department’s regulations. Plagiarism is a serious offence and will be penalised according to XJTLU guidelines. Please make sure your work is original and properly cited. Late Submission Policy If you submit an assignment after the specified deadline it will be counted as a late submission. Late submission will attract a 5% penalty per day. If the submission is more than 5 days late, a grade of 0% will be awarded and recorded as a Non-submission/Fail. Students are responsible for checking their work is submitted successfully. No extensions will be granted, unless in exceptional extenuating circumstances. Recommended Readings Gregory, A. (2010). Planning and Managing Public Relations Campaigns: A Strategic Approach. Kogan Page Kelleher, T. (2019). Public Relations. Oxford University Press. Note: Please refer to the attached marking rubric for detailed marking criteria and mark allocation. Appendix A: Client Briefs (Options A - E) Option A Client Name: Think Smart AI Industry: Educational Non-Profit Organisation About Think Smart AI Think Smart AI is a newly launched non-profit organisation, founded in 2024, to address the growing reliance on AI-generated information and the challenges of discerning its accuracy. Think Smart AI’s mission is to empower individuals with the critical thinking skills needed to evaluate AI-generated content, promoting responsible and informed use of AI tools in daily life. Mission: To raise awareness about the limitations and potential biases of AI-generated information while fostering critical thinking and responsible decision-making in an AI-driven world. Key Areas of Focus: AI Literacy: Educating the public about how AI tools generate information and their inherent limitations. Critical Thinking: Encouraging users to question and verify AI-generated content. Ethical AI Use: Promoting transparency, accountability, and fairness in AI usage. Digital Empowerment: Ensuring individuals have the skills to navigate and critically evaluate AI- driven technologies. Campaign Objectives Think Smart AI is launching its first campaign to promote awareness about the accuracy and limitations of AI-generated information. The campaign aims to educate young professionals and students about responsible AI use, focusing on how to critically evaluate the content AI produces. • Raise awareness about the potential biases and inaccuracies in AI-generated content. • Teach practical skills for critically evaluating AI outputs, such as verifying facts and identifying biases. • Encourage at least 1,000 individuals to participate in workshops or online training sessions. • Build a strong online presence to engage audiences with interactive educational content. Target Audience • University students, young professionals, and educators who rely on AI tools like ChatGPT, image generators, or search engines. • Tech-savvy individuals who are curious about AI but may lack awareness of its limitations. Key Challenges • Overreliance on AI: Many users trust AI outputs blindly without questioning their accuracy. • Lack of Awareness: Users often do not understand how AI generates information or its potential biases. • Engagement: Making critical thinking about AI fun and relatable for younger audiences. Deliverables Expected from the Campaign • Digital Content: A social media post and a short video. • Plan for interactive events to engage the audience. Option B Client Name: Academic Trust Alliance Industry: Educational Advocacy Non-Profit Organisation About Academic Trust Alliance Academic Trust Alliance is a newly established non-profit organisation founded in 2024, with the mission to promote academic honesty and ethical practices in higher education. Academic Trust Alliance works closely with universities, students, and educators to raise awareness about academic integrity and provide tools to help students navigate challenges ethically. The organisation emphasises the responsible use of technology, including AI, in academic work, fostering critical thinking and accountability. Mission: To create a culture of trust and integrity in academia by equipping students with the skills and knowledge needed to uphold ethical standards in their studies and beyond. Key Areas of Focus • Plagiarism Awareness: Educating students on how to avoid plagiarism and cite sources correctly. • AI Ethics: Promoting responsible and critical use of AI tools in academic environment • Academic Support: Providing resources such as workshops, templates, and mentoring programs to help students meet academic standards. • Integrity Advocacy: Partnering with universities to integrate academic integrity principles into policies and curricula. Campaign Objectives The campaign aims to raise awareness about academic integrity among university students, emphasising the consequences of misconduct and providing practical tools to uphold ethical practices. The campaign also seeks to educate students on the ethical and critical use of AI tools in academic work. • Raise awareness about the importance of academic honesty and the consequences of misconduct. • Educate students on proper citation, research ethics, and AI tool use. • Provide practical resources and support systems for students to complete their academic tasks ethically. • Promote a supportive environment where students feel comfortable asking for help. Target Audience • University students at all levels, with a focus on first-year students adapting to academic integrity standards and students facing high academic pressure. Key Challenges • Misunderstanding of Policies: Students may not fully understand what constitutes academic misconduct. • AI Misuse: Increasing reliance on AI tools without awareness of ethical considerations. • Pressure to Perform. Academic stress leading to a temptation to plagiarise or cheat. Deliverables Expected from the Campaign • Digital Content: A social media post and a short video. • Plan for interactive events to engage the audience. Option C Client Name: EcoSphere Collective Industry: Environmental Non-Profit Organisation About Eco Sphere Collective EcoSphere Collective is a newly established non-profit organisation that began operations in 2024. Its mission is to introduce and promote sustainable living practices in urban communities in China. Although EcoSphere has successfully run campaigns in Southeast Asia, this is its first major initiative in China, and the organisation aims to build awareness and establish itself as a trusted leader in the sustainability space. Mission: To inspire individuals and communities in China to take small but impactful steps towards reducing waste and embracing eco-friendly lifestyles. Key Areas of Focus: • Sustainable Lifestyles: Promoting eco-friendly habits such as reducing waste and conserving energy. • Plastic-Free Living: Advocating for reduced reliance on single-use plastics. • Educational Campaigns: Engaging schools and universities with workshops and informational resources. • Digital Advocacy: Utilising social media platforms to inspire collective action. Campaign Objectives EcoSphere Collective is launching its debut campaign in China, targeting urban residents. The goal is to encourage small but impactful sustainable habits while introducing EcoSphere as a reliable voice for sustainability in the region. • Raise awareness about the environmental benefits of zero-waste living among suburban families. • Inspire urban residents to adopt one small eco-friendly habit. • Provide families with tools, resources, and practical tips to sustain zero-waste habits long- term. Target Audience • Urban residents aged 20–35, including university students, young professionals, and families. • Young parents who want to teach their children sustainable habits. Key Challenges • Behavioural Barriers: Many families are aware of the zero-waste movement but feel it is too complicated or expensive to adopt. • Misinformation: There is confusion about what "zero-waste" truly means and how to start. • Community Engagement: Building trust and momentum in suburban communities that may not prioritise sustainability. Deliverables Expected from the Campaign • Digital Content: A social media post and a short video. • Plan for interactive events to engage the audience. Option D Client Name: Green Bites Initiative Industry: Food Advocacy Non-Profit Organisation About Green Bites Green Bites Initiative is a newly established non-profit organisation founded in 2024 to promote plant-based eating in China. With a focus on health, sustainability, and animal welfare, Green Bites Initiative aims to inspire individuals and communities to reduce their consumption of animal products and incorporate more plant-based meals into their diets. Mission: To make plant-based eating accessible, enjoyable, and culturally relevant, empowering individuals to make healthier and more sustainable food choices. Key Areas of Focus: • Health Awareness: Educating the public on the health benefits of plant-based diets. • Sustainability Advocacy: Highlighting the environmental benefits of reducing meat and dairy consumption. • Cultural Integration: Creating plant-based meal options inspired by traditional Chinese cuisine. • Community Engagement: Collaborating with local chefs, restaurants, and food influencers to promote plant-based eating. Campaign Objectives Green Bites Initiative is launching its debut campaign to promote the health and environmental benefits of plant-based eating. The campaign aims to encourage urban residents to try plant- based meals, emphasising their ease, affordability, and alignment with cultural tastes. • Raise awareness about the benefits of plant-based eating for health and the environment. • Inspire at least 10,000 individuals to participate in the “Plant-Based Pledge,” committing to eating at least one plant-based meal per day for a week. • Increase the visibility of plant-based options in local restaurants and grocery stores. • Build partnerships with food brands or restaurants to support the campaign. Target Audience • Individuals who are resistant to try plant-based eating due to misconceptions about taste, cost, or nutritional value. Key Challenges • Perception of Plant-Based Eating: Many see plant-based meals as expensive, bland, or inaccessible. • Engagement: Encouraging individuals to experiment with new dietary habits can be challenging. Deliverables Expected from the Campaign • Digital Content: A social media post and a short video. • Plan for interactive events to engage the audience. Option E Client Name: Heritage Nexus Collective Industry: Cultural Heritage Preservation and Promotion About Heritage Nexus Collective Heritage Nexus Collective is a newly established organisation dedicated to preserving and promoting cultural heritage through innovative multimedia exhibitions. Founded in 2024, the organisation bridges the gap between traditional heritage and modern audiences by combining storytelling, technology, and art to create immersive cultural experiences. Mission: To celebrate, preserve, and promote cultural heritage through engaging multimedia experiences that inspire appreciation and understanding across generations. Key Areas of Focus: • Preservation: Supporting efforts to document and protect intangible and tangible cultural heritage. • Education: Raising awareness of cultural history and traditions among younger generations. • Innovation: Using technology such as AR, VR, and digital art to present heritage in innovative ways. • Community Engagement: Collaborating with local artisans, historians, and artists to showcase diverse cultural narratives. Campaign Objectives Heritage Nexus Collective is launching its debut multimedia exhibition titled “Echoes of the Past: A Journey Through Cultural Treasures”, aimed at connecting modern audiences with ancient traditions through immersive storytelling and cutting-edge technology. • Attract 10,000 visitors to the exhibition within the first three months. • Increase social media engagement by 60% by promoting interactive online content related to the exhibition. • Build awareness about endangered cultural practices and traditions. • Establish partnerships with at least 10 local cultural organisations or institutions. Target Audience • Urban residents and tourists, including younger audiences (Gen Z). Key Challenges • Engaging Younger Audiences: Making cultural heritage appealing and relatable to younger demographics. • Balancing Tradition and Technology: Ensuring modern approaches respect and preserve the authenticity of the heritage. • Awareness: Generating buzz and visibility for a new and emerging organisation. Deliverables Expected from the Campaign • Digital Content: A social media post and a short video. • Plan for interactive events to engage the audience. Option F Client Name: WorkFuture Alliance Industry: Workplace Engagement and Employee Development About WorkFuture Alliance WorkFuture Alliance is a newly established organisation dedicated to addressing workplace challenges and improving employee engagement. Founded in 2024, the organisation partners with businesses and educational institutions to create innovative strategies for bridging generational gaps, fostering collaboration, and cultivating meaningful work environments for young professionals. Mission: To empower employees and organisations to thrive together by fostering understanding, engagement, and purpose in the workplace. Key Areas of Focus: • Workplace Engagement: Promoting strategies to combat disengagement and improve employee satisfaction. • Professional Development: Equipping employees with tools and resources to navigate workplace dynamics. • Collaboration: Building bridges between different generations in the workforce. Campaign Objectives WorkFuture Alliance is launching its first campaign aimed at improving workplace engagement for Gen Z employees and promoting strategies for organisations to better understand and support their youngest team members. • Provide actionable tips and tools to help Gen Z employees feel more connected and engaged at work. • Create resources to facilitate intergenerational understanding and collaboration in workplaces. • Reach at least 500 organisations and 5,000 young professionals through campaign materials and events. Target Audience • Gen Z employees (ages 18–26) who feel disengaged, undervalued, or disconnected in their workplace. • HR professionals, team managers, and organizational leaders seeking to improve workplace culture for Gen Z employees. Key Challenges • Disconnection: Many Gen Z employees feel their employers don’t understand or value their needs. • Perception Gaps: Organizations struggle to adapt to Gen Z’s expectations for flexibility, purpose, and transparency. • Retention Issues: High turnover rates among Gen Z employees due to disengagement or dissatisfaction. Deliverables Expected from the Campaign • Digital Content: A social media post and a short video. • Plan for interactive events to engage the audience Appendix B: Campaign Plan Structure Multimedia PR Campaign Plan for [Client’s Name] 1. Executive Summary • Provide a brief overview of the campaign, its objectives, and the proposed strategy. 。 Summary of the client’s goals and challenges. 。 Key points of the campaign plan (target audience, strategy, and key messages). 。 Expected outcomes. 2. Background and Research • Establish context and provide insights into the client, industry, and key issues. 。 Overview of the client (history, mission, and key challenges). 。 Industry analysis and trends relevant to the campaign. 。 Insights from research on audience, competitors, and environmental factors. 。 Use of evidence or data from credible sources. 3. Target Audience Analysis • Define the campaign’s primary audience(s). 。 Demographics (age, gender, location, etc.). 。 Psychographics (values, interests, motivations). 。 Behaviours (media consumption habits, purchasing behaviour, etc.). 。 Insights into how the campaign will address audience needs or preferences. 4. Campaign Objectives • Outline what the campaign aims to achieve. 。 SMART objectives (Specific, Measurable, Achievable, Relevant, Time-bound). 。 Link objectives to the client’s overall goals and challenges. 5. Key Messages • Articulate the main messages that the campaign will communicate. 。 Core message (what the audience needs to remember). 。 Supporting messages (details or persuasive elements). 6. Campaign Strategy • Provide an overview of the way to achieve the objectives. 。 Overall strategy (e.g., awareness campaign, behaviour change, crisis management). 。 Key themes or storytelling techniques. 。 Media channels. 。 Include examples of multimedia content (mock-up social media posts and video storyboards). 7. Implementation Plan • Detail the specific actions and channels to deliver the campaign. 。 Tactics (e.g., social media posts, events, partnerships, etc.). 。 Timeline with key milestones (e.g., launch date, campaign phases). 8. Evaluation Metrics • Outline how the campaign’s success will be measured. 。 Key Performance Indicators (KPIs) (e.g., social media engagement, website traffic, etc.). 。 Methods of data collection (e.g., surveys, analytics, focus groups). 。 Timeline for evaluation (e.g., midpoint and end-of-campaign reviews). Appendix C: Reflection Structure Reflection on AI use in PR campaign planning 1. Role of AI in Your Process: • What stages of the PR planning process did you use AI tools for (e.g., brainstorming, audience analysis, content creation)? • Which AI tools did you use? • How did AI tools help you complete the campaign plan? 2. Evaluation of AI Outputs: • What were the strengths and limitations of the AI-generated outputs? • How did you adapt or improve on the AI-generated content?? • What challenges did you face when using these AI tools? • What part of the campaign plan was improved by AI? • What part needed human input? 3. Creativity Beyond AI: • How did you contribute your own ideas and creativity beyond what the AI tools generated? 4. Lessons Learned: • What key insights did you gain from integrating AI into your PR campaign planning?
EEE112 Integrated Electronics and Design NMOS IC Design Project (Version 2025) Assessment Weighting This assessment counts for 20% of the module. Aims This project aims to provide students with an experience of designing a simple integrated circuit at the silicon layout level, as well as offering an insight into the manufacturing process flow. Learning Outcomes On completion of this project you should be able to: 1. Understand the manufacturing processes involved in fabricating silicon-based devices. 2. Understand the design process and constraints involved in developing IC. 3. Produce layout and mask designs to scale of an NMOSFET logic circuit. 4. Produce an engineering style report. Design Task The objective of this assignment is to design the simple logic circuit shown in Figure 1. Fig. 1 Simple Logic Circuit Task 1: What is the logic function of simple logic circuit in Fig. 1? Task 2: What is the aspect ratio (W/L) for all the NMOSFETs in the circuit (total 4 NMOSFETs)? Please note that the VOUT is assumed to be 0.2V, 0.1V and 0.01V respectively. Please calculate the aspect ratio (W/L) for all the NMOSFETs under different VOUT (0.2V, 0.1V and 0.01V). The process parameters for the design are listed in Table 1. Table 1: Process Parameters Normalized Device Constant β0 1.8x10-4 A/V2 Threshold Voltage VT 0.5 V Supply Voltage VDD 5V High Input Voltages (A and B) VIN V DD Low Input Voltages (A and B) VIN 0 V Sheet Resistance RS 100 Ω/□ Task 3: 4-mask process is applied for the manufacturing of the NMOSFET. It is required to provide the process flow from step one till the last step. Each step shall have its top view and cross-section view. Please take NMOSFET C as an example (W/L ratio upon VOUT=0.2V). Task 4 (Extra): If we use the TSMC 3nm technology, 2λ (feature size) is 3nm. You are encouraged to produce a full circuit design layout (full layout) to scale together with the necessary masks to form. each layer (from mask 1 to mask 4), by considering the MOSIS design rules (see the last page), and your knowledge from the lectures. (W/L ratio upon VOUT=0.2 V) You are highly appreciated minimize the full layout as compact and small as possible, following the MOSIS design rules. Assignment Output and Grading Information It is required to write a short formal report (no more than 50 pages in total). The report will be graded against the requirements are set out below: 1. Report format: cover page, contents, abstract, introduction, main body, conclusion, references. 10% 2. Main body 1 (Task 1): What is the logic function of simple logic circuit in Fig. 1? 20% Detailed analysis should be given together with truth table of the simple logic circuit. 3. Main body 2 (Task 2): What is the aspect ratio (W/L) for all the NMOSFETs in the circuit (total 4 NMOSFETs)? Please note that the VOUT is assumed to be 0.2V, 0.1V and 0.01V respectively. Please calculate the aspect ratio (W/L) for all the NMOSFETs under different VOUT (0.2V, 0.1V and 0.01V). 30% The process parameters for the design are listed in Table 1. Table 1: Process Parameters Normalized Device Constant β0 1.8x10-4 A/V2 Threshold Voltage VT 0.5 V Supply Voltage VDD 5V High Input Voltages (A and B) VIN V DD Low Input Voltages (A and B) VIN 0 V MOSFET Load Resistance RL 5 kΩ Sheet Resistance RS 100 Ω/□ Please provide the detailed analysis for the calculation. It is also important to identify which mode (linear or saturation)for all the NMOSFETs in the circuit (total 4 NMOSFETs). 4. Main body 3 (Task 3): 4-mask process is applied for the manufacturing of the NMOSFET. It is required to provide the process flow from step one till the last step. Each step shall have its top view and cross-section view. Please take NMOSFET C as an example (W/L ratio upon VOUT=0.2 V). 40% Clearer and detailed discussion for all the steps are required in this section, together its top view and cross-section view. 5. Main body 4 (Extra): If we use the TSMC 3nm technology, 2λ (feature size) is 3nm. You are encouraged to produce a full circuit design layout (full layout) to scale together with the necessary masks to form. each layer (from mask 1 to mask 4), by considering the MOSIS design rules (see the last page), and your knowledge from the lectures (W/L ratio upon VOUT=0.2 V). Extra 10% You are highly appreciated minimize the full layout as compact and small as possible,following the MOSIS design rules. You are suggested to use handwrite or software for the full layout and four masks. Full layout means the final layout merging four masks together. For handwrite, either photo or scan into the report is acceptable. For software,figure capture is acceptable. Please identify the related MOSIS design rules in your design. (unit: nm) Mask information is listed as follow: 1. Mask 1: Active layer 2. Mask 2: Poly-Si layer 3. Mask 3: Contact layer 4. Mask 4: Metal layer 5. Full layout: Overlay of all the masks (merging four masks together)
Italian Culture and Society Course Information Course Number: ITAL-1P96-D02-S01-SYN Course Title: Italian Culture and Society. Time/Days: Tue and Thu 4-7 pm Description Artistic heritage of Italy and the intellectual, political and social forces that have shaped the mentality and way of life of the Italians. Selected texts and multi-media material. What was Italian culture before Italy was made in 1861? Through a transmedia approach that considers literature, scientific texts, works of art, movies, videos, and music, this course will trace Italy’s culture from the first testimonies of an Italian written “language” to the formation of the state of Italy during Risorgimento. We will study the social, political, and cultural life of different cities such as Roma, Firenze, Napoli, and Venezia, among others, and will tackle a variety of themes such as the power dynamic between class, gender, and sexuality. We will read and discuss primary and secondary sources by and on canonical figures of Italian culture such as Dante, Petrarca, Boccaccio in literature or Raffaello, Michelangelo, and Caravaggio in the arts, alongside too often neglected female figures such as Chiara D’Assisi, Artemisia Gentileschi, Lucrezia Borgia, and Isabella D’Este, to name a few. Students will thus gain a well-rounded knowledge of Italian culture between 1000-1861 and will be able to reflect on how it is still influencing and shaping our contemporary cultural panorama. NB: The course is online. Please download Zoom ahead of time. Please use a laptop or a computer to access the Zoom meeting. Do not use an iPad or Phone if not in exceptional cases. Be sure to find a quiet space and have your headphones and earphones on to facilitate class discussion. Class discussion is a key component of this course; therefore, it is mandatory to keep your video on to verify attendance and participation. No prior Italian knowledge is required for this course. All the reading materials will be provided in English, and you will be able to access the visual content in English or with English subtitles. Students must attend 80% of classes, failure to do so without acceptable justification will result in a grade of zero (0), regardless of the grades attained on course work. Learning Outcomes: · Demonstrate knowledge of Italian literature, cinema, music, arts, history, geography, and culture; · Compare and contrast Italian culture’s political, social, and artistic aspects from one century to another and from one place to another along the Italian peninsula; · Recognize and describe the historical, social, economic, and political forces that have shaped society in Italian culture from the origins to 1861; · Analyze and critique the products of modern Italian culture (film, literature, art, popular culture, media, etc) within their context, including conducting basic research tasks; · Perceive and value cultural diversity and reinterpret the place of the self as an identity culturally situated in the global context. Required Readings or Texts Course material will be posted on Brightspace. Course Communications All correspondence will take place through your BROCK e-mail account. E-mails sent from other servers will NOT be answered. Every effort will be made to answer e-mails promptly. In the event of class cancellation an email will be sent to all students through BRIGHTSPACE. Assessment Components and Due Dates Assessment Component Grade Weight Due Date Attendance and Participation 5% ongoing In-class Active Learning Activities (No Active learning on Quiz days; 8 x 1.25%) 10% ongoing 15-Minute Video Presentation on one historical figure to submit on Brightspace the Monday before class (number of students submitting per week depends on enrollment, list of historical figures will be provided) 15% Individual dates will be assigned during the first class 5 Brief Questionnaires on Readings/Movies Prepared for class (Asynchronous; Multiple choice; at the end of each Thursday) 15% May 8, 15, 22, 29 June 5 2 Written Quizzes (15 % each): (in-class; multiple choice and open questions) 30% Quiz 1 –May 15 Quiz 2 – May 29 Final Project (Conceptual Map Creation around a topic provided by instructor; Oral presentation of the map to instructor) 25% (10% map outline with bibliography; 15% final map and oral presentation). Outline – May 22 Final Submission – Jun 6 Date for oral exam TBD (btw June 10-14)
CLOUD COMPUTING AND SOFTWARE AS A SERVICE 42904 ASSIGNMENT 2 Structure of this assignment: Assignment 2 has three assessment items as follows: (a) Software Application Development using Force.com platform. (b) Written Report (c) Presentation or demonstration of the developed software prototype Weight of this assignment towards the overall subject grade: 35% of the overall subject grade. The weights assigned to the three individual assessment items are as below: (a) 15% of the overall subject grade for the assessment item “Software Application Development using Force.com platform” (b) 10% of the overall subject grade for the assessment item “Written Report” (c) 10% of the overall subject grade for the assessment item “Presentation or demonstration of the developed software prototype” . Submission deadline and requirements: The presentation/demonstration of your software application will be held during the week beginning 12 May 2025 during the lab sessions. The time for all the group presentations/demonstrations will be announced on Canvas. The software application and written report are due on 12 May 2025 by 6 PM. Submission Requirements: Upload a soft copy of the written report on Canvas. Objectives: This assignment is linked to the Subject Level Objective (4). Academic Standards: Please refer to the statement on academic conduct and the use of plagiarism detection software in the subject outline. Expected Workload: The expected number of hours to complete this assignment is 20-30 hours of work per person (approximately) Late Submission Policy: You must hand in and email the assignment on time. An extension may be granted for illness, misadventure, or other extenuating circumstances beyond your control. The issue of an extension should be raised with the Subject Coordinator as soon as possible after the circumstances occur. In general, extensions will not be granted on or after the assignment's due date. Written consent in the form. of an email should be obtained from the Subject Coordinator, allowing for late assignment submission. Please note that such permissions for late assignment submissions will only be considered due to prior unforeseen extraordinary and genuine circumstances beyond your control. Late assignments submitted outside of these parameters will be deducted one mark per day, and more than seven days late assignments (without any special consideration) will receive zero marks. Team/Group Registration: This is a group assignment, and it is expected to be done in groups of three students each. You are expected to continue with the same group as Assignment 1. If you have any issues with your assignment group's work, please contact the subject coordinator as soon as possible. Assignment Description: Your organisation is evaluating a significant investment in a cloud computing application development platform to address key business requirements. In light of your recently acquired expertise in Cloud Computing and the Force.com PaaS, the Chief Information Officer (CIO) has requested that you create a small pilot project (or prototype) using the Force.com platform, accompanied by a detailed project report. You will subsequently present your findings to both the CIO and the Chief Executive Officer (CEO). You have the flexibility to research and select any suitable enterprise application for this prototype, such as (but not limited to) HR Management, Contract Management, or Order Management, to demonstrate the potential benefits of the Force.com platform. in meeting your organisation’s needs. Assessment Item 1: Software Application Development using the Force.com platform. (15% of the overall subject mark/grade): Make use of Force.com PaaS to engineer a software prototype to address the organization-specific business problem that you have selected. Your prototype system should demonstrate the use of the following key concepts: (i) Data Objects (Minimum three objects showing look-up (association) and master-detail relationships) (ii) Data Validation Rules (Minimum three successfully implemented data validation rules) (iii) Object-level security and Tab-Level security (Implement at least one object- level security and one tab-level security setting using Custom Profiles) (iv) Organisation-wide default (Implement at least one organisation-wide default access) (v) Email Notification (Minimum two successful implementations of email notification automation process using workflow mechanisms) (vi) Task creation and assignment (Minimum one successful implementation of task creation and automation process using workflow mechanisms) (vii) Time-based workflow (Minimum one successful implementation of time- based workflow) Submission requirements for Assessment Item 1: The application developed using the Force.com PaaS should confirm the requirements outlined above. Furthermore, as a part of submission, you are required to: (a) Create unique login credentials foryour group on Force.com. (b) Mention your Force.com login credentials in the assignment report (for assessment) (c) Any changes made to your project in Force.com after the submission deadline will render your project ineligible for assessment. Assessment Item 2: Written report (10% of the overall subject mark/grade): Your report should be written in the following format (adhering to the following sections). (a) Cover page: This section should address the following: (i) Title of the report (ii) Student Names (along with UTS Student ID’s) (b) Introduction Section: This section should address the following: (i) A brief background of the organisation that is requesting Force.com PaaS implementation (ii) What are the specific use cases (or business requirements) for using the Force.com PaaS in the above organisation? (c) System Modelling Section: This section should address the following: a) Present the Data Model for the PaaS Application b) Present the Custom User Profile/s with descriptions of each profile c) Present the Workflow diagrams d) Prototype System Screens and Description (d) Contribution of each group member: In this section the individual contribution of each group member should be outlined. Although this is a group assignment, it will be assessed individually. This should be stated if all group members have contributed equally to completing this assignment. (e) Conclusion and Future Work Section: This section should address the following: (i) Conclude the report with your experience(s) with PaaS-based software development (ii) Future further implementation of this developed application and other areas within the organisation where PaaS implementations could be done (along with rationale) References being cited in the body of the report can be books, journals, conference articles or news articles). Your report should be written in Times New Roman Font (Size 12). Please format and structure your report legibly. Please follow the UTS Harvard Referencing style. The referencing guidelines can be located at http://www.bell.uts.edu.au/referencing/index.html Submission requirements for Assessment Item 2: Upload a soft copy (as .doc or .pdf file) via the Turnitin link provided on Canvas. The deadline for submission of this assessment item is 12th May 2025 by 6 PM. The written report should not exceed 20 A4 pages, including references, figures, and screenshots. Assessment Item 3: Presentation requirements (10% of the overall subject mark/grade): You are required to demonstrate the developed software prototype and answer related questions during the lab session during Week 12. The time for all the group presentations/demonstrations will be announced on Canvas. The entire group needs to be present to demonstrate the prototype. Assessment Process for Assignment 2: The following assessment criteria will be used in the grading process for this assignment. Criteria Marks Comments and Marks procured Software Application Development • Does the developed software application address the basic concepts and criteria listed under Assessment Item 1? • Is the chosen case study logical and complete? 7 marks 8 marks Written report • Introduction Section • System Modeling section • Conclusion and future work section 2 marks 5 marks 3 marks Presentation • Presentation structure and presentation contents • Correct answers to questions asked 4 marks 6 marks Total 35 marks
MSIN0042 Decision Science Online Examination Paper 2023/24 Copyright Note to students: Copyright of this assessment brief is with UCL and the module leader(s). If this brief draws upon work by third parties (e.g. Case Study publishers) such third parties also hold copyright. It must not be copied, reproduced, transferred, distributed, leased, licensed or shared with any other individual(s) and/or organisations, including web-based organisations, without permission of the copyright holder(s) at any point in time. Academic Misconduct: Academic Misconduct is defined as any action or attempted action that may result in a student obtaining an unfair academic advantage. Academic misconduct includes plagiarism, obtaining help from/sharing work with others be they individuals and/or organisations or any other form. of cheating. Definitions and penalties for Academic Misconduct are outlined in the Academic Manual. • It is forbidden to: o Communicate or collaborate with other students or any other third parties in relation to this assessment. o Discuss or share assessment content with other students or third parties. o Copy or attempt to copy the work of another student(s). • Such actions will be referred to the Academic Misconduct Panel, the penalties of which may include exclusion from UCL. Referencing: In an exam no external research would normally take place and you would demonstrate your learning from the module and communicate your learning in your own words and, where appropriate, through calculations. This applies to this online assessment. If you were to make direct use of somebody else’s work, either by memorising it or copying it word for word, you must reference and provide full citation for ALL sources used. This includes any direct quotes and paraphrased text. If in doubt, reference it. Further guidance on referencing is to be found here: https://library-guides.ucl.ac.uk/referencing-plagiarism Failure to cite references correctly may result in your work being referred to the Academic Misconduct Panel. Upload window 20-minute upload window is available at the end of the standard exam duration. The Upload Window is not additional writing time. You must use the full 20-minute Upload Window for uploading files, completing the Cover Sheet (if applicable) and correcting any minor mistakes such as uploading the wrong file or clicking the wrong button. Do not assume that this will not happen to you. Collation time where applicable (only for exams that have particularly extensive upload requirements) N.A. Reasonable adjustments If you have a Summary of Reasonable Adjustments or Special Assessment Arrangements in place which include additional writing time or rest breaks, the additional time will be added to the standard exam duration at the top of page 2. SORA students are also entitled to the 20-minute upload window. Exam Length TWO (2) hours Number of Sections There are THREE (3) sections to the examination paper. Question/Mark Distribution Section A consists of TWO (2) compulsory questions. This section is worth THIRTY (30) marks. Section B consists of THREE (3) compulsory questions. This section is worth THIRTY (30) marks. Section C consists of THREE (3) compulsory questions. This section is worth FORTY (40) marks. You are advised to allocate your time between the three sections in proportion to the marks available. Additional Materials N.A. Handwritten answers permitted? Yes If yes, where are handwritten answers permitted All sections Other notes If you are unclear on any part of the question, state your assumptions in your answers SECTION A This section consists of TWO (2) questions and is worth THIRTY (30) marks. The VictorySphere Company produces footballs. VictorySphere must decide how many footballs to produce each month. The company has decided to use a 3-month planning horizon. The forecasted monthly demands for the next 3 months are 15,000, 30,000, and 28,000. VictorySphere wants to meet these demands on time, knowing that it currently has 10,000 footballs in inventory and that it can use a given month’s production and leftover inventory from previous months to help meet the demand for that month. (For simplicity, we assume that production occurs during the month, and demand occurs at the end of the month.) During each month there is enough production capacity to produce up to 25,000 footballs. The forecasted production costs per football for the next 3 months are £12.40, £12.80, and £13.00, respectively. The holding cost per football held in inventory at the end of any month is figured at 5% of the production cost for that month. (This cost includes the cost of storage and also the cost of money tied up in inventory.) The selling price for footballs is not considered relevant to the production decision because VictorySphere will satisfy all customer demand exactly when it occurs—at whatever the selling price is. Therefore, VictorySphere wants to determine the production schedule that minimizes the total production and holding costs. Let Q1, Q2, Q3 represent the quantity of footballs produced in month 1, 2, 3. The unit is in thousands. Let I1, I2, I3 denote the corresponding end-of-month inventories (after demand has been satisfied), also measured in thousands. Question A.1 [15 marks] Suppose that you are the business analyst for VictorySphere and want to determine the production plan so the total cost is minimized. Clearly write down the objective function and constraints based on variables defined above. Question A.2 [15 marks] Suppose that you have completed the model and find the optimal solution using Excel solver. Below, you will see the excel file with the solution, the excel file with the formulas and the sensitivity analysis report. Constraints Cell Name Final Value Shadow Price Constraint R.H. Side Allowable Increase Allowable Decrease $B$15 Ending Inventory 8 0 0 8 1E+30 $C$15 Ending Inventory 3 0 0 3 1E+30 $D$15 Ending Inventory 0 14.31 0 12 3 (a) Reading from the Excel solution, what are the optimal production quantities for each month? What are the ending inventories for each month? What is the optimal total cost. [7 marks] (b) There are 3 lines in sensitivity analysis. List the constraint the 2nd line refers to. You cannot get credit if you list more than one constraint. Is that constraint binding? [4 marks] (c) Suppose the inventory at the end of Month 3 is required to be 10,000 footballs for future use. Use the sensitivity analysis table to find the new optimal total cost. [4 marks] SECTION B This section consists of THREE (3) questions and is worth THIRTY (30) marks. The Concrete for Earth (C4E) is a company that has developed an environmentally- friendly, and structurally strong concrete. Its concrete absorbs carbon in the atmosphere as it dries initially, and also over time as it reacts with the air. As a result, the use of this concrete brings net carbon neutrality to many construction projects (or may even make them carbon negative, generating carbon credits). The UK’s Department for Transport is leading the effort to decarbonize the UK’s infrastructure. In its recent call to build a series of new aqueducts to transport fresh water around the greater Manchester region, it has announced that it will exclusively consider environmentally sustainable concrete and started the competitive bidding process for concrete suppliers. The bid that presents the lowest price will win. C4E is considering whether to make a bid on the Manchester aqueduct project. It will cost the company £300,000 to prepare a bid, and if it wins the bid, it will cost the company an estimated £11m to produce the amount of concrete necessary for the project. However, there is uncertainty about each of these estimates. C4E assesses that the cost to complete the project can be as low as £9m but can be as high as £15m. The cost of bid can be as low as £250k but can also go as high as £450k. More importantly, C4E is aware of 2 competitors who have developed a similar carbon absorbing concrete product available for mass production. It knows that these two companies will compete in the bid. Since C4E has the superior technology and manufacturing process, it believes that its bid will likely be lower than its competitors’ . In particular, it believes that the competitors’ bid will be, independently of the others, most likely 30% above C4E’s bid, although it is possible that they may also bid as low as 10% below C4E’s bid and up to 80% above C4E’s bid. Question B.1 [10 marks] (a) State the key uncertainties and express them as you would using SimVoi with appropriate parameter values. [6 marks] (b) Let Y denote the bid amount by C4E. Using the expression of the uncertainties, state the condition for C4E winning the bid. [4 marks] Question B.2 [10 marks] Suppose you want to perform. simulation analysis using Simvoi. (a) In the output cell in Simvoi, state the expression for C4E’s profit using the uncertainty expressions above. (Hint: you can use the IF function.) [3 marks] (b) Describe the steps you would take to get a sense of the probability of winning the bid using Simvoi. [3 marks] (c) Instead of having 2 identical and independent competitors, suppose that you had 5 identical and independent competitors. How would probability of winning change? Explain. [4 marks] Question B.3 [10 marks] The company C4E has come to you to determine what would be the appropriate bid amount to maximize its expected profit. It is considering either a bid value of Y1=£12m or Y2=£11m. You have performed simulation analysis using the bid values using SimVoi, which produced the following outputs. (a) Which curve corresponds to the bid Y1 = £12m and Y2=£11m? Explain. [4 mark] (b) Between Y1 and Y2, which would you recommend as the bid amount (in other words, which bid has higher expected profit)? Under your recommendation, how likely is it for C4E to make profit greater than £1m? State the probability. [3 mark] (c) C4E has revealed that it is considering a bid amount of Y3=£13m. Based on all of the above questions, would you recommend Y3? If so, why? If not, why not? [3 marks] SECTION C This section consists of THREE (3) questions and is worth FORTY (40) marks. You need to source a product and want to buy it at a cheaper price. There are two markets that offer this product. The price in Market 1 has a 50% chance of being £40 and a 50% chance of being £60. Independently, the price in Market 2 has a 50% chance of being £30 and a 50% chance of being £70. Question C.1 [10 marks] You can only find out the price after deciding which market to buy from. Draw the decision tree and determine the optimal decision. Question C.2 [10 marks] If you can find the prices of both markets before making a purchase, what is the expected price you will pay? What is the value of the full price information? Question C.3 [20 marks] Suppose you can obtain the price information from only one market. In that case, from which market should you quote the price. Draw the decision tree to analyse it. Find the value of partial information using only the price information from Market 1. Repeat the calculation for Market 2.
Mathematics of Finance. TAKE-HOME FINAL EXAM. Due May 16, 2024, 11.59pm May 16, 23:59. If you are graduating, the take-home exam is due May 15, 23:59 Please write a pledge that final exam solutions represent your own work and that you did not copy solutions from the work of other students or other sources, and did not use any other forbidden means and did follow Columbia code of conduct. Each Problem is worth 10pt 1. Give the definition of the stock beta. Estimate MSFT stock beta relative to Nasdaq 100 using last 250 days historical regression from March 31, 2025 back 250 trading days. You can use QQQ as a proxy for Nasdaq 100. Please use adjusted price for both and subtract risk free rate (you can use SOFR). 2. Using bootstrap method (Hull) calculate zero coupon yield curve from coupon bearing bonds using continuous compounding. Bond Principal Maturity (years) Coupon Bond Price 100 0.50 0 98.25 100 1.00 0 96.125 100 1.50 3 96.25 100 2.00 4 96.125 3. Give the definition of duration and convexity of a bond and write the relationship between the change in yield and the bond price. 4.Bond is maturing in 10.5 years and has an annual coupon rate 4.0% coupon paid semiannually and price 91-16 a) Calculate its Yield to Maturity. (You can use Excel and try several yields until you get required price.) b) Suppose you have 8 Million market value of this bond. What is the Modified Duration, Macaulay Duration, DV01 and convexity of this portfolio? c) Using Duration and Convexity formula approximation calculate bond price if the Yield to Maturity is increased 10 Basis Points. d) Calculate the exact Bond price for 10 Basis points increased yield using the full discount formula. Compare the two results c) and d) 5. Which of these bonds is cheaper on a relative value basis i.e. which one has a higher yield: Bond A: Maturity 10yr, Coupon 5.7%, Price 83-12, Or Bond B Maturity 9yr, Coupon 6.1% Price 82-10. For coupons rate is annual and coupons are paid semiannually. 6. Consider an investment consisting of 1,800,000 dollars investment in index A and 2,000,000 investment in index B. Assume that daily volatility of each asset is 2% and correlation of returns is 0.4. Calculate 1 day and 10 days Value-At-Risk with 97 percent confidence. 7.Bonds with higher coupons everything else being equal a) Have higher modified duration than smaller coupon bonds b) Have lower modified duration than smaller coupon bonds c) Can have higher or lower modified duration. Explain your answer
Thermodynamics - Semester 1 2025 – Assignment PROBLEM 1 Multi-Mode Heat Transfer (18 pts) Consider heat transfer in two thermos flasks. Flask A has a vacuum layer sealed between the inner and outer shells. Flask B is same as Flask A except for several holes drilled near the top and bottom of the outer shell (as shown in the figure). The diameter of the inner shell is 8.5 cm and of the outer shell is 9.5 cm. Both shells are 17 cm tall and made of the same steel with negligible thickness. The steel surfaces are gray with an emissivity of 0.1. The flasks are well insulated at the top and the bottom. The inner surface is fully covered by the outer surface in terms of thermal radiation. The flasks are placed in a room where the ambient air and wall temperatures are both at 20ºC. The natural convection coefficient from the ambient air, ho, is 6 W/(m2-K). The water temperature, Twater, is uniform in both flasks, and the inner surface temperature is always at the same as that of the water. The density and specific heat of water is 1000 kg/m3 , and 4200 J/(kg-K), respectively. 1. Analyze the heat transfer of Flask A and draw a schematic for the energy flows. Derive the equations to determine the outer surface temperature, Ts,o, and the water cooling rate, dTwater/dt. (2 pts) 2. Solve the equations derived in part 1 using a finite difference method. The initial water temperature is 95°C. Calculate and report Twater, Ts,o, and dTwater/dt from 0 to 60 minutes at a step of 5 minutes. Plot Twater, Ts,o, and dTwater/dt as a function of time. (2 pts) Note: write a small computer routine to assist the calculation. 3. Analyze the heat transfer in Flask B and draw a schematic of energy flows. Derive the equations to determine Ts,o and dTwater/dt. In this case, the air layer temperature is assumed to be uniform. and constantly below the inner surface temperature by 20°C. The convection coefficient in the air layer hi = 20 W/(m2-K). (4 pts) 4. Solve the equations for Flask B using a finite difference method. The initial water temperature is 95°C. Calculate and report Twater, Ts,o, and dTwater/dt from 0 to 60 minutes at a step of 5 minutes. Plot Twater, Ts,o, and dTwater/dt as a function of time. (4 pts) 5. Discuss why the temperature drops differently in the two flasks. ( 1 pt) 6. Discuss what could be the actual temperature distribution in the water and in the air layer. Draw a schematic to show such temperature distribution in the two fluids. (2 pt) 7. Prove that air is flowing in the layer between the inner and outer surfaces. (3 pts) PROBLEM 2 Heat Conduction (12 pts) Heat transfer is crucial in designing nuclear power plants. A schematic of a nuclear reactor is shown below. The inner tubular rod is the nuclear fuel (thorium) which generates heat uniformly at 108 W/m3 . The fuel rod is surrounded by a graphite shell which is cooled by water. The inner surface of the thorium rod is well insulated. Thermal conductivity of all materials involved is invariant with temperature. 1. Determine the fuel rod’s outer surface temperature T2 . (2 pts) 2. Derive the equation for temperature distribution along the radius of the fuel rod. (3 pts) 3. Solve the temperature distribution using the conditions provided. (3 pts) 4. To prevent melting the fuel rod and the graphite layer, T1 and T2 must be kept below 1000 K. Are these conditions satisfied? (1 pt) 5. One engineer suggested that as long as the fuel rod is properly sealed from the cooling water, a thinner graphite layer should be used. From heat transfer’s point of view, do you agree? (3 pts)
The Rule of Law in Modern China CCCH9041 Instructions for the Writing of the Essay The essay you write for this course will count as 50% of the assessment in this course. The essay (and the Research Note mentioned below) should be submitted via Moodle before 12 noon on Tuesday 6 May 2025. More detailed technical instructions on how to submit your essay via Moodle will be provided later on this Moodle page. The maximum word limit for the essay is 2,000 words -- not counting words in footnotes and bibliography (bibliography or list of references is only necessary if you use the “in-text citations” of the APA style. mentioned below). You must submit together with the essay a “Research Note” (on the methodology of your research) consisting of not more than 1,000 words. The Research Note should set out how your research for the essay was conducted (e.g. what means were used for the research) and identify a few items of materials (e.g. journal articles or books) that you have found most useful and that you have relied on heavily in writing the essay and have cited in your essay. Please use the Cover Page on the Moodle page as the first page of your essay and your Research Note. Please provide on the cover page your UID number, your tutorial group number, and the topic number of your essay (if chosen from the topics set out below). Please type your essay and your Research Note using font size 14 and double spacing. Before you submit your essay and Research Note by uploading them onto Moodle, please give your document a file name in the following format: [2]3035123456[essay] [2]3035123456[ResearchNote] (3035123456 being the student no. and 2 being the tutorial group no. in the above example) The essay will be graded in accordance with the Grading Criteria (Grade Descriptor) posted on the Moodle page of this course. The essay is a research paper written on the basis of the research you do in preparing to write the essay. The source materials you use in writing the essay should be acknowledged either in footnotes or “in-text citations” in APA style. You are free to choose whether to use footnotes or in-text citations. Footnotes or “in-text citations” are normally used for various purposes, such as giving the source of a quotation or a paraphrased passage, acknowledging that a point or idea mentioned in your essay comes from the writings of another author, providing more information about a point you are making in your essay, etc. Where Chinese sources are cited, the Chinese characters of the author and title of the material should be provided. The style. and format of citations of materials in “in-text citations” (APA style) or footnotes should follow respectively (a) the “APA” style. (see below) or (b) the style. and format used in Reading 10 (Albert Chen, “China’s Long March Towards Rule of Law or China’s Turn against Law?” (2016) 4 Chinese Journal of Comparative Law 1-35, available on ReadingList@HKUL on the right-hand side of the Moodle page of this course). When you study the style. and format of citations in this article, please note that “ibid.” refers to the work cited in the immediately preceding footnote; a reference to “(n 2)” means the work previously cited in footnote 2 of the article; citation of webpages should follow the format at footnotes 122-124 of the article; when Chinese sources are cited, the Chinese characters of the author and title of the material should be provided, as in footnote 136 of the article. If you would like to follow the “APA” (American Psychological Association) style, please consult the following webpages: http://www.bibme.org/citation-guide/apa/ http://www.easybib.com/guides/citation-guides/apa-format/ Your essay should draw on a wide range of source materials read by you, and should not rely only on a small number of sources. Guidelines on how to do a research project have been provided at the lecture on 26 February 2025 (the PowerPoint document and the voice recording for the lecture are available on Moodle). You may also refer to the webpage on “The Writer’s Handbook: Writing a Research Paper” (available on Moodle). The essay must be written by you on the basis of your own reading of relevant publications (course materials in this course, books, journal articles, published reports, reliable Internet sources, etc.) or other relevant source materials (identified by yourself in the course of your research) as listed in the footnotes or “in-text citations” of your essay; plagiarism of others’ writings or the use of generative AI to write this essay is strictly prohibited, and the declaration on the Cover Page that you are required to sign states that you have not done so. The essay you submit will be automatically subject to a “Turnitin” check on plagiarism and on the use of AI in writing the essay. Please note that using AI to write the essay or plagiarism of any printed, online or other materials is a serious academic offence and will be penalized by reduction of marks or a “Fail” grade, and referred to the University’s Disciplinary Committee for investigation and punishment. Plagiarism includes not only copying (or paraphrasing) from published works (including Internet publications) without proper acknowledgment of the source (including any Internet webpage) in a footnote or in-text citation, but also copying from other students’ or other people’s work (even if it has not been published), or using your own work submitted for assessment in another course, academic programme or academic institution. If you quote directly from another person’s work, you must put the quotation in quotation marks (“ ”) and acknowledge the source. If you paraphrase a point in another person’s work, no quotation marks need to be used but the source must be acknowledged. Essay Topics Please choose one of the following topics as the topic of your essay. Your essay may focus on a “sub-topic” (chosen by yourself) within one of the topics mentioned below. If you would like to write an essay on any other topic covered by this course as your essay for assessment in this course, you may make a written application to the tutor of your tutorial group. The application should state precisely the topic of your proposed essay. The tutor may decide whether to approve your application or not. If it is not approved, you should choose one of the following topics as the topic of your essay. Topic 1: Confucianism and Legalism: Compare and contrast the views of the Confucians and Legalists in ancient China, and discuss whether they are still relevant to China today. Topic 2: Late Qing Legal Reforms: To what extent did the legal reformers in late Qing contribute to the modernisation of the Chinese legal system? Topic 3: Two Periods of PRC Legal History: Compare and contrast the thinking about and the practice relating to law and Rule of Law in the People’s Republic of China before the Cultural Revolution in 1966 and after the era of “reform. and opening” began in 1978. Topic 4: Lessons from the Cultural Revolution: Summarize the major lessons for the Rule of Law in the People’s Republic of China that can be drawn from the lawlessness in the Cultural Revolution era (1966-1976). Then discuss which part of such lessons have been well learnt in the post-1978 constitutional and legal reforms, and which part may need to be better addressed. Topic 5: Rule of Law in Mainland China: Select some aspects of the law, the constitution or the Rule of Law in mainland China, and discuss the progress (if any) made in these aspects in recent decades in mainland China, and the weaknesses or deficiencies (if any) in these aspects in mainland China today. Topic 6: Rule of Law in Taiwan: Select some aspects of the law, the constitution or the Rule of Law in Taiwan, and discuss the progress (if any) made in these aspects since the 1950s in Taiwan, and the weaknesses or deficiencies (if any) in these aspects in Taiwan today. Topic 7: Comparing the Judiciary in Mainland China and Taiwan: Compare and contrast the roles of the courts in post-1987 Taiwan and post-1982 Mainland China. Also discuss the implications of judicial independence for the development of the Rule of Law in these two jurisdictions respectively. Topic 8: Comparing the Judiciary in Mainland China and Hong Kong: Compare and contrast the roles of the courts in post-1997 Hong Kong and Mainland China. Also discuss the implications of judicial independence for the development of the Rule of Law in these two jurisdictions respectively. Topic 9: Comparative Study of Human Rights in Hong Kong and Taiwan: Compare the protection of human rights in Hong Kong and Taiwan, and discuss the constitutional, legal, and/or social factors that may have affected such protection in these two jurisdictions. Topic 10: Rule of Law, Judicial Independence, Human Rights and the Case of China: What, if any, is the relationship between the Rule of Law, judicial independence and human rights? How can these concepts be applied to study the legal system of the People’s Republic of China today? Topic 11: Rule of Law, Judicial Independence, Human Rights and the Case of Hong Kong: What, if any, is the relationship between the Rule of Law, judicial independence and human rights? How can these concepts be applied to study the legal system of the Hong Kong Special Administrative Region today? Topic 12: Human Rights and Chinese Values: Some people believe that “human rights” is a Western concept that is not suitable for China today, because Chinese culture, values and social conditions are different from those of the West. Do you agree with this view?
EC224 Stata commands for the empirical data analysis project Spring 2025 Suppose that in the Census data the variable denoting race has 10 categories (White, Pacific, Asian, Black, Hispanic, and so on). Since race represents a qualitative factor, not quantitative (the values corresponding to White or Hispanic do not bear any numerical meaning), we should convert the categorical variable into the set of binary regressors, one binary variable for each category in the original variable, race. There are two commands that you can use to convert categorical variables into the set of dummy regressors: one of them is tabulate race, generate(racebinary) the generated set of new binary regressors will be called according to that command racebinary1, racebinary2, and so on, one binary regressor for each category of the original categorical variable race) Another incorporates it into the regression command: regress earning i.race The former command has the advantage because you can choose manually from the set of new binary regressors the specific race type which you would like to have in your regression; the latter will drop the first one by default and use all the other binary racial regressors. Their coefficients will be interpreted as the difference between the earnings oftheir race and the reference (dropped) category. You can also try the following useful steps to take care of the categorical regressors: tab race //this command shows frequencies of each value in your sample of observations. *If you want to see the frequencies of several variables at once, you need to use tab1 *command – it will produce multiple, individual frequency distributions for each variable listed: tab1 gender race Suppose that you use secondary (from the Internet) data, and you have a variable called GENDER When you tabulate the frequencies of the two values in that variable, all what you see from the tab output is the frequencies for 0 and 1 observations, without having a vague idea of which observation is Male and which observations is Female. You might want to supplement the command with the nol qualifier – it will allow you to see the numeric codes of the categories of the Gender variable: tab gender, nol Knowing the numeric codes of your categorical variable can be helpful if you want to recode it. For example, you would like to recode a binary variable named gender that takes on the value of 1 for male to the binary variable that takes the value of 1 for female and name this new binary variable female. Then use the following command: recode gender (1=0) (0=1), gen(female) You can use the same command to create one binary variable out of the categorical variable: Creating a dummy variable from the categorical variable: Say, you want to see the differences in demand for textbooks (X) between the months of September to April and the period of May-August. However, you have the data on monthly demand only. Then, use the recode command to generate a binary variable that equals 1 for summer months only: recodeX (1/8=0) (9/12=1), gen(Xsummer) ***You could use any two numbers you want to represent each category. Assigning 0 and 1 to these types of indicator variables, however, is a common practice. It makes it easier to interpret the slope coefficients on binary variables this way. Next, to check that the command did what you were intending, type tab X Xsummer //generates a cross-tabulated values of the two variables Since the new variable does not have any value labels, we may want to attach the labels to it. We can do it in TWO steps: lab def season 0 “academic year” 1 “summer break” //defines a new value label called season such that observations in the new binary variable Xsummer with a zero value will be labeled as an academic year observations and observations coded as 1 will be labeled as a summer break period observations. lab val Xsummer season //the defined value label season is attached to the binary variable Xsummer Another way to create a dummy variable from the categorical variable To create a separate dummy for each level of a categorical variable area (1- urban, 2- suburban, 3 - rural), use tabulate area, gen(area) //it generates a series of 3 dummies, area1 – area3, for each possible value of the original categorical variable area. Creating dummy variables out of the continuous variables: Suppose we have a continuous variable density measuring population density across cities. We will use command generate and a logical operator & to generate a binary variable that takes the value of 1 if the population density is lower than 300 people per square mile, and the value of 0 if the population density is greater than 100: gen suburban = (100 >= density)&(density 9000 To learn how many observations (individuals or countries, depending on your topic) having values indicated in the summarize command (i.e., such that gdppercapita is greater than 9000 $ per year), use command count: count country if gdppercapita>9000 Econometric analysis Regress Y X1 //X1 is your key regressor If you would like to implement your regression analysis using a subset of observations in your sample, (for example, without country of Malta), type the following command in the Command window: Regress Y X1 if country != “Malta” //do not forget the quotes – they are necessary for string (not numerical) variables *interpret the slope coefficient for X1 and comment on the high likelihood of the omitted variable bias in the single-regressor model Regress Y X1 if X1
“Laboratory” Exercise Carefully read the notes on DC and AC Impedance Measurements included with this notice. You are provided with 2 Excel data files. The first contains two worksheets containing dc conductivity data as a function of temperature for 2 samples (A & B). The second contains 4 worksheets of ac impedance data as a function of measurement frequency for a sample at 4 different temperatures (100, 200, 3000 and 400oC). A. dc Measurements 1. Plot the data for the two samples as an Arrhenius plot [ln(conductivity) vs 1/T]. Remember to use values of temperature in Kelvin. [3] 2. For sample A, calculate the activation energy, Ea, from the slope of the graph. You will need to multiply the slope by the Boltzmann constant (kB = 1.38 x 10-23) and divide by the charge on the electron (e=1.6 x10-19) to produce an answer in eV. [3] 3. Comment on the form of the plot for sample B. Try to estimate the activation energy/energies ? [4] B. ac Impedance Measurements 1. For each of the four data sets, produce a Cole-Cole plot (i.e. -Z’’ vs Z’ ). [3] 2. From the plots estimate the dc resistance at each of the 4 temperatures and construct an Arrhenius plot to estimate an activation energy for dc conduction in eV. [3] 3. For each of the 4 data sets, plot spectra of -Z’’ vs log(frequency) and M’’ vs log(frequency). [3] 4. From the Z’’ spectra estimate the relaxation frequency for each temperature and plot the data as an Arrhenius plot of ln(relaxation frequency) vs 1/T; estimate an activation energy. [3] 5. Comment on why the form of the M’’ spectra is different from that of the Z’’ spectra. [3] If you use the Trendline function in Excel to calculate the slopes of your Arrhenius plots, be sure that the result that Excel provides has a sufficient number of decimal places to give an accurate answer. Current versions of Excel should be OK, but in older versions you may need to adjust the default number of decimal places that it uses to report the result. Provide your answers in a Word or pdf file. Fully illustrate your answer by pasting all the plots into the file and submit it via the submission box in the “Submit My Work” section in Minerva by 23.59 on 30 April 2025.
INT104 – Artificial Intelligence Coursework – Unsupervised Learning Exercise Introduction In this coursework, a spreadsheet has been provided to perform a set of data analysis. The spreadsheet contains the following information: the index of student, gender of student, the programme that a student is enrolled, the grade that the student is in, total marks that a student is awarded and the mark of 5 exam questions (indexed as Q1, Q2, Q3, Q4 and Q5). The first column is the ID of the student. The gender of the student is represented as “1” and “2” . The grade of the student is either “2” or “3” . The programme of the student is represented as “1”, “2”, “3 ” and “4 ”. The full mark for 5 exam questions are 8 marks (Q1), 8 marks (Q2), 14 marks (Q3), 10 marks (Q4) and 6 marks (Q5) respectively. The coursework requires students to cluster the samples in the dataset with the best dedicated metric. Tasks 1. With at least three sets of features, divide the provided dataset into four clusters. For each set of features, there should be at least three clustering process applied. The code of the experiment should be uploaded on Learning Mall. (60 Marks) 2. A lab session for live demonstration (Week 12) will be organised. Over the session, the students are given a new set of data. The student should adapt the Python script to the new dataset within the 4 hours. The time of adaptation will be recorded by your TA in a timely manner whereas the metric of performance will be recorded by the end of lab session. (40 Marks) Marking Criteria Task 1: Please upload your source code to Learning Mall as a Python script. The implementation of the following functions counts towards full marks of the task: • Apply transforms to raw data and obtain three sets of features. (1 marks each transform, 1 merk for each feature being applied to a clustering method, in total 12 marks) • Implementation of three clustering models (4 marks each, 12 marks in total): GMM, hierarchical clustering (HC) and k-means (KM). • An attempt to try different settings for each single clustering method (3 marks for each setting, 9 cases for 3 clustering methods lead to 27 marks in total) • A table showing the best performed clustering results for each set of features and each clustering method (possibly with the best configuration) (9 marks) Task 2: You will be given a new set of data and you need to adopt your Python script with the new data. The lab session will last for 4 hours. During the lab session, you should call your TA to record the time that you have successfully adapted your Python script. to the new dataset for the first time as marks are awarded accordingly. You then may keep on tuning the configuration of Python script. Once you are satisfied with your output, you should call your TA again to record the best metric you have obtained. The submission must be made before the end of lab session. Once you have uploaded your output file, you may leave the lab. Time Marks GMM HC KM Marks 1 hour 16 marks 8 marks 1 hour 30 mins 15 marks 7 marks 2 hours 14 marks 6 marks 2 hours 15 mins 13 marks 5 marks 2 hours 30 mins 12 marks 4 marks 2 hours 45 mins 11 marks 3 marks 3 hours 10 marks Metric Submitted 2 marks 3 hours 10 mins 9 marks Metric Not Submitted 0 marks 3 hours 20 mins 8 marks Metric: ratio between intra-cluster distance and inter- cluster distance Specific marking for metrics will be released before the start of live demonstration due to different datasets. 3 hours 30 mins 7 marks 3 hours 40 mins 6 marks 3 hours 50 mins 5 marks 4 hours 4 marks Submission 1. Task 1 should be submitted in a format of Python script (*.py or *.ipynb) or a package of files (*.zip). 2. The timing and metric information for task 2 will be directly documented by a TA. 3. Please name your submission file as ID_FirstName_LastName_C2.zip or ID_FirstName_LastName_C2.py etc. 4. Late submission policy of XJTLU applies.
Assignment 2 Due date: 18 October2024 Submission Please submit your works on the 125785 Stream website in the “Submission online - Assign- ment 2 (Distance and Auckland Internal)” • Please submit only one PDF file which includes: • Answers for Part A, B and C. • Computer printouts that are helpful for your answers. • Contents of R script for the commands used for your answers. • Use the filename name__surname__studentID__assignment2.pdf • The online submission is designed to facilitate the students. However, if you cannot submit online, you can also choose to submit via email. Part A: Regression Analysis – 10 points Use 10-year return data of a NZ public company and NZ__50 index. (or a stock in other exchanges with its market index). Perform the following analysis. Example: Use R code to obtain data 1 library(tidyverse) -- Attaching core tidyverse packages ------------------------ tidyverse 2.0.0 -- v dplyr 1.1.4 v readr 2.1.5 v forcats 1.0.0 v stringr 1.5.1 v ggplot2 3.5.1 v tibble 3.2.1 v lubridate 1.9.3 v tidyr 1.3.1 v purrr 1.0.2 -- Conflicts ------------------------------------------ tidyverse_conflicts() -- x dplyr::filter() masks stats::filter() x dplyr::lag() masks stats::lag() i Use the conflicted package () to force all conflicts to be 1 library(tidyquant) Registered S3 method overwritten by 'quantmod': method from as.zoo.data.frame. zoo -- Attaching core tidyquant packages ------------------------ tidyquant 1.0.9 -- v PerformanceAnalytics 2.0.4 v TTR 0.24.4 v quantmod 0.4.26 v xts 0.14.0-- Conflicts -------------- x zoo::as.Date() masks base::as.Date() x zoo::as.Date.numeric() masks base::as.Date.numeric() x dplyr::filter() masks stats::filter() x xts::first() masks dplyr::first() x dplyr::lag() masks stats::lag() x xts::last() masks dplyr::last() x PerformanceAnalytics::legend() masks graphics::legend() x quantmod::summary() masks base::summary() i Use the conflicted package () to force all conflicts to be 1 NZ50 % 2 tq_transmute(select = adjusted, mutate_fun = periodReturn, 3 period = "monthly", col_rename = "ret") Warning in to_period(xx, period = on.opts[[period]], ...): missing values removed from data A1. Sell in May and go away strategy (5 points) The Sell in May and Go Away does not invest the market during May to October and invests in the market during November to April. Assume when going away, it earns 0%. See the discussion of the strategy in the US at https://www.investopedia.com/terms/s/sell-in-may- and-go-away.asp • Discuss the descriptive statistics (average return and standard deviation) of the buy- and-hold return and the sell-in-May return. • Use two-sample t-test and paired t-test to test whether the buy-and-hold return and volatility is significantly higher than the sell-in-May return market. Discuss the ap- propriateness of each test. A2. Loan approval model. (5 points) Use data “loanapp” from library(wooldridge) approue = α + β1white + β2 loanprc + β3married + E • Compare the out-of-sample performance of the loan approval models based on OLS and logit regressions. Use the first 70% of the sample to estimate the model and use the remaining 30% to do the out-of-sample performance using information in the confusion matrix. I.e., discuss the accuracy, precision, recall, F1 score , and Area Under the Receiver Operating Characteristics Curve (ROC-AUC). Part B: Assumptions in the Regression – 10 points B1. CLRMs and Specification assumptions (5 points) Use the (raw) dataset “wage1” in the library(wooldridge) to analyse multiple determinants of income. lwage = α + β1 educ + β2 e per + β3tenure + β4 female + E Note: Refer to help for variable description. lwage is log(wage) • Estimate the model and interpret the results in statistic and economic terms of the return to education. • Discuss if the model satisfies the CLRM1, CLRM2, CLRM3, CLRM4, CLRM5, multi- collinearity, function form, and parameter stability assumptions. Support the discus- sion with the test results and solutions if necessary. B2. Panel data analysis (5 points) Use data “hprice3” from library(wooldridge) lprice = α + β1 lland + β2 llarea + β3 baths + ∈ • Estimate the model using the fixed-effect regression with neighborhoold and year fixed effects with the clustered standard error by neighborhood. Discuss the economic impact of the number of bathrooms on the price. • Estimate the model using the random effect. Is the result different from the OLS model? Test whether the random effect model or the fixed effect model is more appropriate. • Discuss the benefits and weaknesses of the fixed effect model in the panel data analysis. Part C: CausaI lnference and CriticaI Reading of a Research ArticIe — 10 points C1. Causal Inference (5 points) You are researching whether the CEO risk taking propensity (explanatory variable) affect the firm performance (outcome variable). The control variables are 1) size 2) book-to-market ratio 3) leverage 4) profitability • Draw the Directed Acyclic Graphs (DAGs). Is it possible to identify the effect of CEO risk taking on firm performance? Provide the evidences to support the answer. • What control variables need to be included and excluded in the regression model? Provide the evidences to support the answer. • Examine the causal impact of the CEO risk-taking using the instrumental variable and the 2SLS regression. Suggest one possible IV of the CEO risk-taking. Evaluate whether such IV is appropriate. Provide the evidences to support the answer. C2. Critical Reading of a Research Article (5 points) Select one research article relating to the ESG. ESG (Environmental, Social, Governance) is associated with many firm characteristics and outcomes (i.e. risk and performance).The articles should be published on or after 2015 (including forthcoming articles) in the top or the ABDC-A* journals (see the list below) in Economics, Finance or Accounting . • Carefully read the article and write a short reports. • Each report is around 5 pages double-spaced (1,000 words) discussing • Why this is an interesting research? • Summarize the article. (purpose, data, methods, key findings) • Critically discuss the methodological/econometrics challenges and solutions. Top Journals Economics Quarterly Journal of Economics (QJE), Journal of Political Economy (JPE), American Economic Review (AER), Econometrica (ECT), Review of Economics Studies (RES) Finance Journal of Finance (JF), Journal of Financial Economics (JFE), Review of Fi- nancial Studies (RFS), Journal of Financial and Quantitative analysis (JFQA), Review of Finance (ROF), Management Science (MS), Journal of Business (JB) (Discontinued) Accounting The Accounting Review (TAR), Journal of Accounting Research (JAR), Jour- nal of Accounting and Economics (JAE), Contemporary Accounting Research (CAR), Re- view of Accounting Studies (RAS) Management Journal of Management, Academy of Management Journal, Journal of Op- erations Management, Academy of Management Review, Strategic Management Journal, Management Science, Journal of International Business Studies, Organization Science, Jour- nal of Management Studies ABDC A* Journals: Economics • American Economic Journal: Applied Economics • American Economic Journal: Economic Policy • American Economic Journal: Macroeconomics • American Economic Journal: Microeconomics • American Economic Review: Insights • American Journal of Agricultural Economics • Econometric Theory • Econometrica • Economic Theory • Energy Economics • European Economic Review • Experimental Economics • Games and Economic Behavior. • Health Economics • International Economic Review • Journal of Applied Econometrics • Journal of Business & Economic Statistics • Journal of Development Economics • Journal of Econometrics • Journal of Economic Behavior and Organization • Journal of Economic Dynamics and Control • Journal of Economic Growth • Journal of Economic Literature • Journal of Economic Perspectives • Journal of Economic Theory • Journal of Environmental Economics and Management • Journal of Financial Econometrics • Journal of Health Economics • Journal of Human Resources • Journal of International Economics • Journal of Labor Economics • Journal of Monetary Economics • Journal of Money, Credit and Banking • Journal of Political Economy • Journal of Public Economics • Journal of Risk and Uncertainty • Journal of the European Economic Association • Journal of Urban Economics • Quantitative Economics • RAND Journal of Economics • Review of Economic Dynamics • The American Economic Review • The Economic Journal • The Journal of Economic History • The Journal of Law and Economics • The Quarterly Journal of Economics • The Review of Economic Studies • The Review of Economics and Statistics • Theoretical Economics ABDC A* Journals: Finance • Critical Finance Review • Insurance: Mathematics & Economics • Journal of Banking & Finance • Journal of Corporate Finance • Journal of Financial and Quantitative Analysis • Journal of Financial Economics • Journal of Financial Intermediation • Journal of Financial Markets • Review of Asset Pricing Studies • Review of Corporate Finance Studies • Review of Finance • The Journal of Finance • The Review of Financial Studies ABDC A* Journals: Accounting • Accounting Auditing and Accountability Journal • Accounting, Organizations and Society • Auditing: A Journal of Practice and Theory • British Accounting Review • Contemporary Accounting Research • Journal of Accounting and Economics • Journal of Accounting Research • Journal of Business Finance & Accounting • Journal of Management Accounting Research • Management Accounting Research • Review of Accounting Studies • The Accounting Review • The European Accounting Review
