SS5302 Research Methods in Social Sciences Semester A 2025- 26 Yeung LT401 (for Lecture) and other venues for SPSS 19:00 – 21:50, Tuesday Wing Chung Ho Associate Professor wingcho@city u.edu.hk; Li 5662, 3442 - 8134 Chau Kiu (Jacky) Cheung Associate Professor ssjacky@city u.edu.hkl Li 5667, 3442- 8144 Office hours: by appointment 1. Course Aims This course aims to introduce basic research methods in social sciences, including both qualitative and quantitative approaches, and their application in social science issues. The course will cover research strategies and designs, practical issues in quantitative and qualitative methods, and research ethics and values. Upon completion of this course, participants will be able to: 1) demonstrate a thorough understanding of qualitative and quantitative research methods in social sciences and their application in different research settings; 2) identify the relative strengths and weaknesses of different research methods in social research; 3) design a correlational study on a social science topic; and 4) comment critically on selected qualitative and quantitative studies. 2. Teaching and Learning The course contains lectures and data analysis exercises. You are expected to spend time digesting the lecture materials and working on research project (qualitative) and SPSS exercise (quantitative) . You are encouraged to schedule individual or group consultation with the instructors on the progress of coursework, especially the research project and SPSS exercise. The course will be very useful for you to do rigorous qualitative and quantitative research in social sciences. We will post announcements and lecture notes on the course webpage in Canvas (you can login to Canvas via https://canvas.city u.edu.hk/login/ldap using your Electronic ID and Password) . Most readings listed in this syllabus are reserved in our university library. Department of Social and Behavioural Sciences, City University of Hong KongPage 1 Please finish the readings, including reading materials of the handouts, before class. 3. Assessment 1) Fieldwork Notes (qualitative) 20% 2) End- of- term Q uiz (qualitative) 40% 3) SPSS Exercise (quantitative) 40% 100% Deliverables: 1) Fieldwork Notes (qualitative, for the method of photovoice) (20%) Fieldwork Notes include three parts: i) 3 photos, ii) 3 audial files for each photo (each audial file must at least last for 1.5 minutes) , and iii) transcription of each audial file in word format (at the beginning of the transcription, you must give the following information: student no., gender, year of birth, place of birth, length of residence in Hong Kong, and name of the community (if appropriate) . All these parts (photos+audial files+transcription word files) must be uploaded to Canvas. Any deviation from the above requirements will be conducive to mark loss. Two research topics are allowed for taking photos: 1. My (most impressive) experience of studying at City University of Hong Kong? 2. My (most impressive) experience of living in my community (one community for three photos) ? 2) Q uiz (qualitative) (40%) Location: Lecture room Materials: Closed book (no internet access, no external tools like Chat GPT, Deep Seek, etc.) Structure: Part 1: Multiple Choice Q uestions (60%) Focus on: - Contents from PowerPoint presentations - Matters discussed in lectures - Q uestions derived from the assigned readings in this outline (qualitative aspects) Part 2: Short Answer Q uestions (40%) Aim to assess the student ’s understanding of: - The nature of qualitative data - The use of real qualitative data (based on the Fieldwork Note submitted) to understand a social phenomenon More details will be provided in Week 13. 3) SPSS Exercise Assignments (40%) Each student needs to apply SPSS to compile a coherent and meaningful report due on Dec 8. The report needs to apply 5 SPSS procedures taught in this course to address a research question based on a common dataset. This report needs to include a literature review section (20%) , a method section (10%) , results section (50%) , and a discussion section (20%) . Good description, justification, referencing, and formatting are necessary. The report will have 1, 500 words in the main text, submitted in a single- line spacing Word file.
Module Title: Project Management in Business Module Code: 5BUS1205 Assignment Format & Maximum Word count TEAM Report – Maximum 25 pages (incl Appendices) Assignment Weighting: 30% team mark individualised by Feedback Fruits Coursework Submission: Date: 12th Dec 2025 Time: 23:59 Method: Canvas Coursework return Date returned to students: 16th Jan 2026 Due to Christmas break Module leader Claire Dutton First marker Claire Dutton Mauro Giles Internal Moderator Approved ☐ Date: Module Board name BAS External Examiner Approved ☐ Date: Module Board date TBC Module eligible for an extension on submission date (subject to UPRs) YES / NO Coursework eligible for an in module retrieval capped at 40% YES / NO Assessment Criteria Learning Outcomes: Knowledge and Understanding tested in this assignment: · Examine the characteristics of projects and project management and how these differ from line and functional activities and management. · Define the scope & objectives of a project based on core requirements · Explore tools & techniques for planning, evaluating & controlling projects Learning Outcomes: Skills and Attributes tested in this assignment: · Research and plan a project using appropriate methods and tools such as work breakdown structure, precedence table and network activity diagram, project organisation. · Demonstrate ability to interact in a project team environment to meet project objectives Feedback /Marking criteria for this Assignment · Performance will be assessed using HBS Grading Criteria (Rubric) · Feedback for improvement will be given in writing via your Canvas module site within 4 weeks of submission · Lateness Penalty: For each day or part day up to five days after the published deadline, coursework relating to modules submitted late will have the numeric grade reduced by 10 grade points until or unless the numeric grade reaches the minimum pass mark (UG 40/PG 50). Where the numeric grade awarded for the assessment is less than the minimum pass mark no lateness penalty will be applied. If the coursework is submitted more than 5 days after the published deadline, it will not be marked and a grade of zero will be awarded. Please note: Referred coursework submitted after the published deadline will be awarded a grade of zero (0).” · Extensions: Students do not have an automatic right to an extension. If you require an extension, this must be requested in advance of the submission deadline. Please give your reason(s) for needing an extension. · Retrievable Assessment: Due to time constraints with module boards, this assignment will NOT be eligible for another attempt capped at 40% Detailed Brief for Team Assessment Assignment Title: Transforming the Howard Centre: Sustainable Urban Renewal in Welwyn Garden City Project scenario: YOU MUST USE THE ACCOMPANYING PROJECT SCENARIO DOCUMENT. IT IS IMPORTANT THAT YOUR WORK IS TAILORED TO THIS PROJECT. (It is the same scenario as CW1) This assignment builds directly on your previous work in CW1. To show your understanding of key project management planning techniques, you will work in a team of 3 or 4 students to create a Project Initiation Document (PID) in report format. Allocation to a team will be clearly advised by the module tutor. You should contact the module leader if you have any queries with this process (please wait until the module has started). Welwyn Garden City (WGC) Council has hired Vision (your project-based employer) to refurbish the Howard Shopping Centre. Your team has been asked to propose an idea for one unit in Phase 2 of the project. · Phase 2 Focus: Transform. selected units into community spaces. · Your Team’s Task: Choose one unit and plan its refurbishment. · Project Timeline: o Start Date: 1st April 2026 o End Date: 31st July 2026 o Duration: 18 weeks o Launch Date: 1st August 2026 (in time for summer holidays and before new residents move in during Autumn 2026) Your team should come up with a community-focused concept for the unit. It must be: · Legal · Suitable for regular use · Appealing to a segment of the community Examples could include: · Music, Art, Entertainment, Sport, fitness, or dance, Food and drink etc. You can tailor your idea to a specific group (e.g., young people, families, older adults), but make sure the space will be used consistently. Please do NOT contact the Howard Shopping Centre, as although the project scenario is authentic, based on other real UK examples, the choice of shopping centre is a fictional example selected for your university assessment What do I need to do? Use of Generative AI is permitted as part of an activity to help your team with ideas for a community idea and one section below (Work Breakdown Structure), where it’s use is clearly indicated. Otherwise, you need to complete the work independently and without use of AI. The Project Initiation Document (PID) – key elements: · Title Page · Contents page · Introduction to include unit design idea · Project Objectives · Constraints of the project · Assumptions made. · Layout plan (a sketch the facilities, outside & inside views) · Brief description of venue to explain plans drawn. · Work Breakdown Structure (WBS) The WBS development can be enhanced by utilising Copilot. The module tutor will provide some guidance. · Scope (Summary of the main headings of the WBS) · Precedence table (with resource column) · Network diagram including PERT. · Roles and responsibilities · RACI matrix · Budget for project (your team is to determine this) · Appendix containing a teamwork log. Other essential project information · Your unit will be empty of fixtures and fittings and has been stripped back to bare walls. · The dimensions of your unit: length 15m, width 15m, height 4m · There is already full height glazing on one side and an entrance door. · It will a supply of have both electricity and water. · Consider provision of up-to-date technology e.g. super-fast fibre ethernet and technology if you need it for bookings, other business use etc. · You should also pay attention to boarding & plastering the walls and providing suitable hard wearing flooring before you consider the fittings, fixtures, decorating and furniture needed for your community idea. · You may need the construction of some internal walls depending on your community idea. For example: small reception/office area, changing areas etc · You will need to plan for activities to source and obtain quotations from suppliers and contractors. · Cleaning and testing of the venue will be needed before it is signed off and handed over to the operations team. · To meet sustainable goals/legislation, consider aspects such as water use. For example, you may wish to consider small trees/plants/living wall within your unit to enhance air quality & well-being · Pay attention to provision to meet Accessibility legislation · The council have secured funding they believe to be sufficient and as a project team you will be required to plan a likely budget for the work to get your unit ready. · It is NOT the responsibility of the project team to look for any further loans or investors. · External contractor day rate is £275 per contractor. · Internal project team member day rate is £150 per team member. · You will need to keep your manager at Vision informed of progress Please note that you are NOT responsible for operational concerns such as recruiting staff, or for the marketing pre-launch. These activities are OUT of your project scope A suggested template for this assignment has been provided in the Assignment 2 support Unit on Canvas. Please use it to maximise your marks. In addition, some sample assessments will be shown in one of the workshop sessions.
Stats Project: Financial Stock Advisor Scenario: You are a financial advisor who is looking to recommend a stock to clients via a podcast/vlog. You will work with your team (you plus 2) to research a total of 3 stocks and create a podcast/vlog that delivers an analysis of the data you collected. You will include visual representations and use your analysis to inform. possible clients ofthe best choice, if any, of the researched stocks. Part I: Finding the Data a) Go to “Yahoo Finance” at https://finance.yahoo.com on the computer and search for a company that has been publicly traded since 2014. (Use the search bar at the top of the website if you have a company in mind.) On the site, select “historical data” and look at the stock prices for the same date of each year. In the table below, write down the day’s high and low price. Then calculate the mean (average) price for each date. GROUP STOCK THEME: __________________________ Name of Stock: ______________ Stock Symbol: __________ Part II: Statistics b) Find the following measures of your average prices. mean = _____ median = _____ mode = _____ range = _____ S.D. = _______ Which measure do you think best represents your data? Write a few sentences explaining why. c) Calculate the 5 values for a box and whisker plot, then draw the plot. (Use online programs to help.) least = ________ 1st Quartile = ________ median = ________ 3rd Quartile = ________ greatest = ________ d) Are there any outliers? Use the interquartile range to justify your answer (show your work). e) Do you need to create a new box plot and look over the information again because of outliers? If so, then do it. Part III: Graphing and Prediction Equations f) Draw a coordinate plane on graph paper or Desmos and plot your (x, y) ordered pairs from the table on the front page. g) On your graph paper, draw a horizontal dotted line representing the average price of the stock for the last ten years. h) Do at least 3 different types of regressions for your data (you can use Desmos). Write down each equation and graph them with your data. i) Use each equation to predict the value of your stock for the month and day you selected, 2030. Show your work and write your answer below. j) Which prediction makes the most sense to you? Write a few sentences about this. Part IV: Analysis Directions: As a group of financial advisers. One of your advisees comes to you and asks about investing in the companies you researched. Create a podcast/vlog for your advisee explaining why you would or would not recommend the researched companies. Include the following information. --Description of your company. What does the company do? How big is it (what is their market cap)? --Name some companies that are similar to your company. --Future predictions for the stocks --Recommendation to buy or not to buy (use your data to support your answer ) (This should be in your own words, not cut and pasted from a website. Keep in mind how you are being assessed. You should include proper citation of any sources and submit your script for the podcast/vlog). Example: Apple Stock (AAPL)
CSC61604 Computer Networks Trimester 09 2025 Group Assignment (30%) Design and Configure a Smart Campus Library Network using Cisco Packet Tracer Objectives This assignment allows students to design and configure a LAN topology by applying networking principles for both wired and wireless environments, while integrating IoT and external connectivity. Students must also consider the physical layout of the Taylor’s University Library to propose an efficient network and space design that supports users, staff, and services. Learning Outcomes MLO3 Propose basic network operation solution through a presentation and report for a simple network Skills: Critical and creative thinking skills Design Scenario Taylor’s University Library is upgrading its network infrastructure to support seamless student learning, efficient library services, and smart facilities management. Your team has been contracted to design a Smart Library Network using Cisco Packet Tracer. The network should provide: • Reliable connectivity for staff and students. • IoT-enabled facilities for monitoring and security. • Integration with external university and vendor servers. • A physical space layout plan of the library (using the Taylor’s University Library floor arrangement: study zones, collaborative pods, staff offices, service counters, and reading halls). Requirements 1. Users & Devices • Staff Network: o 20 wired PCs for librarians and administrators (placed in staff offices and counters). o 2 network printers accessible via the staff VLAN. • Student Network: o Wi-Fi coverage for up to 100 simultaneous student users in study areas, collaborative pods, and reading halls. o Access to Internet and university digital resources. • Library Services: o 10 wired self-service kiosks for book borrowing/returns (connected to University Library Server). o 3 wired e-payment terminals for fines and fees. • IoT Devices: o 10 IP surveillance cameras (strategically placed at entrances, pods, and reading halls). o RFID book scanners at kiosks. o Smart lighting and temperature sensors in study zones. 2. External Connectivity • University Library Server (203.0.113.50) – Digital catalog and resource synchronization. • Payment Gateway Server (198.51.100.40) – Secure payment transactions. 3. Physical Space Layout Your design must include a floor plan-based layout showing: • Access Points (APs) distribution to ensure full Wi-Fi coverage. • Switch placements for wired connectivity (service counters, kiosks, staff areas). • Camera placements for security coverage. • IoT sensor placement in study and reading zones. • Wired vs wireless zones clearly marked (e.g., kiosks = wired, student laptops = wireless). 4. Network Topology & Configuration • At least 1 wired router (ISP) and 1 wireless router. • Appropriate number of switches to connect devices per floor. • VLAN segmentation: o Staff o Students o IoT Devices o Library Services (kiosks & e-payment) • DHCP for students and staff; static IPs for servers and kiosks. • Routing configuration with default gateways and subnetting. 5. Connectivity Verification Use Packet Tracer to verify: o Staff PCs → University Library Server & Internet o Student devices → Internet & digital catalog only o Kiosks → University Library Server o E-payment Terminals → Payment Gateway Server o IP Cameras & IoT Sensors → Admin PC in staff office Testing methods: ping Submissions 1. This group assignment must be completed in a group of 3 to 5 members. All members must be from the SAME practical section. 2. Team members must be registered here: https://docs.google.com/spreadsheets/d/1VyNHL82ON6ZBq9DrKhLKtUXOxiNkG9_B7 ao1AHF_FzY/edit?usp=sharing 3. The assignment report must be submitted by the group leader. 4. Save your zipped file using the following format: PracSec#_Team#_CSC61604.zip 5. The submission must be made according to the practical section via MyTimes. Deliverables: Individual Cisco Badges (6%) 1. Each student is required to complete all three Cisco Packet Tracer modules via the Cisco Networking Academy portal. 2. All modules must be completed at the latest by Week 8, 16th November 2025. 3. A penalty of 1 mark is applied for every 5-day late submission. Assignment Report + Cisco Packet Tracer File + Presentation Slides (15%) 1. The assignment must attach the front cover prepared for this assignment. 2. All group members must digitally sign and agree on the submission conditions stated on the cover page. 3. The assessment rubric must be included after the front cover page of the report. 4. In the presentation rubric, fill up student ID for all team members for the delivery criterion and the total marks. 5. Your report must include a table of content and a reference list. 6. The report should not exceed 30 pages excluding the cover page, table of content, and reference list. 7. Your report must be typed using Microsoft Word with Times New Roman font size 12. Report should use spacing 1. 8. Your report should include the following: a. Part 1: Physical space design (library floor plan with device placements) b. Part 2: Network topology diagram and IP addressing scheme c. Part 3: Configuration details d. Part 4: Troubleshooting documentation 9. The report must be saved and submitted in PDF format. 10. The report has to be well presented and should be typed. Submission of reports that are unprofessional in its outlook will not fare well when marks are allocated. 11. Plagiarism and collusion are serious offences and all groups involved will automatically be awarded zero marks. 12. All information, figures, and diagrams obtained from external sources must be referenced using the APA referencing system accordingly. 13. Presentation slides should only contain 5 slides: a. Slide 1: Team members and task distribution b. Slide 2 & 3: List of fulfilled requirements, unfulfilled requirements, and additional features added to the design. c. Slide 4: Strengths ofthe proposed design d. Slide 5: Limitations of the proposed design 14. Zip your Packet Tracer file and presentation slides together with your assignment report. Live Demo Online Presentation (5%) 1. Your team will present the slides and demo your proposed solution during your practical session in Week 13. 2. Your presentation must be within only 5 to 10 minutes, including real-time demo session. All members must be given a slot to present their parts. Peer Evaluation (4%) 1. Each team member must evaluate the teamwork contributions of every other member in the team. 2. The form. will be physically distributed during your presentation session. 3. If you are absent from the presentation, you will not receive any peer evaluation marks. 4. If you do not complete any evaluation for your respective team members, it is deemed that you are not participating in the team, hence will not receive any peer evaluation marks too. 5. Evaluations from peers are strictly confidential and only known to the teaching staff.
Module code and Title IOT302TC Wireless Sensor Networks School Title School of Internet of Things Assignment Title Coursework 2 Submission Deadline 23:59 PM China time (UTC+8 Beijing) on Sunday 14 December 2025 Final Word Count N/A ASSIGNMENT TASK (INDIVIDUAL WORK) You are required to work individually to complete the assignment. There are one questions and you have to answer all of them. To complete the assessment, you need to apply the skills that you developed in the lecture and lab where you learned how to analyse the design and deployment issues of IoT radio communication systems and use the existing systems to optimise for real-life applications, understanding the fundamental operating principles of wireless communication, and the services available from different radio systems, understanding of the networking architectures and protocols applied in different radio systems. It is strongly encouraged that you do some additional research to identify, collect, and compare further relevant information that can be incorporated into your report. When using different sources, you must ensure that they are correctly referenced, and you need to synthesise your own ideas and present them in your own words. SUBMISSION FORMAT INSTRUCTIONS The assignment must be typed and submitted hand-in on-site. The format of the report should follow the below structure: • Cover page filled in with your student ID • Your answer to each question Deadline reminder: 23:59 PM China time (UTC+8 Beijing) on Sunday 14 December 2025 LEARNING OUTCOMES This assignment tests your ability to: A. Design communication protocols on the link and networking layers for wireless sensor networks. B. Show familiarity with operating systems and programming languages for wireless sensor nodes/networks. C. Show familiarity with architectures, functions and performance of wireless sensor network systems and platforms. D. Design and analyse the specific requirements for applications in wireless sensor networks regarding energy supply, memory, processing and transmission capacity, etc. E.Program wireless sensor networks/nodes. F. Develop wireless sensor network applications. MARKING CRITERIA The following criteria will be used to assess the assignment. This report is marked for the whole group. Outstanding: Report format is consistent throughout including heading styles, fonts, and margins, figure/table/diagram are correctly labelled, effectively interpreted and discussed, writing flows smoothly from one idea to another, information is presented in logical and interesting way, all information is located in the appropriate section, calculation process is clearly presented before arriving to the final answer or conclusion. Appropriate: Report format is generally consistent, figure/table/diagram are properly interpreted, sentences are structured and word are chosen to communicate ideas clearly, information is presented in logical manner, information is located in the appropriate section, calculation process is properly presented before arriving to the final answer or conclusion. Needs Improvement: Report format is inconsistent, figure/table/diagram are poorly interpreted and discussed, sentence structure and/or word choice sometimes interfere with clarity, information is hard to follow as there is very little continuity, many items are in the wrong section, some steps or procedures are missing before arriving to the final answer or conclusion. Hard to Understand: Report format is inconsistent, figure/table/diagram are not used effectively, sentence structure and word choice make reading and understanding difficult, sequence of information is difficult to follow, lack of appropriate sections and many items are in the wrong section, some steps or procedures are missing in the calculation process, the final answer and/or conclusion are incorrect. No submission or Missing Section: No submission or missing section of the discussion in the report. The following table indicates what is expected for each classification category, highlighting generic marking criteria that bring together expectations in performance for each percentage (or alphabetical) band and the criteria that need to be satisfied. Question 1 (100 marks) Low-altitude wireless sensor networks (LA-WSNs) deploy sensor nodes on unmanned aerial vehicles (UAVs) or ground infrastructure below 500m altitude. These systems enable critical applications like wildfire monitoring, precision agriculture, and disaster response. Unique challenges include 3D dynamic topologies, energy-constrained mobile nodes, variable link quality, and real-time data processing. This assignment requires designing an integrated LA-WSN solution addressing protocol design, software implementation, system architecture, resource constraints, and application development. This coursework requires designing and simulating an LA-WSN, such as traffic monitoring, wildfire detection, in an urban area. Your solution must integrate all six learning outcomes (A-F) in a research paper (3,000 - 4000 words) and Python simulation.
Project 3 - Multimodal Advocacy Website + Reflection Based on assignments and projects completed during the class, please choose an advocacy topic that best fits your interests. You will take a stance regarding the said issue and advocate for a realistic change on the individual and community level based on the real-world context. Then, build a website that includes multimodal elements such as texts, pictures, charts, audio, and video. All elements incorporated into the websites should be self-produced. Please include: A thesis statement that guides your process as well as the construction of the website. At least three different multimodal elements that are self-composed. A “Works Cited” or “References” page that properly cites the research conducted for the website. An Artist Statement (at least 300 words) that traces your creative process while completing the project, as well as explains the rhetorical choices made in each genre and how these choices are rhetorically effective for context and audience. Draft 1: No length requirement This draft can be an outline, a rough draft, a free-write, or notes. This is a plan on how you will write your final draft. Make sure you clearly state your topic and stance and include a well-defined “Works Cited” page. They don't have to be done but should show a general idea of where you are taking your project. Final Draft Produce a website that advocates for an issue you care about. This is a polished and complete version of your website that includes the listed elements.
ATW153 - Financial Accounting Semester 1, Academic Year 2025/2026 Group Assignment (10%) Submission date: 19 December 2025 (Friday) - Week 11 Requirements: 1. This is a group assignment. The class will be divided into groups. Each group must have maximum 5 individuals. 2. Requirements of the report is as follow: • Font text - Times New Roman • Font size - 12 • Alignment - Justify • Line spacing - 1.5 3. All workings and notes must be shown. Marks will be deducted for poor presentation and organisation of answers, spelling errors and lack of teamwork. 4. Provide citation and references for the published articles. 5. Submit the PEER EVALUATION FORM. Each group needs to submit the form on a separate sheet. 6. The Peer Evaluation form. should be included within the Appendix section with 3 columns of a table which includes (i) Name of the Group Member (ii) Level of Contribution (0% to 100%) and (iii) Comments on the area of contributions within this group assignment. Each group, consisting of FIVE (5) members, will be assigned a Company (listed on the main board of Bursa Malaysia). Each groups needs to download 3 annual reports for the financial year ended 2023, 2024 and 2025, or in certain cases 2022, 2023 and 2024. Note: Based on the assigned company, answer the questions below: Question 1 An introduction, setting out the overview of the company, background history and the economic environment. (20 marks) Question 2 There are four major areas in financial ratio analysis as listed below: i. Liquidity ii. Profitability iii. Leverage iv. Efficiency (Detailed workings need to be attached in the Appendices) a) Explain each of the financial ratio areas given above. (20 marks) b) Calculate minimum two key financial ratios each for the three years (2023, 2024 and 2025) in each of the major area stated above. In total you are required to calculate 24 ratios. (Detailed workings need to be shown) (30 marks) c) Interpret the different aspects of the company’s affairs by means of the various financial ratios above that have been calculated and compare them with those of the previous years. (20 marks) d) Base on the calculations and interpretation done recommend how can the company’s performance be improved further. (10 marks) [Total: 100 marks]
Assignment 3 Instructions For Part 1, you will use R and the dataset assignnment3.csv. Make sure you include library(tidyverse) when you start your session! The dataset you will be working with is a cross-section of countries (unit of analysis, or rows, are a country) with data from the World Bank. The variables in the dataset are as follows: • cerealcrops: the metric tons of cereal crops the country produced (tons of corn, rice, oats, wheat, ect.) • primeduc: the percentage of persons over 15 who have primary school as their highest educational attainment (note, a country that is high on this dimension means most adults have not completed high school, whereas a country that is low is one where most adults have completed a level of school higher than primary.) • gdp: the most recent gross domestic product of the country • smoke: the percentage of the adult population that reports smoking tobacco products. • infmort: the rate of infant mortality per 1,000 births. • lifeexp: the life expectancy of women in the country • pop: the total population count • urbpop: the percentage of the population that lives in urban areas. • continent: the continent the country is in. • democ: a binary measure of whether the country is a democracy. For R related questions: • You do not need to copy and paste every plot into your answer document - I will know what the plots look like, you can instead just copy and paste your script. in the end, and if anything seems off, I will check your code for partial credit. • Be sure to provide complete comments on what you see: if you see a histogram, comment on the shape, if you run a regression, tell me what the direction of the relationship is, what it means in substantive terms, and whether it is statistically significant. • Reach out with any questions! For Part 2, you are given a set of cases to examine to select case studies. You will not need to run any R code for Part 2! Part 1 Question 1 A. Provide a five number summary of infant mortality summary(df$infmort) What is the median, mean, and interquartile range of infant mortality? What do these metrics help us describe? B. Make a histogram of the relationship ggplot(df, aes(infmort)) + geom_histogram() Describe the shape and spread of the distribution. Based on your answer in Part A, are you surprised by the shape, or does it seem consistent with the central tendency and spread that you found earlier? C. Your friend says that there must be a problem with the data, since the Central Limit Theorem implies the shape should be a symmetric and unimodal bell curve. How would you respond to them? Question 2 You theorize that democracies are more responsive to needs of the people they govern, therefore, the life expectancy in democratic states should be longer than in autocratic ones. A. By adapting what you did in Assignment 2 to find difference in means, find the difference in means for life expectancy between democracies and non democracies (using the variable democ). Be sure to do a t-test, and describe the substantive and statistical signifigance of what you see. B. Now, suppose we run a regression instead to evaluate our hypothesis. Run the regression m = lm(lifeexp ~ democ, data = df) summary(m) Interpret the regression results in the same way (describing substantive and statistical significance). Does the difference in means test match the regression test? Question 3 Below are four regressions where life expectancy is the dependent variable and the independent variables are: primeduc (percentage of adults who have only completed primary school, nothing beyond), urbpop (percentage of persons living in cities), smoke (percentage of adults that smoke), and pop (total population). For each plot, comment on i.) the direction of the relationship ii.) the strength of the relationship and iii.) whether the plots show any signs that linear regression may be inappropriate. A. IV Primary education ggplot(df, aes(primeduc, lifeexp)) + geom_point() + geom_smooth(method = 'lm') B. IV Urban population ggplot(df, aes(urbpop, lifeexp)) + geom_point() + geom_smooth(method = 'lm') C. IV Smoking ggplot(df, aes(smoke, lifeexp)) + geom_point() + geom_smooth(method = 'lm') D. IV population ggplot(df, aes(pop, lifeexp)) + geom_point() + geom_smooth(method = 'lm') Question 4 Suppose you have a theory that countries that grow cereal crops (grains, including rice, wheat, corn, oats) have better economies. Use the data on cerealcrops and gdp to make a scatter plot of the relationship. The code below will also include a regression line through the points and will label the name of the country that corresponds to each point. ggplot(df, aes(cerealcrops, gdp, label = country)) + geom_point() + geom_smooth(method = 'lm') + geom_text(vjust = -1, hjust = 0.5) A. Do any of the points look like outliers? Why or why not? B. If any points look like outliers, are the residuals positive or negative in each case? What would a positive or negative residual mean? Question 5 A. Show the correlation between smoking and infant mortality. Comment on the sign and strength of the relationship. cor(df$smoke, df$infmort) B. Generate a scatter plot of the relationship - does it match the correlation? Describe what you see in the plot, does it match what you would have assumed? ggplot(df, aes(smoke, infmort)) + geom_point() C. Suppose we want to run a regression. What are the advantages of running a regression versus correlation? D. Now let’s run the regression. What do the results tell you? If 10 percent more persons aged over 15 began smoking, what would happen to infant mortality? m = lm(infmort ~ smoke, data = df) summary(m) E. Applying the regression mistakes discussed in lecture and the Wheelen reading, what may be explaining the relationship? Discuss at least 2 that may and one that does not not apply. F. Now, let’s generate a plot highlighting points by country. What does this show? What concept from lecture does this remind you of? ggplot(df, aes(smoke, infmort, color = continent)) + geom_point(size = 1.5) G. Run the following regression including what continent the country is from as a control variable. Comment on the sign, strength, statistical, and practical significance of the estimated relationship between smoking and infant mortality when adjusting estimates for what continent the country is in. Does this change the answer? Use what you see from the plot in part F to to explain what you found. m = lm(infmort ~ smoke + continent, data = df) summary(m) Part 2 You don’t need to use R for this part! Suppose you have collected data on 25 countries (called “case1” “case2” etc.). These counties are displayed in Table 1. For each country, you have data on per capita income, the percent of the population who are high school graduates, and the percent of the eligible adult population that turned out to vote in the last national election. You also have information about how tough it is for voters to register in each country — an ordinal scale ranging from very low (easy to register) to very high (hard to register). (Assume this is a reliable and valid measure based on whether there is same day voter registration, poll taxes, accessible polling places etc.). Summary statistics for each variable are also provided below. HS Grad Summary ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 31.00 42.00 59.00 57.24 70.00 86.00 Income Summary ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 5626 15189 20740 25192 32047 49754 Turnout Summary ## Min. 1st Qu. Median Mean 3rd Qu. Max. ## 44.00 60.00 68.00 69.96 83.00 90.00 Regisration Requirement Summary ## ## high low medium very high very low ## 5 6 12 1 1 Table 1: Candidate Cases Case Percap_I HSgrad RegReq Turnout case1 15189 60 high 44 case2 44090 31 medium 68 case3 29709 79 low 85 case4 15697 63 low 74 case5 14224 32 high 51 case6 29713 50 medium 64 case7 17636 64 medium 57 case8 32047 35 medium 65 case9 38800 70 high 52 case10 31003 74 low 83 case11 19584 42 medium 58 case12 13875 49 high 87 case13 20740 86 medium 90 case14 45726 76 very low 90 case15 18718 47 medium 69 case16 24416 59 medium 73 case17 43115 78 medium 77 case18 7922 53 low 66 case19 42669 69 medium 90 case20 14047 54 very high 56 case21 49754 84 medium 84 case22 27160 40 high 63 case23 15889 70 low 63 case24 5626 32 low 80 case25 12455 34 medium 60 Assume we have elected to conduct case studies to test our hypothesis, and that the 25 counties we have here are the population of counties within a given state. A. Say we want to test a hypothesis: higher levels of income and education lead to greater voter turnout. What other functions could case studies serve besides testing a hypothesis? B. If you want to choose a “deviant’ ’ case, assuming our hypothesis is that higher levels of income and education lead to greater voter turnout. What may you choose and why? C. Name a case selection (you only need to provide 1 county) that may be seen as “cherry picking’ ’ to support the income and education hypothesis discussed thus far - why would cherry picking be concerning? D. Several scholars have argued that less restrictive (low to medium) voter registration is a necessary condition for high voter turnout. Are there any cases in your data set that would provide evidence against this argument? E. Suppose we want to examine the effect of only education on turnout. Pick a set of 3 cases that would be a good choice for causal inference. What kind of a sampling strategy would this be? F. Name three cases that would be bad to choose due to selection on the dependent variable. Why would this be a problem? G.Your friend wants to test the theory that income predicts turnout. They run a regression of turnout on income and produces the following plot. They say Case 17 is the clear choice to test the hypothesis, and should be the only one that is sampled. What would we call this sampling approach, and what are the drawbabcks if our goal is hypothesis testing? When may we want to use the sampling approach that they proposed?
Assignment 2: Microsoft Word (10%) Word Long Document and Thesis Formatting This task is to test and allow you to show your competency in applying all the skills regarding long report and thesis formatting using MS Word Tools & Mendeley SW. This skill is important when you want to write and format your thesis at degree, master, or PhD level. 1) Find a journal article with Min 8 pages: (5 Mark) a) Have min 3 tables. b) Have min 3 figures. c) Then do the following formatting and task. 2) Basic formatting: (5 Mark) a) Alignment justify. b) Font Times news roman 12 c) Line spacing 1.5. 3) Make a Cover Page: (5 Mark) a) Put your picture. b) Your name and matric number. c) Article title. d) Other related content for front page. 4) Make a Table of Contents. (One page) (5 Mark) a) Main Headings (min 5 main heading) b) Sub-headings (2@3 subheading for level 2 & level 3 for each heading) c) After finish everything, Updating Table of Contents to show the latest update. 5) List of Tables. (5 Mark) a) Formatting all the tables (font size 11, single spacing, Title above the table, used table design tools) b) After finish everything, Updating List of Tables. 6) List of Figures (5 Mark) a) Resize the figures (chart, picture, model, diagram etc. Title below the figure) b) After finish everything, Updating List of Figures 7) Different Header (according to main heading title on page and Footer with your name & matric number and page number). (5 Mark) 8) Citation and Reference (show 5 references using Chicago Style) (5 Mark)
HSM3002 Health and Social Services for Special Populations Individual Assignment Requirements Individual Report Requirements • Submit a 1500-word report (10% leeway; excluding reference section and appendix) in the context of health and social care. The report should be based on either (1) field observations from a field visit, focusing on the agency's service delivery and its impacts on a specific group, or (2) a case study from literature review and analysis, concentrating on the experiences and needs of a specific group. • Whether it's based on field observations or a literature-based case study, the report should: • Demonstrate understanding of course concepts by applying them to real-world situations • Incorporate relevant literature from lectures and tutorials, as well as other appropriate sources, to support the analysis • Be critical thinking and clear argumentation, well-structured and conclude with practical implications or recommendations derived from the analysis. • The citation is required to use the APA style, and type in single spaced and at least 12-point font size. Tips for Writing Individual Report Structure and Analysis ▪Define the specific group and analyze their care and service needs ▪Evaluate current service delivery models and their impact; Identify service gaps or constraints Critical Discussion ▪Assess service provisions (content, target appropriateness, delivery modes, cost-effectiveness, accessibility) ▪Evaluate the effectiveness of services for the specific group; Discuss broader implications for health and social care practice Evidence-Based Recommendations ▪Propose improvements at both service and policy levels where appropriate ▪Support recommendations with evidence from observations or literature Academic Writing and Evidence Integration ▪Use clear, concise academic language ▪Incorporate relevant concepts from course materials; Integrate literature and credible sources to support arguments ▪Ensure proper citation and adhere to the word limit Individual Report Requirements • Please state clearly the following on the first page of the report: course code, name and student ID, date of submission and word count. You should submit the report in WORD document to the course website using Turnitin by 5pm December 10, 2025. ❑ AI Assistance: AI tools can be used to support your project, but any AI involvement must be clearly detailed in your submission. Failure to disclose AI usage will result in a significant mark reduction as per university policy. ❑ Academic Integrity: All written work must adhere to academic writing standards and use APA citation style. Thoroughly proofread all submitted documents. ❑ Late Submissions: Late submissions will be penalized with a 10% mark deduction for each day late. Preparing for Field Visits and Report Writing Pre-Visit Preparation ❑Research the organization's background and services; Prepare relevant questions for staff and clients During the Visit ❑Observe and document key practices and interactions; Engage with staff and clients, asking prepared questions; Note any unique or unexpected aspects of the agency's operations Post-Visit Analysis ❑Review and organize collected information; Reflect on observations in relation to course concepts; Compare actual practices with theoretical knowledge Report Writing ❑Describe the agency and its services; Present key observations and insights; Analyze findings and their implications for practice; Conclude with personal reflections and recommendations
ELEC0086 CSM Lab Scripts by Kai-Kit Wong (version 2025-2026) MSc Module: Communications Systems Modelling Lab Session 1 – Simulating OFDM Communications Systems in Frequency Selective Fading Channels This lab sheet has to be read in conjunction with the lecture notes on OFDM! 1.1 Simulation of L-Ray Equal-Power Rayleigh Fading Channels 1.1.1 Generate a Poisson random variable L to decide the number of rays of the channel. 1.1.2 Generate L complex fading coefficients, each has a Rayleigh distributed amplitude and a uniformly distributed phase (α1, α2, α3, … αL) 1.1.3 Using uniform random variables from 0 to 2 to model the time delays for the rays. Generate L delays (τ1, τ2, τ3, … τL) 1.1.4 Plot the channel impulse response (hint: use “stem” instead of “plot”). Make sure the average power of the channel is the same (e.g., unity) regardless of the number of rays in the channel. This means that we want E[|α1 | 2]+ E[|α2 | 2]+ ··· + E[|αL | 2] = 1 If the average power of each ray is assumed to be the same, then you can set E[|αi |2]=1/L to achieve this. 1.1.5 Repeat the above to generate a number of independent realisations of the channel impulse response. 1.2 Simulation of QPSK symbols 1.2.1 Generate a sequence of N independent QPSK symbols (s) 1.3 Simulation of the Input-Output Relationship 1.3.1 Assuming f is a rectangular function, obtain gm,n 1.3.2 Generate a sequence of N independent noise samples (mean 0, variance σ2) (n) 1.3.3 Generate the sequence of ym 1.3.4 Write a MATLAB code that obtains the symbol error rate (SER) for the system. Note that in order to perform. detection, one must first remove the perturbation of the channel carrying the message. Therefore, we should perform. detection based on the following signal Also, it is important to note that SER results should be averaged over the randomness of the channel h 1.3.5 Plot the SER results against 10log10(1/σ2). You can try to change some parameters to see how the results are affected, e.g., the number of rays, the delay spread, the pulse shape, etc. 1.4 Simulation of the OFDM System 1.4.1 Obtain the circulant channel matrix 1.4.2 Generate the IFFT of s 1.4.3 Obtain the sequence of y (y = G*IFFT(s) + n) 1.4.4 Obtain the FFT of y 1.4.5 Write a MATLAB code that obtains the SER for the system assuming the channels are known 1.4.6 Plot the SER results against 10log10(1/σ2) Bonus Tasks Channel Estimation and Error Correction Coding B1 Repeat the simulations of 1.4 but assuming that the channels need to be estimated. Hint: channels h can be estimated by first sending known symbols (called pilots) and then the estimated channels can be used for the detection of unknown symbols. B2 Repeat the simulations of 1.4 with 1.5.1 and add repetition coding with rate 1/3. Note that your SER results show steeper decline if coding is used. Also, use the simulation results to estimate the diversity order of the system. B3 In OFDM systems, the SER will be dominated by the worst subcarriers. To improve the SER of the system, it is possible to disable the worst subcarriers but transmit at higher rates for those good subcarriers. Design a system to take advantage of this observation and study its performance using simulations. Lab report Submission 1. A lab report needs to be submitted online on Moodle on or before 4PM 20th JAN 2026 (TUESDAY) 2. The lab report will be marked and the marks will contribute 50% of your overall marks for CSM 3. In the lab report, you will need to include the following (but not limited to): • An introduction section that describes the lab (only LAB SESSION 1) • A discussion section that discusses the assumptions of the simulations specific to the lab, and the results obtained from the simulations • Some extra simulations that are related but not done in the lab • A conclusion section • Include your MATLAB code as appendices
Fall 2025 EML6324 Fundamentals of Production Engineering HW-6 (Due November 21, 2026) Q1. Answer Yes or No to the following questions about a cutting operation performed on a steel rod. (a) If the depth of cut is increased, does the cutting force increase? (b) If the rake angle is decreased, does the shear cutting force decrease? Q2. Describe three major roles of cutting fluids in cutting operation. Q3. In the orthogonal cutting operation shown in Figure 8.8 in the textbook, let the tool rake angle α be 0°, the chip width b be 5 mm, the shear-plane angle φ be 28°, and the cutting speed v be 3 m/s. The chip thickness before the cut is 0.25 mm, the force F is 2200 N, and the angle β is 20°. Calculate (a) the chip thickness h2 [mm] after the cut, (b) the shearing velocity vs [m/s], (c) the chip velocity vc [m/s], (d) the shearing force Fs [N], (e) the shearing power Ps [W], (f) the friction force Ff [N], and (g) the friction power Pf [W]. Q4. Explain why the maximum temperature in cutting is located approximately at the middle of the tool- chip interface? (Hint: Note that there are two principal sources of heat: the shear plane and the tool-chip interface.) Q5. Describe three basic requirements of cutting tool materials. Q6. Explain the purposes ofchamfers on cutting tools. Q7. Why does temperature have such an important effect on cutting-tool performance? Give at least two reasons. Q8. Is diamond or cubic boron nitride more suitable for machining steels? Explain why. Q9. Why should complex grades be used instead of straight grades of cutting tools to cut steels? Q10. What are the consequences of a cutting tool coating that has a different coefficient of thermal expansion than the substrate? Explain. Q11. Which of the following processes are used to provide the thin coatings on the surface of coated carbide inserts (two best answers): (a) chemical vapor deposition, (b) electroplating, (c) physical vapor deposition, (d) pressing and sintering, and (e) spray painting? Q12. Which one of the following materials has the highest hardness: (a) aluminum oxide, (b) cubic boron nitride, (c) high speed steel, (d) titanium carbide, or (e) tungsten carbide? Q13. Why are ceramic cutting tools generally designed with negative rake angles? Q14. Ceramic cutting tools have certain advantages over carbide tools. Why, then, are carbide tools not replaced to a greater extent?
Fall 2025 EML6324 Fundamentals of Production Engineering HW-5 (Due November 12, 2025) Q1. A roughing operation generally involves which one of the following combinations of cutting conditions: (a) high R, f, and d; (b) high R, low f and d; (c) low R, high f and d; or (d) low R, f, and d, where R = nose radius, f = feed, and d = depth of cut? Explain why. Q2. A 150 mm long normalized 1045 steel shaft is turned down from a diameter of 100 mm to 90 mm in a single pass. The side cutting edge angle σ is 0°, the cutting speed v is 135 m/min, and the feed per revolution fr is 0.22 mm. Determine (a) the chip area A [mm2 ], (b) the material removal rate Q [cm3 /min], (c) the tangential component of the cutting force Ft [kN], (d) the power needed to drive the turning operation P [kW], and (e) the machining time t [min]. Q3. A lathe is used to machine a taper of 1 mm per 10 mm on bar stock 120 mm in diameter. (The chucked end is larger than the other end.) A cut is made with an initial depth of cut of 4 mm at a feed rate of 0.2 mm/rev and a spindle speed of 150 rpm. Calculate the average material removal rate [mm3 /min]. Q4. As the depth of the hole increases in drilling, rotational speeds and feeds should be reduced. Explain why. Q5. A 14 mm diameter hole needs to be drilled in a normalized 1035 steel workpiece using a twist drill with a feed per revolution of 0.3 mm and a maximum cutting speed of 30 m/min. Calculate (1) the maximum spindle speed [rpm], (2) the drill feed rate [m/min], (3) the material removal rate, [cm3 /min] (4) the tangential cutting force [N], and (5) the torque [N·m] and power [kW] required for the operation. Q6. Reaming is used for which of the following functions? (three correct answers) (a) to accurately locate a hole position (b) to enlarge a drilled hole (c) to improve surface finish on a hole (d) to improve tolerance on hole diameter (e) to make an internal thread Q7. Describe the difference between up milling and down milling? Q8. Down milling has been found to have a lower tendency to chatter than up milling. Explain why. Q9. A milling operation is being performed similar to the one shown in Fig. 7.30 in the textbook. The feed per tooth c is 0.2 mm, side cutting edge angle σ is 30°, and start and end angles ϕs and ϕe are 30° and 160°, respectively. (a) Determine the mean chip thickness hm [mm]. (b) Draw a graph of h vs. ϕ, and indicate the variation of h on one tooth over two revolutions of the cutter. Q10. A four-fluted end mill 40 mm in diameter is used to perform. an up-milling operation as shown in Fig. 7.29a in the textbook (ϕs is 0°); the workpiece is normalized 1035 steel. The axial depth of cut aa is 20 mm, the radial depth of cut ar is 25 mm, and the side cutting edge angle σ is 0°. The cutting velocity v is 45 m/min, and the feed per tooth c is 0.25 mm. Calculate (a) spindle speed n [rpm], (b) feed rate f [mm/min], (c) mean material removal rate Qm [cm3 /min], (d) mean chip thickness hm [mm], and (e) mean power P [kW].
EEC 224 — Terahertz and mm-Wave Integrated Circuit Design Fall 2025 Project#1 Due at 11:59pm on Friday Nov 21 mm-Wave Amplifier Design Design an amplifier with the following specifications in a 45nm NCSU process: • Center frequency 200GHz, • 3dB bandwidth > 10GHz, • Power gain at 200 GHz (|S21 |) > 8dB • NF < 9dB over the 10GHz bandwidth, • Supply voltage = 1V, • Maximum power consumption = 3mW, • Due to self resonance all inductors should be less than 250pH and have a quality factor of 20 at 200GHz (Assume a simple series RL model), • Due to self resonance all capacitors should be less than 50fF and have a quality factor of 30 at 200GHz (Assume a simple series RC model), • |S11 | and |S22 | < −10dB at 200GHz, • Reverse isolation should be better than 20dB at 200 GHz(|S12 | < −20dB), • The amplifier should be unconditionally stable up to 250 GHz. • Simulate the 1-dB compression point of the final design at 200 GHz. • The source and load impedances are 50 Ω . • To have more realistic models add three 10-Ω resistors in series with the drain, source and gate of all the transistors. • Do not use any finger or multiplier in the transistor setting. They cannot be modeled accurately. • You can use ideal voltage sources (No ideal current source) to bias the circuit. No DC current should flow to the source and load impedances. • Design with better gain and get extra credit (all the other specs should be satisfied). Design report The design report is an essential part of this homework. It should contain your initial literature search, design strategy and a summary of circuit performance. It should emphasize the most important features of your design. Provide analysis of your circuit including the fundamental limits of the transistors (fmax, Gmax, U, …), compare them with final amplifier simulation results, and discuss any potential discrepancies. Mention the possible shortcoming of your circuit and suggest methods to improve them. Include meaningful cadence output graphs to show that you have met all the design criteria. Your graphs should be clearly labeled and state what they are representing. If your design is benefiting from a prior work, make sure to reference it. Provide an estimate for the total size of your chip. Your final report should have a cover sheet that includes your name. The second page of your report should show the achieved performance in a table and the third page should show a clear schematic of your circuit with the DC biasing and all the component values including the transistor sizes.
INT303 Big Data Analysis - Coding Project 2: Loan Approval Prediction Weightage: 100 points(30%of total course grade) Due Date:12 DEC Submission: Submit your Jupyter Notebook(.ipynb) and a concise 1-2 page executive summary report via [Learning Mall/Submission Portal]. 1.Introduction In the world of finance,accurate and efficient loan approval decisions are paramount.Banks and financial institutions rely on robust data analysis and predictive models to assess applicant creditworthiness,mitigate risks,and optimize their lending portfolios.This project challenges you to step into the role of a Data Scientist at a burgeoning financial technology(FinTech)firm.Your task is to develop a machine learning model that predicts whether a loan application will be approved or rejected based on a comprehensive set of applicant data. This project aims to solidify your understanding of the entire machine learning pipeline,from exploratory data analysis and preprocessing to model building, evaluation,and interpretation.You will be provided with a dataset containing various applicant attributes and their corresponding loan approval status. 2.Project Objectives Upon completion of this project,you should be able to: Perform comprehensive Exploratory Data Analysis(EDA)to understand data distributions,identify potential issues,and derive insights. Implement effective data preprocessing techniques,including handling missing values,encoding categorical features,and scaling numerical features. Engineer new,meaningful features from existing ones to enhance model performance. Select and implement appropriate machine learning models for classification tasks. · Evaluate model performance using various metrics and techniques. · Interpret model results and explain the factors influencing loan approval decisions. Present your findings clearly and professionally in a technical report. Demonstrate proficiency in Python programming for data analysis and machine learning. 3.Dataset You will be working with a dataset named loan_approval_dataset_copy.csv(a sample of the "architsharma01/loan-approval-prediction-dataset").This dataset contains the following columns: loan_id:Unique identifier for each loan application. · no_of_dependents:Number of dependents the applicant has. · education:Applicant's education level(Graduate/Not Graduate). · self_employed:Whether the applicant is self-employed (Yes/No). · income_annum:Applicant's annual income. loan_amount:The requested loan amount. loan_term:The duration of the loan in years. · cibil_score:Applicant's CIBIL credit score(a creditworthiness indicator). · residential_assets_value:Value of residential assets. commercial_assets_value:Value of commercial assets. luxury_assets_value:Value of luxury assets. · bank_asset_value:Value of bank assets. loan_status:The target variable,indicating whether the loan was 'Approved' or 'Rejected'. Note: The provided CSV is a small sample.Assume you are working with a larger, more realistic version of this dataset where you may encounter missing values, outliers,and varying data distributions.Your solution should be scalable and robust enough to handle such real-world scenarios. 4.Project Tasks Your submission should include a well-commented Jupyter Notebook and a separate executive summary report(PDF)summarizing your approach,findings, and recommendations. Task 1:Exploratory Data Analysis(EDA)and Data Preprocessing(30 points) 1. Load and Initial Inspection: Load the dataset into a Pandas DataFrame. Display the first few rows,check data types,and identify missing values. Summarize key statistics. 2. Univariate Analysis: Analyze the distribution of each feature.For numerical features,create histograms and box plots.For categorical features,create bar plots.Describe your observations. 3. Bivariate Analysis: Explore the relationships between features,particularly their relationship with the loan_status target variable. Use appropriate visualizations(e.g.,scatter plots,stacked bar plots,heatmaps). 4. Data Cleaning: Handle any identified missing values,outliers(if present),or inconsistencies.Justify your chosen methods. 5. Feature Engineering: Create at least two new,meaningful features that you believe could improve model performance.Explain your rationale. 6. Categorical Encoding: Convert all categorical features into numerical representations suitable for machine learning models (e.g.,One-Hot Encoding, Label Encoding). Feature Scaling: Apply appropriate scaling techniques(e.g.,StandardScaler, MinMaxScaler)to numerical features. Task 2:Model Development and Evaluation(40 points) Data Splitting: Split your processed data into training and testing sets(e.g., 70%training,30%testing). Model Selection: Choose at least three different classification algorithms. Good candidates might include: ■ Logistic Regression Decision Tree Classifier Random Forest Classifier Gradient Boosting Classifier(e.g.,XGBoost,LightGBM) Support Vector Machine(SVM) K-Nearest Neighbors(KNN) Model Training: Train your chosen models on the training data. Hyperparameter Tuning: Implement a strategy to tune hyperparameters for each selected model (e.g.,GridSearchCV,RandomizedSearchCV).Explain why hyperparameter tuning is important. Model Evaluation: Evaluate the performance of each tuned model on the test set using various metrics.At a minimum,include: Accuracy Precision,Recall,F1-score (for both 'Approved'and 'Rejected'classes) ROC AUC Score Confusion Matrix Provide a comparative analysis of the models based on these metrics, considering the business context(e.g.,what kind of errors are more costly for a bank?). 6. Feature Importance (if applicable): For tree-based models,analyze and visualize feature importance.Discuss which features your model deems most crucial for loan approval prediction. Task 3:Executive Summary Report(20 points) Write a 1-2 page executive summary report (in PDF format)that addresses the following: 1. Introduction: Briefly state the problem and the objective of your project. 2. Methodology: Summarize your data preprocessing steps,feature engineering choices,and the models you experimented with. 3. Key Findings: Present the performance of your best models using relevant metrics.Discuss the most important features. 4. Recommendations &Insights: Based on your analysis,what insights can you provide to the FinTech firm regarding loan approval?Which model would you recommend and why?Suggest potential improvements or next steps for future work. 5. Ethical Considerations(Bonus,5 points):Briefly discuss any ethical considerations related to building and deploying such a loan approval model(e.g., bias,fairness,transparency). Task 4:Code Quality and Documentation (10 points) 1. Code Readability: Your Jupyter Notebook should be well-structured,logical, and easy to follow. 2. Comments: Include appropriate comments to explain complex logic,choices, and reasoning. 3. Reproducibility: Ensure your notebook can be run from top to bottom without errors and produces consistent results.
Chapter 10 Worker Mobility: Turnover, Migration, and Immigration PROBLEMS The Determinants of Worker Mobility 1. Consider a family where both the husband and wife work, and assume each spouse has three more years to work (after the current year) before retirement. Table 10-1 indicates the projected combined salary over the remaining work years if they each stay with their current employers. It also shows the combined salary they can expect if they relocate and change employers. Table 10-1. Year Combined Salary at Current Jobs Combined Salary at New Jobs 1 $80,000 $83,000 2 $82,000 $87,000 3 $85,000 $92,000 Suppose the total cost of moving, including direct expenses, foregone earnings, and psychic costs, totals $10,000. Assume all costs are incurred during the current year (year 0). 1a. If the discount rate is equal to the market interest rate of 6 percent, is this investment in mobility worthwhile? 1b. What are the maximum mobility costs that could be and still make this investment worthwhile? 1c. How reasonable is it to assume that the psychic costs of mobility all occur in the current year (year 0)? 1d. Is it reasonable to expect that there will also be psychic benefits associated with moving? If so, give some examples of such benefits. 1e. When a person moves without a new job already in hand, evidence suggests that the mobility may initially result in lower earnings compared to their current job. This reduction is then more than overcome in future periods by faster earnings growth in the new location. Holding all else constant, what is the lowest the new combined salary could be in year 1 and still have this be a worthwhile investment? 1f. Is it reasonable to expect that both spouses will gain equally because of the move? The Gain to Society from Mobility 2. Mobility investments may lead not only to individual gains, but also to gains for society as a whole. To see why this is true, consider the information in Table 10-2. It shows the relationship between employment and output in two different labor markets. Table 10-2. Labor Market A Labor Market B 2a. Compute the marginal product of labor for each unit of labor in market A. 2b. Graph the marginal product of labor schedule for market A. 2c. For an employment level of 5, show that the area under the marginal product schedule equals the total output associated with that output level. 2d. Compute the marginal product of labor for each unit of labor in market B. 2e. Suppose that there are 6 workers in this economy and that currently 3 work in market A and 3 work in market B. If each worker is paid in real terms, what will be the marginal product associated with the last worker hired, and what will the wage rates be in each market? How much combined total output will be produced by the two markets? 2f. Assuming all other job characteristics are the same in both markets, where will workers tend to migrate? What happens to total output if one worker migrates from market A to market B? What would happen to total output if more than one worker migrated from A to B? Would there be an incentive for more than one worker to migrate? The Consequences of Immigration 3. Consider a labor market where the demand for a particular category of labor is given by the equation LD = 20 - 2W. Suppose that the supply curve of workers in this market who are also native-born citizens is given by LN = 2W, while the supply curve of immigrants in this market is given by L1 = W, where L represents the number of workers, W is the wage expressed in real terms, and the subscripts D, N, and I are used to distinguish between the quantity of labor demanded and the quantity of labor supplied by native-born and immigrant workers. 3a. Find the market-clearing wage and employment level, assuming immigration is not allowed. Then find the market-clearing wage and employment level after allowing for immigration. How many native jobs are lost to immigrants? 3b. Compute the real income of native-born workers in this market before and after immigration. How much is the income flow reduced? 3c. Ignoring the cost of capital, compute the total profits ofthe firms before and after immigration. What is the change in total profits? 3d. Compute the total output of this market before and after immigration. How much total output does society gain because of immigration? 3e. Taken as a whole, how much would immigrants be willing to pay in real terms for the right to work in this country (i.e., how much do immigrants earn in economic rent)? 3f. If immigration leads to a large enough increase in output, it is possible that native workers can be kept at least as well off as before immigration without hurting immigrants or the firms. Give an example of a transfer payment scheme that would accomplish this. 3g. What other effects do immigrants have on labor markets that are not captured in this model? APPLICATIONS Migration After a Job Loss 4. Consider a worker currently making $60,000 in a defense industry plant in the New England area. Suppose the plant is closed because of government spending cutbacks and the worker loses his job. After a prolonged search, the worker decides to change occupations and move to North Carolina. His new job only pays $50,000. Has not migration made this worker worse off? Do such examples contradict the prediction of the human capital investment model that says people invest in mobility only when the present value of the benefits is at least as large as the present value of the costs? The Causes of Higher Quit Rates for Women 5. According to the text, “It is well established that female workers have had higher propensities toward quitting than male workers.” Empirical evidence also suggests that women's job tenure tends to be significantly lower than that of men, a finding consistent with the notion that women have higher quit rates. The higher quit rates and shorter tenure are, in turn, attributed to the lower levels of firm-specific training that women obtain, a subject discussed in Chapter 5. 5a. Using the lessons of Chapter 5, review why women are less likely to be offered firm-specific training. 5b. Review why higher quit rates are expected when a worker does not receive firm-specific training. Would eliminating general training also lead to higher quit rates? The Effects of Reducing Immigration When a Minimum Wage Applies 6. Consider a labor market where the demand for a particular category of labor is given by the equation LD = 20 - 2W. Suppose that the supply curve of workers in this market who are also native-born citizens is given by LN = 2W, while the supply curve of immigrants (including illegal immigrants) in this market is given by LI = W. (This is the same information given in problem 24 earlier in the chapter.) Suppose the government imposes a minimum wage (in real terms) of 6 that applies to all workers. 6a. Is the minimum wage binding? What would the market-clearing wage be in the absence of the minimum wage (assuming there are no restrictions on immigration)? 6b. What is the quantity of workers demanded at the minimum wage? 6c. What is the total quantity of workers supplied at the minimum wage? How many are native- born workers? How many are immigrants? 6d. How many native workers will actually be employed? How many immigrants will be employed? 6e. The 1986 Immigration Reform and Control Act (sometimes called the Simpson-Rodino Act) made it illegal for firms to hire illegal immigrants. Employers are required to verify whether new employees are legal residents. Any firm consistently caught hiring illegal residents could face fines of up to $10,000. Suppose the law, by reducing the expected benefits of migration, has the desired effect of reducing the number of illegal immigrants in this market. In the context of this example, how many native workers will be hired for every immigrant that is not? Would your answer be the same if the minimum wage were not binding? (Based on the discussion in Chapter 5, how would the firm’s cost of complying with the immigration law be classified?) 6f. Another provision of the 1986 Immigration and Control Act was that illegal immigrants who had lived continuously in the United States since 1982 could apply for amnesty and legal resident status. After 5 additional years of continuous residence, these immigrants could then apply to be U.S. citizens. Based on the human capital investment framework, what effect would such a program have on the flow of illegal immigrants? 6g. According to The Wall Street Journal (September 1, 1992, p. A1), in California alone, approximately 1.5 million illegal immigrants took advantage of the amnesty program, and the first wave of applicants were eligible for citizenship on November 6, 1993. Citizenship also makes the former immigrants eligible for welfare assistance. What effect does the expansion of welfare eligibility have on the likelihood that the aggregate income (the sum of earnings, profits, and net government subsidies) of the native-born population will fall?
MEC106 Engineering Drawing Course Work To be Released on Friday, 14th November, 2025 Due on Sunday, 14th December, 2025, 23:59 Assignment Regulations l This is an individual course work. Each student MUST submit one soft copy (pdf format) of the requirement documentation via Learning Mall by the due date. l A University assignment cover sheet (provided on Learning Mall) must be used as the front page of your assignment, and make sure that your name, student ID and email are clearly written on the cover sheet. l You may refer to reference textbooks and lecture notes to answer problems, however, the assignment should be your own work. l Where you do make use of other references, please cite them in your work. Students are reminded to refer and adhere to plagiarism policy and regulations set by XJTLU. l Students may make non-substantive use of AI, which is limited to tasks such as grammatical corrections, formatting adjustments, or generic suggestions l Submissions maybe accepted up to 5 working days after the deadline has passed; a late penalty of 5% will be applied for each working day late without an extension being granted. Submissions over 5 working days late will not be marked. Emailed submissions will NOT be accepted without exceptional circumstances. Assessment Weighting This assessment counts for 100% of the final mark of the module. Aims This project aims to test the students’ skill and ability to understand engineering drawing standards, read and generate engineering drawings of components and assemblies via computer-aided tools. Engineering drawings are a basic means to view, communicate and document engineering designs, a common language for engineers and professionals. 3D modelling of an engineering solid via CAD software is the basis of engineering design. It can be originated from imagination, hand sketches or a formal drawing. Engineering drawing is a combination of graphic communication and word language containing four basic elements including orthographic views (sections), dimensioning (tolerance), title block and general notes. Engineering standards include proper line usage, sheet and scale selection, and formal letter style. If the object is correctly positioned relative to the projection planes, the dimensions of features will be represented in true size or in a selected scale in one or more of the views. Part detail drawings provide the most accurate description of 3D objects and structures for engineering, manufacturing and construction requirements. Last but not least, assembly drawings are used to both describe how parts are put together and explain the function of the entire unit. In order to generate a proper assembly drawing, special attention should be given to general dimensions and fit tolerance, in addition to the elements required by engineering drawing. There should also include a table to contain all required components and their quantity. Learning Outcomes On completion of this assignment, you should be able to: 1. demonstrate a clear understanding of the standards in engineering drawing; 2. apply orthographic projection to view and analyze engineering solids; 3. propose the isometric representation of engineering components; 4. apply spatial-visual thought, spatial imagination, exploration and innovation. Design Examples The risk to lose full or partial points or marks would be affected, if students do not follow the instructions and the given grading information. In an engineering drawing, four elements are essential to depict all the details including views, dimensions, title block and general notes. The views are generated through projection of 3D model to imaginary planes. Orthographic view (and side views if applicable) are used to depict all details of the 3D model. Dimensions including all the sizes and shape, tolerance and necessary Geometric dimensioning and tolerancing should be given upon the views according to engineering standards. Necessary information should be included in the title block and general notes. Part drawings (also known as component drawings or detail drawings) provide detailed information about the individual units. Assembly drawings are a type of technical drawing used to represent items that consist of more than one component. They show how those components fit together. Examples of part drawing and assembly drawing are given as follows in Figure 1 and Figure 2, respectively. Figure 2 All elements should be included in generating an engineering drawing and each element should accord with standards. Design Questions The questions contain three sections. You need to provide answers to all three questions. Section A (30%) Figure 3 shows an engineering drawing of a bearing seat. Please create the 3D model of this component using a CAD software. Display 5 pictures visualized from different angles of the 3D model. Please also specify useful information and details displayed in Figure 3 which are essential for manufacturing the component but cannot be visualized from the 3D model by texts. Figure 3 Figure 4 displays the isometric view of a 3D model of a gear shaft. The 3D model is given on Learning Mall Core Page. Please generate a detail part drawing of the component with proper graphic and text description. Hint: Please mind the tolerance where the gear fits with other parts. Figure 4 Section C (40%) Figure 5 displays the isometric view of a 3D model ofa hydraulic pump. The 3D model is given on Learning Mall Core Page. Please generate an assembly drawing of the assembly with proper graphic and word description. Please use proper views, dimensioning, title block and general notes that accord with engineering standards. Don’t forget about the table of components. Figure 5 Deliverable A formal file (pdf format) should be generated to accompany the design submitted to Learning Mall. Please only include your solution to the questions in your report. In Section A, please answer with pictures and word languages. Present 5 images and use single column, 1.25x line-space, 2.54cm for page edges for the text description. The font should be Times New Roman and font size for content should be 11pt. In Section B, only one part detail drawing should be submitted. Please choose suitable sheet size and keep the original size of your drawing. In Section C, only one assembly drawing should be submitted. Please choose suitable sheet size and keep the original size of your drawing. Please bind the above files into a single file named with “MEC106 your name” . Please make sure you use the University assignment cover sheet (provided over Learning Mall) as the first page and make sure that your name, student ID and email are clearly written on the first page. Grading Information: Please scan, or photo your completed design and put/integrate them with the report in one pdf file (clearly presented). Please choose the size of the drawing sheet and keep the size of the sheet in your report. 1. Section A (30%) 1) Design Layout (20%): Please present 3D view of the component. All details should be displayed thoroughly. 2) Engineering details for manufacturing (10%): Please use text to describe all details that cannot be visualized from the 3D model. 2. Section B (30%) 1) View (15%) Please use adequate views to present all the details of the object (selection from orthographic, auxiliary and section views). 2) Dimensioning (10%): Depict the component with full dimensions that accord with engineering standards. Use your engineering judgement to identify places that require tolerance and geometric dimensioning and tolerance. Make such annotations on the drawing according to engineering standards. 3) Title block and general notes (5%) Provide proper information in the title block and general notes. 3. Section C (40%) 1) View (20%) Please use adequate views to present all the details of the object (selection from orthographic, auxiliary and section views). 2) Dimensioning (10%): Depict the assembly with general dimensions that is needed to put all components together. Annotate all fitting tolerance. 3) Title block, general notes and table of components (10%). Provide proper information in the title block and general notes. List all components in the table of components (BOM).
Chapter 9: Investments in Human Capital: Education and Training PROBLEMS The Benefits and Costs of Educational Investments: The Present Value Method 1. Consider an individual who currently earns $20,000 as an unskilled laborer. Suppose that by taking courses full-time at a community college for one year, the person can qualify for a more skilled job paying $23,000 that is guaranteed to last for 10 years (after which the person would retire). Assume the cost of tuition and books at the community college for one year is $2,000 and that the current interest rate is 6 percent. Is this a good investment? The Benefits and Costs of an Educational Investment: The Internal Rate of Return Method 2. Consider a worker who is offered a salary bonus of $2,000 for each of the next two years if he or she enrolls in a job training program this year. The total cost to the worker, including any forgone earnings, is $3,500. 2a. What is the internal rate of return on this investment? 2b. Would this be a good investment for someone with a discount rate of 6%? 2c. What is the highest discount rate a person could have and still find this investment attractive? Is it possible for a person to have a higher discount rate than the market interest rate? 2d. Why are older workers less likely to seek out, or be offered, on-the-job training opportunities? How does this affect the shape of the typical age-earnings profile? The Relationship Between Expected Inflation and the Discounting of Future Benefits from Education 3. In evaluating educational investments in which costs are incurred in the current year (year 0), but benefits accrue over future years (years 1 through T), it is important that the future benefits be discounted. Dollars accessible today are more valuable since they can be consumed with certainty today or invested at a certain rate of interest. Therefore, dollars received in the future must first be discounted if they are to be fairly compared with current dollars. However, dollars received in the future may also be less valuable than dollars today if inflation occurs, which raises the general level of prices and reduces the purchasing power of future dollars. In Chapter 2, adjustments for inflation were discussed in the context of converting nominal wages to real wages. To adjust nominal values to real values, one simply divides the nominal dollar values by the price index and then multiplies the result by 100. The result is a measure that can be compared to dollar values in the base year of the price index. When inflation is anticipated, it is also important to note that anyone loaning (investing) money will typically require that a premium for expected inflation be built into the interest rate payable on the investment to assure a certain real rate of return after accounting for inflation. The nominal (market) interest rate is converted to the real interest rate by the formula: where i is the real interest rate, r is the market interest rate (expressed as a fraction), and p is the expected rate of inflation (also expressed as a fraction). When expected inflation is small, the above formula is often approximated by the simple formula i = r-p. Table 9-1 lists the costs and benefits associated with an educational investment. The price indices presented in the table reflect the expectation that, in each of the two years following the investment, inflation will be 4 percent. The market interest rate throughout the period is assumed to be constant at 6 percent per year. Table 9-1. 3a. Using the market interest rate as the discount rate, convert the nominal values of the costs and benefits to present values. Does the present value of the benefits exceed the present value of the costs? If so, by how much? 3b. Compute the real rate of interest expected in each year to five decimal places. 3c. Using the expected price indices, convert the nominal values of the costs and benefits to real values. 3d. Using the real interest rate as the discount rate, convert the real values of the costs and benefits to present values. Does the present value of the benefits exceed the present value of the costs? If so, by how much? 3e. Compare your answers to 3a and 3d. Is it necessary to convert all nominal values to real values to accurately assess the costs and benefits of educational investments? Measuring the Rate of Return to Educational Investments 4. According to studies cited in the text, estimates of the individual rate of return on educational investments range (in real terms) from 5 percent to 15 percent. 4a. If you knew that these studies suffered from selection bias, would you be more inclined to believe the upper or lower range of these estimates? 4b. What similarities do you see between the notions of selection bias and ability bias?
