The first line of IrisData.txt contains two integers. The first represents how many lines of data are in the file. The second how many features are associated with each line. Each line after that contains four floating point values representing the sepal length, sepal width, petal length, and petal width of a type of iris flower, followed by the name of the iris type: either setosa, versicolor, or virginica. Values are tab separated.Python Program Write a Python program that will print out a two-dimensional plot of any two features for all three varieties of iris flowers in the plot area of Spyder using the features of matplotlib.pyplot. Your program should begin by asking for the name of the input file. For example (blue is user response):Enter the name of your data file: Irisdata.txt Then the program should prompt the user for two features to plot. For example, it could say: You can do a plot of any two features of the Iris Data setThe feature codes are: 0 = sepal length 1 = sepal width 2 = petal length 3 = petal width Enter feature code for the horizontal axis: 0 Enter feature code for the vertical axis: 1Once the program does a plot it should ask the user if they want to another plot. For example: Would you like to do another plot? (y/n) yIf the answer is y, then the user should be prompted for new features to plot on the horizontal and vertical axes as before and a new plot generated. N should end the program.Plots should be labelled with a title, axes should be labelled, there should be a legend and all three varieties should be color coded and have different symbols. An example is shown below. Your Python program should be named yourlastname_yourfirstname_P0.py, then zipped and uploaded to Canvas.
For this assignment you will write several classes as a first step toward building a very simple Tower Defense game. Tower Defense games are strategy games where the goal is to defend the player’s territories by obstructing the advance of the enemies troops. Note that you do not need to be familiar with Tower Defense games in order to successfully complete the assignment. Make sure to follow the instructions below very closely. Note that in addition to the required methods, you are free to add as many other private methods as you want.You can also add public toString() methods in each class to help with the debugging process. No other additional non-private method is allowed. Unless otherwise specified, never make copies (neither shallow, nor deep) of any of the objects the methods return or receive as input.Let’s start by creating a skeleton for some of the classes you will need. • Write a class called Tile. You can think of a tile as a square on the board on which the game will be played. We will come back to this class later. For the moment you can leave it empty while you work on creating classes that represents characters in the game.• Write an abstract class Insect which has the following private fields: – A Tile representing the position of the insect in the game. – An int representing the health points (hp) of the insect. The class must also have the following public methods: – A constructor that takes as input a Tile indicating the position of the insect, an int indicating its hp. The constructor uses its inputs to initialize the corresponding fields. – A final getPosition() method to retrieve the position of this insect. – A final getHealth() method to retrieve the health points of this insect. – A setPosition() method that takes a Tile as input and updates the value stored in the appropriate field.• All of the following must be subclasses of the Insect class: – Write a class Hornet derived from the Insect class. The Hornet class has the following private field: ∗ An int indicating the attack damage of the hornet. The Hornet class has also the following public method: ∗ A constructor that takes as input a Tile which represents the position of the hornet, an int indicating its hp, and an int indicating its attack damage. The constructor uses the inputs to create a Hornet with the above characteristic.– Write an abstract class HoneyBee derived from the Insect class. The HoneyBee class has the following private field: ∗ An int indicating how much this bee costs in food. Whenever a player wants to place a bee in the game, they will need to have a certain amount of food available.Larvae need to eat to become strong bees! The HoneyBee class has also the following public methods: ∗ A constructor that takes as input a Tile representing the position of the bee, an int indicating its hp, an int indicating its cost in food respectively. The constructor uses the inputs to create a HoneyBee with the above characteristic.∗ A getCost() method which returns how much this bee costs in food. – Write a class BusyBee derived from the HoneyBee class. The BusyBee class is used to represent bees that collect pollen. This class has two public static fields: ∗ An int called BASE HEALTH indicating the base health of busy bees. ∗ An int called BASE COST indicating the their base food cost.This class has also the following public method: ∗ A constructor that takes as input a Tile which represents the position of the bee in the game. The constructor uses the input to create a bee with the given position, base health and base food cost.– Write a class AngryBee derived from the HoneyBee class. The AngryBee class is used to represent our private soldiers. These bees fly around stinging single enemies at melee range. The class has the following fields: ∗ A private int indicating the attack damage of the bee. ∗ A public static int called BASE HEALTH indicating the base health of angry bees. ∗ A public static int called BASE COST indicating the their base food cost.The AngryBee class has also the following public method: ∗ A constructor that takes as input a Tile representing the position of the bee, and an int indicating its attack damage. The constructor uses the inputs to create a bee given the position, the attack damage, base health, and base food cost.You can now leave these classes as they are, we will come back to them later. Let’s now focus on the two other classes: • Write a class SwarmOfHornets. This class represents a group of hornets together. Despite what the name ‘swarm’ might let you think, these hornets group together forming a very neat line.The purpose of this class is to implement your own queue (or list) of hornets. Note that you will not be tested on the eciency of your code, but we highly encourage you to think about how you can make your code more ecient when implementing a data structure that does not have a fixed size of elements and for which the most common operations are removing the first element of the queue and adding an element to the end of the queue. We want to stress once again that you are not allowed to import any class for this assignment!The class SwarmOfHornets must have the following private fields: – An array of Hornets which will be used to store the hornets that are part of the swarm. – An int indicating the size of the swarm, i.e. how many hornets are part of the swarm.The class must also have the following public methods: – A constructor that takes no inputs and creates an empty swarm. To do so, the fields should be initialized to reflect the fact that at the moment there are no hornets in the swarm. – A sizeOfSwarm() method that takes no inputs and returns the number of hornets that are part of this swarm.– A getHornets() method which takes no inputs and returns an array containing all the hornets that are part of this swarm. The hornets should appear in the order in which they have joined the swarm. This array must contain as many elements as the number of hornets in the swarm, and it should not contain any null elements.– A getFirstHornet() method which takes no inputs and returns the hornet who joined the swarm first, between those that are currently part of it. If there’s no hornet in this swarm, then the method returns null. Note that this method should not remove the hornet from the swarm.– An addHornet() method which takes as input a Hornet and does not return any value. The method adds the hornet at the end of the queue of hornets in this swarm. Make sure to handle the case in which there might not be enough space for this hornet to join the swarm. In such case, you need to make sure to create additional space. No hornet should be rejected from the swarm. If need be, this is a great place to create your own private method to help you with the implementation. Warning: make sure that no hornet is removed from the swarm as a result of adding the new one.– A removeHornet() method which takes as input a Hornet and returns a boolean. The method removes the first occurrence (remember the hornets should appear in the swarm based on the order in which they joined it) of the specified element from this swarm. If no such hornet exists, then the method returns false, otherwise, after removing it, the method returns true. Note that this method should compare hornets using directly their reference1.ATTENTION: Before proceeding further with the assignment, ensure that your implementation of this class functions as intended. Much of the subsequent code you’ll be writing depends on methods implemented in this class. Testing its functionality at this point is crucial!1The reason for this is to remove any dependency between this method and your implementation of equals() (see later).• Go back to the class Tile which you have created before. To this class add the following private fields: – An int indicating the food present on the tile. Bees collect food to feed their larvae. This is how strong bees are raised. If a player wants to add a new bee to the game, they will need to have enough food to do so.– A boolean indicating whether or not a bee hive has been built on the tile. – A boolean indicating whether or not a hornet nest has been built on the tile. – A boolean indicating whether or not this tile is part of the path that leads from the hornet nest to the bee hive. You can assume that in the game there is only one such path.– A Tile containing a reference to the next tile on the path from the hornet nest toward the bee hive. It contains null if the tile is not on the path or at the end of it. – A Tile containing a reference to the next tile on the path from the bee hive toward the hornet nest. It contains null if the tile is not on the path or at the end of it.– A HoneyBee indicating the bee positioned on the tile. – A SwarmOfHornets containing all the hornets positioned on the tile. Note that both the tile with the hive and the one with the nest will be part of the path leading from one to the other. They become part of the path only when a connection to the other tiles is establishes, not when the hive/nest is built.The Tile class must also have the following public methods: – A constructor that takes no inputs and creates a new tile. A new tile does not have a bee hive, a hornet nest, nor is on the path that leads from one to the other. On a new tile there’s no food, no bee, and no hornets. Initialize the fields to represent this.– A second constructor that takes all the inputs needed to initialize the fields from this class. The method takes the inputs in the same order as the fields are listed above. – An isHive() method which returns whether or not a bee hive has been built on this tile.– An isNest() method which returns whether or not a hornet nest has been build on this tile. – A buildHive() method which builds a bee hive on this tile. This is a void method that simply updates the field indicating whether or not there’s a bee hive on the tile. – A buildNest() method which builds a hornet nest on this tile. This is a void method that simply updates the field indicating whether or not there’s a hornet nest on the tile. – An isOnThePath() method which returns whether or not this tile is part of the path leading from the hornet nest to the bee hive.– A towardTheHive() method which returns the next tile on the path from the hornet nest to the bee hive. If this tile is not on the path or it is the tile with the hive, then the method returns null.– A towardTheNest() method which returns the next tile on the path from the bee hive to the hornet nest. If this tile is not on the path or it is the tile with the nest, then the method returns null.– A createPath() method which takes two Tiles as input representing the next tile on the path toward the hive, and the next tile on the path toward the nest respectively. The method updates the respective fields, making this tile become a tile that is part of the path that leads from the hornet nest to the bee hive. Note that it is possible for this method to receive null as one of the two inputs. This should only happen when the tile has a hive or a nest respectively and it is then placed at the extremities of the path that leads from one to the other. If this is not the case, the method should raise an IllegalArgumentException. To do so, write the following statement: throw new IllegalArgumentException(errMsg); where errMsg is a String containing an error message of your choice.– A collectFood() method with takes no inputs and returns an int representing the food stored on the tile. The tile is then left with no food. – A storeFood() method which takes an int as input representing the amount of food received and it adds it to the food stored on the tile. This method does not return anything.– A getNumOfHornets() method which returns the number of hornets positioned on this tile. – A getBee() method which returns the bee positioned on this tile. You should not make a copy of this object. – A getHornet() method which returns the hornet who joined the swarm on this tile first, between those that are currently part of it. You should not make a copy of this object. – A getHornets() method that returns an array containing all the hornets that are positioned on this tile. The hornets should appear in the order in which they have joined the swarm.– An addInsect() method which takes as input an Insect and adds it to the tile. Note that a bee can be added to the tile only if there’s no other bee positioned on this tile. More over, no bee can be positioned on the hornet nest! On the other hand, there’s no limit to the number of hornets that can be positioned on a tile. But hornets can only be positioned on a tile that is on the path from the nest to the hive (including both the nest and the hive).The method returns true if the insect was successfully added to the tile, false otherwise. Note that adding an insect to a tile, not only changes the properties of the tile, but also the properties of the insect. That is, the insect should now result as positioned on this tile. Once again, please do not make a copy of the input object. – A removeInsect() method which takes as input an Insect and removes it from the tile.The method should also return a boolean indicating whether or not the operation was successful. Note that removing an insect from a tile, not only changes the properties of the tile, but also the properties of the insect. That is, the insect should now result as not positioned on a tile. You can indicate this by updating the position to be null. This method should compare insects using directly their references.We are now ready to go back to the classes we created at the beginning. • In the class Insect go back to the constructor and make sure that when an insect with a specified position is created, such insect is also added to the corresponding tile. Note that it is not always possible to do that (for example there cannot be more than one bee on the same tile). If it is not possible to add the insect to the specified tile, then the constructor should throw an IllegalArgumentException.To the Insect class add the following public methods: – A takeDamage() method which takes as input an int indicating the damage received by the insect. The method applies the damage to the insect by modifying its health. To do so, subtract the damage from the insect’s health points. If, after the damage is applied, the insect ends up having a non-positive health (0 or below), then the insect has been killed. In such a case, it should be removed from the game. To do that, remove it from the tile. This method does not return any value.– An abstract method takeAction() which takes no inputs and returns a boolean. This method should be abstract (thus, not implemented) because the action to take depends on the type of the insect.– Override the equals() method. It takes as input an Object and returns true if it matches this in type, position and health. Otherwise, the method returns false.• In the Hornet class do the following: – Implement the takeAction() method. If there’s a bee positioned on the same tile as this hornet, the hornet will sting it inflicting on the bee an amount of damage equal to this hornet’s attack damage. If on the other hand there’s no bee on the same tile as this hornet, then the hornet will take a step toward the bee hive by moving to the next tile on the path. Note that this means that the tiles and the position of this hornet must all be updated accordingly. Whether the hornet stings a bee or moves to the next tile, the method returns true. If hornet on the other hand is already on the bee hive, and there’s no bee left on the tile, then there’s nothing for this hornet to do (the hornets have won the game!) and the method should return false. Note that you can assume that the hornet will never be positioned on a tile that is not on the path from the nest to thehive. Note also that the hornet either stings or moves. That is, even if as a consequence of the hornet’s attack, the bee dies, the hornet cannot move forward until its next turn. – Override the equals() method. The method returns true if the Object received as input matches this in type, position, health and attack damage. Otherwise the method returns false. Note that you do not want to rewrite code that you have already written in the superclass. How can you access methods from the superclass that have been overridden?• In the HoneyBee class do the following: – Add a public static double called HIVE DMG REDUCTION indicating the percentage of damage reduction bees should received if positioned on the tile with the bee hive. – Override the takeDamage() method. If a bee is positioned on the tile with the bee hive, then the damage received should be reduced by HIVE DMG REDUCTION (the damage should be rounded toward 0).• In the BusyBee class do the following – Add a public static int called BASE AMOUNT COLLECTED indicating the amount of food busy bees collect. – Override the takeAction() method. This type of bees collect pollen, so excuting an action results into BASE AMOUNT COLLECTED of food being added to the tile where the bee is positioned. The method returns true.• In the AngryBee class do the following: – Implement the takeAction() method. An angry bee positioned on the path that leads from the nest to the hive will attempt to sting a hornet. If on the other hand, it is not positioned on the path, then it won’t do anything and the method will return false.Note that if the bee tries to sting an hornet, it is not just simply stinging a random one! It will first look for a non-empty swarm, either on the on the same tile as the bee itself or on the next tile towards the nest. If it finds it, it will then sting the first hornet in the swarm by inflicting it an amount of damage equal to this bee’s attack damage. Note that bees cannot sting a hornet that is positioned on its nest! If there’s no hornet to be stung, then the bee won’t do anything and the method returns false. If the bee stings a hornet, then the method returns true. Note that no matter what the bee does, the bee ends its action on the same tile that it started on. That is, this method does not modify the tile on which the bee is positioned.Now that we have a working game, we can let our fantasy run and start adding some special units to make the game more interesting. For this assignment you should add the following: • Fire Bees. These bees have the ability to launch fire projectiles at tiles within a specified range from their position, causing those tiles to catch fire. This results in ongoing damage a↵ecting the entire swarm situated on those tiles. In order to add this special unit to the game you need to make the following updates:– In the Tile class do the following: ∗ Add a private boolean field indicating whether or not the tile is on fire. This should be set to false by default. ∗ Add a public method called setOnFire() that updates the corresponding field to true. ∗ Add a public method called isOnFire() that returns the value stored in the corresponding field.– In the Hornet class do the following: ∗ Add a public static int called BASE FIRE DMG as a field. This field stored the amount of damage hornets take from being positioned on a tile that is on fire.∗ Modify the takeAction() method. Hornets positioned on a tile that is on fire receive BASE FIRE DMG damage each time they begin taking an action. – Write a class FireBee derived from the HoneyBee class. This class should have the following fields: ∗ A private int indicating the maximum attack range of the bee. ∗ A public static int called BASE HEALTH indicating the base health of fire bees. ∗ A public static int called BASE COST indicating the their base food cost.The FireBee class has also the following public methods: ∗ A constructor that takes as input a Tile representing the position of the bee, and an int indicating its maximum attack range. The constructor uses the inputs to create a bee given the position, the attack range, base health, and base food cost. ∗ The takeAction() method. If positioned on the path, fire bees will exclusively target tiles occupied by hornets within their range, and that have not been already previously attacked by a fire bee. More precisely, between all of the available targets, they will set on fire the first encountered tile on the path leading from the bee’s position to the hornet nest. If the bee is not positioned on the path, then it does not do anything. Note that a fire bee can target tiles with other bees on it, but it should not target the tile on which it is itself positioned. Finally, remember that bees cannot attack hornets positioned on their nest.• Sniper Bees. These bees are highly skilled marksbees, armed with a long-range stinger enabling them to eliminate hornets from a distance with precision. Their two-step attack involves aiming before releasing a potent shot that pierces through multiple hornets in a straight line, e↵ectively reducing approaching swarms. While incredibly powerful, their slower rate of fire and vulnerability at close range necessitate strategic placement to optimize their e↵ectiveness. To add this special unit to the game, do the following:– Write a class SniperBee derived from the HoneyBee class. This class should have the following fields: ∗ A private int indicating the attack damage of the bee. ∗ A private int indicating the piercing power of the bee. ∗ A public static int called BASE HEALTH indicating the base health of sniper bees. ∗ A public static int called BASE COST indicating the their base food cost.The SniperBee class has also the following public methods: ∗ A constructor that takes as input a Tile representing the position of the bee, an int indicating its attack damage, and another int indicating its piercing power. The constructor uses the inputs to create a bee given the position, attack damage, piercing power, base health, and base food cost.∗ The takeAction() method. If not positioned on the path that leads from hive to nest, sniper bees do not do anything and the method returns false. On the contrary, if situated on the path, the bee scans for the first non-empty swarm along the route to the hornet nest from its tile. The sniper bee’s shot inflicts damage equivalent to its attack power on the first n hornets in the swarm, where n is either equal to the bee’s piercing power or the size of the swarm (whichever is smaller). But remember, sniper bees take two turns to shoot. This means that takeAction() should alternate between aiming (i.e. not doing anything), and shooting. The method returns true only when the shot has been released. As mentioned before, remember that bees cannot attack hornets positioned on their nest.• Hornet Queen. Almost twice the length of an average hornet, the leader of the hornets commands fear. With astonishing speed, she can execute two attacks within the time it takes a regular hornet to launch just one. Furthermore, when this formidable leader enters the battlefield, the entire swarm experiences a significant morale boost, resulting in rapid health regeneration. To add this special unit to the game do the following:– Inside the Insect class add a public void method called regerateHealth(). The method takes a double as input indicating the percentage of the health to be regenerated. it adjusts the insect’s current health based on the provided percentage. The result should be rounded toward 0. For instance, if the insect has health equal to 43 and the method should regenerate its health by 5%, upon execution, the insect’s health will be updated to 45.– Inside the Hornet class do the following: ∗ Add two fields: a private boolean indicating whether or not this hornet is a queen. And a private int that keeps count of how many queens have been created. These fields should be initialized by default to false and 0, respectively. Should they be static or non-static?∗ Add a public method called isTheQueen() that returns whether or not this hornet is the queen.∗ Add a public void method called promote() that makes this hornet a queen if no other queen has been created yet. ∗ Modify the takeAction() method to reflect the fact that the queen is able to act twice within the time of a single action. Note that this means that, if on a tile that is on fire, the queen should receive the damage twice (unless with its first act it moves to a tile without fire).– Finally, inside the SwarmOfHornets class do the following: ∗ Add a field: a public static double called QUEEN BOOST. This denotes the percentage of health regeneration received by all the hornets in the swarm when the queen joins them.∗ Modify addHornet() to reflect the fact that when the queen joins the swarm, all the other hornets receive a QUEEN BOOST health regeneration. Note that the queen’s health should not regenerate!
ECE3700J Introduction to Computer Organization Lab 2 Assembly Programming Purpose This lab is design for you to have a programming experience with RISC-V assembly instruction set. Tasks Develop a RISC-V assembly program that operates on a data segment consisting of an array of 32- bit signed integers. In the text (program) segment of memory, write a procedure called main that implements the main() function as well as procedures for other subroutines described below. Assemble, simulate, and carefully comment the file. Screen print your simulation results and explain the results by annotating the screen prints. You should compose an array whose size is determined by you in the main function and is not less than 30 elements. In this lab, you are allowed to use only RV32I BASE INTEGER INSTRUCTIONS. Any Extension Instruction Sets or pseudo-instructions should be avoided. main() { int size = ...; //determine the size of the array here int hotDay, coldDay, comfortDay; int tempArray[size] = {36, 25, -6, ... //compose your own array here //test data will be provided at demonstration }; //hotDay is the number of values greater than or equal to 30 in tempArray[] hotDay = countArray ( , , ); //coldDay is the number of values less than or equal to 5 in tempArray[] coldDay = countArray ( , , ); //comfortDay is the number of values between 5 and 30 in tempArray[] comfortDay = countArray ( , , ); } int countArray (int A[], int numElements, int cntType) { /************************************************************************* * countArray (int A[], int numElements, int cntType); * * Count specific elements in the integer array A[] whose size is * * numElements and return the following: * * * * When cntType = 1, count the elements greater than or equal to 30; * * When cntType = -1, count the elements less than or equal to 5; * * When cntType = 0, count the elements greater than 5 and less than 30. * *************************************************************************/ int i, cnt = 0; ...... //complete the code here //must call functions hot(), cold(), and comfort() return cnt; } int hot (int x) { if(x>=30) return 1; else return 0; } int cold (int x) { if (x5 && x
TU2983: Advanced Databases Individual Assignment 1 Normalized Relational Databases and Basic System Interfaces TASK 1: Build a Normalized Relational Database in Microsoft Access for your individually assigned topic: 1. Refer to the “TU2983 Individual Assignment Topics” document on http://ukmfolio.ukm.my for your individually assigned topic. Decide on an appropriate/catchy name for a shop selling this product (e.g “Solar Panel Mart”). 2. Build a table called TBL_PRODUCTS_ (e.g. TBL_PRODUCTS_A123456) that contains a minimum of 40 rows of products matching your individually assigned topic. This table must have the following attributes: ● FLD_PRODUCT_ID assign your own ID (keep it simple, future assignments will be based on the same data) ● FLD_PRODUCT_NAME copy from the source website (e.g. amazon.com, tesco.com, zalora.com) ● FLD_PRICE copy from the source website, or set your own price. ● 2 other attributes that can be used as categories (e.g FLD_BRAND, FLD_TYPE, FLD_SHIRTSIZE) ● At least another 2 attributes of any type (e.g. FLD_DESCRIPTION, FLD_QUANTITY, FLD_WARRANTYLENGTH) Your TBL_PRODUCTS_ table must have at least 7 attributes in total. 3. Copy a picture of the product, for each product in your TBL_PRODUCTS_ table, and rename the picture to match your FLD_PRODUCT_ID for the product. (e.g. if the FLD_PRODUCT_ID is “25”, save the picture as “25.jpg”) ● Save all you pictures in a subfolder called “pictures” . 4. Build additional tables for the following: ● 1 table for Staff information, with the necessary attributes (start with only 3 staff) ● 1 table for Customer information, with the necessary attributes (start with only 3 customers) ● 1 table for Order information, with the necessary attributes (start with no orders) ● And any additional table you need so that: o 1 customer can make many orders, but each order is only for 1 customer o 1 order can contain many products, and each product can be in many orders o 1 staff can process many orders, but each order is only processed by 1 staff ● Ensure that all your tables are normalized to at least 3NF. 5. Use the relationship view in Microsoft Access to specify the relationship between each of your tables ● Each table must be related to at least 1 other table. ● All tables must be connected to each other through relationships. ● Enforce referential integrity on all your relationships to show the cardinality of the relationship in the Microsoft Access Relationship View. 6. Your database file must be saved as DB__.accdb (e.g. DB_SOLARPANELMART_A123456.accdb) TASK 2: Build a new Visual Basic .NET project for creating a Basic System Interface for your shop: 1. Build a “Main Menu” for your shop, called frm_mainmenu_.vb (e.g. frm_mainmenu_a123456.vb) ● Your “Main Menu” must have buttons, where each button will open a separate form. that can view the contents of one table. You must have enough buttons and forms to open and view the contents of all your tables. ● For each table (products, customers, staff, orders) build a form. that will open and view the table’sdata. ● Each button on your “Main Menu” must open one of these forms. You must have at least 4 buttons. ● Your “Main Menu” will be evaluated in terms of aesthetics, design, neatness and professionalism. 2. Your VB. NET project must be saved as prj__ (e.g. prj_solarpanelmart_a123456) SUBMIT THE FOLLOWING: 1. Your entire VB project folder for this assignment’s project. 2. Your Microsoft Access Database, which should be stored in your VB project’s Bin/Debug directory. 3. Your “pictures” subfolder, which should be stored as a subdirectory in your VB project’s Bin/Debug directory. ● Compress all the files above into a single *.ZIP or *. RAR, and label this file as _
SG7003 Business Simulation with Professional Development Academic Year 2024/25 ASSESSMENT Learning outcomes in this assessment: Knowledge 1. Explain the theory and practice of businesses 2. Describe a range of current problems and changes that organizations face in being successful Thinking skills 3. Critically evaluate research and theory to support decision-making and explain progress 4. Analyse complex issues, make reasoned judgments with incomplete data, and communicate conclusions clearly to specialist and non-specialist audiences Subject-based practical skills 5. Students will discuss good practice for organization success 6. Undertake a critical audit of skills and capabilities for a professional career and identify areas required for improvement Skills for life and work (general skills) 7. Developing and communicating critical evaluations of organization progress 8. Working effectively in teams Individual assignment overview The individual assignment – to be submitted as one report – is comprised of two parts: A and B. Part A is the simulation evaluation. This focuses on evaluating your company in the simulation. Part B is the professional development reflection. This focuses on evaluating your individual performance in working with other students in your team in the simulation. Each part is worth 50%. Part A: Individual simulation evaluation (Business simulation) Weighting – 50% Word Count – 3000 You have been managing your company in the business simulation activity for at least eight quarters (two quarters weekly). You are now reviewing and presenting your future plans for the company based on your annual business plans and performance in the simulation. You are required to evaluate the success of your decisions and make recommendations for future company plans. Element Word Count Value 1. Executive Summary Remember this is an overview of: the most important decisions you made; the actual results you got; the most important decisions you have made about your future strategy 250 5% 2. Describe the simulation company Vision and Strategy over the simulation e.g. vision, values, mission, HR This section is to be based on your Team business plan. Please use your own words to describe your company’s Vision and Strategy (do not ‘copy and paste’ your group business plan) 250 5% 3. What you did Performance review: competition analysis (Market choice/share; competitors; internal capabilities). Also talk about the most important decisions you made and the targets you set quarterly over a selected period of time. 500 5% 4. What the outcome was Explain simulation performance results quarterly over a selected period of time taking into account: Position, KPIs, Financial performance Performance review: Performance analysis: analyse performance (evaluate decisions taken in each area – Strategy/ Marketing / HR/ Logistics / Finance / Product development / Responses to World events etc linking to simulation results) Marks will be awarded for how well you explain the connection between the decisions you made and the results you achieved (regardless of whether the outcome of your decisions were positive or negative in a business sense) 1,000 15% 5. Future Company Strategy Develop future company plans and recommendations including: 1. Define key decisions for a selected period of time 2. Identify any changes to current strategy and how to achieve those changes 3. Set out recommendations – based on your review of company performance, 4. Explain areas for potential growth 1,000 15% 5. Additional Criteria Structure and writing (Grammar, argument, clarity, use of business theory to support arguments) n/a 5% TOTALS 3,000 50% (the other 50% comes from Task B) Further details: Performance review: · Assess the success of the strategy or strategies compared to industry conditions and competitors in the simulation · Analyse company performance e.g. comparing actual performance with targets in your Business Plan, financial data analysis, decision analysis and justification of performance measures and strategy, application of business scorecard etc Performance analysis further details: · Explain why business plan achieved/ missed, why performance changed · Explain differences from competitors/ industry (in simulation) · Explain any changes made to business plan and company, why, any impact Part B: Individual reflective report (Professional development) Weighting – 50% Word Count – 3000 Your annual Performance Development Review is approaching. You are keen to reflect on how working in this team compares to what you have learnt on your MBA course and your understanding of how companies perform. You are required to prepare a report that covers research into one or two events from your simulation team looking at group dynamics, how decisions were made, leadership analysis, and implications for your individual professional development. This should cover: · Report summary · Introduction and Identified events 10% · Application of theory and practice to identified events 15% ◦ Use theory to make sense of the two events – what happened, how, why ◦ Brief review of applied theories / concepts/ industry practices - how relevant and valid are they to your events · Discussion and recommendations 10% ◦ Review and explain your individual professional development ◦ Recommendations to improve your practice and areas for you to research to improve your development · Structure and writing (Grammar, argument, report summary) 5% · Appendix (incl. individual reflection logs for each quarter selected for the purpose of the simulation evaluation) 10% An example of an identified event (not to be used in your assessment): · Your team is virtual and has had mixed performance throughout the simulation activity. It feels like it has been a very iterative process in getting people and building the team. Communication has been hard with individuals having different levels of access to technology (i.e. intermittent internet, using mobile phones instead of computers), and some members have engaged little with other team members. This has meant redistributing work and recognising what each member is likely to complete. Submission procedure: Your individual report should be prepared as explained in the assessment and uploaded to the appropriate Turnitin link available on the module’s Moodle site. A cover page, which will be provided on the module’s Moodle site, should be included as part of the submission. 1.1 Structure and presentation Your work should be word processed in accordance with the following: Font size 12, using a sans serif font such as Arial or similar 1.5 line spacing The page orientation should be ‘portrait’ (large diagrams and tables can be in landscape orientation if that enables them to fit on fewer pages) Margins on both sides of the page should be no less than 2 cm Pages should be numbered Your name should not appear on the script Your student number should be included on every page. 1.2 Guidance on referencing You have been asked to prepare a coursework comprised of two parts – Part A: Simulation Evaluation and Part B: Reflection. As a student, you will be taught how to write correctly referenced essays using UEL's standard Harvard referencing system from Cite Them Right. Cite Them Right is the standard Harvard referencing style. at UEL for all Schools apart from the School of Psychology which uses the APA system. The electronic version of Cite Them Right: The Essential Referencing Guide (11th edition), can be accessed whilst on or off campus via UEL the link below and will teach you all you need to know about Harvard referencing, plagiarism and collusion. The book can only be read online and no part of it can be printed nor downloaded. Further information is available at: Cite Them Right http://www.citethemrightonline.com/ If you are accessing off campus: · Click Login · Select University of East London from the list of institutions · Click Log In at University of East London · Enter your UEL email address and password 1.3 Submission of assessments · Notice is hereby given that all the coursework for this Module must be submitted to Turnitin. If you fail to submit to Turnitin, in accordance with the guidance provided on the Virtual Learning Environment (Moodle), a mark of 0 will be awarded.
CHEM 1505: Chemistry Laboratory I Introduction Welcome to CHEM 1505:Chemistry Laboratory l. This Course Guide contains important information aboutthe course structure,learning materials,and expectations for completing the course requirements.It also provides information about how and when to contactyour Open Learning Faculty Member,an expert in the course content,who will guide you through the course.Take some time to read through the Course Guide to familiarize yourself with what you need to do to successfully complete your course. If you have any questions,please feel free to contact your Open Learning Faculty Member.We hope you enjoy the course. Course Description This course is the first laboratory in a fundamental first-year chemistry course,designed for students who have completed CHEM 1503:Chemical Bonding andOrganic Chemistry.The topics include a review of laboratory safetyand equipment, chemical changes,laboratory techniques and measurements,separation of mixtures,properties of gases,liquids and solids, physical and chemical properties,identification of metalicions,ionic reactions,stoichiometry of a precipitation reaction,caloric content of food,and water-hardness determination.Students are expected to become familiar with these topics,and demonstrate their proficiency in various laboratory techniques. Prerequisities Recommended: Chemistry 11 Chemistry 12 Principles of Math 12 Foundation of Math 12. Co requisite: A first-year general chemistry course,such as CHEM 1503 Learning Outcomes After successfully completing this course,you will be able to: ● Demonstrate and have an appreciation of basic laboratory safety concepts. ·Assemble and operate experimental apparatus. ·Demonstrate basic chemistry lab techniques such as weighing samples,reading scientific scales,performing accurate measurements,pipetting,titrating,using volumetric glassware,and using a colorimeter. ● Demonstrate basic handling and cleanup of chemicals. ● Demonstrateorganized recording of experimental and observational data. ·Displaydata results in a graph. ·Use experimental data to construct calibration curves,perform dilution calculations,and calculate the amount of unknown compounds in a sample. ·Use appropriate references for obtaining information about a chemical. ·Cite literature referencesproperly. Course Materials This section describes the course materials that you will need for CHEM 1505. Lab Kit &Lab Manual Your lab kit provides equipment,chemicals,and anything else that you will need to do the experiments and can't provide for yourself.Some common materials,like vinegar and other household items,you may need to supply. Your Lab Manual (found on Lab Manual tab)gives you instructions on how to do each experiment.These instructions have been tested by lab instructors and students,but if you have any questions about a procedure or something doesn't work,contact your Open Learning Faculty Member. You will be instructed to keep observations in laboratory notes.You will not send all of your notes for grading,but you will be asked to send certain data tables,answers to questions,and photos showing techniques or results.You will need to have access to a digital camera during the experiments to take photos of your progress.Make sure that you keep very detailed,neat,well organized notes so that you can show that you have done the experiment and have understood the concepts.Your laboratory notes will help you prepare for your labreports and the final exam. Note lf you have any questions about course textbooks or other materials,please contact Enrolment Services at [email protected] or 1.800.663.9711(toll-free in Canada),250.852.7000(Kamloops,BC),and 1.250.852.7000(International). Required Hardware,Software,Computer Skills,and Other Resources You can find detailed information about the hardware,software,and computer skills requirements for your course at The other resources that you need for this course are the following: Computer with Internet Connection:You will need a computer with Internet connection to access the course materials and complete the assignments. Digital Camera:You will need to have access to a digital camera during the experiments to take photos and videos of your progress. Web-cam: You will need a computer web-cam in order to demonstrate your work in the practical component of the final exam. For more information,please read the "Assessments"section in this Course Guide. Microphone headset:To communicate with your Open Learning Faculty Member during the practical component of the final exam,you will need computer speakers or headphones,and a microphone.(A computer headset should be sufficient.) Skype Account:You will need a Skype account in order to demonstrate your work in the practical component of the final exam. Skype accounts are free,and you can reqister for an account at http://www.skype.com. If you are unable to use Skype,please contact your Open Learning Faculty Member to make an alternative arrangement. Calculator: This course requires a non-programmable,single-numeric line calculator,such as the Casio fx-260.This course does not permit textual input calculators,electronic devices,paper dictionaries,or translation devices to be used on the final exams. We reserve the right to inspect any student calculator during the final exams.
For this coursework, answer the following questions in a single document and submit your answers as a PDF. You have developed a prototype software that given demographic information about a patient (age, gender) and a chest Xray, and using machine learning, is able to predict whether a patient is at risk of developing a variety of pathologies. The findings are stored within an automatically generated report. During your preliminary analysis, your prototype obtained a 90% ROC AUC, that is comparable with the performance of an expert clinician. You now want to productise your prototype and received sufficient investment to do it. You can hire software developers. You also have sufficient fundings to obtain time from clinical expert, regulator expert and conformity assessment to allow procurement by the hospital for its intended use within the hospital. You would like your product to be deployed with Guy’s and St Thomas’ Hospital, where it will connect to the EHR and the PACS, to retrieve the demographic and scanner data respectively. The generated report will be pushed to be store within CRIS. The Fast Healthcare Interoperability Resources standard will be used to communicate with the EHR, the DICOM protocol will be used to communicate with the PACS, and your product will interact with RIS via a dedicated API. Question 1 [20 marks]: Identify the different high-level components that will constitute your software. These components will be used to implement an object-oriented based architecture. In less than 400 words, describe your overall architecture (What are the components? How do they interact?) and each component in more details (what do they encapsulate? What are their functionalities?). Use a diagram to illustrate your answer. Question 2 [20 marks]: Identify all the stakeholders of your project. In less that 400 words, describe how each of them will engage with the software life cycle steps as part of the development of your product. You can refer to your selected process model should it help arguing your answer. Question 3 [15 marks]: As you are developing a software as a medical device, you need to identify the classification of your product. In less that 150 words, indicate the classification and justify your answer. To answer this question, you can refer to the UK regulation according to the Medical Device Directive 93/42/EEC or the EU regulation MDR 2017/745. Question 4 [20 marks]: For your medical device certification, a risk management document will have to be submitted. It should include a risk management table (risk table). Complete such a table for all aspects related to your software. Your table could include up to 20 rows. Question 5 [25 marks]: As part of your certification process, you will need to verify and validate your product. Detail, in less than 200 words, how your intent to verify your tool and what are the objectives of verification. In another 200 words max, describe how you could validate your tool.
INFS5730 - Social Media Analytics in Practice - T3 2024 SAS Hands-On Assignment - SAS Visual Text Analytics In this hands-on assignment you are required to conduct a textual analysis using SAS Visual Text Analytics and submit a report on Moodle course site through Turnitin. The due date of this assignment is on Week 6, Friday 5:00pm 18th October 2024 (AEST). Please note that this assignment is worth 25% of your overall course mark. Requirements The purpose of this assignment is to use SAS Visual Text Analytics to analyse a dataset called laptop_reviews available on Moodle as a CSV file. The dataset consists of a sample of 6,400 customer reviews of laptops purchased on Amazon Website from 8 major brands: Acer, Alienware, ASUS, Dell, HP, Lenovo, MSI, and Razer (800 customer reviews for each brand) . The file laptop_reviews.csv, available on Moodle, includes the following fields: • ProductId: Unique identifier for the product • UserId: Unique identifier for the user • Score: Rating between 1 and 5 • Review: Text of the review • Brand: Brand of laptop (Acer, Alienware, ASUS, Dell, HP, Lenovo, MSI, or Razer) This is a sample dataset derived from a larger dataset available at: https://huggingface.co/datasets/naga-jay/amazon-laptop-reviews-enriched. You are required to conduct a data analysis of the customer reviews provided in the dataset laptop_reviews.csv using SAS Visual Text Analytics in two parts. Part 1 consists of exploring predefined concepts and automatically generated topics to derive insights from the data. Part 2 consists of defining your own custom concepts and custom categories to answer specific research questions. Deliverable In this assignment you are required to submit a report (in Word format) including the following components: • A standard cover page (available on Moodle). • Part 1 o Predefined Concepts (worth 20% of the available marks) - up to 600 words An exploration of the dataset using TWO (2) relevant predefined concepts. For each selected predefined concept, your answer must include the following: - An explanation of why you think the selected predefined concept can be relevant to your data analysis. - A discussion of the findings and the insights that you could unveil from these findings. Include relevant screenshots from SAS Visual Text Analytics. - A discussion of the benefits and limitations of relying only on the selected predefined concepts. o Auto-generated Topics (worth 20% of the available marks) - up to 600 words - An exploration of the dataset using TWO (2) relevant topics among those automatically generated by SAS. For each selected topic, your answer must include the following: - An explanation of why you think the selected topic can be relevant to your data analysis. - A discussion of the findings and the actionable insights you could derive from these findings. Include relevant screenshots from SAS Visual Text Analytics. • Part 2 o Custom Concepts (worth 30% of the available marks) - up to 800 words Write TWO (2) custom concepts, each using a different concept rule type. For each custom concept, your answer must include the following: - An explanation of the objectives of your analysis - A justification of the reasons behind your choice of the concept rule type - The custom concept rule to fulfil the objectives of your analysis - A detailed explanation of the concept rule syntax - A discussion of the findings and insights that you could derive from these findings. Include relevant screenshots from SAS Visual Text Analytics. o Custom Categories (worth 30% of the available marks) - up to 800 words Write TWO (2) custom categories. For each custom category, your answer must include the following: - An explanation of the objectives of your analysis - The custom category rule to fulfil the objective of your analysis - A detailed explanation of the category rule syntax - A discussion of the findings of your analysis and insights that you could unveil from these findings. Include relevant screenshots from SAS Visual Text Analytics. Word Limit Each section of the report has a word limit, as indicated in Deliverable. The distribution of word count proportionally reflects the complexity and significance of each section, totalling a maximum word length of 2,800 words. There is a (+10%) leeway in word limits for each section. Please note that screenshots, custom concept and custom category syntax are excluded from the word count. You should be mindful of the marks awarded to each section, as indicated in Deliverable, when allocating the number of words spend on each section. Please note that material presented in excess of the word limit for each section will not be considered when grading the assignment. Formatting Formatting Please ensure the following requirements: • Arial 12-point font • 1.5 spacing • Page numbers on each page • Cover page included • All required sections included Submission Upload your report document (in Word format) on Moodle. • You can only upload one report document. • You are advised to keep a copy of your submission. The originality of the submission will be checked using Turnitin. Please check the originality report generated by Turnitin during the submission process.
7SSGN110 Methods in Environmental Research Practical 9: Ordination & Classification This practical runs through the ordination techniques taught in the lecture, and provides a classification example using the K-means clustering in R. 1. Unconstrained Ordination (/Indirect Gradient Analysis) Recapping our lecture, Indirect Gradient Analysis (unconstrained ordinations) seeks to find underlying patterns in multivariate environmental data (e.g. based on species or environmental patterns). Unconstrained ordinations do not attempt to try to find explanations for community compositions or other factors from environmental data, merely detect general variations of the data. Introduction to the dataset To investigate variability in chemical concentrations across the Catskill Mountain area of New York, USA, Lovett et al. (2000) measured water chemistry (10 chemical concentrations) of 39 streams. The data are available in ‘Lovett.csv’ – this data is from Table 1 in Lovett et al. (2000; explanation of the variables used can be found in the paper). Spend some time familiarising yourself with the data set and how it is presented. 1.1. Inspecting the data i. First import the lovett.csv data into RStudio. What command do you use to read csv data?: read.csv(). Remember to have set the working directory and set the correct .csv file in brackets. Make sure R knows the first row is a header. How?: remembering to add header = TRUE You will also need to add row.names = 1 in the brackets to make R note that the first column holds the row names (in this case the site name for each row). To understand some of the underlying patterns of the data, we can first plot a scatterplot matrix using the pairs() function. Note that this initial inspection is not necessary for an ordination; we are merely trying to show that there are clear environmental patterns in the data. ii. Create a scatterplot matrix using the pairs() function now. You should end up with a scatterplot matrix like below. Stuck?: use pairs(lovett) Ø Which variables are strongly correlated? How might you expect these to be demonstrated in the ordination? Rather than having very complex multivariate data (one for each measurement, i.e. 10 dimensions – beyond easy comprehension), we will be using an unconstrained ordination to reduce this large multivariate data set to fewer dimensions (e.g. 2, to enable us to plot the site variation on a 2D plot). In doing so we will be able to examine how concentrations of different chemicals are related (i.e. how these variables ‘load’ similarly on the primary axes we produce) and see how the different streams are related to one another in terms of those chemical concentrations. Recall from the lecture that the unconstrained analysis we perform. is dependent upon the environmental gradient length and whether any undesirable artefacts are present in the dataset. Thus, we can first run a DCA to investigate the gradient lengths. 1.2. Detrended Correspondence Analysis (DCA) The vegan library is full of useful ecological analysis tools. i. Start by installing and loading the library with: install.packages("vegan") library(vegan) ii. A DCA can be run in R very easily using the decorana() function included in the vegan library. This should take the form. of: lovettDCA
CSCI 104 HW4: Programming Assignment Due: Friday, December 6th, 11:59pm PST To access the written portion of this assignment, click here The GitHub Classroom link to access this assignment is: here In this project we have provided a substantial code base. You MUST provide a Makefile for Problem 3 so that we can compile your code (notrun it) by simply typing make which should, among other compilation commands, produce an executable floorplan Rememberto compile and test your code inside Docker(but should do your git commands outside Docker) We will not be providing the full testing suite forthis assignment. You are expected to test your own code to figure out if it works. However, we’ve given you a test helperin avlbst_testcase_builder and a README guide inside. Problem 1 (Binary Search Tree Iterators, 17%) We are providing you with interface specifi cations for binary search trees. We are providing for you a half-fi nished fi le bst.h (in the homework-resources repository) which implements a simple binary search tree. We are also providing a complete print_bst.h fi le that allows you to visually see yourtree, for help in debugging. You will need to complete the implementation for all seven functions that have TODO next to their declaration in bst.h . We provide additional clarifi cations forthe following functions, where n is the number of nodes in the tree, and h is the height of the tree: void insert(const std::pair& 1. keyValuePair) : This function will insert a new node into the tree with the specifi ed key and value. There is no guarantee the tree is balanced before or afterthe insertion. If key is already in the tree, you should overwrite the current value with the updated value. Runtime is O(h) . 2. void remove(const Key& key) : This function will remove the node with the specifi ed key from the tree. There is no guarantee the tree is balanced before or afterthe removal. If the key is not already in the tree, this function will do nothing. If the node to be removed has two children, swap with its predecessor (not its successor) in the BST removal algorithm. If the node to be removed has exactly one child, you can promote the child. You may NOT just swap key,value pairs. You must swap the actual nodes by changing pointers, but we have given you a helperfunction to do this in the BST class: nodeSwap() . Runtime ofremoval should be O(h) . 3. void clear() : Deletes all nodes inside the tree, resetting it to the empty tree. Runtime is O(n) . 4. Node* internalFind(const Key& key) : Returns a pointerto the node with the specifi ed key. Runtime is O(h) . 5. Node* getSmallestNode() : Returns a pointerto the node with the smallest key. This function is used by the iterator. Runtime is O(h) . 6. bool isBalanced() const : Returns true if the BST is an AVL Tree (that is, for every node, the height of its left subtree is within 1 of the height of its right subtree). It is okay if your algorithm is not particularly effi cient, as long as it is O(n^2) . This function may help you debug your AVL Tree in problem 2. 7. Constructor and destructor: Your destructor will probably just call the clearfunction. The constructor should take constant time. 8. You will need to implement the unfi nished functions of the iterator class. Note that a BST (as well as any map implementation) should always be organized via the key of the key/value pair. Problem 2 (AVL Trees, 30%) We are providing you a half-fi nished fi le avlbst.h for implementing an AVL Tree. It builds on the fi le you completed forthe previous question. Complete this fi le by implementing the insert() and remove() functions for AVL Trees. You are strongly encouraged to use private/protected helperfunctions. Notes and Requirements 1. Forthe insert() method, you should handle duplicate entries by overwriting the current value with the updated value. 2. There is a data member variable height_ forthe AVLNode in avlbst.h which you should use to store and update the height of a given node. 3. When writing a class (AVLTree) that is derived from a templated class (BinarySearchTree), accessing the inherited members must be done by scoping (i.e. BinarySearchTree:: or preceding with the keyword this-> . 4. This note may not make sense until you have started coding. Your AVLTree will inherit from your BST. This means the root member of BST is a Node type pointer that points to an AVLNode (since you will need to create AVLNodes with height values for your AVLTree), which is fi ne because a base Node pointer can point at derived AVLNode s. If you need to access AVLNode-specifi c members (i.e., members that are part of AVLNode but not Node) then one simple way is to (down)cast your Node pointerto an AVLNode pointer, as in static_cast(root) to temporarily access the AVLNode-specifi c behavior/data.
ESS241 Lab 4: Geological cross-section Due date: Oct. 14th, 2024, 11:00 pm for Monday Lab session Oct. 17th, 2024 11:00 pm for Thursday Lab session Total: 50 points For this lab you will need Graph paper Mechanical Pencil or regular pencil with a sharpened point for neatness Color pencils Ruler Protractor Eraser The artificial geological map on the last page shows several sedimentary layers. Using structure contours (strike lines) construct a geological profile along the line Y-Z. Do not exaggerate the profile (No vertical exaggeration). Determine thickness and orientation (dip direction and dip) of the individual layers. It is recommended that you draw your cross-section on Graph paper. Marking scheme a. Strike lines on map- 5 point b. Topography on the cross-section (solid line for known, dashed for unknown)- 5 points c. Lithologies on the cross-section- 5 points d. Orientation of the lithologies (show your calculations)- 5 points e. Does the cross-section show the true dip or apparent dip of the lithologies? How do you know this? - 3 points f. True thickness of the lithologies B, C, D, E (show your calculations)- 5 points g. Title and north arrow- 1 point h. Scale - 2 points i. Label Axes- 2 point j. Label outlier and inlier (on map and cross-section)- 4 points k. Imagine there is a deposition of new sediments in the eastern valley of your cross-section. What type of unconformity would you have here? - 2 points l. At what angle, to your original cross-section would you have to draw a second cross- section to see the dips of the lithologies at 10o ? (Show your calculations)- 6 points m. Neatness (Legible handwriting, crisp lines, clean cross-section)- 5 points Length
TU2983: Advanced Databases Individual Assignment 2 Data Entry and Data Manipulation Interfaces [UPDATED 9/12/2024] IMPORTANT NOTE:This assignment continues from the work you have done in “Individual Assignment 1”. You are required tore-use same Visual Basic Project that you created for “Individual Assignment 1”, or use an improved version of the same Visual Basic Project for “Individual Assignment 1”: 1. You will use the same topic that was previously assigned to you in “Individual Assignment 1”. 2. All windows forms that you previously created for “Individual Assignment 1” must be used, or be improved. 3. The database file that you previously created for “Individual Assignment 1” must be used, or be improved. 4. The pictures that you have previously collected created for “Individual Assignment 1” must be used. 5. You will add new windows forms required for this assignment to your previous Visual Basic Project. 6. Evaluation of “Individual Assignment 2” will only be made on the following Tasks: TASK 1: Build a catalogue form. that the user can use to browse each product in your database and view the product’s picture. 1. Use the same table of products, tbl_products_ (e.g. tbl_products_a123456), that you created for “Individual Assignment 1”, or use an improved version of the table of products. 2. Use the same pictures of products that you created for “Individual Assignment 1”. 3. The user must be able to view the attributes of each products and the product picture at the sametime TASK 2: Build forms for each of the following tables, which will allow you to INSERT, UPDATE, and DELETE data that is contained in that table: ● The Products table ● The Staff table ● The Customers table 1. For the Product INSERT form. only, include a button to select a product picture when you are inserting a new PRODUCT database record through your form. ● IMPORTANT: Your evaluator will test your program by attempting to add new products and new product pictures. 2. You must ensure that your program does not terminate when a user makes a mistake in data entry. ● IMPORTANT: Your evaluator will test the resilience of you program in capturing errors, by attempting the following mistakes: a. Deliberately adding a primary key that already exists for a new data row. b. Deliberately typing a foreign key that does not exist when editing data. c. Deliberately adding alphabetical data for numeric attributes. TASK 3: Add new buttons to your existing ‘MAIN MENU’ form. that can open each of the forms that you built for TASK 1 & 2. 1. Your program will also be evaluated for aesthetics, neatness, and user-friendliness. SUBMIT THE FOLLOWING: 1. Your entire VB project folder for this assignment’s project, which contains: o Your Microsoft Access Database, which should be stored in your VB project’s Bin/Debug directory. o Your “pictures” subfolder, which should be stored as a subdirectory in your VB project’s Bin/Debug directory. o All the old forms you previously created for “Individual Assignment 1”. o All the new forms that you created for “Individual Assignment 2” . 2. Compress all the files above into a single *.ZIP or *.RAR, and label this file as _
BLAW1002 S2 2024 – EPA Brief A. Context and Overview ‘Assessment 2’ is the Economics Principles Analysis (EPA), worth 30% of the final mark. The EPA is a ‘take-home’ activity, consisting of a set of tasks to do. This EPA assesses the Economics Topics E1 (Module 6) and E2 (Module 7). You will have up to eighteen (18) days to complete the EPA on your own. Timeline of EPA-specific events (local time in year 2024AD): 1. Assessment brief available on Blackboard (Bb): 9th September, 9pm. 2. Submit to Turnitin by the official due date: 27th September, 11:59pm. 3. ETA of marks/feedback on your EPA in Grade Centre is by 18th October, 9pm. Key assessment information: EPA consists of three compulsory questions: Q1 - 10 marks; Q2 - 15 marks; Q3 - 5 marks. For supporting info on EPA, refer to following PDFs, available in Assessments tab on Bb: 1) EPA Brief S2 2024 [this document] 2) Marking Guidance and FAQs for EPA S2 2024 Your answers need to be typed, but diagrams must be hand-drawn (digital inking using a stylus is fine) and included in the Word document or in PDF. Main thing is that you specifically answer the tasks and have sufficient explanations, and refer to key sentences and ideas from various articles* where relevant to support your analysis. *= the key articles are available for free online - but if not most from Curtin’s Library databases (but see doc. 2). Note, the word count is a suggested maximum. The EPA will take up some of your thinking time, but this is a doable assessment. A general guide on what the marker is looking for in this assessment is recalling the tutor- student discussions in the M6, M7 and M8 workshop sessions. Your tutor as an exemplar would have gone through the process of how best to explain price elasticity of demand and the key isoprofit diagram, and so on. The lectures on E1 and E2 (especially the Module 7 topic) may come in handy as well. You are to complete the two parts of this EPA by your human self -- no need for you to share/upload it on the web for extra help -- please no Gen-AI LLMs or other agent assistance. The lectures, set tutorial questions, and assigned readings within this brief and from the CORE text should be sufficient resources for you to draw upon to do the tasks well enough. Many thanks in advance for your cooperation, Brennan AI Tech Incorporated (BAT Inc.) IMPORTANT: When ready to submit, ONLY include answers and prepare your document as following: Full Name and Student ID on the first page as a title in the Word document (or PDF) to Turnitin by the due date (see Assessmentstab on Bb). B. Assessment Tasks Q1 – 10 Marks Consider these two scenarios for Nike shoes and how the price elasticity affects its revenue: Scenario 1: Assume Nike increased the price of Air Jordans for sneaker aficionados by 20% in first half of 2023. Explain the elasticity of demand based on the (freely-available) articles below: https://news.temple.edu/news/2023-04-03/how-michael-jordan-revolutionized-sneaker-industry-and-our-relationship-shoes https://www.ft.com/content/8f2bd259-01cb-4545-b060-f6f631083a81 Scenario 2: Assume Nike increased the price of Air Force 1 shoes by 10% in first half of 2024. Explain the elasticity of demand based on the (freely-available) article below: https://www.bloomberg.com/opinion/articles/2024-06-28/adidas-is-sambaing-all-over-nike-s-high-tops For each scenario, do the following: a. Draw a single straight-line demand curve and explain the relevant details on the price elasticity of demand (PED). b. Show the workings of your calculation of PED. c. Describe and quantify what would happen to revenue in this case. d. In your answer, use hypothetical incremental values (rough guesses from your imagination) for the prices on the y-axis and quantities on the x-axis. 500 ± 100 or so words should be sufficient Q2 – 15 Marks Adidas has gained brand momentum and outperformed Nike in the first half of 2024. Consider Addidas’ classic shoes, Sambas which are back in vogue (for now). https://www.fastcompany.com/91118038/sneaker-sales-sambas-2023-shoe-year-will-likely-peak-soon-but-adidas-has-plan Assume the firm sells the base model of Sambas direct-to-consumers (DTC) from their online store at a profit-maximising price of $100 USD. Assume the average costs of production is $60 USD per shoe. This figure includes the costs of materials (e.g. soles, synthetic leather, threads, logos/inks, trims etc.), labour, shipping, insurance, marketing, and other expenses/overheads. Demonstrate and explain what the profit of this firm might look like using a key economics diagram, as discussed in the economics lectures/videos and tutorials in BLAW1002 S2 2024. In your answer: a. For the incremental quantities of monthly shoe production on the x-axis, use hypothetical values (rough guesses from your imagination). Use intuition for making up the incremental prices/costs on they-axis. b. You will hand draw the diagram, including the one (1) isoprofit curve. Be accurate when you draw your isoprofit curve. To show to the reader that your profit is the same (‘iso’), calculate and show your workings of what the (same) iso-profit would be for the price of $200 and for $80. c. At the profit-maximising price, identify the areas of producer and consumer surplus, and calculate the price markup. d. Finally, analyse and compare the profit and price markup if Adidas discounted the price of shoes by 30% for the month of September. 500 ± 100 or so words should be sufficient Q3 – 5 Marks ‘It is possible in future for Nike to be swept away by the forces of creative destruction’ . Critical evaluate this statement and elaborate on why Nike has had its profits eaten away by 2024 based on the (freely-available) articles below: https://www.modernretail.co/operations/why-nikes-dtc-pivot-didnt-pan-out/ https://www.businessoffashion.com/articles/retail/nike-sportswear-market-challenges-john-donahoe/ https://underthelaces.com/posts/nike-to-prioritize-budget-friendly-lineup-amid-cost-sensitive-market-01j1g9w8094k https://www.thetimes.com/business-money/companies/article/how-nike-fell-behind-in-the-race-to-be-the-king-of-trainers-dmq0pfg5k https://www.telegraph.co.uk/fashion/news/nike-trainers-sales-drop-off/ 400 ± 100 or so words should be sufficient
GROUP 4 BIOL21351 Molecules to Cells in Human Disease. Course work essay. Instructions. Answer one question. If you submit an essay that was not one of the two on this paper you will receive a mark of zero. Your essay should be a MAXIMUM of 3 pages including figures. You should include references as separate page, using either Harvard or Vancouver formats. If you want to include figure(s) in your answers: · You can draw the figure manually; photograph or scan it; and include the electronic image in your answer. · You can draw a figure electronically using software (e.g. Biorender) and include it in your answer. · You should not include a figure published in a paper, book or website. Such figures will not be marked. Please include on your submission title page the question you have attempted. FORMATTING INSTRUCTIONS: Complete as a word-processed document using 1.5 line spacing, Arial font (10 pt) and margins of 2.5 cm on all sides of an A4 page. You may include an additional page for references. Reference lists can use either Harvard or Vancouver formats. Essays will be submitted through Black Board. Submission areas with instructions will be set up. The submission deadline for the essay is Monday, January 6th at 2 pm. Your assigned essay is: The extracellular matrix (ECM) in the human body is composed of a diverse set of proteins that are present at a range of concentrations, subjected to covalent modifications, and organised into complex structures. Describe the experimental methods that have been used to characterise this compositional and structural diversity (50%). Explain how ECM composition defines the mechanical properties of tissues (50%).
ECOM 2001 Term Project Description Due 17/01/2025 at 23:59 AWST Introduction The aim of this project is to prepare, evaluate and analyse stock market data and to recommend an optimal portfo- lio consisting of two stocks. You have been assigned three stocks, all three must be included in the analysis which works towards your recommendation of a final optimal portfolio. The project requires a deep understanding of both the statistics and the mathematics components of this unit. It is recommended that you work on this on a weekly basis. YOU MUST USE THE STOCKS ASSIGNED TO YOU. Any deviation from the assigned stocks will results in a grade of zero. Refer to the rubric at the end of this document to understand how this assessment will be graded. In particular, note that all figures need to be numbered and labelled, and you need to include all the steps to involved with arriving at each of your answers. Your final report should be a pdf document. An RMarkdown document to get you started is available on the unit Blackboard site. Show all of your coding by keeping echo = TRUE. Make sure to update your name and student ID in theYAML of the document. You are NOT ALLOWED to engage any AI-assistive platforms to complete this assessments, unless you are told otherwise (in 2 questions below). 1 Import Data (2 points) Import the adjusted stock prices for the three stocks which you have been assigned. See the Markdown file for hints. 2 The Analysis 2.1 Plot prices over time (4 points) Plot the prices of each asset over time separately. Succinctly describe in words the evolution of each asset over time. All axes and figures have to be properly labeled and described. (limit: 100 words for each time series). 2.2 Calculate returns and plot returns over time (4 points) Calculate the daily percentage returns of each asset using the following formula: rt = 100 ∗ ln (Pt-1/Pt) Where Pt is the asset price at time t. Then plot the returns for each asset over time. 2.3 Histogram of returns (6 points) Create a histogram for each of the returns series. You have to explain your choice of bins. You will need to carefully label all axes and figures. You are expected to: - Write a short paragraph to describe the trend of each time series; - Discuss the formula to calculate the bins. (Hint: Discuss the formula you use to calculate the bins) 2.4 Summary table of returns (5 points) Report the descriptive statistics in a single table which includes the mean, median, variance, standard devia- tion, skewness and kurtosis for each series. All tables need to be correctly labeled. What conclusions can you draw from these descriptive statistics? 2.5 Are average returns significantly different from zero? (6 points) Under the assumption that the returns of each asset are drawn from an independently and identically dis- tributed normal distribution, are the expected returns of each asset statistically different from zero at the 1% level of significance? Part 1: Provide details for all 5 steps to conduct a hypothesis test, including the equation for the test statistic. All steps have to be shown and this part has to be repeated for each hypothesis test. (1 points) Part 2: Calculate and report all the relevant values for your conclusion and be sure to provide an interpretation of the results. (Hint: you will need to repeat the test for expected returns of each asset) (3 points - one for each stock) Part 3: If you would have done this question using Chat-GPT, what answer will you get? (hints: you will need to describe how you prompt the question in Chat-GPT to guide the answer (1 point), would expect your answer to be different or similar to your answer above and provide your rationale? (1 point)) 2.6 Are average returns different from each other? (7 points) Assume the returns of each asset are independent from each other. With this assumption, are the mean returns statistically different from each other at the 1% level of significance? Provide details for all 5 steps to conduct each of the hypothesis tests using what your have learned in the unit. All steps have to be shown and this part has to be repeated for each hypothesis test. (2 points) Calculate and report all the relevant values for your conclusion and be sure to provide and interpretation of the results. (Hint: You need to discuss the equality of variances to determine which type of test to use.) (3 points) If you have a chance to engage Chat-GPT, how would you approach this question? That is, you need to clearly lay out ALL STEPS that you would ask the question to Chat-GPT. (1 points) Now, compare your answer to Chat-GPT, why do you think your answer is different or similar? Please attach a picture of the screenshot of the answer you have got from Chat-GPT. What do you learn from this exercise? (1 points) 2.7 Correlations (2 points) Calculate and present the correlation matrix of the returns. Discuss the direction and strength of the correlations. 2.8 Testing the significance of correlations (2 points) Is the assumption of independence of stock returns realistic? Provide evidence (the hypothesis test including all 5 steps of the hypothesis test and the equation for the test statistic) and a rationale to support your conclusion. All steps have to be shown and this part has to be repeated for each hypothesis test. 2.9 Advising an investor (12 points) Suppose that an investor has asked you to assist them in choosing two of these three stocks to include in their portfolio. The portfolio is defined by r = w1 r1 + w2r2 Where r1 andr2 represent the returns from the first and second stock, respectively, and w1 and w2 represent the proportion of the investment placed in each stock. The entire investment is allocated between the two stocks, so w1 + w2 = 1. The investor favours the combination of stocks that provides the highest return, but dislikes risk. Thus the investor’s happiness is a function of the portfolio, r: h(r) = E(r) − Var(r) Where E(r) is the expected return of the portfolio, and Var(r) is the variance of the portfolio. Given your values forE(r1 ), E(r2 ), Var(r1 ), Var(r2 ) and Cov(r1 , r2 ) which portfolio would you recommend to the investor? What is the expected return to this portfolio? Provide evidence to support your answer, including all the steps undertaken to arrive at the result. You will need to solve the optinmisation problem using pen and paper, and you need to typeset your answer. You can then scan as picture to attach here as your answer. You can show the summary statistics using the coding learned in class, but the optimisation problem has to be solved by hand. You will need to get your instructors to validate your identity of your work by asking them to sign your work when you complete it. Without their validation, you will automatically get a zero for this question. Note: You will need to typeset your answer. Then, you need to put your name and student ID number on every page (and side) of your work. You will have the instructor to validate your information by signing your answer sheet. Then, you can scan the answer as picture(s) and embed it here as your answer. Submission 1. Submit the pdf output of your completed project to the Turnitin.com link on the BlackBoard site for our unit. i. Keep the sections as they are in this document ii. Ensure that all Figures and Tables are numbered, and have appropriate captions. iii. All your calculations and steps used to produce the results should be included. So include any math- ematical calculations and set echo=TRUE in all of your code chunk headers, including those used to generate figures. 2. Additional details • All results (numbers) should be accurate to 3 decimal places. • Proof-read your report - do not include spelling or grammatical errors.
Lap Project – Deep Learning1. ObjectiveThis experiment aims to help students understand Convolutional Neural Networks (CNNs) and their applications in deep learning by implementing an image recognition model. Students will use the Combined COCO dataset, download link also provided on course Moodle page, for object detection, and complete the entire process of data preprocessing, model training, evaluation, and performance analysis.Note：The project provides a complete project package, according to the following steps to open the script file in VScode or Jupyter Notebook, complete the experiment.ipynb file in the package (download the ML-Project_Autlab.zip from course Moodle page) .2. Integrated development Environment VScode:Follow the following steps if you want to use the Visual Studio Code (VScode) integrated development environment (IDE).Step1:Step2:Step3:Jupyter Notebook:Follow the following steps if you want to use the Jupyter notebook integrated development environment.Step1:Step2:Step3:3. Experiment TasksFigure 1 illustrated the complete framework of the experimental tasks. You need to choose the deep learning model according to your choice. You are required to complete the following tasks:LabeledDataInput EvaluationModeling(Any Deep Learning Model)Satisfied resultsRaw_DataFoodElectronicsMetalPaperPlasticCardboardOutput layer Hidden layers Input layerError validationLoss functionBack propagationN oYesLabelmeFinal PredictionAnnotations EvaluationMetricsScalingFigure 1: A complete framework diagram of the final project of machine learning.(1) Dataset Preparation and Processing• Load and use the COCO dataset for object detection, extracting images and labels for each instance.• Use the MyCOCODataset class to load the data into PyTorch’s DataLoader and perform necessary image processing steps (such as cropping, resizing, and normalization).(2) Model Implementation• Complete the implementation of the deep learning network, adjusting the input and output layers to match the number of classes in the COCO dataset (7 object categories).• Ensure that convolutional layers, fully connected layers, and activation functions (ReLU) are correctly implemented. Make sure the network performs forward propagation properly.(3) Model Training• Train the model using the Cross-Entropy loss function (CrossEntropyLoss) and the Adam optimizer (optim.Adam).• Complete the training process and save the model weights to best_model.pth.(4) Evaluation and Performance Analysis• Load the trained model and evaluate it on the test set.• Compute and output the accuracy of the model on the test set.• Calculate and display the confusion matrix for further analysis of the model's performance on each category.(5) Visualization• Use matplotlib to plot the confusion matrix and analyze the model's prediction performance across different categories.• Observe and discuss the model’s classification results, identifying potential weaknesses and areas for improvement.4. TasksYou are required to complete the following tasks and write a report, which you need to upload to the Moodle. • Data Loading and Processing:o Correctly implement the image cropping, resizing, and other preprocessing steps in the MyCOCODataset class.o Load the COCO dataset and ensure it returns images and corresponding category labels correctly.• Network Implementation:o Complete the implementation of the deep learning model, ensuring it is adapted for the 7-class classification task.o Understand and implement the construction of convolutional layers, pooling layers, and fully connected layers.• Model Training:o Implement the training process for the model correctly, using the Cross-Entropy loss function and Adam optimizer.o Ensure the model can be saved and loaded correctly.• Performance Evaluation:o Evaluate the model on the test set, compute the accuracy, and display the confusion matrix.o Analyze the results and identify how well the model performs on different categories.o Discuss about the comparison between your deep model mechanism and machine learning results (lab4 task).5. Marks Distribution and CriteriaThe submitted report and code will be marks against the following marking criteria.Task Weight DescriptionData Loading and Processing 20%Correctly load the COCO dataset and complete image preprocessing (e.g., cropping, resizing, tensor conversion). Ensure that images and labels match the dataset.Network Implementation 25%Complete the implementation of the deep learning model. Ensure correct configuration of convolutional, pooling, and fully connected layers to fit the 7-class classification task.Model Training 20%Correctly implement the training process using Cross-Entropy loss and Adam optimizer. Ensure the model can save and load weights properly.Performance Evaluation and Comparison25%Evaluate the model on the test set, calculate the accuracy, and plot the confusion matrix. Analyze model performance across different categories including decision tree and deep learning model.Code Clarity and Reproducibility 10%The code should be well-structured, with clear variable names and proper documentation. The experiment should be reproducible.Note that you should include a detailed description of the implementation, results and discussion in of the following parts in your report. • Introduction:• Data Loading and Processing (report and code): This includes correctly implementing image preprocessing steps (cropping, resizing, normalization), ensuring the dataset loads correctly, and the integrity and consistency of data. You should explain the loading and processing parts including some sample outputs in your report.• Network Implementation (report and code): You must complete the model architecture, ensuring each layer is properly defined and matches the task requirements (7-class classification). You are expected to include network diagram and discussion on the proposed model architecture in your report. • Model Training (report and code): Ensure the training process runs smoothly, with the correct use of the loss function and optimizer. The model should be correctly optimized and able to save and load weights. Discuss the model training process including the loss function and optimizer in tour report. • Performance Evaluation and Comparison (report and code): Evaluate the proposed model's accuracy on the test set, plot and analyze the confusion matrix, and discuss the model's performance on different categories including decision tree (from Lab 4) and deep learning model. Also include heatmap confusion matrix plots and the evaluation metrics results of both models on the test set. You are expected to compare the performance of these two models and include a critical analysis of their performance comparison in your report. • Code Clarity and Reproducibility (Code): Ensure that the code is well-structured, easy to understand, and the experiment is reproducible.6. Supplementary MaterialThe following supplementary material is provided in the zip fila on course Moodle page.• Dataset: Combined COCO dataset with images and annotations.• Code: Provided experiment code, including dataset loading, model definition, training, and evaluation.• Environment: Python 3.x, PyTorch as a backend library, and the required deep learning frameworks.7. Report and Code SubmissionYou are required to submit the following items on Moodle before the due date.• A complete PDF report, including all the details listed in section 5, using the following naming format: “GUID_FullName_ML-Report.• A zip folder containing all the code necessary to reproduce the experiment, using the following naming format: “GUID_FullName_ML-Code.
Assignment Remit Programme Title Department of Economics Module Title LM Economics of Financial Markets and Institutions Module Code 07 40063 Assignment Title Individual Project Level LM-Masters Level Weighting 25% Hand Out Date 14/10/2024 Deadline Date & Time 09/12/2024 12pm Feedback Post Date 16th working day after the deadline date Assignment Format Report Assignment Length 750 words Submission Format Online Individual Module Learning Outcomes: This assignment is designed to assess the following module learning outcomes. Your submission will be marked using the Grading Criteria given in the section below. • Portfolio Analysis and Optimization: Students will be able to perform portfolio optimization using Stata, demonstrating proficiency in the practical application of financial econometrics to construct portfolios that meet specific risk-return criteria, including the Global Minimum Variance Portfolio and the Optimal Risky Portfolio. • Critical Evaluation of Financial Models: Develop the ability to critically analyse and interpret the results from financial models such as the CAPM, assessing their implications in the real-world setting of financial markets and institutions. • Data Analysis Skills: Gain hands-on experience in handling real-world data by downloading, analysing, and interpreting financial data from sources like Yahoo Finance, using tools to compute descriptive statistics, correlations, and regression analyses pertinent to financial markets. • Communication of Financial Analysis: Enhance the ability to clearly articulate financial analysis and recommendations through structured reporting, including the proper presentation of statistical data, graphs, and investment strategies in a professional report format. LM Economics of Financial Markets and Institutions Project Report 1 Introduction ● Your report should show the optimal allocation of assets (risk-free and risky assets) based on the optimizations. ● Choose five companies of your choice, making up your portfolio. ● This is an individual project so I expect that you work independently. Please do not choose the same portfolios or report very similar comments; any cooperative work will be penalised. ● You must upload TWO files on Canvas: 1. Your report in Word or PDF format. 2. The Stata do file so that I can replicate your results. ● The report should not exceed 750 words; tables and graphs are not included in the word count. Please include the word count at the top of your document. A penalty of 5 ● The report counts for 25% of the final mark. ● The deadline for submitting the project is clearly indicated on Canvas and on the remit. 2 Report Organization ● You should analyze your data using Stata. During Week 6, which is the assessment support week, the lecture will focus on preparing for the project. A ”do file” containing necessary commands, along with a recording of the Week 6 lecture that explains how to execute these commands, will be available on Canvas in the ’Project’ section. ● The report that you submit should be organized as a literate response to the questions, divided in paragraphs that can be understood by someone who didn’t just read the questions. ● Include your basic numerical results and graphs in your paragraphs along with the ap- propriate analysis and interpretation of them. ● Providing solely the calculations is NOT acceptable. A discussion of your findings, comparisons of the results, possible explanations for any differences found, and finally your recommendations for an investor wanting to hold this portfolio are essential. ● Please edit tables and graphs from Stata before inserting them in the document. ● Tables and graphs should be numbered, have a meaningful title, and an explanatory note at the bottom. ● The significance level of the coefficients must be indicated with an asterisk next to the coefficient, according to the significance level: * 10%, ** 5%, *** 1%. 3 Points to Discuss in the Report 1. Download monthly prices, from January 2014 through December 2023, on the market as a whole and on five individual stocks (for different industries) of your choice from Yahoo Finance. Briefly describe the stocks that you have selected. 2. Graph the time series of the prices. 3. Compute the returns using the closing prices: rt = ln (Pt-1/Pt) × 100 4. Compute descriptive statistics (mean, standard deviation, maximum, and minimum) of the returns and report them in a table. 5. Look at the correlation and report the results in a table with the significance levels. 6. Get the frequency histograms of your returns. 7. Estimate and plot the linear relationship between each of your assets’ returns and the market returns. 8. Estimate the CAPM (reporting the results in a table): E(˜(r)j) = rf + βj [E(˜(r)M) − rf] The annual risk-free rate is 2.4%. 9. Compute the following portfolios and report them in a table (one portfolio per column) indicating the weights, the expected return of the portfolio, the standard deviation of the portfolio, and the Sharpe ratio: ● The Global Minimum Variance Portfolio (GMVP), i.e., the portfolio that lies to the far left of the efficient frontier and is made up of a portfolio of risky assets that produces the minimum risk for an investor. ● Compute four portfolios: three choosing appropriate increments of the required re- turn above the GMVP and one with the maximum return. ● The optimal risky portfolio, i.e., the one at tangency between the efficient frontier and the capital market line. 10. Plot the efficient frontier on a return-risk diagram for a long-only constraint, not for long-short (where short selling is permitted). 11. Plot the optimal risky portfolio tangent to the capital market line. Do so for both a long-only constraint .
FNS60222 Advanced Diploma of Accounting FNSRSK612 DETERMINE AND MANAGE RISK EXPOSURE STRATEGIES Questions Provide answers to all of the questions below. Question 1: Why are the criteria for accepting or rejecting risks considered pivotal in the context of financial products? Question 2: How can an organisation achieve a 95% customer satisfaction score (CSAT) based on post-interaction surveys? Question 3: Explain credit risk, market risk and liquidity risk. Question 4: What factors contribute to the credit risk associated with the personal loan of the borrower with low credit score and inconsistent employment history? Question 5: How can financial statement analysis help in assessing the financial health and stability of a business? Question 6: Discuss the operational risks specific to financial products. Question 7: How do financial capabilities and reserves impact the acceptability of risks associated with financial products? Question 8: Why is it important to critically analyse risk considerations in the business strategic planning process? Question 9: Why is conducting a comprehensive risk assessment crucial in establishing risk acceptance criteria for financial products? Question 10: What are the key considerations when formulating guidelines within delegated authorities to meet an organisation's specific needs and operational requirements? Question 11: Discuss the steps to obtain feedback on risk acceptance strategies, criteria and guidelines. Question 12: How do authority limitations align with risk acceptance criteria for financial products? Question 13: Why is data collection and validation important in the development of capital models? Question 14: List the steps to review the risk profile of operational capital management. Question 15: Write down the key categories of internal operational risks that organisations need to consider in their risk management. Question 16: Discuss the key steps and best practices to effectively undertake internal reporting. Question 17: Outline the procedures that staff should follow to adhere to a risk acceptance strategy effectively. Question 18: Why is effective communication of risk assessment strategies and guidelines crucial in the context of an organisation's risk management framework? Question 19: Explain the key components of effectively monitoring the implementation of a risk acceptance strategy. Question 20: What specific methods or indicators does the organisation use to assess the impact of accepted risks on business performance? Question 21: Why is it important to document and communicate the results of risk assessment and management activities within an organisation? Class Activities: Activity 1: Determining risk assessment strategies for financial products is crucial for ensuring the stability and sustainability of the financial sector. Given the complex and dynamic nature of the financial industry, it is essential to employ robust strategies encompassing various risk dimensions. As a warm-up, write down some points which come to your mind when you think of determining and managing risk exposure strategies. Activity 2: On your own, or with a partner, take a look at the list above. Rank each point in order of importance to you. Then, (if you are working with another person), compare your results with your partner. If you are working alone, use the space below to make some reflections on your list. Points for reflection: 1) Which aspect of determining and managing risk exposure strategies is the most important to you? Why? 2) Which is the least important? Why? 3) Do you think that different aspects may be more or less important to you and to others at different points of the lifespan? Why do you think people’s priorities may change at different points in time? Activity 3: In this activity, you are tasked with preparing a presentation that details the methods for monitoring internal and external losses, reassessing inherent risk, and recalibrating capital requirements. Additionally, the presentation should cover strategies to identify and manage the business and control risk elements within an organisation. Activities 1-3 Answer may vary but student must address the questions according to the following resources: · Learner Guide · PowerPoint presentation · Self-study Guide · Live Training sessions and discussions with trainers/assessors
