Computer Science Question
College of Computing and Informatics Assignment 1 Deadline: 14 /07/2024 @ 23:59 [Total Mark for this Assignment is 15] Student Details: Name: ### ID: ### CRN: ### Instructions: • You must submit two separate copies (one Word file and one PDF file) using the Assignment Template on Blackboard via the allocated folder. These files must not be in compressed format. • It is your responsibility to check and make sure that you have uploaded both the correct files. • Zero mark will be given if you try to bypass the SafeAssign (e.g. misspell words, remove spaces between words, hide characters, use different character sets, convert text into image or languages other than English or any kind of manipulation). • Email submission will not be accepted. • You are advised to make your work clear and well-presented. This includes filling your information on the cover page. • You must use this template, failing which will result in zero mark. • You MUST show all your work, and text must not be converted into an image, unless specified otherwise by the question. • Late submission will result in ZERO mark. • The work should be your own, copying from students or other resources will result in ZERO mark. • Use Times New Roman font for all your answers. Restricted – مقيد Question One Pg. 01 Learning Outcome(s):CLO2 Instructors: Describe advanced Business Intelligence, Business Analytics, Data Visualization, and Dashboards. Question One 3 Marks Create a comprehensive information dashboard for a retail company using Excel. The dashboard should visualize the company’s sales data over the past year, including monthly sales figures, product category performance, and regional sales distribution. Your dashboard should include the following features: • • • • • At least three different types of charts or graphs (e.g., line chart, bar chart, pie chart) to represent the data. Key performance indicators (KPIs) that are relevant to the retail industry. Contextual metadata, such as data sources and last updated date. Alerts/exceptions prioritization to highlight critical issues. Space for business-user comments to add context to the data. Ensure your dashboard adheres to best practices in design, including presenting information in three different levels (monitoring, analysis, management) and validating the design with usability principles. Submission Guidelines: • • Restricted – مقيد Submit your Excel file with the completed dashboard. Provide a brief (300-500 words) accompanying document explaining your design choices, the data represented, and how the dashboard can be used to support decision-making. Question Two Pg. 02 Learning Outcome(s):CLO3 Instructors: Recognize DSS evolution to the current state of analytics and artificial intelligent. Question Two 3 Marks Develop a decision tree to evaluate the expected monetary value (EMV) of three potential expansion strategies for a retail company under different market conditions. Use the following decision alternatives and market conditions: Decision Alternatives: 1. 2. 3. Open a New Store Launch an Online Sales Platform Expand Product Lines in Existing Stores Market Conditions: • • • Strong Growth (probability: 0.4) Moderate Growth (probability: 0.4) Decline (probability: 0.2) Expected Monetary Values (EMVs) for Each Strategy: 1. Open a New Store: o Strong Growth: $500,000 o Moderate Growth: $200,000 o Decline: -$100,000 2. Launch an Online Sales Platform: o Strong Growth: $300,000 o Moderate Growth: $150,000 o Decline: $0 3. Expand Product Lines in Existing Stores: o Strong Growth: $250,000 o Moderate Growth: $100,000 o Decline: -$50,000 Calculate the EMV for each strategy under these market conditions and determine the optimal strategy for the company. Submit a report explaining your analysis and conclusion. Restricted – مقيد Question Three Pg. 03 Learning Outcome(s):CLO4 Instructors: Analyse various industrial applications of DSS and their limitations. Restricted – مقيد Question Three 3 Marks Explain the significance of deep learning and cognitive computing in modern decision support systems, highlighting key concepts, differences from traditional methods, and real-world applications. Question Four Pg. 04 Learning Outcome(s):CLO1 Instructors: Demonstrate an understanding of the concepts of decision analysis and decision support systems (DSS) including probability, modelling, decisions under uncertainty, and real-world problems. Restricted – مقيد Question Four 3 Marks The classical framework of decision support system is usually represented in 3×3 matrix including structured and unstructured decisions, explain only those two mentioning their types of controls and provide some examples of each. Question Five Pg. 05 Learning Outcome(s):CLO2 Instructors: Describe advanced Business Intelligence, Business Analytics, Data Visualization, and Dashboards. Restricted – مقيد Question Five 3 Marks Define the term Analytics and explain its types providing some examples of each.
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