FACULTY OF BUSINESS AND ECONOMICS ACCT3112 – Accounting Data Management and Analytics

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Programme Learning Outcomes PLO1: Acquisition and internalization of knowledge of the programme discipline PLO2: Application and integration of knowledge PLO3: Inculcating professionalism and leade... rship PLO4: Developing global outlook PLO5: Mastering communication skills This study source was downloaded by 100000849847893 from CourseHero.com on 07-15-2022 08:03:25 GMT -05:00 https://www.coursehero.com/file/27988984/ACCT3112-2A-Accounting-Data-Management-and-Analytics-Dr-Prasanna-Karhadpdf/COURSE LEARNING OUTCOMES Course Learning Outcomes Aligned Programme Learning Outcomes CLO1. Solve business problems using data analytics. CLO2. Understand value of data in accounting and how accountants can benefit from analytics. CLO3. Understand techniques to discover and interpret anomalies (outliers) in accounting data. CLO4. Understand how to use analytical methods for forecasting of time series accounting data. CLO5. Create visualizations of data to provide managerial insights and interpretations. PLO1, 2, 3, 4 PLO1, 2, 3, 4 PLO1, 2, 4 PLO1, 2, 4 PLO2, 4, 5 COURSE TEACHING AND LEARNING ACTIVITIES Course Teaching and Learning Activities Expected contact hour Study Load (% of study) T&L1. Lecture with interactive presentation 36 hours 30% T&L2. Assignments and e-forum discussions 12 hours 10% T&L3. Case-based study and project related data collection and analysis 30 hours 25% T&L4. Self-study and preparation 42 hours 35% Total 120 hours 100% Assessment Methods Brief Description (Optional) Weight Aligned Course Learning Outcomes A1. Written assignments Assignments to analyze data-driven problems 30% CLO1, 2, 3, 4, 5 A2. Participation Participation to discuss topics for clarifying the understanding of analytics concepts 10% CLO1, 2, 3, 4 A3. Group project presentation Case study for analysis and synthesis of the chosen issues of the group project 10% CLO1, 2, 3, 4, 5 A4. Midterm examination(s) Examination(s) enabling students to demonstrate most of the stated CLOs 20% CLO1, 2, 3, 4 A5. Case-based analysis (group project) Analysis of a live case enabling students to demonstrate the stated CLOs 30% CLO1, 2, 3, 4,5 Total 100% STANDARDS FOR ASSESSMENT Course Grade Descriptors A+, A, A- ● Demonstrate a strong understanding of all relevant knowledge ● Handling questions professionally ● High participation in discussions and volunteering answering/asking questions ● Present arguments that have an element of originality ● Achieve a standard of excellent performance in the exams with very accurate computation and very good analytical and problem solving skills This study source was downloaded by 100000849847893 from CourseHero.com on 07-15-2022 08:03:25 GMT -05:00 https://www.coursehero.com/file/27988984/ACCT3112-2A-Accounting-Data-Management-and-Analytics-Dr-Prasanna-Karhadpdf/● Excellent writing report and presentation B+, B, B- ● Demonstrate a good understanding of all relevant knowledge ● Handling questions in a logical way ● Good participation in discussions ● Present arguments that go beyond the lecture and textbook ● Achieve a standard of good performance in the exams with accurate computation and good analytical and problem solving skills ● Good writing report and presentation C+, C, C- ● Demonstrate a basic understanding of the concepts involved ● Fairly address questions as set ● Some participation in discussions ● Present arguments in a well-structure manner ● Meet a standard of acceptable performance in the exams with reasonably accurate computation and acceptable analytical and problem solving skills ● Acceptable writing report and presentation D+, D ● Demonstrate a minimum understanding of the concepts involved ● Barely address questions as set ● Minimal or no participation in discussions ● Present arguments in a marginally acceptable manner ● Meet a standard of marginally acceptable performance in the exams with some errors in computation and barely adequate analytical and problem solving skills ● Marginally acceptable writing report and presentation F ● Demonstrate a poor understanding of the concepts involved ● Unable or unwilling to handle questions ● Minimal or no participation in discussions ● Present arguments poorly ● Fail to meet a standard of passing the exams with major errors in computation and inadequate analytical and problem solving skills ● Poorly writing report and presentation Assessment Rubrics for written group projects, assignments and exams: A+, A, A- ● Demonstrate a strong understanding of all relevant knowledge ● Present arguments that have an element of originality ● Achieve a standard of excellent performance in the assessments with very accurate computation and very good analytical and problem solving skills ● Excellent writing report and presentation B+, B, B- ● Demonstrate a good understanding of all relevant knowledge ● Present arguments that go beyond the lecture and textbook ● Achieve a standard of good performance in the assessments with accurate computation and good analytical and problem solving skills ● Good writing report and presentation This study source was downloaded by 100000849847893 from CourseHero.com on 07-15-2022 08:03:25 GMT -05:00 https://www.coursehero.com/file/27988984/ACCT3112-2A-Accounting-Data-Management-and-Analytics-Dr-Prasanna-Karhadpdf/C+, C, C- ● Demonstrate a basic understanding of the concepts involved ● Present arguments in a well-structure manner ● Meet a standard of acceptable performance in the assessments with reasonably accurate computation and acceptable analytical and problem solving skills ● Acceptable writing report and presentation D+, D ● Demonstrate a minimum understanding of the concepts involved ● Present arguments in a marginally acceptable manner ● Meet a standard of marginally acceptable performance in the assessments with some errors in computation and barely adequate analytical and problem solving skills ● Marginally acceptable writing report and presentation F ● Demonstrate a poor understanding of the concepts involved ● Present arguments poorly ● Fail to meet a standard of passing the assessments with major errors in computation and inadequate analytical and problem solving skills ● Poorly writing report and presentation Assessment Rubrics for participation: A+, A, A- ● High participation in discussions ● Always attend in-class discussions ● Demonstrate a strong understanding of all relevant knowledge ● Handling questions professionally ● Present arguments that have an element of originality ● Respect others and follow the class rules (no chatting and do not use cell phone) B+, B, B- ● Good participation in discussions ● Often attend the in-class discussions ● Demonstrate a good understanding of all relevant knowledge ● Handling questions in a logical way ● Present arguments that go beyond the lecture and textbook ● Respect others and follow the class rules (no chatting and do not use cell phone) C+, C, C- ● Some participation in discussions ● Sometimes attend the in-class discussions ● Demonstrate a basic understanding of the concepts involved ● Fairly address questions as set ● Present arguments in a well-structure manner ● Respect others and follow the class rules (no chatting and do not use cell phone) D+, D ● Minimal or no participation in discussions ● Rarely attend the in-class discussions ● Demonstrate a minimum understanding of the concepts involved ● Barely address questions as set ● Present arguments in a marginally acceptable manner This study source was downloaded by 100000849847893 from CourseHero.com on 07-15-2022 08:03:25 GMT -05:00 https://www.coursehero.com/file/27988984/ACCT3112-2A-Accounting-Data-Management-and-Analytics-Dr-Prasanna-Karhadpdf/● Respect others and follow the class rules (no chatting and do not use cell phone) F ● Minimal or no participation in discussions ● Almost never attend the tutorials and in-class discussions ● Demonstrate a poor understanding of the concepts involved ● Unable or unwilling to handle questions ● Present arguments poorly ● Behave poorly in class (often chatting with others, using cell phones, or being late) COURSE CONTENT AND TENTATIVE TEACHING SCHEDULE 1. Course overview: what is data analytics and how is it important to accountants? 2. Brief overview of sources of time series accounting data 3. Basic analysis, and data visualization 4. Time series forecasting analytics for accounting data 5. Smoothing techniques for time series forecasting analytics for accounting data 6. Regression-based, tree-based techniques for time series forecasting and classification of accounting data 7. Course summary: Review and group project presentations REQUIRED/RECOMMENDED READINGS & ONLINE MATERIALS Recommended Teaching Material: [Show More]

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