Preliminary and subject to change Follow this link for current version

The evolving pandemic will impact this course. The schedule, locations, and expectations of this course will change when required in order to comply with University policies. The version of the syllabus posted on Github and Canvas announcements will communicate changes as they are required.

Managers rely on accounting information to guide the planning and control process. This course builds on Principles of Accounting II (ACCT 2200) to prepare students to produce and use this information. Topics covered include decision-making techniques, analysis of cost behavior, allocation of common and joint costs, use of cost information in operational and strategic decisions, transfer pricing, and performance measurement, and incentive compensation, with an emphasis on the link between data science and accounting.

By the end of this course, you should be able to:

1. Use real data to make business decisions.
2. Understand both the importance of management accounting for companies’ strategic and operational decisions and the pitfalls of misusing management accounting information and techniques.
3. Solve problems arising in business planning, with the aid of mathematical and statistical tools.
4. Evaluate various techniques for control and performance evaluation in a decentralized environment, and provide recommendations for an effective control system.
5. Understand how managerial and financial accounting relate to data analytics, data science, and business intelligence.

The course will also provide you with opportunities to:

5. Think through a variety of business problems.
6. Demonstrate team-work and leadership skills in solving operational and strategic planning problems.
7. Demonstrate communication skills through team work, and class discussions.

Required textbook: Horngen’s Cost Accounting: A Managerial Emphasis (17th Ed.), by Srikant M. Datar, and Madhav Rajan. Pearson Education Inc.

• The course is taught in the form of lectures, group exercises and discussions, and group case studies (with student presentations).
• Students are required to attend all classes and participate in class discussions and exercises.
• Readings and discussion problems for each class are assigned in advance. It is important that students read the assigned chapters and problems beforehand so that class time can be used efficiently.

This is a real time course; however, the conduct of the course will be updated as the University instructs. Thus, according to current instructions note the following:

1. The course will conducted on-line (via Zoom).
2. Attendance in real-time, with video on is required. Note: That asynchronous attendance via video is allowed during Spring Semester 2022.
3. Recordings of the course will not distributed, except in exceptional cases. As noted Spring Semester 2022 is considered an exceptional case

Student participation is essential to the success of this course, items 2 & 3 above are included to this end.

1. Attendance and participation. Students are required to attend all classes and arrive on time. They are strongly encouraged to participate in discussions and other activities during classes. It is the spirit of participation that is valued, and students are not penalized for saying something incorrect. On the other hand, talking among students and other behavior that can cause disturbances to the class are not permitted. Video is required during Zoom classes. Exception for asynchronous attendance in March 2022

2. Practice / Homework problems. Solving problems is the best way of mastering the material covered in class. I encourage you to solve at least the recommended problems (see Appendix I) but will not collect them. You are also encouraged to do additional practice while preparing for the examinations. The solutions to all problems at the end of each chapter will be posted on Canvas under "Files".

3. Group assignment: Groups membership and leadership will be randomly assigned for each group assignment. During the add/drop period, groups will be posted on canvas by the night before the assignment. This ensures that the groups are based on the current enrollment of the course. After the add drop period passes groups will be assigned one week before each group assignment.

4. Group exercises and case studies. There are approximately 5 to 8 group assignments, for which students are required to submit answers in groups, most often these will be Google docs to be submitted via Canvas. All group assignments are equally weighted and each individual group member’s worst (or missing) performance of the group assignments will not be included in calculating total marks. The group leader is responsible for coordinating and submitting the group's work. Please notify the TA immediately if you are unable to establish contact with group members.

5. Examinations. The midterm examination is scheduled from 7:00pm to 9:00pm, Tuesday, April 12, 2022 via Zoom. Note: Change to accommodate proposed mass COVID testing.

All students are required to take the midterm exam at this pre-scheduled time, and there will be no make-up exam for it. Students absent from the midterm exam will receive zero mark for this component, except for highly unusual circumstances that cannot be controlled and avoided by the student---in which case the grade weight on the midterm exam will be loaded to the final examination component.

6. Academic honesty. It is important that students follow university regulations on academic integrity and honesty. Academic dishonesty is super lame and will not be tolerated and will be dealt with in accordance with university rules, which can be accessed at http://www.ust.hk/vpaao/integrity.

| Exam | Date | Time | Location | Sessions Covered | | --- | --- | --- | --- | | Mid-Term | April 12, 2022 | 19:00 - 21:00 | Zoom & Canvas | 1-116 | | Final | TBA | TBA | Zoom & Canvas | 1-24 |