HKUST Department of Accounting

Spring 2025 Syllabus

Preliminary until the semester begins, and the registrar confirms exam dates and locations. Please follow this link for the current version.

Instructor

Dr. Arthur Morris
Email: acarthur@ust.hk
Office Hours:

Teaching Assistant

Ms. Chloe Tay
Email: actaychloe@ust.hk

Class sessions

Section Days Time Location
L1 Tue & Thur 12:00-13:20 2404
L3 Tue & Thur 13:30-14:50 2404
L2 Tue & Thur 16:30-17:50 LSK1014

Course description

Managers rely on accounting information to design and implement control systems. This course builds on Principles of Accounting II (ACCT 2200) to prepare students to produce, evaluate, and use this information and these systems. 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 using data science to bring accounting information into the decision process.

Course Objectives

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

  1. Understand both the importance of management accounting for companies’ strategic and operational decisions and the pitfalls of misusing management accounting information and techniques.
  2. Understand the resource bargain that arises in organizations, and how accounting information can be used to manage this bargain.
  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:

  1. Use data to make business decisions.
  2. Think through a variety of business problems.
  3. Demonstrate communication skills through class participation and case discussions.

Course Materials

The materials that you need to prepare for each session will be provided via the Canvas site. Presentation slides, and resources, will be posted on the course website.

Optional Textbook

Accounting For Decision Making and Control 10e

Any format, any addition. “Connect” is not required. Many course assignments are based on this text, but all the materials that you need will be provided though the course canvas site.

Course Structure and Mode of Instruction

   
Mode of Instruction: The course will be conducted in-person and will involve class participation.
Lectures and Cases: Class discussions will involve both lectures and cases. Case discussions will occur on days when the cases are assigned in the course schedule below.
Preparation for Class: Students should prepare for class by completing the assigned reading and problems or case. All assignments and cases are due at 18:00 (6:00 PM) the evening before class.
Video Recordings: No recordings of this class will be distributed. This is to facilitate class participation.
Canvas: Assignments will be turned in via Canvas, and I will use canvas to send updates. Please note that the course website, and not Canvas will host the slides and syllabus. Also note that canvas will track the unweighted points for the course.
Communication: All questions about lecture content should be submitted in the canvas forum for the lecture, and will be addressed either in review sessions or in the forum posts. Other questions should be addressed to the T.A. via email with “ACCT 3210” and your section in the subject line.

Grading

Grading Scheme

Description Weight
Class Participation 16%
Cases & Problems 16%
Midterm 18%
Final Exam 50%
Total 100%

Class Participation

Class participation scores will be based on attendance, you are expected to attend the section for which you are registered. Attendance will be taken using iPRS, supplemented by in-person cold calling. Please note that indicating that you are in attendance when you are not physically in the classroom is dishonest, and will be treated as academic misconduct.

I will begin counting attendance on the 18th of February (i.e. after the end of the add/drop period), but we will use iPRS in class each day to ensure that all students understand how it works, and to facilitate interactive learning. In the grading scheme above, the 16% awarded based on class participation will be allocated as follows:

Classes Missed Percent Awarded
1 100%
2 92%
3 73%
4 36%
5 0%

Support for Interviews and Internships

Many students will have to miss class in order to pursue valuable opportunities, such as job interviews and internships. The following policy is intended to support students progress while maintaining the integrity of this course as an in-person synchronous exercise.

Students may get participation credit for one absence missed due to interviews, internships, and similar opportunities, by submitting a short essay (500-750) words discussing how one of the lectures relates to the work you are doing or will do. Please note that while this essay is short and will be graded based on completion, I expect concrete detail about both the lecture and the organization that you are describing. If the essay is overly general (i.e. the discussion could apply to any organization or lecture) I may ask for a more detailed revision of the essay. These essays are to be submitted to the TA via email with me in CC by the 29th of April.

Note on the use of LLM/GPT output for this assignment: You may prepare this assignment however you wish; however, my expectations for the level of detail about this course and the opportunity you are pursuing are unlikely to be amenable to generation by any model trained on the general corpora used in the production of current widely used tools, without carefully engineered prompts. If you do use these resources I would like to know for my own enlightenment.

Cases & Problems

Cases and problems will be due at 1800 the night before the class in which they are discussed. All assignments should be submitted in the formats specified in Canvas, and are graded on completion only. Students who miss assignments because they add the course after the start of the semester may turn in any of the assignments they miss until the first exam without penalty.

Feedback on Cases and Problems: I will provide detailed discussion of the problems in class after they are due, this feedback will help you prepare for the examination. Please raise questions in the class discussion, or via the canvas discussion. This ensures that all students have access to the same information as they prepare for the exam.

Exams

Exams will be conducted in-person and will be closed book.

  • Midterm Exam:
    • The exam is closed book and communication with others is cheating and not allowed. 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. Solutions to the midterm exam will be reviewed in class.

    • Feedback on Midterm Exam: I will discuss each problem from the midterm exam, as scheduled below, so that you have a chance to prepare for the final exam.
    • Mid-term Exam Conflicts: Every semester a few students have conflicting mid-term exams. Please let the TA know if you have a conflict and we will make arrangements.
  • Final Exam:

    • The exam is closed book. Communication with others, use of any resources not provided in the exam is cheating and not allowed.
    • All students are required to take the final exam at this pre-scheduled time, and there will be no make-up exam.
    • Students absent from the final exam will receive zero mark for this component.
  • You will need to present your student ID to take your exam.

Grading Scale

Points on all work will be weighted as shown above and graded as shown here:

Grade %
A+ 97.00% - 100%
A 93.00% - 96.99%
A- 90.00% - 92.99%
B+ 87.00% - 89.99%
B 83.00% - 86.99%
B- 80.00% - 82.99%
C+ 77.00% - 79.99%
C 73.00% - 76.99%
C- 70.00% - 72.99%
D 60.00% - 69.99%
F Below 60.00%

Course Schedule and Outline

The contents of this course are divided into three sections: (1) Tools, (2) Theory, (3) Cost Allocation. The midterm will cover sections (1) and (2), while the final exam will cover all three sections.

Section 1 will cover the fundamentals of data and analytical analysis needed to apply the ideas of managerial accounting to actual business data and decisions. Section 2 will cover classic ideas like the time value of money, and tax strategy, with an emphasis on how incentives and strategies vary across individuals and over time. This section will also emphasize the incentive conflicts that arise throughout organizations, and how organizations can be designed to manage these problems. Finally, Section 3 will present cost allocation as a way to either solve or cause the incentive problems introduced in Section 2, and as an application of the tools presented in Section 1.

  Section 1: Tools
1. 4 Feb. Expectations and Conceptual Framework
Read: Zimmerman, Ch 1
  Introduction to Management Accounting (class note)
Survey: Pre-class survey (in canvas)
2. 6 Feb. The Nature of Costs
Read: Zimmerman, Chapter 2
Problem: P1: Cost in a Multiproduct Firm
3. Feb. 11. Cost estimation (regression)
Read: Cost behavior (class note)
Problems: P2: Data Collection Issues I
  P3: Data Collection Issues II
  No Class 12 Feb.
4. 13 Feb. Constraints and (non-)linear programming
Problem: P4: Cost in a Multiproduct Firm Part 2
  Note: Add/Drop Period ends on 15 Feb.
5. 18 Feb. Solving Linear Programs
Problems: P5: Shadow Prices, Component Searches, and Product Cost
  P6: Ava Catering
  P7: Builder of Garages and Sheds
6. 20 Feb. Comprehensive review
Survey: Submit review topics for in-class discussion
  Section 2: Theory
7. 25 Feb. Time Value of Money and Capital Budgeting
Read: Zimmerman, Chapter 3
Case: Case: Special Electric Case read before class
8. 27 Feb. Taxation of returns
Read: Before- and After-tax Returns (class note)
  Taxable versus Tax-exempt Bonds (class note)
Problem: P8: Alternative Savings Vehicles
9. 4 Mar. Tax Shields and Real and Financial Assets
Read: Net-of-tax returns on real and financial assets (class note)
  Note: No problems are due today
10. 6 Mar. Economics of Agency
Read: Zimmerman, Chapter 4
  Incentives and Managerial Compensation (class note)
11. 11 Mar. Organizational Architecture
Problems: P10: 4–18 Rothwell
Survey: Submit review topics for in-class discussion
12. 13 Mar. Mid-term Review
  in class.
18 Mar. Midterm No class
  1800-1900, location TBA
  See Canvas for room assignments.
  Section 3: Cost Allocation
13. 20 Mar. Responsibility Accounting and Transfer Pricing
Read: Zimmerman, Chapter 5
14. 25 Mar. Transfer Pricing: Additional Considerations
Case: Case: Vik-Giger Corporation read before class
15. 27 Mar. Exam paper review _In class only.
  Mid-Term Break No class Monday and Wednesday.
16. 8 Apr. Cost Allocation: Theory
Read: Zimmerman, Chapter 7
Read: Zimmerman, Chapter 8
17. 10 Apr Modern Cost Allocation
Read: Chapter 8 Appendix A
18. 15 Apr. Absorption Costing Systems
Read: Zimmerman, Chapter 9
Problems: P11: 9–9 DeJure Scents
  P12: 9–24 Kitchen Rite
19. 17 Apr. Absorption Costing Problems
Read: Zimmerman, Chapter 10
Problems: P13: 10–8 Aspen View
  P14: 10–11 Kothari Inc.
  P15: 10–17 Navisky
20. 22 Apr. ABC
Read: Zimmerman, Chapter 11
21. 24 Apr. Budgeting
Read: Zimmerman, Chapter 6
22. 29 Apr. Standard Costs and Variances
Read: Zimmerman, Chapters 12 and 13
  No Class on May 1
23. 6 May. TBA
24. 8 May. Final Review in class
Survey: Submit review topics for in-class discussion
TBA Final Exam

Compliance Section

Mandated Policy on “Artificial Intelligence”

The use of any of the tools commonly referred to as “AI” in the graded assessments of this course is covered by the prohibition on the use of outside resources. In order to comply with the HKUST CEI policy on Generative Artificial Intelligence this should be interpreted as a prohibition on the use of these tools in the exams.

Students are encouraged to use whatever tools they find most effective in preparation for the exams and for completion of the assignments. As the assignments are graded only on completion no further restrictions apply.

Mapping “Assessment Tasks” to “Intended Learning Outcomes”

The HKUST CTLQ has helpfully advised that:

“With a clearly stated criterion-referenced model that includes the CILOs, assessment components and the rubrics on the syllabus, it is expected that misunderstanding about the assessment model would be minimized where both instructors and students may enjoy the transparency of the necessary course information.”

The “Assessment Tasks” listed in the “Grading Scheme” section above map to the course objectives, which I will refer to as “ILOs” to match the usage in the syllabus template approved by CTLQ, as follows:

Assessment Task ILO Explanation
Class Participation ILO 6-8 Class participation offers students the opportunity to demonstrate communication skills, and to think through a variety of business problems.
Cases & Problems ILO 1-7 The content of the cases and problems is designed to cover the content of the course while addressing ILOs 1-7.
Midterm ILO 1-7 The midterm exam will cover the content of the course, and will be designed to test the students’ understanding of the material with respect to ILOs 1-7.
Final Exam ILO 1-7 The midterm exam will cover the content of the course, and will be designed to test the students’ understanding of the material with respect to ILOs 1-7.

Acknowledgements

Like Bob Dylan, this course was born a long way away from where it’s from, but the starting point was reading Joel Demski’s Managerial Uses of Accounting Information, Zimmerman’s Accounting for Decision Making and Control, and reviewing Steve Huddart’s excellent Accounting 440 taught at Penn State. The course has Similarities to those approaches are absolutely intentional, and any shortcomings are my attempts at innovation.