QUEENS COLLEGE OF THE CITY UNIVERSITY OF NEW YORKDEPARTMENT OF ACCOUNTING AND INFORMATION SYSTEMS

ACCOUNTING 306 Quantitative Techniques in Planning, Controlling, and Decision Making

Prof. Michael StevensOffice: Powdermaker Hall—Room 215 K

Office Hours: Mon. 1pm-2pm & 6:50pm-7:50 pm (call 997-5085 if door is locked)E-mail: profmstevens@aol.com

Fall 2015

REQUIRED TEXTS: Managerial Accounting, 15th edition, Garrison, Noreen, Brewer; McGraw-Hill, 2015, ISBN # 978-1-308-519746, (published in a custom edition for Queens College, for Accounting 305 and 306).

Philosophy: This problem-solving, applications-oriented course is to provide you with a sound conceptual understanding of the role that abstract and quantitative reasoning plays within managerial accounting. Accounting 306 is primarily concerned with the accumulation and analysis of relevant information for internal use by an economic entity’s management. It introduces various quantitative techniques from management science along with topics from accounting and finance, some of which can be applied in computerized spreadsheet models, to assist in planning, controlling and decision making.

Projects: [3] (10%): There are three required computer projects involving Excel that will be discussed in class. In addition to a penalty of 50% for lateness, none of these projects will be accepted after the last class meeting, resulting in zero credit for the missed project(s). The projects will relate to linear programming (4%), time series analysis (3%), and regression analysis (3%). These projects must be completed and submitted individually. Don’t staple different projects together when submitting them. Make sure that your name is on each project.

Tests: [3] (90%): There will be three (3) equally weighted non-cumulative tests (including the final). Class participation: The tests will emphasize what is covered in class so consistent attendance is strongly recommended. Note: If any student has special considerations regarding taking tests, please let me know as soon as possible. (See note below regarding the Americans with Disabilities Act.) Each class combines lectures with probing questions to encourage a lively class discussion and to enhance student learning. Participation is encouraged and, if consistent and ongoing throughout the semester, may improve a student’s final grade depending upon the individual circumstances of each student.

Academic integrity: Academic dishonesty in any form including plagiarism, attempting to pass off other students’ work as your own, cheating or attempting to

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cheat during an exam can lead to severe penalties. Academic dishonesty is prohibited in The City University of New York and may result in such penalties as failing grades, suspension, and/or expulsion as provided at: http://web.cuny.edu/academics/infocentral/policies.html.

Americans With Disabilities Act:Students with disabilities needing academic accommodation should: (1) register with and provide documentation to the Special Services Office, Kiely 171; (2) bring a letter to the instructor indicating the need for accommodation and what type. This should be done during the first week of classes. For more information about services available to Queens College students contact: Mirian Detres-Hickey, Ph.D., Special Services Office; 171 Kiely Hall; 718-997-5870 (8:00 a.m. to 5:00 p.m.). Email address: mirian.detreshickey@qc.cuny.edu More information is available on this website: http://sl.qc.cuny.edu The syllabus is on Blackboard under “course information.” Homework assignments, not detailed here, will appear under “assignments” on Blackboard. Any modifications to syllabus topics or assignments will be announced in class and on Blackboard.

I / Introduction to Decision Making, Cost Classification and Mathematical Modeling Chapt. 2: pp. 33-38. One problem on Blackboard.

II/ Variable Costing Chapt. 2: pp. 44-45; Chapt. 6: pp. 233-243. Questions: 6-1, 6-2, 6-4, 6-5, 6-6 & 6-7. Exercises: 6-6 & 6-9.

III/ Segmented Reporting and Performance Evaluation Chapt. 6: pp. 244-254. Questions: 6-11, -12, -13, -14, & -15. Exercises: 6-4 and 6-7.

IV/ Cost-Volume-Profit Relationships Chapt. 5. Questions: 5-3, -4 & -7. Exercises: 5-5, -6, & -8. 4 problems on Blackboard. V/ Tactical (Differential) Decision Analysis Chapt. 12. Questions: 12-1, -2, -3, & -6. Exercises: 12-2 (part one only), -3, -4, & -7. One problem on Blackboard. ***TEST 1***

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VI/ Linear Programming Print diagram of my class example’s feasible region from Blackboard and bring it to class. Two problems on Blackboard. Also, there is a cost minimization example on Blackboard. Please print for class discussion.

VII/ Linear Programming (Spreadsheet focus) Application of Excel’s Solver add-in and a computer project will be discussed in class. Bring to class the computer demo example placed on Blackboard. VIII/ Decentralization: ROI, RI, EVA, and Transfer Pricing Chapter 11: pp. 477-486; Appendix 11A: pp. 512-519. Questions: 11-4, -5 & -6. Exercises: 11-1, -2, -6, & -13. Three problems on Blackboard. IX/ Time Series Forecasting Application of Excel’s Solver and a computer homework project will be discussed in class. Please print from Blackboard and bring to class data for the lecture’s example. X/ Regression Analysis Chapt. 2: pp. 38-43; Appendix 2A: pp. 67-69. Application of Excel’s Regression tool and a computer homework project will be discussed in class.

***TEST 2***

XI/ Capital Investment Decisions Chapt. 13 and Appendixes 13A, B & C (pp. 621-631). Problems and solutions will be posted on Blackboard. XII/ Decision Analysis I (Discrete probability; expected value criterion) Homework problems to be distributed via Blackboard. XIII/ Decision Analysis II (Non-probabilistic decision making theory)

XIV/ Inventory Management (EOQ and Reorder Point) Homework problems to be distributed via Blackboard.

***FINAL EXAM***

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