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SIMON FRASER UNIVERSITY Faculty of Business Administration COURSE: BUS 336 E100 (Burnaby) TITLE: Data and Decisions II

SEMESTER: Fall 2020

Venues

Lecture (E100): Monday 16:30 – 20:20 in Zoom

Open Labs

Mon 20:30-22:20 in Zoom Tues 19:30 - 21:20 in Zoom Wed 17:30 - 19:20 in Zoom

Gorkem Ozdemir Email: [email protected] Office Hours: TBA

Instructor:

Teaching Assistants: 1. Selcuk Cicek ([email protected]) 2. Mohammed Pasha ([email protected]) 3. Kevin Thomas ([email protected]) Prerequisites: BUEC 232 and MATH 157; 45 credit hours. Required texts Managerial Decision Modelling with Spreadsheets 3rd ed. Balakrishnan,

Render, & Stair. ISBN: 9780130661951. The electronic textbook at the SFU Burnaby bookstore should be priced at approx. $100. Older versions are acceptable for use. Book companion website for example files: https://wps.prenhall.com/bp_balakrishnan_mdms_3/ Recommended text: any introductory statistics textbook. (For example the book you may have used in BUEC232) Required Software: Students should be aware that this course used Excel 2016 extensively. If you do not have Excel 2016, please make sure to sign up for Microsoft 365 for free using the following site: https://www.sfu.ca/itservices/technical/software.html Course description This course introduces quantitative techniques for modeling and analysis of business problems. We will concentrate on frequently used quantitative and decision making models which are applied to management in business and government. The topics include decision analysis, forecasting, linear programming (the allocation and scheduling of resources), simple and multiple regression, simulation modeling. Excel Spreadsheet models are extensively used in this course. Course Website: canvas.sfu.ca Communication: The best way to get extra help in this course is through face-to-face communication during Open Labs or Office hours. Canvas is used for communicating information and disseminating class materials. Please make sure to check your SFU email and the course website frequently. Class materials will often be posted the evening prior to every class. Grading:

Individual Assignments (4)

40% 1 of 3

Quizzes (4) Final Exam

40% 20% 100%

Assignments: Late assignments will not be accepted for marking. Assignments must be done on an individual basis unless otherwise specified by the instructor. Discussion and collaboration among students is encouraged, but on individual assignments, each student must build his or her own computer file and submit his or her own original work. Identical submissions are a form of academic dishonesty and will immediately receive a mark of zero and possibly infringe upon your academic record! Please refer to “Code of Academic Policy – T10.02 – Forms of Academic Dishonesty” [http://www.sfu.ca/policies/teaching/t10-02.htm] Your assignments should be presented with the same quality as you would a piece of business correspondence to your customer or your boss. The neatness and quality of your submission with contribute to your marks.

Final Exam: TBA Makeup Exams or Tests: There will be NO makeup tests, exams or quizzes. If you miss an exam, you will receive zero marks. Exceptions may be considered for documented medical reasons from SFU’s Health Services or extenuating circumstances. In such a case, it is the responsibility of the student to inform the instructor immediately. Notification after the examination date is not acceptable and will result with a grade of zero.

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Course Schedule (Please NOTE that this is a tentative course schedule subject to possible changes in terms of content and timing. No changes will be made to the exam dates without proper notification by the instructor).

Course Schedule

Week

Date

Homework Quiz(tentative, due(tentative, within week within week that begins that begins with that with that class) class)

Topic (Chapter in book)

1

14-Sep Intro to Managerial Decision Modeling (Chapter 1)

2 3

21-Sep Decision Analysis (Chapter 8) 28-Sep Linear Programming (Chapter 2)

4

05-Oct Linear Programming Applications (Chapter 3)

5

12-Oct Thanksgiving (No Class)

6

19-Oct Linear Programming Sensitivity Analysis (Chapter 4)

7

26-Oct Linear Programming Sensitivity Analysis (Chapter 4) Regression Models (Recommended reading in 02-Nov Chapter 12) 09-Nov Forecasting Models(Chapter 12)

8 9

Quiz 1 HW 1

10

16-Nov Forecasting Models(Chapter 12)

11

23-Nov Simulation Models (Chapter 10)

12

30-Nov Simulation Models (Chapter 10)

13

07-Dec Transportation, Assignment (Chapter 5)

HW 2

Quiz 3 HW 3 Quiz 4 HW 4

The schedule is tentative. Depending on our progress some chapters can take longer and therefore we may need to omit the last chapter.

3 of 3

Quiz 2...