MANAGERIAL DECISION ANALYSIS (Business 260)
BBC 021 at
Three
major analytical tool sets for managers are developed, including: decision
trees, forecasting, and linear programming.
Also covered are simulation, project management, queuing, and game
theory. The goal of the course is to
develop quantitative skills that can be applied to business functions such as
marketing, finance, and management. A
statistics class is a prerequisite.
Instructor: G. Kent Webb, Email:
webb_k@cob.sjsu.edu Phone:
Office:
BT-253. Office hours: Monday 5 to
Recommended Text:
Quantitative Decision Making with Spreadsheet Applications, Lapin and Whisler,
seventh edition.
B260
Schedule
|
Meeting |
Chapter |
Topic and Example Problems. ** Indicates material that will be distributed in class. Links marked PP are PowerPoint summaries of the chapters. Text versions are in the Chapter column. Numbered problems are from the book. |
|
8/27 |
1,2,3,4 |
Chapter
1,2,3,4 review of probability and statistics**. Chapter 3 (14,
15, 18, 35, 39, 40). Chapter 4 (12,
20, 21, 29, 30, 34). Review of Confidence Intervals and Hypothesis
Testing**. |
|
9/3 |
|
Labor
Day |
|
9/10 |
Decision-Making Concepts (PP), Mind Tools Example, Wikipedia, Example problem. (1,4,15,16,21,22,23,24,
C5-1)**. Decision
Tree Primer (PDF) (This is just for review). Case 1 distributed** |
|
|
9/17 |
Decision Theory and Risk (PP). (1,2,3,7,11,12,13,15,21)**
Case 2 distributed**. Risk Article (doc) Black-Scholes
Article (PDF). Payoff
Goal Article . Hand in case 1. |
|
|
9/24 |
18, 7** |
Chapter 18
Simulation Chapter
7 Forecasting (PP). (1,3,5,7,12,13,20,21)** Case 3 and Case 4
distributed. Hand in case
2. |
|
10/1 |
|
Forecasting
continued. How
to load and use regression in Excel, Interpreting
Excel Regression, Interpreting
Regression. Hand in case 3. |
|
10/8 |
|
Review for exam. Chapter 5 Review Questions Answers
to Review Questions. Answers
to textbook problems for chapters: 5, 6, 7. Answers to
Decision Tree Primer Problems from 9/10 (has some extra chapters
also). Hand
in case 4. |
|
10/15 |
|
EXAM 1 (Chapters: 5, 6, 7 and some assigned
readings) |
|
10/22 |
Linear Programming (PP).
(2,3,4,5,7,9,10,15,17,18)** Case 5 distributed ** Chapter 8 Review Problems. |
|
|
10/29 |
Linear programming
continued (PP). (1,2,4,5,7,9,13,14,1518,C9-3)**,
Project
Proposals due. |
|
|
11/5 |
|
Lucas Lecture, Meet in Barret Ballroom on
the second floor of the Student Union building (same building as the bookstore). Carl Buardino, |
|
11/12 |
|
Veteran’s Day Holiday |
|
11/19 |
|
Linear Programming continued. Chapter 9 Review
Problems. Case 6
distributed**.
Hand in case 5. |
|
11/26 |
Chapter 14: Project Management (PP). Example Problem
(PP), (4, 5,
8, and review problems)** Case 7 distributed**. Hand in case
6. Optional Presentations |
|
|
12/3 |
17** |
Chapter 17: Waiting Lines (PP) (2, 8, 9,
10) Optional Presentations. Hand in case 7. |
|
12/10 |
|
Optional
Presentations. Review for
final. Sample
exam questions. |
|
12/17 |
|
Exam II (Chapters
8, 9, 14), Projects
due. Exam stars at 5:15, but you can start at 6
also. |
Requirements: Two
exams, seven case studies, a paper or project, and participation in evaluation
of presentations.
|
Grading |
Points |
|
Two exams (100 points each) |
200 |
|
Seven case studies (5 each) |
35 |
|
Paper or project |
100 |
|
Total |
335 |
Guidelines
for Course Requirements: exams are based on the assigned textbook problems, example
problems, cases and some readings that will be posted online. Be able to write a short answer summary of
the readings.
The
paper or project can be a case study based on personal experience, an
application related to work, or a standard research paper. It can be done
individually or in a group. A written
proposal of a paragraph or two written in memo form is due by 10/29. The final
report should describe the problem, the data used, and the results with supporting
analysis and graphics. Alternatively, the project can be presented to the
class.
Expected
grade distribution: 95 – 100, A; 90 –
94, A-; 87 – 89, B+; 82 – 86, B; 80 – 81, B-.