CALIFORNIA STATE UNIVERSITY, STANISLAUS

COLLEGE OF BUSINESS ADMINISTRATION

MANAGEMENT, OPERATIONS, & MARKETING DEPARTMENT

 

 

CBA Mission Statement

The CSU, Stanislaus College of Business Administration is a publicly-supported, regional teaching institution.  Our mission is to deliver a professional business education that provides our students with the knowledge and skills to succeed in the business world and in society.


 

Course Number (3 Credit Hours):                                        OM 3020-03

Course Title:                                                                          Management Science
Term:                                                                                      Spring 2006

Prerequisites:                                                                         Computer literacy (such as CIS 2000); MATH 1500, 1610 (may be taken concurrently), Jr. Standing

Instructor Information:                                                          Dr. Nael Aly

Office:                                                                         PSB, Room #223A

Phone:                                                                         (209)667-3149/3507

Office Hours:                                                             TR 11:00-12:00PM

W 8:30-11:30AM

Fax:                                                                             (209) 667-3210

E-mail:                                                                        naly@csustan.edu

Homepage:                                                         http://mom.csustan.edu/naelaly/

 

Required Text:
Introduction to Management Science, 8th Edition, by Taylor (2004).

Computer Lab
Every student enrolled in this class MUST enroll in either Lab 5 (OM 3022-1), which is scheduled from 2:30 PM to3:28 PM on Tuesday, or Lab 6 (OM 3022-2), which is scheduled from 2:30 PM to3:28 PM on Thursday, in order to get full credit for the course.
                      

Course Learning Objectives:
Primary:

1.         Provide the student with an understanding of different quantitative techniques and their applications in solving real life and management problems.  (5a)

2.         Learning the philosophy of approaching any business problems in a logical, consistent, and systematic manner.  (5a)

3.         Improve students’ rational thinking, problem solving and decision making abilities. (5a)

4.         Use analytical modeling and computer information technology to support business related activities.  (5c)

5.         Gather, synthesize and use information.  (5b)


Secondary:

1.         Work effectively as a member of a team to define, analyze and solve business problems. (1e)

2.         Prepare a cohesive, coherent, and well-written document.  (1b)

 

Course Description
Use of quantitative techniques to analyze and solve business problems; topics include linear programming, decision analysis, network models, project management, forecasting, inventory and queuing analysis. Computer applications in management science will also be included. (Lecture, 2 hours; computer lab, 2 hours).

 

Topics Covered and Tentative Schedule
Course Introduction.......................................................................................   Feb. 14
Chapter 1  Introduction to Management Science..........................................     Feb. 16
              2  Linear Programming: Model Formulation...................................      Feb. 16
              4  Linear Programming: Modeling Examples……………………. Feb. 21
              3  Linear Programming: Computer Solution and
                        Sensitivity Analysis using DS for Windows.........................       Feb. 28 

             5  The Transportation Model using the MODI Method...................      March 7
             7  Decision Analysis
                        * Decision making without probabilities
                        * Decision making with probabilities
                        * Decision Tress.................................................................... March 21 
             8  Queuing Analysis
                        * The single-server waiting line system
                        * The multiple-server waiting line system.............................      April 4
             9  Network Flow Models
                        * The shortest-route problem
                        * The minimal-spanning tree problem..................................      April 13
             10  Project Management
                        * The project network
                        * The critical path
                        * Probabilistic Activity Times..............................................  May 2
            11  Forecasting
                        * Time series method
                        * Regression forecasting methods........................................      May 16
Final Revision
...............................................................................................    May 23


Teaching Methods

This course will emphasize the teamwork approach. The main purpose of using this approach is to continuously improve the process of learning and teaching through students’ involvement. Students' input regarding the course, its organization, exam format, and course improvement will be continuously solicited, encouraged and rewarded.

All students will be organized into teams. Each team will consist of 2 students. Students in every team should work together as one unit and help mentor each other throughout the semester. Teams’ responsibilities are:

1.         Each team will submit one term project.

2.         All homework assignments will be team work.

3.         In case any student misses a class, other students in the team will be responsible for helping him/her make-up the missed class. This includes handling any handouts, class notes, materials, and homework.

 

I strongly believe that open communication with students and their continuous feedback are essential elements of quality teaching. Consequently, I encourage and urge every student to ask questions, ask for further instructions, participate in class discussions, and even disagree with me (sometimes!!!). In particular, I do welcome any ideas and input that will help me improve the course and/or my teaching effectiveness. Students should feel free to talk to me about any of these issues in or out of class. I promise to listen and consider all your ideas to improve this class and my teaching without any negative effect whatsoever on your grade. Please try me!!!

 

Course Requirements:

1.         Three exams.

2.         Homework assignments covering all management science techniques covered in class.

3.         Computer lab assignments covering use of DS for Windows to solve Management Science problems and interpret results of computer printouts.

4.         Each team will submit a term project.  This project involves the application of Quantitative Analysis in real life problems.  The outline of this project is as follows:

 

a.       Select a real life problem (problem you have at work, at home, in school, when you travel, etc.)

b.      Define the problem clearly and in details.

c.       Formulate the problem using any quantitative techniques you see appropriate. Show all data and its sources.

d.      Solve the problem. Show all details and enclose any computer results if any.

e.       Analyze and present the results                              

 

Format and style of the report:

a.       Report should be at least 5 typewritten pages.

b.      Report should be written using the business writing style.

 

Timing and grading:

a.       Project will count for 10% of the final grade.

b.      Project submission date is May 30.

 

No late projects will be accepted.

 

 

 

 

Grading
Two Exams (25% each)                                   50%
Final Exam                                                       25%
Homework and class participation                     15%
Term Project                                                    10%

 

Approximate Test Dates
Exam I           March 23
Exam II         April 27
Final Exam    May 30 (11:15-1:15 PM)

 

 

 

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