sap course 1433290486

Course Code:

BA 202

Course Title:

Management Science

Course Level:

Credit Hours/ ECTS Credits:

(3+0+0) 3 TEDU Credits, 6 ECTS Credits

Catalog Description:

Mathematical modeling techniques of managerial problems. Multicriteria decision making techniques. Forecasting techniques. Linear programming. Sensitivity analysis. Integer programming. Goal programming. Project management. Simulation modelling.

Pre-requisite:
Co-requisite:

Pre-requisites: ( MATH 101 OR MATH 111 OR MATH 114-O OR MATH 109 OR MATH 115 )

Co-requisites: NONE

Semester:

Spring

Type of Course:

Compulsory

Mode of Delivery:

Face-to-face

Language of Instruction:

English

Course Objectives:

The main objective of this course is to build a foundation of knowledge on mathematical modeling and applications on management science problems. This course provides an introduction to the basic principles of linear and integer programming and software usage to model and solve real life problems.

Software Usage:

Students will use MS Office applications (especially MS Excel) and linear programming software (Lindo, Gams) to work on their weekly assignments about 2 hours a week.

Course Learning Outcomes:

Upon succesful completion of this course, a student will be able to
1. Discover business functions and inherent managerial problems
2. Recognize the importance of systematic thinking and analytical tools to solve business problems
3. Develop the ability to use mathematical models and tools to formulate and solve real life problems
4. Assess the importance of information systems and software usage for competitive advantage
5. Discover the optimization techniques and their use in managerial decision making

Learning Activities and Teaching Methods:

Telling/Explaining

Discussion/Debate

Questioning

Reading

Demonstrating

Problem Solving

Inquiry

Collaborating

Predict-Observe-Explain

Case Study/Scenarion Analysis

Assessment Methods and Criteria:

Test / Exam

Quiz

Case Studies / Homework

Student Workload:

Case Study Analysis

hrs

Prepared By:

Revised By:

keymaster

Course Profile