MANAGEMENT SCIENCE
- Course
- BUSN321 - MANAGEMENT SCIENCE
- Department
- Business Administration - English - Undergraduate
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 6
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- -
- Prerequisite
- -
Course Description
Management science course combines elements of management and decision-making with mathematical and quantitative analysis. It involves the use of mathematical models and methods to solve problems and make decisions in a variety of settings, including business, government, and non-profit organizations. The course covers topics such as optimization, forecasting, decision analysis, and simulation, and may also include elements of computer programming and data analysis. The goal of the course is to provide students with the skills and knowledge they need to analyze complex problems and make effective decisions using quantitative methods.
MANAGEMENT SCIENCE
Evaluation Tools (Active Term)
No evaluation items have been defined.
Course outcomes
- 01 understand the quantitative analysis
- 02 describe the steps of the decision-making process and make desicions with probabilities
- 03 understand and use various families of forecasting models
- 04 understand the importance of inventory control model
- 05 understand special issues in LP and quality control
Course Syllabus
| Week | Topic |
|---|---|
| Week 1 | Introduction to Quantitative Analysis |
| Week 2 | Decision Analysis |
| Week 3 | Decision Analysis |
| Week 4 | Quiz |
| Week 5 | Forecasting |
| Week 6 | Forecasting |
| Week 7 | Inventory Control |
| Week 8 | Mid-term |
| Week 9 | Inventory Control |
| Week 10 | Linear programming models |
| Week 11 | Linear programming models |
| Week 12 | Project Mangement |
| Week 13 | Project Management |
| Week 14 | Revision and Final exams |
| Week 15 | - |
Reference Books & Course Materials
- 01 Effective Management Decision Making: An Introduction, Ian Pownall, Ian Pownall & Ventus Publishing ApS, 2012, ISBN 978-87-403-0120-5
- 02 Quantitative Analysis for Management, Barry Render,Ralph Stair, Michael Hanna, Ninth Edition, Pearson/Prentice Hall International Edition 2006, ISBN:0-13-153688-5
Learning Outcomes
- L01 understand the quantitative analysis
- L02 describe the steps of the decision-making process and make desicions with probabilities
- L03 understand and use various families of forecasting models
- L04 understand the importance of inventory control model
- L05 understand special issues in LP and quality control
Program Outcomes
- P01 Create a user interface in a contemporary object-oriented language to allow users to access business data
- P02 Identify and analyze user needs and take them into account in the selection, creation, integration, evaluation and administration of computing-based systems
- P03 Analyze common business functions and identify, design, and develop appropriate information technology solutions
- P04 Design and develop software solutions for contemporary business environments by employing appropriate problem-solving strategies
- P05 Configure and administer database server to support contemporary business environments.
- P06 Administer or mange a relational database for a small to medium size company
- P07 Be able to effectively integrate IT-based solutions into the user environment
- P08 Understand professional, ethical, legal, security and social issues and responsibilities
- P09 Be able to apply effective communication skills consistent with the professional environment
- P10 Be able to apply effective collaboration skills in teamwork consistent with the professional environment
Po-Lo Matrix
| LO | P01 | P02 | P03 | P04 | P05 | P06 | P07 | P08 | P09 | P10 | Average |
|---|---|---|---|---|---|---|---|---|---|---|---|
| L01 | - | - | - | - | - | - | - | - | - | - | - |
| L02 | - | - | - | - | - | - | - | - | - | - | - |
| L03 | - | - | - | - | - | - | - | - | - | - | - |
| L04 | - | - | - | - | - | - | - | - | - | - | - |
| L05 | - | - | - | - | - | - | - | - | - | - | - |