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 Demonstrate comprehensive knowledge of key concepts across the breadth of effective application and use of MIS and innovative information technologies in organizations.
- P02 Demonstrate autonomy and responsibility in managing MIS projects and improving organizational processes
- P03 Demonstrate comprehensive understanding of appropriate enterprise frameworks, theories from the MIS to research and assess contemporary issues in the field and related allied fields and disciplines
- P04 Apply MIS knowledge to facilitate the acquisition, development, deployment, and management of information systems
- P05 Apply MIS knowledge to the exploitation of opportunities created by information technology innovations ensuring the alignment between MIS strategy and organizational strategy
- P06 Demonstrate ethical reasoning in relation to crucial MIS issues such as privacy, information security, and ethical use of information
- P07 Apply appropriate technologies and techniques to the collection and analysis of organizational and environmental data to facilitate evidence-based decision-making
- P08 Analyse organizational data to accurately identify organizational problems and propose solutions using MIS
- P09 Apply effective communication skills consistent with the professional environment
- P10 Apply effective collaboration skills 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 | - | - | - | - | - | - | - | - | - | - | - |