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TR

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
-
Keywords

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

  1. 01 understand the quantitative analysis
  2. 02 describe the steps of the decision-making process and make desicions with probabilities
  3. 03 understand and use various families of forecasting models
  4. 04 understand the importance of inventory control model
  5. 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

  1. 01 Effective Management Decision Making: An Introduction, Ian Pownall, Ian Pownall & Ventus Publishing ApS, 2012, ISBN 978-87-403-0120-5
  2. 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

  1. L01 understand the quantitative analysis
  2. L02 describe the steps of the decision-making process and make desicions with probabilities
  3. L03 understand and use various families of forecasting models
  4. L04 understand the importance of inventory control model
  5. L05 understand special issues in LP and quality control

Program Outcomes

  1. P01 1- To have advanced theoretical and practical knowledge supported by textbooks, application tools and other resources including current information in the field of Accounting and Finance.
  2. P02 2- To be able to use advanced theoretical and practical knowledge acquired in the field of Accounting and Finance.
  3. P03 3- To be able to interpret and evaluate data, identify problems, analyze and develop solutions based on research and evidence by using advanced knowledge and skills acquired in the field of Accounting and Finance.
  4. P04 4- To be able to take responsibility as an individual and a team member in order to solve complex and unpredictable problems in accounting and finance applications.
  5. P05 5- To be able to plan and manage activities for the development of employees under the responsibility of a project.
  6. P06 6- To be able to determine the learning requirements in the field of Accounting and Finance and to direct their learning.
  7. P07 7- To be able to inform people and institutions about issues related to the field of accounting and finance, and to be able to transfer their ideas and solution proposals in writing and orally.
  8. P08 8- To be able to use information and communication technologies together with computer software at the European Computer Driving License Advanced Level required by the field of Accounting and Finance.
  9. P09 9- To act in accordance with social, scientific, cultural and ethical values in the stages of collecting, interpreting, applying and announcing the results related to the field of accounting and finance.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 Average
L01 - - - - - - - - - -
L02 - - - - - - - - - -
L03 - - - - - - - - - -
L04 - - - - - - - - - -
L05 - - - - - - - - - -