Basic Information

Course Code:

BUSI 252

Course Name:

Management Science

Language of Instruction:

English

Course Type:

Class

Course Level:

Bachelor

ECTS:

5.00

Instructor:

Doç. Dr. BÜŞRA SOUMMAKIE

Course Objectives

The management science course aims to solve the decision-making problems that confront and confound managers in both the public and the private sectors by developing mathematical models of those problems. The Textbook’s goal is to provide undergraduate students with a genuine foundation in business analytics, quantitative methods, and management science. The course concentrates on Prescriptive analytics and involves the use of optimization methods to solve deterministic models

Course Content

helps students to develop a real-world understanding of business analytics, quantitative methods, and management science by emphasizing model building, tangible examples, and computer applications.

Prerequisites / Corequisites

BUSI 251

Learning Outcomes

Code	Description
LO1	Ability to think systematically when analyzing and solving business problems.
LO2	Ability to use mathematical models and tools to formulate and solve management problems.
LO3	Understanding the importance of using information systems to gain a competitive advantage.
LO4	Knowledge of how to use optimization techniques.
LO5	Understanding the importance of optimization techniques in decision-making.

Weekly Course Content

Week	Content
1	Management Science
2	Linear Programming: Model Formulation and Graphical Solution
3	Linear Programming: Model Formulation and Graphical Analysis
4	Linear Programming: Model Formulation and Graphical Analysis
5	Linear Programming: Model Formulation and Graphical Analysis
6	Linear Programming: Modeling Examples
7	Linear Programming: Modeling Examples
8	Midterm
9	Integer Programming
10	Transportation, Transshipment, and Assignment Problems
11	Network Flow Models
12	Project Management
13	Multi-Criteria Decision Making
14	Nonlinear Programming
15	Review

Workload Calculation

Activity	Count	Duration (Hours)	Total
Attendance	14	3.00	42.00
Post-Prectice Individual Study	14	2.00	28.00
Midterm Exam/Preparation	1	20.00	20.00
Final Exam/Preparation	1	40.00	40.00
Homework	1	20.00	20.00
Total Workload (Hours)			150
ECTS Credit (Workload / 25)			5

Assessment

#	Assessment Type	Contribution (%)
1		%40
2	Attendance	%10
3	Final Exam	%50
TOTAL		%100

PO - LO Matrix

PO \ LO	LO1	LO2	LO3	LO4	LO5
PO-1
PO-2
PO-3
PO-4
PO-5
PO-6
PO-7
PO-8
PO-9
PO-10
PO-11
PO-12

1

Low Contribution

2

Medium Contribution

3

High Contribution

Teaching and Learning Methods

#	Method Name	Description	Tools
1	Controversial Course	Listening and comprehension, critical thinking	Standard classroom technologies, multimedia tools, projector, computer, overhead projector
2	Problem Solving	* Analyzing physical and physiological problems using problem-solving techniques and developing appropriate solutions.
3	Brainstorming	The purpose of forming pairs is to ensure that they are open to innovation during the idea generation phase	Standard classroom technologies, multimedia tools, projector, computer, overhead projector
4	Group Work	Students work in groups to prepare presentations.	Research and presentation
5	Homework	Solving and analyzing homework questions using a computer and Excel.	Computer