Management Information Systems Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI253

Course Name:

Decision Making and Problem Solving Techniques

Semester:

Fall
Spring

Course Credits:

ECTS

Language of instruction:

Turkish

Course Condition:

Does the Course Require Work Experience?:

Type of course:

University Elective

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

E-Learning

Course Coordinator:

Dr. Öğr. Üy. TAYFUN UTAŞ

Course Lecturer(s):

Tayfun Utaş

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to provide students with the ability to analyze complex decision-making processes and produce solutions. Throughout the course, students will understand decision-making processes through statistical and optimization models, develop their analytical thinking skills and have the opportunity to apply problem-solving techniques.
Course Content:	1. Decision Making Process and Models 2. Statistical Decision Making Techniques 3. Optimization Models and Solution Techniques 4. Problem Solving Approaches and Techniques 5. Real Life Applications of Decision Making and Problem Solving Techniques

Learning Outcomes

The students who have succeeded in this course;
1) Ability to understand and analyze decision-making processes and models.
2) Ability to analyze data through statistical and optimization models.
3) Developing analytical thinking abilities.
4) Ability to apply effective problem solving techniques.
5) Ability to apply decision-making and problem-solving techniques to real-life situations.

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to Decision Making Process and Models
2)	Statistical Decision Making Techniques - I
3)	Statistical Decision Making Techniques - II
4)	Introduction to Optimization Models
5)	Optimization Solution Techniques - I
6)	Optimization Solution Techniques - II
7)	Introduction to Problem Solving Approaches
8)	Midterm exam
9)	Problem Solving Techniques - I
10)	Problem Solving Techniques - II

Sources

Course Notes / Textbooks:	1. Bazerman, M.H. & Moore, D.A. (2012). Judgment in Managerial Decision Making. Wiley. 2. Dyer, J.S. & Watson, G. (2013). Analytic Decision Making. Springer.
References:	1. Hammond, J.S., Keeney, R.L., & Raiffa, H. (2006). Smart Choices: A Practical Guide to Making Better Decisions. Broadway Business. 2. Ullman, D.G. (2010). The Mechanical Design Process. McGraw-Hill.

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering.	3		3	3	1
2) Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming.	2	3	2
3) Uses different information technologies and systems for understanding and solving various business problems.	3				3
4) Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods.	1
5) Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database.	3	2			2
6) Gains technical and managerial contributions to IT projects and takes responsibility.	2			2
7) Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively.	1	2
8) Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.			3	3	2
9) Develops teamwork, negotiation, leadership and entrepreneurship skills.
10) Has universal ethical values, social responsibility awareness and sufficient legal knowledge.	3	2
11) Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them.		1		2	3
12) Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms.	3
13) It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field.			3		2

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	It has a wide range of interdisciplinary approaches to management information systems, primarily business and computer engineering.
2)	Comprehends the management information systems in terms of technical, organizational and managerial aspects and uses the current programming language by knowing the logic of programming.
3)	Uses different information technologies and systems for understanding and solving various business problems.
4)	Interpret the data, concepts and ideas in the field of management information systems with scientific and technological methods.
5)	Analyze the needs for an information system and analyze the processes of analysis, design and implementation of the database.
6)	Gains technical and managerial contributions to IT projects and takes responsibility.
7)	Solve complex business and informatics problems by using various statistical techniques and numerical methods and make analyzes using statistical programs effectively.
8)	Uses a foreign language at the B1 General Level in terms of European Language Portfolio criteria according to the level of education.
9)	Develops teamwork, negotiation, leadership and entrepreneurship skills.
10)	Has universal ethical values, social responsibility awareness and sufficient legal knowledge.
11)	Develops positive attitudes related to lifelong learning and identifies individual learning needs and carries out studies to correct them.
12)	Students will be able to communicate their ideas and solutions both written and orally, and present and publish them on both national and international platforms.
13)	It uses information and communication technologies together with computer software at the advanced level of European Computer Driving License required by the field.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	14	3	2		70
Midterms	1	20	2		22
Final	1	30	3		33
Total Workload					125