Computer Technology Preview
Associate	TR-NQF-HE: Level 5	QF-EHEA: Short Cycle	EQF-LLL: Level 5

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:

Associate

TR-NQF-HE:5. Master`s Degree

QF-EHEA:Short Cycle

EQF-LLL:5. 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) To possess the ability to comprehend fundamental concepts in the field of computer technologies.
2) To possess the ability to analyze and model problems in the field of computer technologies, and to determine and define appropriate software requirements for their solutions.
3) To possess the ability to comprehend professional topics in a foreign language.
4) To possess the capability to perform software installation, testing, and acceptance procedures.
5) To possess the ability to carry out the setup and administration of computer networks, as well as utilize network operating systems.
6) To possess the skill of conducting maintenance and repairs on computer hardware.
7) To have awareness and responsibility regarding professional, legal, ethical, and social issues in the field of computer technologies.
8) To possess the capability to plan, design, and develop computer and network software.
9) To possess the ability to design and program for web development.
10) To be competent in applying knowledge of database management, querying, and design to practical applications, and to be capable of developing database applications.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	To possess the ability to comprehend fundamental concepts in the field of computer technologies.
2)	To possess the ability to analyze and model problems in the field of computer technologies, and to determine and define appropriate software requirements for their solutions.
3)	To possess the ability to comprehend professional topics in a foreign language.
4)	To possess the capability to perform software installation, testing, and acceptance procedures.
5)	To possess the ability to carry out the setup and administration of computer networks, as well as utilize network operating systems.
6)	To possess the skill of conducting maintenance and repairs on computer hardware.
7)	To have awareness and responsibility regarding professional, legal, ethical, and social issues in the field of computer technologies.
8)	To possess the capability to plan, design, and develop computer and network software.
9)	To possess the ability to design and program for web development.
10)	To be competent in applying knowledge of database management, querying, and design to practical applications, and to be capable of developing database applications.

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