UNI253 Decision Making and Problem Solving TechniquesIstinye UniversityDegree Programs PsychologyGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Psychology

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: Spring
Course Credits:
ECTS
5
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
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

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2

3

4

5

Program Outcomes
1) Have the theoretical knowledge in major sub areas of psychology.
2) Apply psychological consepts and theories in a variety of applied settings
3) Identify and explain the cognitive, emotional and behavioral processes of human.
4) Evaluate evidence and assumptions in a scientific and critical view.
5) Collect and analyze the research data and report the findings in accordance to ethical publication rules.
6) Develop and utilize measurement tools for psychological phenomena.
7) Have the skills and abilities to follow advances in psyhology and other related sciences.
8) Have the skills and abilities to work effectively on individual and group based.
9) Have the skills and abilities to communicate in a clear and effective manner in national and international settings.
10) Behave in accordance to the professional code of ethics applied to psychology.
11) Be unprejudiced and equal to various identity groups based on such as age, gender, language, race, religion and social class in scientific and professional acitivities.
12) Have enhanced awareness of universal values as well as human and animal rights.
13) Master a foreign language at least B1 level of European Language Portfolio.
14) Master the computer softwares within information and communication technologies at least European computer driving licence.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Have the theoretical knowledge in major sub areas of psychology.
2) Apply psychological consepts and theories in a variety of applied settings
3) Identify and explain the cognitive, emotional and behavioral processes of human.
4) Evaluate evidence and assumptions in a scientific and critical view.
5) Collect and analyze the research data and report the findings in accordance to ethical publication rules.
6) Develop and utilize measurement tools for psychological phenomena.
7) Have the skills and abilities to follow advances in psyhology and other related sciences.
8) Have the skills and abilities to work effectively on individual and group based.
9) Have the skills and abilities to communicate in a clear and effective manner in national and international settings.
10) Behave in accordance to the professional code of ethics applied to psychology.
11) Be unprejudiced and equal to various identity groups based on such as age, gender, language, race, religion and social class in scientific and professional acitivities.
12) Have enhanced awareness of universal values as well as human and animal rights.
13) Master a foreign language at least B1 level of European Language Portfolio.
14) Master the computer softwares within information and communication technologies at least European computer driving licence.

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