Medical Imaging Techniques 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:

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) Has a basic level of theoretical and practical knowledge about the field of Medical Imaging Techniques.
2) Apply radiation safety and radiation protection rules. It takes necessary measures to protect itself and the patient from the harmful effects of radiation.
3) Knows the infrastructure of medical imaging devices, daily maintenance and controls of the devices.
4) Has knowledge about occupational health and safety.
5) In order to solve unforeseen complex problems encountered in the applications related to the field, it takes part in the team and acts in accordance with the quality management and processes and takes individual responsibility when necessary.
6) Communicates effectively with colleagues, patients, relatives, physicians and other health professionals.
7) Knows radiological anatomy at basic level. Recognize the anatomical structures displayed.
8) Know medical and radiological terms, uses effectively.
9) Has the ability to communicate and work effectively with different medical sciences.
10) Adopts the principle of lifelong learning and follows and learns the technological developments in the field.
11) Follows the information in his / her field and communicates with his / her colleagues by using a foreign language at least at a level of European Language Portfolio A2 General Level.
12) Uses information and communication technologies with computer software at least at the basic level of European Computer Driving License required by the field.
13) Has knowledge about ethical principles and rules in the field.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Has a basic level of theoretical and practical knowledge about the field of Medical Imaging Techniques.
2)	Apply radiation safety and radiation protection rules. It takes necessary measures to protect itself and the patient from the harmful effects of radiation.
3)	Knows the infrastructure of medical imaging devices, daily maintenance and controls of the devices.
4)	Has knowledge about occupational health and safety.
5)	In order to solve unforeseen complex problems encountered in the applications related to the field, it takes part in the team and acts in accordance with the quality management and processes and takes individual responsibility when necessary.
6)	Communicates effectively with colleagues, patients, relatives, physicians and other health professionals.
7)	Knows radiological anatomy at basic level. Recognize the anatomical structures displayed.
8)	Know medical and radiological terms, uses effectively.
9)	Has the ability to communicate and work effectively with different medical sciences.
10)	Adopts the principle of lifelong learning and follows and learns the technological developments in the field.
11)	Follows the information in his / her field and communicates with his / her colleagues by using a foreign language at least at a level of European Language Portfolio A2 General Level.
12)	Uses information and communication technologies with computer software at least at the basic level of European Computer Driving License required by the field.
13)	Has knowledge about ethical principles and rules in 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