ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
RTR2011	Organizational Behavior in Health Institutions	Spring	2	0	2	3

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	Turkish
Type of course:	Non-Departmental Elective
Course Level:	Bachelor’s Degree (First Cycle)
Mode of Delivery:	Face to face
Course Coordinator :	Instructor AYBİKE ELİF BOLCAN
Course Lecturer(s):	Dr. Öğr. Üyesi İLKAY TURAN
Recommended Optional Program Components:	None
Course Objectives:	This course is intended to demonstrate the behavioral problems faced by health care provider and manager candidates to gain behavioral skills they may need for the solution of this problem. In addition to the concept of forming behavior such as attitudes and perceptions ; administrators often need their leadership, the motiavasyo , teamwork , problem solving, stress and conflict management , organizational change, ethical and psychological harassment ( mobbing ) is intended to be reflections of concepts such as in health care facilities.

Learning Outcomes

The students who have succeeded in this course;
1- Understanding the basic principles and theories of organizational behavior
2- Ability to critically evaluate different perspectives
3- Gaining basic knowledge of terminology, classifications, methods and trends related to the field of study

Course Content

Organizational Behavior and Fundamentals of Organizational Behavior, Perception and Attribution Processes, people, groups, decision-making, organizational culture, attitudes, morale, stress, mobbing, working environment issues.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Organizational Behavior and Basic Concepts
2)	Perception and Attribution-Personality, Attitudes, Emotions and Values
3)	Motivation and Related Theories
4)	Motivation and Related Theories
5)	Learning, Organizational Learning/ Organizational Culture
6)	Groups and Teams
7)	Midterm
8)	Conflict Management and Negotiation
9)	Power and Politics - Stress and Stress Management
10)	Leadership: Theories and Practices
11)	Communication
12)	Decision making
13)	Homework presentations and Discussion
14)	Homework presentations and Discussion

Sources

Course Notes / Textbooks:

1. EREN, Erol, Örgütsel Davranış ve Yönetim Psikolojisi, 12. Baskı, İstanbul: Beta Basım A.Ş., 2010.
2. GÜNEY, Salih, Örgütsel Davranış, 1. Baskı, Ankara: Nobel Yayın Dağıtım, 2011.
3. ÖZKALP, Enver (Ed.), Davranış Bilimleri, Eskişehir: Anadolu Üniversitesi Yayınları, 1. Baskı, 2012.
4. ROBBINS, Stephen P., JUDGE, Timothy A., Örgütsel Davranış, 14. Basımdan Çeviri, Çev.: İnci ERDEM (Ed.), Ankara: Nobel Yayınevi, 2012.
5. SABUNCUOĞLU, Zeyyat, TÜZ, Melek, Örgütsel Psikoloji, 4. Baskı, İstanbul: Alfa Aktüel Yayınları, 2009.

References:

ÖZKALP, Enver, KIREL, Çiğdem, Örgütsel Davranış, 5. Baskı, Bursa: Ekin Yayınevi, 2011.

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Attendance	14	% 10
Homework Assignments	1	% 10
Presentation	1	% 10
Midterms	1	% 20
Final	1	% 50
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 50
PERCENTAGE OF FINAL WORK		% 50
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	2	28
Study Hours Out of Class	14	2	28
Presentations / Seminar	1	5	5
Homework Assignments	1	1	1
Midterms	1	1	1
Final	1	2	2
Total Workload			65

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Have sufficient background in mathematics, science and artificial intelligence engineering.
2)	Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions.
3)	Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose.
4)	Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction.
5)	Select and use modern techniques and tools necessary for engineering applications.
6)	Design and conduct experiments, collect data, and analyse and interpret results.
7)	Work effectively both as an individual and as a multi-disciplinary team member.
8)	Access information via conducting literature research, using databases and other resources
9)	Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning.
10)	Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field.
11)	Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level.
12)	Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age.
13)	Have a sense of professional and ethical responsibility.
14)	Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices.