Health Administration
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

UNI220

Course Name:

Machine Learning and Data Science

Semester:

Fall

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. ALPER ÖNER

Course Lecturer(s):

Ferzat Anka

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of the course is to provide students with information on basic techniques and methods in artificial learning and to enable students to have the ability to use artificial learning methods in solving practical problems. At the same time, it is to understand the importance of machine learning in today's application areas.
Course Content:	Machine learning basic concepts and methods. Problem solving using machine learning; methods using and not using problem information. Data analysis, To examine various algorithms. To explain the importance of artificial intelligence methods in different fields with examples

Learning Outcomes

The students who have succeeded in this course;
1) • Recognize the problems that can be solved by machine learning methods.
2) • Understanding the importance of artificial intelligence in solving various problems
3) • Can choose the appropriate machine learning method for the given problem.
4) • Can solve the given problem with the appropriate machine learning method.
5) • Knows the ways of representing information, its advantages and disadvantages.

Course Flow Plan

Week	Subject	Related Preparation
1)	Machine learning history and philosophy
2)	Basic concepts
3)	Basic concepts-Intelligent Agents
4)	Introduction to machine learning and problem solving and search algorithms
5)	Expert systems and machine learning
6)	Optimization methods in machine learning
7)	Homework-Presentation
8)	Homework-Presentation
9)	Homework-Presentation
10)	Data science and analysis
11)	Machine learning
12)	Data science and methods
13)	Machine learning
14)	Search algorithms and their importance (Definite, greedy, heuristic, meta-heuristic)

Sources

Course Notes / Textbooks:

• Stuart Russell and Peter Norvig, Artificial Intelligence: A Modern Approach, Third Ed., Prentice Hall, 2010,
• Michael Negnevitsky, Artificial Intelligence: A Guide to Intelligent Systems (3rd Edition) 3rd Edition
• Vasif Nabiyev, Yapay Zeka: İnsan ve Bilgisayar Etkileşimi 4. Baskı
• Yalçin Özkan, Veri Madenciliği Yöntemleri, Papatya, 2008
• Cemalettin Kubat, Matlab Yapay Zeka ve Mühendislik uygulamaları, Pusula, 2009
• İlker Arslan, R ile İstatistiksel Programlama, Pusula, 2020
• Zafer Demirkol, Herkes İçin Yapay Zeka, Genç Destek, 2021
• S.Nematzadeh et al. Rationalized Statistics for Biosciences Analysing bioinformatics data using the R, LAP Publishing, 2021

References:

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) They will have the theoretical and practical knowledge to comprehend, evaluate and direct the operation of the health systems and its subsystems.
2) They will have the knowledge of factors about society-individual health and its development.
3) They will apply the theoretical and practical knowledge of health management in related institutions and organizations.
4) They will analyze, evaluate the developments in health management by using scientfic methods and techniques and develop solutions.
5) They will follow the developments in the field by using a foreign language at least at the level of European Language Portfolio B1.
6) They will use health terminology and grammar according to the rules in spoken and written communication.
7) They will share their thoughts about health management and solution proposals with internal and external parties written and orally.
8) They will use information and communication technologies with computer software at least at the level of European Computer Driving License required by the field.
9) They will constantly develop professional knowledge and skill; know ways to access information and apply them.
10) They will show mangement philosophy and management functions in health management applications.
11) They will behave sensitve to health problems in the country and around the world with sociak responsibility and sustainability and they will evaluate solution suggestions to maximize social benefits.
12) They will act in accordance with legal regulations in the field of health management and with social, scientific and professional ethical principles.
13) They will show leadership characteristics in health management applications.
14) They will take responsibility individually and as a team member in health management applications.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	They will have the theoretical and practical knowledge to comprehend, evaluate and direct the operation of the health systems and its subsystems.
2)	They will have the knowledge of factors about society-individual health and its development.
3)	They will apply the theoretical and practical knowledge of health management in related institutions and organizations.
4)	They will analyze, evaluate the developments in health management by using scientfic methods and techniques and develop solutions.
5)	They will follow the developments in the field by using a foreign language at least at the level of European Language Portfolio B1.
6)	They will use health terminology and grammar according to the rules in spoken and written communication.
7)	They will share their thoughts about health management and solution proposals with internal and external parties written and orally.
8)	They will use information and communication technologies with computer software at least at the level of European Computer Driving License required by the field.
9)	They will constantly develop professional knowledge and skill; know ways to access information and apply them.
10)	They will show mangement philosophy and management functions in health management applications.
11)	They will behave sensitve to health problems in the country and around the world with sociak responsibility and sustainability and they will evaluate solution suggestions to maximize social benefits.
12)	They will act in accordance with legal regulations in the field of health management and with social, scientific and professional ethical principles.
13)	They will show leadership characteristics in health management applications.
14)	They will take responsibility individually and as a team member in health management applications.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Presentation	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	Workload
Course Hours	16	48
Study Hours Out of Class	16	53
Presentations / Seminar	5	10
Final	1	2
Total Workload		113