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

Course Introduction and Application Information

Course Code:

UNI220

Course Name:

Machine Learning and Data Science

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. 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) Has the knowledge and knowledge to follow the resources related to the profession and has the ability to communicate properly in oral and written form.
2) Have knowledge about research methods of drugs and necessary resources related to the profession.
3) Has knowledge about regulations and legislation related to pharmacy and drugs.
4) Uses information and communication technologies together with computer software at the basic level of at least European Computer Driving License required by the field.
5) Has enough awareness about individual and public health, environmental protection and occupational safety.
6) Has the ability to use computer programs in the field of pharmacy.
7) Uses a foreign language at least at the level of the European Language Portfolio A2 General and follows the information in the field.
8) Has awareness of lifelong learning and it directs its education to a further education level or a profession in the same field.
9) Performs expiration dates and inventory controls of the products; identify deficiencies. It is responsible for keeping the products in proper storage and storage.
10) They act in accordance with quality management and processes.
11) In the control of the pharmacist or the responsible manager, he has the ability to make necessary directions to patients and their relatives about drug use.
12) Have the discipline necessary for team work, high communication skills, technical and application knowledge.
13) It conducts a given task independently by using its basic knowledge. When it encounters an unpredictable situation, it takes responsibility and develops solutions. Collaborates with other fields related to the field.
14) As a Pharmacy Technician, it follows the instructions related to pharmaceuticals, pharmaceuticals, medical products, medical products and dermocosmetics.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Has the knowledge and knowledge to follow the resources related to the profession and has the ability to communicate properly in oral and written form.
2)	Have knowledge about research methods of drugs and necessary resources related to the profession.
3)	Has knowledge about regulations and legislation related to pharmacy and drugs.
4)	Uses information and communication technologies together with computer software at the basic level of at least European Computer Driving License required by the field.
5)	Has enough awareness about individual and public health, environmental protection and occupational safety.
6)	Has the ability to use computer programs in the field of pharmacy.
7)	Uses a foreign language at least at the level of the European Language Portfolio A2 General and follows the information in the field.
8)	Has awareness of lifelong learning and it directs its education to a further education level or a profession in the same field.
9)	Performs expiration dates and inventory controls of the products; identify deficiencies. It is responsible for keeping the products in proper storage and storage.
10)	They act in accordance with quality management and processes.
11)	In the control of the pharmacist or the responsible manager, he has the ability to make necessary directions to patients and their relatives about drug use.
12)	Have the discipline necessary for team work, high communication skills, technical and application knowledge.
13)	It conducts a given task independently by using its basic knowledge. When it encounters an unpredictable situation, it takes responsibility and develops solutions. Collaborates with other fields related to the field.
14)	As a Pharmacy Technician, it follows the instructions related to pharmaceuticals, pharmaceuticals, medical products, medical products and dermocosmetics.

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