Anesthesia (Evening Education) Preview
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) Anesthesia technician has professional consciousness.
2) He/She knows the duties, authorities and responsibilities of the anesthesia technician and exhibits ethical behaviors that will carry out harmonious teamwork in the operating room.
3) He/She has the basic knowledge, skills and equipment suitable to the contemporary health technician approach, to be able to carry out communication with the patient, to take responsibility and to develop solutions when faced with an unforeseen situation related to the field.
4) Without giving any harm to patients,he/she gives importance to hygiene asepsis-antisepsis, sterilization, contamination and infection with the basic knowledge about the health care work environment.
5) He/She recognizes and uses the medical terms used in anesthesia applications.
6) He/She knows the basic structure and functions of human body and biochemical mechanisms and uses them in their professional studies.
7) He/She has information about basic anatomy and diseases related to systems.
8) While applying his / her profession, he / she can benefit from appropriate information sources and information technologies.
9) He/She has awareness of lifelong learning.
10) He/She follows information in the field by using a foreign language at least at the level of European Language Portfolio A2 General Level.
11) He/She has knowledge about ethical principles and rules in the field.
12) He/She uses information and communication technologies together with computer software at the basic level of at least European Computer Driving License required by the field.
13) He/She has internalized team work, has the knowledge of basic anesthetic pharmacology and performs anesthetic and analgesic applications together with anesthesia physician.
14) To have general first aid knowledge and to show proper approach and correct application skills in emergency situations.
15) He/She has the necessary discipline for team work and carries out activities for the development of employees under its responsibility.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Anesthesia technician has professional consciousness.
2)	He/She knows the duties, authorities and responsibilities of the anesthesia technician and exhibits ethical behaviors that will carry out harmonious teamwork in the operating room.
3)	He/She has the basic knowledge, skills and equipment suitable to the contemporary health technician approach, to be able to carry out communication with the patient, to take responsibility and to develop solutions when faced with an unforeseen situation related to the field.
4)	Without giving any harm to patients,he/she gives importance to hygiene asepsis-antisepsis, sterilization, contamination and infection with the basic knowledge about the health care work environment.
5)	He/She recognizes and uses the medical terms used in anesthesia applications.
6)	He/She knows the basic structure and functions of human body and biochemical mechanisms and uses them in their professional studies.
7)	He/She has information about basic anatomy and diseases related to systems.
8)	While applying his / her profession, he / she can benefit from appropriate information sources and information technologies.
9)	He/She has awareness of lifelong learning.
10)	He/She follows information in the field by using a foreign language at least at the level of European Language Portfolio A2 General Level.
11)	He/She has knowledge about ethical principles and rules in the field.
12)	He/She uses information and communication technologies together with computer software at the basic level of at least European Computer Driving License required by the field.
13)	He/She has internalized team work, has the knowledge of basic anesthetic pharmacology and performs anesthetic and analgesic applications together with anesthesia physician.
14)	To have general first aid knowledge and to show proper approach and correct application skills in emergency situations.
15)	He/She has the necessary discipline for team work and carries out activities for the development of employees under its responsibility.

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