Child Development
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) Have the basic theoretical knowledge about health, education and support services, organizational structure and systematic.
2) Uses the sciences such as health, education and psychology in addition to the basic knowledge and skills of the Child Development discipline and uses these sciences effectively.
3) To express himself/herself as an individual and a team member in the education, justice, culture, health and other related institutions related to Child Development, he/she carries out the necessary professional work independently and takes responsibility.
4) To understand the basic concepts, approaches and theories related to the field of child development, relate the current experiences with national and international developments.
5) Acts in accordance with social, scientific, cultural and ethical values in all studies in the field of Child Development.
6) Defines the problems encountered based on the knowledge and skills required by the discipline of Child Development and develops solutions.
7) Determines the learning needs of lifelong learning related to Child Development and makes the necessary guidance.
8) Works in collaboration with the family and the child and social, cultural structure and works in cooperation with the area of Child Development.
9) Plans, prepares and evaluates the materials (books, information notes, booklets, toys, educational instructional tools etc.) required by the field of Child Development and uses the materials in accordance with the best interests of the child and the family.
10) Knows the basic knowledge necessary for professional practices in education, justice, culture, health and other related institutions about child development.
11) Acts in accordance with professional ethics and social responsibility in all social practices and professional practices.
12) Participate the society and other professional groups about child development.
13) Have the ability to use advanced computer skills in terms of European computer use license.
14) Have the ability to use advanced computer skills in terms of European computer use license.
15) They are sensitive regarding the universality of social rights and quality and protection of cultural values and occupational health and safety issues in the field of Child Development.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Have the basic theoretical knowledge about health, education and support services, organizational structure and systematic.	1
2)	Uses the sciences such as health, education and psychology in addition to the basic knowledge and skills of the Child Development discipline and uses these sciences effectively.	1
3)	To express himself/herself as an individual and a team member in the education, justice, culture, health and other related institutions related to Child Development, he/she carries out the necessary professional work independently and takes responsibility.	1
4)	To understand the basic concepts, approaches and theories related to the field of child development, relate the current experiences with national and international developments.	1
5)	Acts in accordance with social, scientific, cultural and ethical values in all studies in the field of Child Development.	1
6)	Defines the problems encountered based on the knowledge and skills required by the discipline of Child Development and develops solutions.	1
7)	Determines the learning needs of lifelong learning related to Child Development and makes the necessary guidance.	1
8)	Works in collaboration with the family and the child and social, cultural structure and works in cooperation with the area of Child Development.	1
9)	Plans, prepares and evaluates the materials (books, information notes, booklets, toys, educational instructional tools etc.) required by the field of Child Development and uses the materials in accordance with the best interests of the child and the family.	1
10)	Knows the basic knowledge necessary for professional practices in education, justice, culture, health and other related institutions about child development.	1
11)	Acts in accordance with professional ethics and social responsibility in all social practices and professional practices.	1
12)	Participate the society and other professional groups about child development.	1
13)	Have the ability to use advanced computer skills in terms of European computer use license.	1
14)	Have the ability to use advanced computer skills in terms of European computer use license.	1
15)	They are sensitive regarding the universality of social rights and quality and protection of cultural values and occupational health and safety issues in the field of Child Development.	1

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