PSYCHOLOGY
Qualification Awarded Length of Program Total Credits (ECTS) Mode of Study Level of Qualification & Field of Study
4 240 FULL TIME TYÇ, TR-NQF-HE, EQF-LLL, ISCED (2011):Level 6
QF-EHEA:First Cycle
TR-NQF-HE, ISCED (1997-2013): 31

Ders Genel Tanıtım Bilgileri

Course Code: 1311002110
Ders İsmi: Basic Concepts in Artificial Intelligence
Ders Yarıyılı: Spring
Fall
Ders Kredileri:
Theoretical Practical Labs Credit ECTS
3 0 0 3 5
Language of instruction: TR
Ders Koşulu:
Ders İş Deneyimini Gerektiriyor mu?: No
Other Recommended Topics for the Course: None.
Type of course: Bölüm Seçmeli
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Dr.Öğr.Üyesi Mehmet Kamil TULGA
Course Lecturer(s): Dr.Öğr.Üyesi Mehmet Kamil TULGA
Course Assistants:

Dersin Amaç ve İçeriği

Course Objectives: This course aims to provide students with basic knowledge and skills in the field of artificial intelligence by covering the basic concepts, algorithms and applications of artificial intelligence. Students will gain the ability to analyze artificial intelligence models, machine learning processes, ethical and social implications.
Course Content: This course will cover topics such as basic principles of artificial intelligence, machine learning, deep learning, natural language processing, decision support systems and ethical issues. In addition, examples of applications of artificial intelligence in different disciplines will be examined.

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Learn and analyze the basic concepts of artificial intelligence.
2) Understands machine learning and deep learning algorithms.
3) Evaluates ethical issues in artificial intelligence applications.
2 - Skills
Cognitive - Practical
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
1) Compare different artificial intelligence techniques and identify their application areas.
2) Evaluates today's artificial intelligence systems from a critical perspective.
3) Follows and interprets current developments in artificial intelligence.
Competence to Work Independently and Take Responsibility

Ders Akış Planı

Week Subject Related Preparation
1) Introduction to Artificial Intelligence and Basic Concepts Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
2) Introduction to Machine Learning Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
3) Supervised and Unsupervised Learning Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
4) Deep Learning Fundamentals Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
5) Artificial Neural Networks and Algorithms Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
6) Natural Language Processing and Applications Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
7) Computer Vision and Image Processing Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
8) Midterm
9) Decision Support Systems in Artificial Intelligence Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
10) Ethical and Social Implications of Artificial Intelligence Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
11) Game Theory and Artificial Intelligence Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
12) Artificial Intelligence and Robotics Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
13) Big Data and Artificial Intelligence Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
14) Artificial Intelligence Applications Today Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson. Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
15) Final Exam

Sources

Course Notes / Textbooks: Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.
References: Russell, S. J., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

Ders - Program Öğrenme Kazanım İlişkisi

Ders Öğrenme Kazanımları

1

2

3

4

5

6
Program Outcomes
1) Knows the theories, different approaches and perspectives related to psychology and knows the basic concepts and terms related to psychology.
2) Knows the process of psychology becoming a science from a historical perspective, its approach to emotional, behavioral and mental processes in this process and the scientific methods used to investigate these processes.
3) Knows the working subjects and methods of the subfields of psychology and defines the duties of psychologists working in these fields.
4) To be able to deal with the human being as a biological, psychological, sociological and cultural whole and to be able to establish a relationship with related disciplines in this sense.
5) Knows the salient emphases of the major theories, approaches and perspectives of psychology (behavioral, biological, cognitive, evolutionary, humanistic, psychodynamic and sociocultural).
6) Knows the basic principles and methods of psychological assessment and gains basic interview skills.
7) Have a basic level of knowledge about commonly used measurement tools in related subfields of psychology.
8) To have the knowledge and skills required to conduct research in the field of psychology, to find a problem, to create a research design, to collect data, to determine appropriate data analysis, to interpret and report findings.
9) To have a good understanding of scientific thinking in psychology; to use critical thinking and reasoning skills.
10) Knows the ethical principles, values and practices of psychology.

Ders - Öğrenme Kazanımı İlişkisi

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Knows the theories, different approaches and perspectives related to psychology and knows the basic concepts and terms related to psychology.
2) Knows the process of psychology becoming a science from a historical perspective, its approach to emotional, behavioral and mental processes in this process and the scientific methods used to investigate these processes.
3) Knows the working subjects and methods of the subfields of psychology and defines the duties of psychologists working in these fields.
4) To be able to deal with the human being as a biological, psychological, sociological and cultural whole and to be able to establish a relationship with related disciplines in this sense.
5) Knows the salient emphases of the major theories, approaches and perspectives of psychology (behavioral, biological, cognitive, evolutionary, humanistic, psychodynamic and sociocultural).
6) Knows the basic principles and methods of psychological assessment and gains basic interview skills.
7) Have a basic level of knowledge about commonly used measurement tools in related subfields of psychology.
8) To have the knowledge and skills required to conduct research in the field of psychology, to find a problem, to create a research design, to collect data, to determine appropriate data analysis, to interpret and report findings.
9) To have a good understanding of scientific thinking in psychology; to use critical thinking and reasoning skills.
10) Knows the ethical principles, values and practices of psychology.

Öğrenme Etkinliği ve Öğretme Yöntemleri

Expression
Lesson
Reading
Homework

Ölçme ve Değerlendirme Yöntemleri ve Kriterleri

Written Exam (Open-ended questions, multiple choice, true/false, matching, fill-in-the-blanks, sequencing)

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Semester Final Exam 1 % 40
Quiz 1 % 20
total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
total % 100

İş Yükü ve AKTS Kredisi Hesaplaması

Activities Number of Activities Duration (Hours) Workload
Course Hours 15 3 45
Study Hours Out of Class 15 5 75
Quizzes 1 6 6
Midterms 1 6 6
Final 1 10 10
Total Workload 142