BİLGİ PAKETİ / DERS KATALOĞU
| PSYCHOLOGY (ENGLISH) | |||||
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| Qualification Awarded | Program Süresi | Toplam Kredi (AKTS) | Öğretim Şekli | Yeterliliğin Düzeyi ve Öğrenme Alanı | |
| Bachelor's (First Cycle) Degree | 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 |
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Ders Genel Tanıtım Bilgileri
| Course Code: | 5010003113 | ||||||||||
| Ders İsmi: | Artificial intelligence | ||||||||||
| Ders Yarıyılı: | Fall | ||||||||||
| Ders Kredileri: |
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| Language of instruction: | EN | ||||||||||
| Ders Koşulu: | |||||||||||
| Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||||
| Other Recommended Topics for the Course: | |||||||||||
| Type of course: | Üniversite Seçmeli | ||||||||||
| Course Level: |
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| Mode of Delivery: | E-Learning | ||||||||||
| Course Coordinator : | Prof. Dr. Haluk GÜMÜŞKAYA | ||||||||||
| Course Lecturer(s): |
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| Course Assistants: |
Dersin Amaç ve İçeriği
| Course Objectives: | This course provides an introduction to Artificial Intelligence for public using modern tools and techniques. |
| Course Content: | Introduction to AI, Machine Learning and Deep Learning, Basic Data Science Toolset, Getting to Know Your Data, Data Preprocessing and Feature Engineering, Classification: Decision Trees and Ensembly Learning, Regression: Regression with One Variable, Regression: Regression with Multiple Input Variables, Polynomical Regression, Basic Techniques of Machine Learning, Regularized Linear Models, Classification: Logistic Regression, Introduction to Neural Networks and Deep Learning, AI Applications, Ethical Issues in AI. |
Learning Outcomes
The students who have succeeded in this course;
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Ders Akış Planı
| Week | Subject | Related Preparation |
| 1) | Introduction to AI, Machine Learning and Deep Learning | |
| 2) | Basic Data Science Toolset, Getting to Know Your Data | |
| 3) | Data Preprocessing and Feature Engineering | |
| 4) | Classification: Decision Trees and Ensembly Learning | |
| 5) | Regression: Regression with One Variable | |
| 6) | Regression: Regression with Multiple Input Variables | |
| 7) | Polynomial Regression | |
| 8) | Midterm Exam | |
| 9) | Basic Techniques of Machine Learning | |
| 10) | Classification: Logistic Regression | |
| 11) | Introduction to Neural Networks - 1 | |
| 12) | Introduction to Neural Networks - 2 | |
| 13) | Introduction to Deep Learning | |
| 14) | AI Applications, Ethical Issues in AI |
Sources
| Course Notes / Textbooks: | Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow (2022), 3rd Edition, Aurélien Geron |
| References: | Hands-On Machine Learning with Scikit-Learn, Keras and TensorFlow (2022), 3rd Edition, Aurélien Geron |
Ders - Program Öğrenme Kazanım İlişkisi
| Ders Öğrenme Kazanımları | |||||||||
|---|---|---|---|---|---|---|---|---|---|
| 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
Ölçme ve Değerlendirme Yöntemleri ve Kriterleri
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| total | % | |
| PERCENTAGE OF SEMESTER WORK | % 0 | |
| PERCENTAGE OF FINAL WORK | % | |
| total | % | |
İş Yükü ve AKTS Kredisi Hesaplaması
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Project | 1 | 40 | 40 |
| Homework Assignments | 7 | 5 | 35 |
| Final | 1 | 20 | 20 |
| Total Workload | 137 | ||