BİLGİ PAKETİ / DERS KATALOĞU
| LANGUAGE AND SPEAKING THERAPY (ENGLISH) | |||||
|---|---|---|---|---|---|
| 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): 72,72 |
|
Ders Genel Tanıtım Bilgileri
| Course Code: | 5010003113 | ||||||||||
| Ders İsmi: | Artificial intelligence | ||||||||||
| Ders Yarıyılı: |
Spring |
||||||||||
| Ders Kredileri: |
|
||||||||||
| 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: |
|
||||||||||
| Mode of Delivery: | E-Learning | ||||||||||
| Course Coordinator : | Prof. Dr. Haluk GÜMÜŞKAYA | ||||||||||
| Course Lecturer(s): |
Prof. Dr. Haluk GÜMÜŞKAYA |
||||||||||
| 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;
|
|||||||||||||||||||||||||||||||
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) Defines, recognizes and uses the necessary equipment to evaluate language, speech, voice and swallowing disorders. Makes the necessary applications for language and speech disorders. | |||||||||
| 2) Makes the necessary evaluations, definitions and planning by using theoretical and applied concepts and principles related to the field of speech and language therapy. | |||||||||
| 3) It considers and respects individual differences, beliefs, customs and traditions. | |||||||||
| 4) Applies the knowledge and skills learned in the field of speech and language therapy within the framework of ethical principles, changes the practice when necessary and ends the process. | |||||||||
| 5) It contributes to the production of health policies in accordance with the changing and diversifying health needs of the society in the field of language and speech therapy, and takes initiatives to protect public health. | |||||||||
| 6) It organizes services in the field of speech and language therapy effectively and adequately, manages and analyzes the business processes necessary for the continuity and development of quality and organizational function, and produces solutions in line with information and evidence against problems. | |||||||||
| 7) It carries out professional and academic studies independently by using its knowledge and works in cooperation with other professional groups working in this field and takes responsibility. | |||||||||
| 8) Participates in research and project applications in the field of speech and language therapy by following technological developments. | |||||||||
| 9) It determines the differences and needs of individuals in daily life, the ways of meeting these needs and their daily activities and determines the practices that will increase the quality of life in this direction and takes part in the regulations. | |||||||||
| 10) It fulfills all the responsibilities required by its professional performance, combines and integrates its knowledge and practices in the field of language and speech therapy and adopts lifelong learning. | |||||||||
Ders - Öğrenme Kazanımı İlişkisi
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Defines, recognizes and uses the necessary equipment to evaluate language, speech, voice and swallowing disorders. Makes the necessary applications for language and speech disorders. | |
| 2) | Makes the necessary evaluations, definitions and planning by using theoretical and applied concepts and principles related to the field of speech and language therapy. | |
| 3) | It considers and respects individual differences, beliefs, customs and traditions. | |
| 4) | Applies the knowledge and skills learned in the field of speech and language therapy within the framework of ethical principles, changes the practice when necessary and ends the process. | |
| 5) | It contributes to the production of health policies in accordance with the changing and diversifying health needs of the society in the field of language and speech therapy, and takes initiatives to protect public health. | |
| 6) | It organizes services in the field of speech and language therapy effectively and adequately, manages and analyzes the business processes necessary for the continuity and development of quality and organizational function, and produces solutions in line with information and evidence against problems. | |
| 7) | It carries out professional and academic studies independently by using its knowledge and works in cooperation with other professional groups working in this field and takes responsibility. | |
| 8) | Participates in research and project applications in the field of speech and language therapy by following technological developments. | |
| 9) | It determines the differences and needs of individuals in daily life, the ways of meeting these needs and their daily activities and determines the practices that will increase the quality of life in this direction and takes part in the regulations. | |
| 10) | It fulfills all the responsibilities required by its professional performance, combines and integrates its knowledge and practices in the field of language and speech therapy and adopts lifelong learning. |
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 | % | |