| Language of Instruction |
Türkçe |
| Course Type |
Elective Courses |
| Course Instructor(s) |
ÖĞR. GÖR. DR. HANDE TİRYAKİ, ARAŞ. GÖR. DR. TUĞÇE NERGİZ |
| Mode of Delivery |
The mode of delivery of this course is face to face |
| Prerequisites |
There is no prerequisite or co-requisite for this course. |
| Courses Recomended |
There is no recommended optional programme component for this course. |
| Recommended Reading List |
|
| Assessment methods and criteria |
1 midterm exam, 1 final exam |
| Work Placement |
N/A |
| Catalog Content |
Fundamentals of Artificial Intelligence: Fundamental concepts, Historical perspective, Structure of AI; Learning from Data: Data, Types of Data, Information, Knowledge; Machine Learning: Common types of machine learning algorithms, Predictive models, Descriptive models, Machine learning applications; Deep Learning: Neural networks, Deep learning applications; Generative AI for Health Sciences; Natural Language Processing: Virtual assistant; AI Ethics; AI Strategy; Implementing AI Solutions in Health Sciences: Benefits and limitations. |
Anadolu Info Package 
Turkish
English