Components and Application of Artificial Intelligence (5 cr)
Code: MS00CN47-3001
General information
Enrollment
02.12.2023 - 16.01.2024
Timing
16.01.2024 - 03.03.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Teaching languages
- English
Degree programmes
- Master of Engineering, Data Engineering and AI
- Master of Business Administration, Data Engineering and AI
Teachers
- Amin Majd
Groups
-
YDATIS23
-
YDATTS23
- 16.01.2024 08:30 - 11:45, Components and Application of Artificial Intelligence MS00CN47-3001
- 12.02.2024 08:30 - 12:00, Components and Application of Artificial Intelligence MS00CN47-3001
- 13.02.2024 08:30 - 12:00, Components and Application of Artificial Intelligence MS00CN47-3001
Objective
After completing the course, the students can
- describe and understand about the usage of components of AI and how they can be used when building AI applications
- describe how systems using AI operate
Content
- Machine Learning
- Deep learning
- Neural networks
- Intelligent autonomous systems and other applications of AI
Materials
The course materials will be announced later during the course.
Student workload
Contact hours:
- 4 times 4h theory and practice: 4 x 4h = 16 hours
Final project: approximately 114 hours
Total: approximately: 130 hours
Content scheduling
Dive into the world of Deep Learning with our course. Explore fundamental concepts like Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). Learn essential skills for network optimization and troubleshooting. Equip yourself with the knowledge to tackle real-world challenges in neural network tuning.
Evaluation scale
H-5