Basics of Artifical IntelligenceLaajuus (5 cr)
Code: IT00BD90
Credits
5 op
Learning objectives
After completing the course, the student will be able to
- understand the terms Artificial Intelligence, related fields, and the philosophy of AI
- learn the societal applications of AI and how it could predict the future
- become familiar with basic statistics and probability used in AI
- solve simple machine learning and deep learning AI problems
- utilize basic AI algorithms in IoT optimization problems
Content
- Statistics and Probability know-how, especially Bayes Rule and Regression
- Fundamental concepts on Neural Networks, Machine Learning, and Deep Learning
- Study of Datasets
- Classification Methods- Nearest Neighbor classification, Decision trees, Discriminant Analysis, Support vector machine
- Predictive models and finding their accuracies and improvement
Enrollment
01.12.2024 - 15.01.2025
Timing
01.01.2025 - 30.04.2025
Credits
5 op
Mode of delivery
Contact teaching
Teaching languages
- English
Degree programmes
- Degree Programme in Internet of Things
Teachers
- Rajeev Kanth
Student groups
-
IT23SPInformation Technology IOT