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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
  • IT23SP
    Information Technology IOT