Introduction to AI and Autonomous Systems

2,5 ECTS

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Introductory course in artificial intelligence for students with a non-technical background. The focus is on introducing the main concepts, techniques and methods.

The aim of the course is to introduce concepts and applications of artificial intelligence (AI). The focus is on developing intelligent agent systems that can decide what to do and then do it. This requires techniques for problem solving, knowledge representation and reasoning, learning, communication, perceiving and acting.

After the course, the student will:
• be able to explain and discuss artificial intelligence concepts
• have a theoretical understanding of different techniques and methods
• have a hands-on experience with some of the techniques and methods

Preliminary Schedule

Wednesday 27/4
10.30 – 12.00   Lecture 1: AI & Autonomous systems
12.00 – 13.00   Lunch
13.00 – 14.00   Discussion 1: AI and Aut. Systems
14.00 – 14.15   Break
14.15 – 15.00   Lecture 2: Reasoning and Search
15.00 – 15.15   Break
15.15 – 17.00   Lab 1: AI Agent (and search)

Thursday 28/4
09.00 – 10.00   Lecture 3: Machine Learning and Optimization
10.00 – 10.15   Break
10.15 – 12.00   Lab 2: Machine Learning
12.00 – 13.00   Lunch
13.00 – 14.00   Lecture 4: Deep learning
14.00 – 14.15   Break
14.15 – 15.00   Lecture 5: How do AI researchers work?
15.00 – 15.15   Break
15.15 – 17.00   Lab 3: Deep learning

Friday 29/4
09.00 – 10.00   Lecture 6: Reinforcement learning
10.00 – 10.15   Break
10.15 – 12.00   Lab 4: Reinforcement learning
12.00 – 13.00   Lunch
13.00 – 14.00   Lecture 7: Multi-agent Systems
14.00 – 14.15   Break
14.15 – 15.00   Q&A and Conclusions

Registration

Register via the form below to attend the course.