Advanced Artificial Intelligence Topics (2235.YR.014756.1)

General information

Type:	OPT	Curs:	1	Period:	S semester
ECTS Credits:	3 ECTS

Teaching Staff:

Group	Teacher	Department	Language
Year 1	Núria Agell Jané	Operaciones, Innovación y Data Sciences	ENG

This course assumes the student did the MIBA courses on Artificial Intelligence I, and Artificial Intelligence II.

The student should be familiarised with the basic knowledge of artificial intelligence

- 10% - Introduction (group assignement)
- 10%- Reasoning & Fuzzy (individual assignement)
- 30% - Deep Learning I, II and Explainability (Individual Quiz)
- 10%- Robotics (Group Assignement)
- 20% - NLP (Group Assignement)
- 10%- Image processing (Individual Quiz)
- 5% - Class participation and interaction
- 5% - Peer evaluation

This course is a continuation for AI topics not covered in the AI I and AI II courses. It covers AI topics that are not based on data such as Natural Language, Complex Networks, Robotics, Reasoning and Search.

The goal of this course is to give students a view on the AI non data-based techniques (top down approach). Artificial Intelligence is much more than Machine Learning, and this course focusses on giving this wider view on AI. At the end of the course, students should be able to apply AI techniques (not necessarily ML models) to solve business problems.

1. AI Explainability

2. Robotics

3. Reasoning

4. Natural Language processing

5. Deep Learning

6. Image processing

7. Multi-agent Systems

This course will be taught by experts in each of the presented fields. We will have a combination of professors from different institutions teaching each of the topics.

Group	Teacher	Department
Year 1	Núria Agell Jané	Operaciones, Innovación y Data Sciences