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State-of-the-Art in AI Research 7,5 Credits

Course Contents

The course goes into depth in terms of selected topics and methods within AI, machine learning and their applications. Examples may include areas, such as computational intelligence algorithms in search, optimization and classification, natural language processing and FAT (fairness, accountability, transparency) aspects. Examples of relevant applications could include robotics, music, health and medicine.

Prerequisites

Passed courses at least 90 credits within the major subject Informatics, and completed course Embedded and Distributed AI, 7,5 credits or equivalent. Proof of English proficiency is required.

Level of Education: Master
Course code/Ladok code: TSAS20
The course is conducted at: School of Engineering

Upcoming course occasions

Type of course
Program
Study type
Campus
Semester
Autumn 2020: Oct 19 - Jan 17
Rate of Study
100%
Language
English
Location
Jönköping
Time
Day
Examiner
Ulf Johansson
Tuition fees do NOT apply for EU/EEA citizens or exchange students
17498kr
Syllabus
HTML  PDF
Application code
HJ-T0314

Content updated 2019-12-19

Content updated 2015-06-24
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