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Research Methods for Intelligent Systems 7,5 Credits

Course Contents

The course comprises of lectures and seminars. The lectures broadly cover the theoretical foundations of typical research approaches in artificial intelligence and related areas as well as common research methods and ways of reporting research findings. The seminars cover academic communication, state-of-the-art development in artificial intelligence from a scientific perspective, and open research questions and challenges.

The course includes the following elements:
- Information retrieval and literature surveys
- Qualitative and quantitative approaches to research
- Computer science as a scientific paradigm
- Research methods in computer science
- Basic and applied research in artificial intelligence
- Ethical considerations
- Assessment of scientific quality

Prerequisites

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

Level of Education: Master
Course code/Ladok code: TRIS20
The course is conducted at: School of Engineering

Upcoming course occasions

Type of course
Program
Study type
Campus
Semester
Autumn 2020: Aug 17 - Oct 18
Rate of Study
100%
Language
English
Location
Jönköping
Time
Day
Examiner
Niklas Lavesson
Course coordinator
Niklas Lavesson
Tuition fees do NOT apply for EU/EEA citizens or exchange students
17498kr
Syllabus
HTML  PDF
Application code
HJ-T0313

Content updated 2019-12-19

Content updated 2015-06-24
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