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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 Computer Engineering, Electrical Engineering (with relevant courses in Computer Engineering), or equivalent, or passed courses at least 150 credits from the programme Computer Science and Engineering, and completed course Machine Learning, 7,5 credits or equivalent. Proof of English proficiency is required.

Level of Education: Master
Course code/Ladok code: TRIS22
The course is conducted at: School of Engineering

Upcoming course occasions

Type of course
Program
Study type
Campus
Semester
Autumn 2022: Aug 22 - Oct 23
Rate of Study
100%
Language
English
Location
Jönköping
Time
Day
Course coordinator
Maria Hedblom
Examiner
Maria Hedblom
Tuition fees do NOT apply for EU/EEA citizens or exchange students
18750kr
Syllabus
HTML  PDF
Application code
HJ-T2301
Last modified 2022-06-09 11:06:12