This translation is for information purposes only. In the event of discrepancies, the Swedish-language version takes precedence.

Introduction to Artificial Intelligence and Machine Learning, 7.5 Higher education credits

Introduktion till artificiell intelligens och maskininlärning, 7,5 Högskolepoäng

Established: 2022-03-17

Established by: Department of Engineering Science

Applies from: H22

Learning outcomes

After completing the course, the student should be able to:

Knowledge and understanding

• describe various types of ML and AI algorithms and their application areas.
• explain various sources of input data for the algorithms.
• discuss testing and validation of ML and AI algorithms.
• demonstrate knowledge and understanding of how data quality affects the output of the algorithms.

Skills and abilities

• select ML and AI algorithms depending on the usage scenario.
• utilize existing libraries to perform simple ML tasks.
• evaluate the performance of ML and AI algorithms.

Values and attributes

• evaluate the impact ML and AI has on society.

Entry requirements

Bachelor of Science in computer science, software engineering, information technology, computer engineering, electrical engineering, mechanical engineering, industrial engineering and management or equivalent. The degree must include a course in programming and 15 HE credits of mathematics. Verified knowledge of English corresponding to the course English 6 in the Swedish Upper Secondary School (high school) or equivalent.

The forms of assessment of student performance

• Laboratory assignment in group with individual written report
• Individual written exam

Course contents

This course introduces the most common concepts ML and AI. The course also deals with proper applicability of different algorithms to diverse types of data. Practical exercises are provided to give hands-on experience. Importance of the quality of the data is emphasized as one of the keys to successful data analysis.

Other regulations

Course grading: F/Fx/E/D/C/B/A - Insufficient, Insufficient- more work required before the credit can be awarded, Sufficient, Satisfactory, Good, Very Good, Excellent

Course language: The teaching is conducted in English.

General rules pertaining to examination at University West are available at www.hv.se.

If the student has a decision/recommendation on special support due to disability, the examiner has the right to examine the student in a customized examination form.

Cycle

Second cycle

Progressive specialization

A1N - second cycle, has only first-cycle course/s as entry requirements

Main field of study

Automation, Computer Engineering, Computer Engineering