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Project Work in Artificial Intelligence and Automation, 7.5 Higher education credits

Projektarbete i Artificiell intelligens och automation, 7,5 Högskolepoäng

Established: 2022-09-01

Established by: Department of Engineering Science

Applies from: V23

Learning outcomes

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

• show knowledge of Intelligent Systems and Machine Learning on the Industrial automation applications.
• critically review and evaluate their own methodology and solution in-depth.
• show the ability to, orally and in writing, present project work.

Entry requirements

General entry requirements and approved result from the following course/courses:

IAI600-Introduction to Artificial Intelligence and Machine Learning and

PFA600-Programming for Automation and

MFA600-Mechatronics for Automation and

BSD600-Big Data Processing and Analysis and

STB600-Sensor Technology and Image Analysis or the equivalent.

The forms of assessment of student performance

Oral presentation in group. Written hand in solution, in group. Oral and written opposition, in group. Individual written evaluation.

Course contents

Project Work in Artificial Intelligence and Automation course is aimed to increase the knowledge and ability to conduct an automation project using artificial intelligent techniques through practice. This is carried out by taking a practical small project linked to a real process/operation/system in an enterprise. It is all about developing an automation solution for a given industrial system either by knowing the processes and other real data or just by assuming and generalizing the input information. Your suggested solution should include some simulation and/or some coding containing AI/ML algorithms and techniques. The purpose is to learn how to improve the efficiency of a system or a process performance using AI through a selection of methods, development, and prototype implementation.

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

A1F - second cycle, has second-cycle course/s as entry requirements

Main field of study

Automation, Production Technology