Introduction to Artificial Intelligence, 6 credits

Main field of study

Course level

Advancement level

Course offered for

• Master of Science in Media Technology and Engineering

Prerequisites

Multi-variable analysis, linear algebra, statistics, programming

Intended learning outcomes

The aim of the course is for the student to gain insights in artificial intelligence, including classical machine learning techniques, deep learning and generative models. 

After finishing this course the student should be able to

• reason about different machine learning techniques,
• reason on differences between classical machine learning techniques, deep learning, and generative models,
• identify the appropriate technique for solving different AI-related problems,
• apply common AI techniques to solve problems related to perception, reasoning and actions,
• reason about the challenges of keeping humans in the loop in autonomous systems,
• describe common ethical and societal challenges with artificial intelligence.

Course content

Fundamental concepts on history of AI and its significance, optimization techniques for AI applications, feature extraction, probabilistic reasoning, rule-based systems, reinforcement learning, supervised and unsupervised learning, Bayesian and regression models. 

Teaching and working methods

Attendance is required for project presentation and examination of laboratory work.

Theories and practical uses of these theories are provided through lectures. Substantial laboratory work is included, where theories are transformed into practical knowledge.

Examination

Grades

Other information

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

• If teaching language is “Swedish”, the course as a whole could be given in Swedish, or partly in English. Examination language is Swedish, but parts of the examination can be in English.
• If teaching language is “English”, the course as a whole is taught in English. Examination language is English.
• If teaching language is “Swedish/English”, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English depending on teaching language.

Other

The course is conducted in such a way that there are equal opportunities with regard to sex, transgender identity or expression, ethnicity, religion or other belief, disability, sexual orientation and age.

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point. 

The course is campus-based at the location specified for the course, unless otherwise stated under “Teaching and working methods”. Please note, in a campus-based course occasional remote sessions could be included.  

Department