Course syllabus - Introduction to Applied AI

Objectives

The purpose of this course is to introduce the students to the topic of Artificial Intelligence (AI), including possible and future applications. In addition, the history of the AI, its impact  on society including aspects regarding ethics, gender and equality, will be covered.

Learning outcomes

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

1. describe the subject area of AI, its history, and its development as a scientific and popular scientific topic,
2. describe the role of AI in the society, including relevant aspects regarding ethics, gender and equality,
3. demonstrate the ability to differentiate the different concepts and parts of an AI software such as the problem definition, the data collection, the AI algorithm and the presentation of the results,
4. write a technical report focusing on AI also including discussion around ethics or gender/equality and also
5. demonstrate the ability to solve problems in AI.

Course content

General orientation of the subject AI, and design and use of AI algorithms. The course introduces also to central activities in the programme, such as report writing and group work, as well as to the role as engineer, in a societal context, and as a professional AI-expert.

Requirements

Basic eligibility and Mathematics 3b or 3c or Mathematics C

Examination

Compulsory attendance (OBN1), 1 credit, examines the learning objectives 1-2, marks Fail (U) or Pass (G). 

Written assignment (INL1), 2 credits, examines the learning objectives 3-4, marks Fail (U) or Pass (G). 

Laboratory work 1 (LAB1), an assignment that is presented with a report and a demonstration to the teacher, 1.5 credit, examines the learning objective 5, marks Fail (U) 3, 4 or 5. 
 
Laboratory work 2 (LAB2), an assignment that is presented with a report and a demonstration to the teacher, 1 credit, examines the learning objective 5, marks Fail (U) 3, 4 or 5. 
 
Laboratory work 3 (LAB3), an assignment that is presented with a report and a demonstration to the teacher, 1 credit, examines the learning objective 5, marks Fail (U) 3, 4 or 5. 
 
Laboratory work 4 (LAB4), an assignment that is presented with a report and a demonstration to the teacher, 1 credit, examines the learning objective 5,  
marks Fail (U) 3, 4 or 5.

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Pass with distinction, Pass with credit, Pass, Fail

Interim Regulations and Other Regulations

The course completely overlaps with DVA132 Introduction to Applied AI.