Course syllabus - Introduction to Applied AI
Scope
7.5 credits
Course code
DVA132
Valid from
Autumn semester 2020
Education level
First cycle
Progressive Specialisation
G1N (First cycle, has only upper-secondary level entry requirements).
Main area(s)
Computer Science
School
School of Innovation, Design and Engineering
Ratified
2020-01-24
Literature lists
Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.
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Books
Liv 3.0 : att vara människa i den artificiella intelligensens tid
Stockholm : Volante, 2017 - 463 sidor
ISBN: 9789188123985 LIBRIS-ID: 20698050
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Books
AIQ : hur artificiell intelligens fungerar
Göteborg : Bokförlaget Daidalos, [2018] - 333 sidor
ISBN: 9789171735539 LIBRIS-ID: fpt0rp88cz8csc2x
Objectives
The purpose of this course is to introduce the students to the topic of Artificial Intelligence, including possible and future applications. In addition, the history of the Artificial Intelligence, its impact of the society, and its ethics implications.
Learning outcomes
After completing the course, the student shall be able to:
1. describe the subject area of Artificial Intelligence, its history, and its development as a scientific and popular scientific topic,
2. describe the role of Artificial Intelligence in the society, including relevant ethical aspects,
3. demonstrate the ability to differentiate the different concepts and parts of an Artificial Intelligent 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 Artificial Intelligence and also
5. demonstrate the ability to solve problems in Artificial Intelligence.
Course content
General orientation of the subject Artificial Intelligence, and design and use of Artificial Intelligence algorithms. The course introduces also to central activities in the program, 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
Mathematics C or Mathematics 3b/3c
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).
Project (PRO1), 4.5 credits, examines the learning objective 5, marks Fail (U) or Pass (G).
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, Fail