Print Course syllabus
Course syllabus - Applied Artificial Intelligence
Scope
15 credits
Course code
CDT406
Valid from
Autumn semester 2016
Education level
Second cycle
Progressive Specialisation
A1F (Second cycle, has second-cycle course/s as entry requirements).
Main area(s)
Computer Science
School
School of Innovation, Design and Engineering
Ratified
2013-02-28
Revised
2016-01-27
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
Artificial intelligence : a modern approach
3.,[updated] ed. : Boston : Pearson Education, cop. 2010 - xviii, 1132 s.
ISBN: 9780132071482 (pbk.) LIBRIS-ID: 11712972
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Books
Machine learning
New York : McGraw-Hill, cop. 1997 - xvii, 414 s.
ISBN: 0-07-042807-7 LIBRIS-ID: 8273683
Artificial intelligence : a modern approach
3.,[updated] ed. : Boston : Pearson Education, cop. 2010 - xviii, 1132 s.
ISBN: 9780132071482 (pbk.) LIBRIS-ID: 11712972
Artificial intelligence
3. ed. : Reading, Mass. : Addison-Wesley Publ., cop. 1992 - xxv, 737 s.
ISBN: 0-201-53377-4 LIBRIS-ID: 4704848
Effective Project Management: Traditional, Agile, Extreme, 6th Edition
John Wiley & Sons, 2011 - 816 s.
ISBN: 9781118016190 LIBRIS-ID: 13482163
Fundamentals of project management : developing core competencies to help outperform the competition
2. ed. : New York : AMACOM, 2001 - 148 s.
ISBN: 0-8144-7132-3 (hft.) LIBRIS-ID: 5746833
Objectives
This course has the purpose to give the students knowledge in how to use artificial intelligence to build computer programs or systems that have more "intelligent" behaviour. The course gives knowledge on how do develop systems and products that have an intelligent behaviour, learn by mistakes, improve its own functionality, solve tasks not thought of by the programmer during design.
Learning outcomes
After completion, the student should students be able to:
- identify a problem suitable for an artificial intelligence solution.
- from a given problem formulate a solution that contains AI and reflect over alternative solutions.
- from a given problem select and implement an AI algorithm/system.
- present a solution both in written form in a short and concise report capturing implementation, results and conclusions from the project.
Course content
The course deals with all aspects from problem formulation to implementation of a intelligent system including methods and techniques from artificial intelligence:
- problem formulation
- identification solutions based on artificial intelligence (AI)
- knowledge about a number of projects that use AI
- ability and knowledge on how a decision system/ case based reasoning system is implemented
- how to explain and describe an "intelligent" AI based system
Specific requirements
At least two years of studies on the basic level or at least 120 ECTS credits in the relevant subject area. In addition Swedish course B/Swedish course 3 and English course A/English course 6 are required. For courses given entirely in English exemption is made from the requirement in Swedish course B/Swedish course 3. Theoretical knowledge and practical competences in fundamentals of Artificial Intelligence.
Examination
Written assignment (INL1), 4 credits, marks Fail (U) or Pass (G)
Seminar (SEM2), 1 credit, marks Fail (U) or Pass (G)
Seminar (SEM3), 1 credit, marks Fail (U) or Pass (G)
Seminar (SEM4), 1 credit, marks Fail (U) or Pass (G)
Project (PRO2), 8 credits, 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.
Study guideGrade
Grading scale: 5, 4, 3