Text

Course syllabus - Introduction to Artificial Intelligens

Scope

7.5 credits

Course code

DVA205

Valid from

Autumn semester 2013

Education level

First cycle

Progressive Specialisation

G1F (First cycle, has less than 60 credits in first-cycle course/s as entry requirements).

Main area(s)

Computer Science

School

School of Innovation, Design and Engineering

Ratified

2013-01-25

Status

This syllabus is not current and will not be given any more

Literature lists

Course literature is preliminary up to 8 weeks before course start. Course literature can be valid over several semesters.

    • Ratified date: 2013-08-09
    • Latest update: 2013-08-09

    Books

    Russell, Stuart Jonathan; Norvig, Peter

    Artificial intelligence : a modern approach

    3.,[updated] ed. : Boston : Pearson Education, cop. 2010 - xviii, 1132 s.

    ISBN: 9780132071482 (pbk.) LIBRIS-ID: 11712972

    Mandatory

Objectives

The aim of this course is to give an introduction to the common representations and algorithms applied in artificial intelligence.

Learning outcomes

Students who have successfully finished this course will be able to:
- describe mile stones in the history of artificial intelligence development.
- be able to give a basic explanation what artificial intelligence is
- for a given problem select suitable representation and algorithm for problem solving.
- construct computer program that can solve some typical AI-problems

Course content

The course covers the basic techniques in artificial intelligence
- Representation: trees, logic, STRIPS
- Search algorithms: breath-first, depth-first, heuristic search, alpha-beta, planning.

Tuition

Lectures and lab assignments.

Specific requirements

Programming in C# 7,5 ECTS credits, Data Structures, Algorithms and Program Development 7,5 ECTS credits and C# and Object-Oriented Programming 7,5 ECTS credits and a TOEFL test result (PBT) at least 530, TWE score 4, (iBT) at least 72, TWE score 17 or IELTS test score for academic purposes with an overall band score of minimum 5.5 and no band score below 5.0. The English test is COMPULSORY for all applicants except citizens of Australia, Canada, Ireland, New Zealand, United Kingdom and USA. The TOEFL code you must use is SWEDEN 9520.

Examination

Exercise, laboratory work (LAB1), 3 credits, marks Pass (G)
Examination (TEN1), 4,5 credits, marks 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