SOW-BKI121
Introduction Artificial Intelligence A
Course infoSchedule
Course moduleSOW-BKI121
Credits (ECTS)4
CategoryB1 (First year bachelor)
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
Lecturer(s)
Lecturer
prof. dr. T.M. Heskes
Other course modules lecturer
Contactperson for the course
L.E.C. Jacques
Other course modules lecturer
Coordinator
dr. P.A. Kamsteeg
Other course modules lecturer
Examiner
dr. P.A. Kamsteeg
Other course modules lecturer
Lecturer
prof. dr. ir. J.H.P. Kwisthout
Other course modules lecturer
Academic year2018
Period
PER2-PER3  (05/11/2018 to 14/04/2019)
Starting block
PER2
Course mode
full-time
Remarks-
Registration using OSIRISYes
Course open to students from other facultiesNo
Pre-registrationNo
Waiting listNo
Placement procedure-
Aims

The overall learning aims of the course are that students will be able to:

  • Recognise typical AI problems, explain typical features of AI problems and think up examples of AI problems.
  • Explain the relationship between a problem space and a search tree, explain fundamental search methods and their differences, produce an algorithm in pseudo code for elementary search techniques and select and apply search techniques in basic examples.
  • Cite examples of different types of knowledge representation and produce effective types of representation for basic examples.
  • Explain the methods for solving constraint satisfaction problems, and use them in basic examples.
  • Explain the essence of different learning methods and elaborate on the details of these methods in basic examples.
Content

The aim of the course is to give students a first impression of the field of Artificial Intelligence, without going into too much technical detail. The course will cover:

  • What Artificial Intelligence is and an example of how AI techniques can be applied to an existing software system.
  • Fundamental search techniques and their application.
  • Types of knowledge representation, the main languages which are used and an example of their application in the field of Artificial Intelligence.
  • Constraint satisfaction problems.
  • Learning through computers, the main techniques which are used and an example of their application.
Additional comments
Most lectures are shared with SOW-BKI125 (a lighter version of this course).

Levels
AI-B1

Test information
Multiple-choice exam: 90%, minimum passing grade 5.5.
Assignments (honest effort): 10%, no resit possible.

Prerequisites
Some knowledge of mathematics, programming and formal logic is beneficial.

Contact information
Dr. P.A. Kamsteeg, T. 024-3612682, E: p.kamsteeg@donders.ru.nl

Required materials
Book
Poole, D.I.R. & Mackworth, A.K.P. Artificial Intelligence: Foundations of Computational Agents (2nd ed.). Cambridge University Press, 2017. (The entire book is legitimately available via http://artint.info/2e/html/ArtInt2e.html).
ISBN:9781107195394

Instructional modes
Lecture

Practice sessions

Question-and-answer seminars

Tests
Exam
Test weight90
OpportunitiesBlock PER2, Block PER3

Assignments
Test weight10
OpportunitiesBlock PER2