Introduction Artificial Intelligence
Course infoSchedule
Course moduleSOW-BKI135
Credits (ECTS)3
CategoryB1 (First year bachelor)
Language of instructionEnglish
Offered byRadboud University; Faculty of Social Sciences; Artificial Intelligence;
PreviousNext 4
prof. dr. T. Bosse
Other course modules lecturer
A. Diehl, MSc
Other course modules lecturer
prof. dr. M.A.J. van Gerven
Other course modules lecturer
prof. dr. T.M. Heskes
Other course modules lecturer
prof. dr. ir. J.H.P. Kwisthout
Other course modules lecturer
Academic year2022
PER1  (05/09/2022 to 04/11/2022)
Starting block
Course mode
Registration using OSIRISYes
Course open to students from other facultiesYes
Waiting listNo
Placement procedure-

The overall learning aims of the course are that students are given a broad overview of the field, philosophy, and history of Artificial Intelligence and appreciate its diversity and interdisciplinary approach. As the first course in the AI bachelor programme, the course functions also as an introduction to the programme, highlighting particular topics that will be further explored in the remainder of the programme:

  • Symbolic AI: representing information and searching for solutions; further expanded in courses such as AI: Principles & Techniques and Knowledge Representation;
  • Subsymbolic AI: neural networks and machine learning; further expanded in courses such as Deep Learning and Reinforcement Learning;
  • Social AI: how artificial and natural agents interact; further expanded in courses such as Human Computer Interaction and Introduction to Robotics;
  • Cognition and AI: what does AI learn us about human cognition and vice versa; further expanded in courses such as Cognitive Psychology and Brain.
Students will encounter different perspectives on the question "what is artificial intelligence" and will get experience with several study methods, ranging from critical discussion of papers to making exercises.

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:

  • The history, development, and philosophy of AI.
  • 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.
  • Learning through computers, the main techniques which are used and an example of their application.
  • Neural networks and brain-inspired AI.
  • Social AI, human-computer interaction, and implications of AI.
  • The relation between AI and Cognitive Science.
Presumed foreknowledge
The course is introductory and requires no specific background knowledge other than the entry requirements for the AI bachelor programme.
Test information
Multiple-choice exam: 90%, minimum passing grade 5.5.
Assignments (honest effort): 10% (only if higher than exam), no resit possible.

Grading for each part is registered in Brightspace, only the final grade is published in Osiris.
Please sign up for any course at (, it is obligatory.

Students who are enrolled for a course are also provisionally registered for the exam. Please note that participation in the exam is only possible if all relevant conditions laid down in the EER are met. Students who, after being checked, are found not to meet these conditions shall be excluded from the exam. In that case participation is possible on special grounds and with a permit written by the student counselor. 

Re-examination: register at ( until five days prior to the date of the exam.

We urge you to always read the course information on Brightspace. There are courses for which you are obliged to register for tutorials and/or practicals.
Required materials
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

Instructional modes

Practice sessions

Question-and-answer seminars

Final grade
Test weight1
Test typeDigital exam with CIRRUS
OpportunitiesBlock PER1, Block PER2