3 ECTS credits
90 h study time

Offer 1 with catalog number 4016393ENR for all students in the 1st semester at a (E) Master - advanced level.

1st semester
Enrollment based on exam contract
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Taught in
Faculty of Engineering
Electronics and Informatics
Educational team
Bart JANSEN (course titular)
Activities and contact hours
12 contact hours Lecture
36 contact hours Seminar, Exercises or Practicals
Course Content

The first aim of this course is to introduce a number of programming constructs that go beyond the topics covered in the course Scripting Languages. This extends the student's knowledge of the Python programming language.

A second aim of this course is to expose the student to at least three different programming paradigms: object oriented programming, logic programming and functional programming. It is discusssed in what sense some languages might support a single or multiple paradigms,

Course material
Digital course material (Required) : slideset "Advanced Programming Concepts", made available for free by the author at: http://math.hws.edu/eck/cs124/downloads/javanotes5.pdf, Bart Jansen, Leerplatform/Educational platform Pointcarre
Handbook (Recommended) : Practical Programming (2nd edition), An Introduction to Computer Science Using Python 3, Paul Gries, Jennifer Campbell, Jason Montojo, 2de, Dienst Uitgaven, 9781937785451, 2013
Digital course material (Recommended) : advanced programming concepts
Additional info


Learning Outcomes

Algemene competenties

The student has an understanding of a number of essential advanced concepts, can use these concepts in Python and is able to apply them to practical problems. The student works in a team to elaborate a programming project. He/she is able to define tasks within such context of cooperation, to select the tools for this purpose and to use them to elaborate these tasks. He/she is able to report on the realized work.

This course contributes to the following programme outcomes of the Master in Applied Computer Sciences:

MA_A: Knowledge oriented competence

4. The Master in Engineering Sciences can reformulate complex engineering problems in order to solve them (simplifying assumptions, reducing complexity)

8. The Master in Engineering Sciences can collaborate in a (multidisciplinary) team

11. The Master in Engineering Sciences can think critically about and evaluate projects, systems and processes, particularly when based on incomplete, contradictory and/or redundant information

MA_B:  Attitude

12. The Master in Engineering Sciences has a creative, problem-solving, result-driven and evidence-based attitude, aiming at innovation and applicability in industry and society

MA_C:  Specific competence

21. The Master in Applied Computer Sciences has a thorough knowledge of programming concepts and can apply them in smart systems of systems




The final grade is composed based on the following categories:
Oral Exam determines 75% of the final mark.
SELF Report determines 25% of the final mark.

Within the Oral Exam category, the following assignments need to be completed:

  • oral examination with a relative weight of 1 which comprises 75% of the final mark.

Within the SELF Report category, the following assignments need to be completed:

  • report project with a relative weight of 1 which comprises 25% of the final mark.

    Note: to be submitted before the start of the exam session

Additional info regarding evaluation

Twentyfive percent of the exam score are associated to the programming project. The evaluation is based on a written report from the students that has to be submitted to the teacher before the start of the exam period.

The remaining seventyfive percent of the score are associated to an oral exam. The exam questions consist of two main questions. The procedure is as follows: a minimum of 15 minutes of preparation time with the course notes, followed by a discussion with the examinator.

Academic context

This offer is part of the following study plans:
Master in Applied Sciences and Engineering: Applied Computer Science: Standaard traject