Study Programmes 2025-2026
MATI0001-1  
Mathematics and computer science
Volume horaire :
12h Th
Number of credits :
Bachelor's degree : Computer graphics (Bachelor in Computer graphics)1
Lecturer :
Emmanuel DEMUELENAERE, Caroline DUBOIS, Rachelle VAFIDIS
Référent UE :
Caroline DUBOIS
Language(s) of instruction :
French language
Organisation and examination :
Teaching in the first semester, review in January
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Learning unit contents :
The topics covered in this learning activity (LO) focus on two fundamental areas: propositional logic and information encoding.

The first part introduces the basics of formal logic: the nature and truth value of propositions, logical operators, truth tables, quantifiers, converses, and contrapositives.

The second part is dedicated to coding systems used in computer science: binary and hexadecimal representations, base conversions, number encoding, alphanumeric encoding (ASCII), and the use of binary/hexadecimal for color representation.
Learning outcomes of the learning unit :
Collaborate in the design, improvement and development of technical projects:

  • Develop a working methodology
  • Analyze a given situation from its technical and scientific aspects
  • Propose solutions that take constraints into account
Prerequisite knowledge and skills :
/
Planned learning activities and teaching methods :
Theoretical lectures

Teaching methods for this course include

  • Concept presentation: progressive explanation of key notions using diagrams, concrete examples, and demonstrations.
  • Guided exercises: step-by-step examples completed with the instructor to illustrate the concepts.
  • Independent exercises: solving a variety of exercises (logic, calculations, conversions) to strengthen individual skills.
  • Q&A sessions: to clarify difficulties and explore specific points in greater depth.
Mode of delivery (face to face, distance learning, hybrid learning) :
In-person or hybrid teaching.
Recommended or required readings :
Course materials: Available on the institutional course platform
Assessment methods and criteria :
Mode of assessment: In-person

Assessment format: Written exam

Type of assessment: Course unit exam during the official exam session

Exam format: Multiple-choice questions (MCQ), multiple-response questions (MRQ), numerical answers and/or open-ended questions

Grading method: 100% of the final grade

Assessment for resits: Same assessment format for all sessions
Work placement(s) :
/  
Organizational remarks :
Location: Namur

Program schedule: Daytime classes

LO schedule: see hyperplanning : https://heaj-planning.hyperplanning.fr/hp/etudiant
Contacts :
coordination.tib1@heaj.be