3 ECTS credits
75 h study time

Offer 1 with catalog number 1015224ANR for all students in the 2nd semester at a (A) Bachelor - preliminary level.

Semester
2nd semester
Enrollment based on exam contract
Impossible
Grading method
Grading (scale from 0 to 20)
Can retake in second session
Yes
Enrollment Requirements
The enrolment requirement is only valid for bachelor students mathematics and data science. Students must have followed 'Discrete Mathematics', 'Linear Algebra', 'Mathematical Analysis I' and 'Mathematical Analysis II'
Taught in
Dutch
Faculty
Faculty of Sciences and Bioengineering Sciences
Department
Mathematics
Educational team
Ingrid Daubechies
Philippe Cara (course titular)
Activities and contact hours
13 contact hours Lecture
13 contact hours Seminar, Exercises or Practicals
Course Content

Measure theory, Shannon capacity, entropy, compression.

Additional info

see webpage Book by McKay and lecture notes, see website http://homepages.ulb.ac.be/~pcara/teaching.html#WisTech

Learning Outcomes

General competencies

The student understands the main concepts of information theory and the mathematical models for information.

The student can prove bounds on how much information can be transported over a given channel, how much (lossless) compression is possible, ...

The student can translate the mathematical results into practical language for technology.

Grading

The final grade is composed based on the following categories:
Other Exam determines 100% of the final mark.

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

  • examen (schrift. of mond.) with a relative weight of 1 which comprises 100% of the final mark.

    Note: Zowel oefeningen als theorie.

Additional info regarding evaluation

Written exam (theory + exercises). In case Prof. Daubechies does not teach the course, the theory exam will be oral.

Allowed unsatisfactory mark
The supplementary Teaching and Examination Regulations of your faculty stipulate whether an allowed unsatisfactory mark for this programme unit is permitted.

Academic context

This offer is part of the following study plans:
Bachelor of Mathematics and Data Science: Standaard traject (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Artificial Intelligence (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Multimedia (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering (only offered in Dutch)
Master in Applied Sciences and Engineering: Computer Science: Data Management and Analytics (only offered in Dutch)
Master of Applied Sciences and Engineering: Computer Science: Artificial Intelligence
Master of Applied Sciences and Engineering: Computer Science: Multimedia
Master of Applied Sciences and Engineering: Computer Science: Software Languages and Software Engineering
Master of Applied Sciences and Engineering: Computer Science: Data Management and Analytics