Duration
24h Th, 24h Pr, 70h Proj.
Number of credits
Lecturer
Language(s) of instruction
English language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course runs as two parts: the first part addresses algorithmic problem solving and describes examples of advanced algorithms, using C as the reference programming language. The second part provides an introduction to programming design patterns, using Java as the reference programming language.
Specifically, the first part content comprises the following topics: programming as problem solving; advanced sorting; balanced search; radix search; external algorithms; algorithms on graphs.
Learning outcomes of the learning unit
In this course, the students learn: - the principles of complex program decomposition; - to write efficient programs - knowledge of advanced algorithmic techniques - to apply programming patterns
Prerequisite knowledge and skills
Knowledge of basic algorithms. Practical knowledge of the C and Java programming languages.
INFO0902 or INFO2050
INFO0062
Planned learning activities and teaching methods
Lectures and practicals, both involving problem solving in class. The students carry out several assignments: some individual programming assignments and some group mini-projects. The exact number and type of assignment varies depending on the year, although the student workload is kept similar.
Mode of delivery (face to face, distance learning, hybrid learning)
Q2. Weekly lectures and practicals for the first part, inverted classroom for the second part.
Depending on the covid-19 situation, the weekly meet-up could be moved online.
Organisational adjustments related to the current health context
Recommended or required readings
Optional recommended readings:
Introduction to algorithms; Cormen, Leiserson, Rivest and Stein; MIT press.
Algorithms in C; Sedgewick; Addison Wesley.
Design patterns; Gamma, Helm, Johnson, Vlissides; Addison-Wesley.
Assessment methods and criteria
Below you will find information on the evaluation methods planned for in-person and remote exams as well as those planned for hybrid sessions. Depending on how the health crisis evolves, the chosen method will be communicated to you no later than one month before the start of the exam session.
Any session :
- In-person
written exam ( multiple-choice questionnaire, open-ended questions )
- Remote
written exam ( multiple-choice questionnaire ) AND oral exam
- If evaluation in "hybrid"
preferred in-person
Additional information:
Written exam and assignments.The assignments count towards 40% of the final mark, while the exam counts towards 60% of the final mark. Each part of the course bears equal weight in the final mark.
During the written exam, the students can use the lecture and practical notes that were officially distributed on the myULiege course page (and only those).
Students who do not submit at least half the projects receive an absence mark for the corresponding exam session.
All resubmissions are individual.
There is no guaranteed support for projects to be resubmitted for the resit session.
COVID-19 2020-2021: exams will be at the university unless the sanitary situation forces remote exams.
Work placement(s)
Organizational remarks
Contacts
- Coordinator: L. Mathy, Laurent.Mathy@uliege.be
- Assistants: Sami Ben Mariem, sami.benmariem@uliege.be et Gaulthier Gain, gaulthier.gain@uliege.be