This learning unit is not being organized during year 2024-2025.
This learning unit is not open to incoming exchange students!
Language
French
Prerequisites
This course assumes the mastery of programming and program design in an object-oriented language such as Java, knowledge of elementary data structures and notions of recursion and computational complexity as targeted by the course LEPL1402.
The prerequisite(s) for this Teaching Unit (Unit茅 d鈥檈nseignement 鈥� UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
The prerequisite(s) for this Teaching Unit (Unit茅 d鈥檈nseignement 鈥� UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
The prerequisite(s) for this Teaching Unit (Unit茅 d鈥檈nseignement 鈥� UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
- Complexity measures of an algorithm and complexity analysis methods.
- Dichotomic sorting and search algorithms.
- Basic data structures (lists, trees, binary search trees): study of their abstract properties, their concrete representations, their application and the main algorithms that manipulate them.
- Advanced data structures (union-find, hash tables, heaps, balanced binary trees, graph representation and manipulation, textual data processing, dictionaries).
Learning outcomes
At the end of this learning unit, the student is able to : | |
Given the learning outcomes of the "Bachelor in Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
Given the learning outcomes of the "Bachelor in Computer science" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
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Content
- Computational complexity,
- Trees, binary search trees,
- Balanced trees,
- Dictionaries and hash tables,
- Priority queues and heaps
- Graphs,
- Text processing (pattern matching, compression algorithms)
Teaching methods
The active pedagogy method followed in this course is inspired by reverse classes. There are six two-week modules. Each module includes an introductory course to the subject, theoretical exercises to prepare, chapters from the reference book to read, a practical work on correcting exercises in the middle of the model, work on inginious to be carried out (Java programs) and finally a restructuring course at the end of the module. One of the essential components of this pedagogy consists in making each student learn by himself. The success of the learning process therefore presupposes a significant involvement of each student. The actual learning remains the responsibility of each student. To pass the exam it is imperative that the student programs regularly.
Evaluation methods
For the exam, the students will have to program tasks on inginious https://inginious.info.ucl.ac.be followed by an optional discussion with the teacher as a regular oral exam in case the student does not think the ingininious score reflects his expertise in the course.
One mid-term quizz quizz might be proposed on two听points during smart week but it can听only impact positively on your final grade.
One participation grade will also be taken into account for two points for the first session, but not for the second session.
One mid-term quizz quizz might be proposed on two听points during smart week but it can听only impact positively on your final grade.
One participation grade will also be taken into account for two points for the first session, but not for the second session.
听
Other information
Background:听
- master an object-oriented programming language (p.e. Java)
- know an use correctly basic data structures (stacks, queues, lists, etc..)
- have basic knowledge of recursion and computational complexity.
This background is part of the content of LEPL1401 and LEPL1402.
Online resources
+ questions on the course website (reachable from Moodle).
Bibliography
Livre obligatoire:
Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne, Addison-Wesley Professional.
ISBN-13: 978-0321573513
ISBN-10: 032157351X
Et plus g茅n茅ralement les documents (茅nonc茅s des missions, conseils pour l'examen, ...) disponibles sur :
Algorithms, 4th Edition by Robert Sedgewick and Kevin Wayne, Addison-Wesley Professional.
ISBN-13: 978-0321573513
ISBN-10: 032157351X
Et plus g茅n茅ralement les documents (茅nonc茅s des missions, conseils pour l'examen, ...) disponibles sur :
Faculty or entity
