lepl1402  2020-2021  Louvain-la-Neuve

Due to the COVID-19 crisis, the information below is subject to change, in particular that concerning the teaching mode (presential, distance or in a comodal or hybrid format).
5 credits
30.0 h + 30.0 h
Q1
Language
French
Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Content
This teaching unit focuses on:
- Introduction to Java: compilation, byte-code, virtual machine, primitive type, strings, tables
- Abstract data types;
- Linear and tree structures, and their applications;
- recursive solution formulation and recursive algorithms;
- reasoning technique: preconditions, postconditions, invariants
- Notions of computational complexity and analysis of the temporal and spatial complexity of an algorithm;
- Functional programming and higher order programming
- Object-oriented modeling (inheritance, composition, reuse, polymorphism, class invariant);
- Introduction to design patterns;
- Program testing and validation methods;
- Introduction to parallelization: notion of thread and synchronization mechanisms.
Students who have successfully completed this course will be able to
  • to design Java programs
  • analyze programs according to their performance
  • to prove correctness of programs using invariants
  • apply the principles of object-oriented programming such as genericity, abstraction, composition and reuse
  • design and implement variants of the algorithms studied in high quality Java programs.
  • design and manipulate simple linear and tree and recursive structures
  • design tests for programs
  • design functional programming approaches to solve small algorithmic problems
  • use design patterns
  • design simple parallel programs with synchronization mechanisms
Teaching methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

Lectures + Exercices on Inginious + lab sessions with TA
Evaluation methods

Due to the COVID-19 crisis, the information in this section is particularly likely to change.

An optional quiz (in two parts) is held, counting towards the Continuing Assessment only if the score is higher than the exam score.
The purpose of the exam in January is to test not only knowledge of the subject, but also the ability to apply the knowledge acquired to write programs. The exam and quiz will use the Inginious grading system.
In case of detection of plagiarism confirmed by a plagiarism detection tool the course teachers reserve the right to let the student take an oral test.
 
 
Other information
Background: LEPL1401 or a similar course
Online resources
https://lepl1402.readthedocs.io/ (pour les liens vers les slides et contenu du cours)
https://moodleucl.uclouvain.be/course/view.php?id=12884 Moodle (pour la communication avec les étudiants)
https://inginious.info.ucl.ac.be/course/LEPL1402 pour les exercices
Faculty or entity
Force majeure
Evaluation methods
An optional quiz (in two parts) is held, counting towards the Continuing Assessment only if the score is higher than the exam score.
The purpose of the exam in January is to test not only knowledge of the subject, but also the ability to apply the knowledge acquired to write programs. The exam and quiz will use the Inginious grading system.
In case of detection of plagiarism confirmed by a plagiarism detection tool the course teachers reserve the right to let the student take an oral test.


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Aims
Master [120] in Data Science : Statistic

Master [120] in Linguistics

Minor in Computer Sciences

Minor in Statistics, Actuarial Sciences and Data Sciences

Bachelor in Computer Science

Bachelor in Mathematics

Bachelor in Engineering

Approfondissement en statistique et sciences des données

Minor in numerical technologies and society