Project 4 (in informatics)

lepl1509  2025-2026  Louvain-la-Neuve

Project 4 (in informatics)
5.00 credits
30.0 h + 22.5 h
Q2
Teacher(s)
Language
French
Prerequisites
This project supposes acquired the notions of algorithmic, programmation as developed in the courses LEPL1401, LINFO1101 and LEPL1402

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.
Main themes
For example, depending of the precis topic of the project:
  • mobile computing;
  • programming using a object-oriented language;
  • networking and communication;
  • graphic interface;
  • event-driven programming;
  • client-server.
Learning outcomes

At the end of this learning unit, the student is able to :

Regarding the learning outcomes of the program of Bachelor in Engineering, this course contributes to the development and the acquisition of the following learning outcomes:
  • LO 1.1, 1.2
  • LO 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.9
  • LO 3.1, 3.2
  • LO 4.1, 4.2, 4.3, 4.4, 4.5
  • LO 5.1, 5.3, 5.4
Given the learning outcomes of the "Bachelor in Engineering" program, this course contributes to the development, acquisition and evaluation of the following learning outcomes:
  • S1.I5
  • S2.1-5
  • S3.1-3
  • S4.1-6
  • S5.1, S5.3, S5.4
 
Content
  • The software to be defined and designed will be linked to mobile computing (an Android-compatible application).
  • The project will be opened. Each group will develop its own project and propose a schedule as well as intermediate steps.
  • An Agile approach (iterative and incremental development) will be implemented.
  • The development of the application will be done using generative AIs and other AI-based development tools. A critical usage of the tools is done, with a reflection from the students on the utility of these tools.
Teaching methods
  • The project will be done by group of students (4-5 students per group)
  • Students will be encouraged to communicate in English on a technical theme, orally and/or in writing, to improve their communication skills in English about technical topics.
Evaluation methods
The final grade will depend on 
  • the grade obtained for the project, including the achievements and realization, the written document produced, the oral presentations and interactions, the work organization, and the reflection on this organization, and the mastery of the topics and concepts related to the project. This part of the grade can be individualized depending on the student's implication in his/her group during the semester (compulsory assistance, participation in activities, intermediate works, and graded production). The activities related to this part of the grade cannot be re-taken in the second session.
  • the grade obtained for an individual's written test taking place outside of the exam period.
The weight of the grade for the written test will be 30% if the grade is 10 or more, and 100% if the grade is 6 or less. For grades between 6 and 10, it will depend linearly on the grade according to weight = 1 - 0.7*(grade - 6)/4
The second session will consist of an individual exam in addition to individual work to be done beforehand. The individual work is being organised as a 2-week sprint. We recommend that you contact the professor as soon as possible (before the official start of the second session at the latest) to learn about the content of the work. 
Other information
This course is part of the set of courses « Project 4 » of the program of bachelor in engineering. Projects 4 share common transversal objectives, but exists under different versions oriented towards specific disciplinary objectives, corresponding to the options of the program. Each student chooses a project related to one of his/her options.
The use of generative IA is allowed:
  • in reports: for spelling/grammatical correction only
  • during the development of the application: mandatory. It is asked to document and criticize the use done.
Online resources
Moodle "LEPL1509 - Project 4 (in Computer Science)"
Faculty or entity


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

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Bachelor in Engineering

Bachelor in Computer Science

Minor in Statistics, Actuarial Sciences and Data Sciences