Programming in Economics and Management

linge1225  2021-2022  Louvain-la-Neuve

Programming in Economics and Management
4.00 credits
22.5 h + 22.5 h

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
This course has the following objectives:
  •  Mastering the basic concepts of object-oriented programming languages.
  • Introduction to the Python programming language.
  • Solving practical problems by programming.
Learning outcomes

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

1 At the end of this course, students should be able to:
  •  Write a program in Java.
  • Analyze a problem and find a solution through programming.
  • Undertake a small project in Python.
  • Contents of the course: Fudamentals of programming in Python. In particular, basic concepts of programming languages, used in object-oriented programming, illustrated on the Python language (objects, variables, expressions, control structures, data types (arrays, lists, etc), methods, etc). The focus will be on the construction of programs based on practical problems to be solved. Only a synthesis of the theoretical concepts will be presented; we therefore ask the students to read and already understand the covered topics before each course.
  • Contents of the practical sessions: Practical sessions (tutorials and exercises, two hours each week), based on the theoretical content, will be organized on-line all along the period. During these sessions, the students are asked to solve  exercises with Python on the Inginious online system, some inspired by the book by Swinnen. Many other online Python exercices are also available. Questions & answers sessions will also be organized on site if possible.
  • Practical organization: These exercises are on-line. Students should have read (and understood) the corresponding material before in order to solve the problems.
Teaching methods
Practice based on online exercices. Remedial actions are organized on site with the assistants, if possible. Otherwize they will be online.
Evaluation methods
  • If possible, and thus depending on the situation, an optional written test will take place on site around week 9. The result of this test will count for 4 to 6 points on 20 (the precise value will be communicated to the students during the beginning of the semester)) for the final grade of the january review period only. If the test cannot be organized or if the student did not pass the test, only the written exam of January will be taken into account for the final grade. Note that the test mark cannot be reported to the August exams session; in August, the final grade will be based on the written exam only.
  • A written exam will take place during the review session (either on-site or remotely, depending on the situation). This exam will focus on solving practical programming problems in Python (writing methods and classes). Note that we are not asking that the student knows by heart the syntax of Python: students will be allowed to use a quick reference guide  (the one provided by the Professor) during the examination. The exam will be 14 to 16 points on 20 worth in January and 20 on 20 on August (the test is not taken into account during the August review period).
Online resources
The different resources are available on Moodle (slides, synthesis slides, In particular, the book "Apprendre à programmer avec Python 3" of Swinnen will be used as reference book.
Teaching materials
  • "Apprendre à programmer avec Python 3" de G. Swinnen
Faculty or entity

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

Title of the programme
Learning outcomes
Bachelor : Business Engineering

Approfondissement en statistique et sciences des données

Minor in Statistics, Actuarial Sciences and Data Sciences