Programming in Economics and Management

linge1225  2020-2021  Louvain-la-Neuve

Programming in Economics and Management
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).
4 credits
22.5 h + 22.5 h
Saerens Marco;

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.

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, some inspired by the book by Swinnen. Many online Python exercices are also available (Inginious online system).
  • 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

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

Practice based on online exercices. Remedial actions are organized on site with the assistants.
Evaluation methods

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

Evaluation: A written exam will take place during the review session (either on-site or remotely, depending on the situation). Note that this review will focus on solving practical programming in Python (writing methods and classes). We are not asking that the student knows by heart the syntax of Python: the student will be allowed to use a quick reference guide  (the one provided by the Professor) during the examination.
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
Minor in Statistics, Actuarial Sciences and Data Sciences

Bachelor : Business Engineering

Approfondissement en statistique et sciences des données