Targeted level of study
BAC +4
Duration
120 hours
Training structure
Faculty of Economics
Presentation
- Teaching fields : Economics, management
- Type of diploma: DU
- Keywords: Economy, free software, computer science
- Dimitri DUBOIS, CNRS Research Engineer
- Study Abroad Opportunities: No
- UFR : UFR of Economics
- Type of training: Initial and continuing education
This course is designed to familiarize students with computer terms and the operation of a computer (Module 1), train them in web development and the creation of online questionnaires (Module 2), train them in programming (Module 3) and train them in data science (Module 4).
The courses are given by engineers (CNRS and INRA), with free and multi-platform software, thus allowing an application of the lessons at home and/or on one's workstation without constraint of license and/or operating system.
At the end of the course, the student knows how a computer and a network work and is aware of current data security issues. He/she is able to work on a website (content and formatting modification, development), to develop simple programs (scripts and graphs) and to carry out descriptive statistics on data, in R and in Python, with a notebook rendering format
Person in charge : Dimitri DUBOIS
Tel : 04 34 43 25 42 - E-mail : dimitri.dubois @ umontpellier.fr @
The advantages of the training
Find all the useful information on the web page of the training manager.
Click on the "CFI2L" tab for more information about the degree.
Objectives
- Acquire basic computer skills
- Discover Linux
- Learn about and use free software
- Learn how to create a website
- Learn to develop a computer program
- Learn to analyze data
Organization
Knowledge control
- Continuous assessment on practical work
- Final exam of 2 hours covering all the subjects studied
Program
Module 1: General culture (20h)
- Digital identity, data protection, cloud computing, hardware components, free software ...
- Alternative operating systems and virtualization
Module 2: Web development (25h)
- HTML / CSS / javascript
- LimeSurvey
Module 3: Programming (35h)
- Algorithms and object programming
- C
- Python base
Module 4: Data Science (40h)
- Databases
- R
- Advanced Python
Admission
Conditions of access
Target audience
Hold a Master 1 or equivalent.
Tuition fees
Registration fee: 450€ (+ ancillary costs) // 2200€ for continuing education.
Registration from July to October at the registration office of the Faculty of Economics.
+ More details: DU Economy registration
And then
Further studies
The main purpose of this training is to complete an initial disciplinary training already acquired by a technical training, which is essential in today's working world.