Economics - Management

UNIVERSITY DIPLOMA: FUNDAMENTAL KNOWLEDGE IN COMPUTER SCIENCE AND FREE SOFTWARE

  • Target level of study

    BAC +4

  • Duration

    120 hours

  • Training structure

    Faculty of Economics

Presentation

  • Teaching areas: Economics, management, business administration
  • Type of diploma: DU
  • Keywords: Economy, free software, IT
  • Dimitri DUBOIS, CNRS Research Engineer
  • Study abroad opportunities: No
  • UFR : UFR of Economics
  • Type of training: Initial and continuing training

 

The course is designed to familiarize participants with computer terms and computer operation (module 1), web development and the creation of online questionnaires (module 2), programming (module 3) and data science (module 4).

The courses are taught by engineers (CNRS and INRA), using open-source, multi-platform software, enabling students to apply the lessons at home and/or on their workstations, with no license and/or operating system constraints.

At the end of the course, students will know how a computer and a network work, and will be aware of current data security issues. They will be able to work on a website (modifying content and formatting, development), develop simple programs (scripts and graphics) and carry out descriptive statistics on data, in R and Python, with a notebook output.

Manager: Dimitri DUBOIS

Tel : 04 34 43 25 42 - Mél :  dimitri.dubois @ umontpellier.fr @

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Training benefits

Find all the information you need on the Training Manager's web page.

Click on the "CFI2L" tab for more information on the diploma.

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Objectives

  • Acquire basic computer skills
  • Discover Linux
  • Getting to know and using free software
  • Learn how to create a website
  • Learn how to develop a computer program
  • Learn to analyze data
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Organization

Knowledge control

  • Continuous assessment of practical work
  • 2-hour final exam covering all subjects studied
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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
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Admission

Access conditions

Target audience

Hold a Master 1 or equivalent.

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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 Economics registration

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And then

Further studies

The main aim of this course is to complement the initial disciplinary training already acquired with the technical training that is indispensable in today's working world.

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