IEAP M1 prerequisites: to do before the first classes

Section outline

• Select section General

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  General

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  Below is a list of what you, IEAP Master student, need to do BEFORE attending the first class of each course.

  All these prerequisites are at undergraduate level, but it may take you some time to complete them.

  Please start as soon as possible.

  All prerequisites must be met before the end of August 2026. 

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      Come to the first class with an extension cord and a multiple socket.

      For all sessions of all courses, you'll need your own computer, and your computer will (probably) need a power connection.

      Come to all courses with an extension cord and a multiple socket.
• Select section SAMID1PY: Python, R and Git for data analysis

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  SAMID1PY: Python, R and Git for data analysis

  Before attending the first class, you must ensure that you have a working installation of the necessary software on your personal computer.

  Start by installing Python as soon as possible, as you will need it for the other courses. 

  TODO: 

  1. Install python: https://github.com/DenisMot/Python-minimal-install
     • Do Python-Series-00
  2. Install GitHub desktop: https://github.com/apps/desktop
     • Do Git-Series-00
  3. Install RStudio: https://posit.co/download/rstudio-desktop
     • Do RStudio-Series-00

  • Select activity Python-Series-00

    

    Python-Series-00 File HTML

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  • Select activity Git-Series-00

    

    Git-Series-00 File HTML

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  • Select activity RStudio-Series-00

    

    RStudio-Series-00 File HTML

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• Select section SAMID1MA: Mathematical Analysis

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  SAMID1MA: Mathematical Analysis

  • Select activity To be done before the first session

    To be done before the first session

    Before attending the first course, you must ensure that you have a Python working installation of the necessary software on your personal computer. To do so, see the SAMID1PY: Python, R  and Git for data analysis section.

  • Select activity Course material

    

    Course material File

    This file corresponds to the course material. You are asked to have read it (at least the first chapter) for the first session which will be devoted to implementation.

• Select section SAMID1MP: Mechanical Principles, Kinematics, Kinetics, Muscle and Join

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  SAMID1MP: Mechanical Principles, Kinematics, Kinetics, Muscle and Join

  • Select activity A very simple introduction to kinematics...

    

    A very simple introduction to kinematics... File

    Before attending the first class, please review and learn the basic concepts of kinematics. Having a solid understanding of these fundamental principles will help you get the most out of our discussions and practical activities.

    In addition, please complete all exercises provided in the Excel spreadsheet before the first session.

    To develop your data analysis skills, you should also reproduce these exercises using Python:

    Import the Excel data into a Jupyter Notebook.
    Perform the same calculations and analyses as those required in the spreadsheet.
    Create appropriate graphs and visualizations whenever they help answer the questions or better illustrate the results.
    Clearly document your code and provide brief interpretations of your findings.

    This exercise will help you become familiar with basic data processing, visualization, and scientific programming tools commonly used in movement science.

  • Select activity Marathon splits analysis

    

    Marathon splits analysis File
• Select section SAMID1MU: Modeling using dynamical systems

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  SAMID1MU: Modeling using dynamical systems

  Before the first class, you are asked to read the first pre-class lecture on discrete-time dynamical systems (essentially, iterating maps). Therein, you will have to try out the Checkpoint Questions (quick and to be attempted while studying the document) as well as the Readiness check (a bit longer, to attempt after reading the studying the document). Come to class with your written answers to the readiness check, as indicated at the end of the document. The PDF pre-class lecture can be downloaded from the Moodle page of the course. We will only work with Python in class; a stable distribution should be installed on your computer, as well as the possibility and read, execute and produce notebooks. 
  Overall, we will rapidly need to manipulate derivatives (when working with continuous-time dynamical systems. So make sure you understand this part of the mathematical prerequisites proposed in the document by E. Le Clezio.