| Course label : | Python and tools for research |
|---|---|
| Teaching departement : | EEA / Electrotechnics - Electronics - Control Systems |
| Teaching manager : | Mister PIERRE-ANTOINE THOUVENIN / Mister PIERRE CHAINAIS |
| Education language : | |
| Potential ects : | 0 |
| Results grid : | |
| Code and label (hp) : | MR_DS_S1_PTR - Python and tools for research |
Education team
Teachers : Mister PIERRE-ANTOINE THOUVENIN / Mister PIERRE CHAINAIS
External contributors (business, research, secondary education): various temporary teachers
Summary
Basic notions and structures of Python and popular modules (numpy, scipy, sklearn, etc.). Fundamentals of object-oriented programming with Python. Hands on, plus some presentation of useful tools such as LaTex and Bibtex. The labs will illustrate: - the ability of Python to quickly translate into code very usual linear algebra operations as well as statistical procedures; - the benefits of object-oriented programming (with ML oriented examples); - the power of Latex/Bibtex for scientific document editing.
Educational goals
After successfully taking this course, students should be able to: - manipulate usual structures of Python; - implement object-oriented programs in Python; - understand the notion of class and object; - understand the concepts of encapsulation and inheritance; - write Python code abiding by usual notation, comment and documentation conventions; - systematically test their codes (through unit tests, debugging); - use several ML-oriented Python modules (numpy, scipy, sklearn); - write a report using LaTex and Bibtex; - explore bibliographic databases and administrate a bibliography.
Sustainable development goals
Knowledge control procedures
Continuous Assessment
Comments: Continuous evaluation.
Labs, grading scale: (min) 0 = 20 (max) - Passing grade = 10/20
Online resources
List of references, documents, .tex resources and lab notebooks, made available on Moodle.
Pedagogy
Lab sessions. Language of instruction is specified in the course offering information in the course and programme directory. English is the default language.
Sequencing / learning methods
| Number of hours - Lectures : | 12 |
|---|---|
| Number of hours - Tutorial : | 12 |
| Number of hours - Practical work : | 0 |
| Number of hours - Seminar : | 0 |
| Number of hours - Half-group seminar : | 0 |
| Number of student hours in TEA (Autonomous learning) : | 0 |
| Number of student hours in TNE (Non-supervised activities) : | 0 |
| Number of hours in CB (Fixed exams) : | 0 |
| Number of student hours in PER (Personal work) : | 0 |
| Number of hours - Projects : | 0 |
Prerequisites
Basics of programming in Python. Refresher course in computer science. Basic notions of C programming.