Practical work in Python 3rd year

Sun, 01 Sep 2024 00:00:00 +0000

Overview

Course Title: Python for 3rd-Year Physics Students
Duration: 36 hours

Topics Covered:

Core programming concepts: lists, strings, loops, functions, classes.
Modules and library examples: NumPy, Matplotlib, SciPy.
Collaborative project work in the second half of the semester.

Teaching Methodology:
The course combines guided lectures, notebook-based exercises, and interactive discussions. Students progressively work on group projects, fostering problem-solving and teamwork skills.

Evaluation Criteria

Grades are based on:

Performance in exercises.
Group project (code quality, report, and oral presentation).

Pedagogical Challenges

Introducing programming concepts to beginners.
Guiding group organization and dynamics.
Emphasizing scientific rigor in project development.
Illustrating the utility of simulations, and their exploitation.
Addressing the integration of coding with/without LLM tools.

Personal Contributions

Beyond classroom instruction, my contributions include:

Enhancing Course Content:
- Added corrections to notebook exercises.
- Introduced a section on efficient computation using NumPy (loop avoidance).
- Designed a new notebook on the Pandas library for optional data analysis applications.
Support for Scientific Writing:
- Developed a comprehensive introduction to LaTeX, enabling students to draft professional-quality reports despite prior unfamiliarity.

Teaching | Matthieu Pelissier

Practical work in Python 3rd year

Overview

Evaluation Criteria

Pedagogical Challenges

Personal Contributions