FDD LAship Announcement: IF100
IF100 Learning Assistant (LA) Applications
We are now accepting applications for Learning Assistants (LAs) for IF100 Computational Approaches to Problem Solving for the Fall 2025–2026 semester.
This is a valuable opportunity if you would like to:
- Engage with first-year students and support them in understanding core concepts,
- Be part of a teaching team that helps students gain one of the most essential skills for their professional lives,
- Receive a work scholarship based on your weekly working hours.
If you are interested in applying for this position, please complete the application form by 23:59 on Tuesday, September 23rd.
Please note that a preselection process will be carried out among applicants, and selected candidates may be invited to a short oral interview before the semester begins.
About IF100
Computational Approaches to Problem Solving introduces key concepts in computational thinking, such as algorithmic thinking, abstraction, and decomposition. Students also gain foundational programming skills to apply these concepts in practice. The course covers:
- Designing algorithms and breaking down problems into subproblems,
- Building solutions through composition,
- Evaluating solutions for correctness and efficiency,
- Learning basic programming concepts (variables, conditionals, iteration, functions) using a simple language such as Python.
Through lectures, practicing assignments, and interactive recitations tailored to different disciplines, students develop both theoretical understanding and practical skills in computational problem solving.