How can I tell whether an AI program teaches fundamentals rather than just current tools?
To judge this, examine the program curriculum and individual syllabi. Look for a progression of foundations such as mathematics and statistics, programming, algorithms, data structures, and computer systems. Check whether assignments and examinations require explaining principles, implementing methods, evaluating results, and considering ethics—not only operating named AI tools—and whether the learning remains useful when tools change. Official information can be supplemented by questions at information sessions or to current students.
Key points
- Check learning objectives, class content, and assessment methods in the syllabi, not only course titles.
- Look for a staged progression of foundational study in mathematics, statistics, programming, algorithms, and data structures.
- Check whether exercises require implementation, comparison or evaluation, and explanation of results rather than tool use alone.
- Ask how the curriculum is revised and how it avoids dependence on particular products or platforms.
Things to check
- Course structure and depth vary by university, faculty, program, and academic year, so confirm the latest official information for the program you are considering.