Classical mechanics
1–2Classical mechanics trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Physics · Matter, energy, space and time — from lab benches to the edge of the observable.
A physics curriculum is a sequence, not a shopping list. Early courses build shared vocabulary; middle years introduce methods; the final stretch demands a project that can fail in public.
Elective freedom varies: some systems lock professional accreditation hours; others allow wide minors. The courses below are the common spine, not every university's catalogue.
Classical mechanics trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Electromagnetism trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Quantum mechanics trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Statistical physics trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Optics trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Computational physics trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Lab methods trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
Relativity trains the habits physics depends on — not trivia for exams, but reusable technique for later studios, labs or clinics.
A condensed matter emphasis usually appears after foundations, when students choose seminars, labs or studios that deepen one problem family inside physics.
A particle/astro emphasis usually appears after foundations, when students choose seminars, labs or studios that deepen one problem family inside physics.
A applied physics emphasis usually appears after foundations, when students choose seminars, labs or studios that deepen one problem family inside physics.
A computational emphasis usually appears after foundations, when students choose seminars, labs or studios that deepen one problem family inside physics.
Physical modelling is practised weekly in physics programmes; the percentage is relative strength among skills on this page, not a grade.
Lab technique is practised weekly in physics programmes; the percentage is relative strength among skills on this page, not a grade.
Math fluency is practised weekly in physics programmes; the percentage is relative strength among skills on this page, not a grade.
Computation is practised weekly in physics programmes; the percentage is relative strength among skills on this page, not a grade.
Scientific writing is practised weekly in physics programmes; the percentage is relative strength among skills on this page, not a grade.
Instrument care is practised weekly in physics programmes; the percentage is relative strength among skills on this page, not a grade.
Large-group framing plus primary texts or problem sets that define the week's vocabulary.
Supervised practice where mistakes are expected and feedback is specific.
Small-group argument; silence is expensive because the group notices.
A public synthesis — defence, exhibition, clinic portfolio or engineered prototype.
Treat the catalogue as a map of practised skills, not a brand promise. The department that grades hard and returns work fast usually teaches more than the one that advertises prestige alone.
Algorithms, systems and software — how machines are made to reason, store and communicate.
Employability 94 ⚡Circuits, fields and signals — powering, sensing and communicating the physical world.
Employability 88 🔧Forces, materials and machines — designing things that move, bear load and last.
Employability 86 🌉Infrastructure that societies stand on — bridges, water, roads, cities and codes.
Employability 84 ⚗️Turning reactions into plants — scale, safety and efficiency from molecule to factory.
Employability 82 🛰️Flight in air and vacuum — structures, propulsion, guidance and certification.
Employability 76 📊Statistics, computing and domain sense — turning messy data into decisions that hold up.
Employability 92 🧮Proof, structure and abstraction — the language that other sciences borrow.
Employability 70 🧪Molecules and reactions — how substances change, bind and are made safely.
Employability 72 📉Uncertainty made usable — design, inference and the ethics of claiming a pattern is real.
Employability 88