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Exams in France

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Overview

Instead of a big table of mostly similar requirements, below is an overview highlighting the key differences:

  • Homework/projects that account for 30% of the grade:

    • Statistics, Data Mining: mandatory; after the week with lectures and exercise sessions

    • Neutrino Physics: optional; overlaps with the big exam phase

  • Allowed aids:

    • “the default”:

      • Lecture materials (analog+digital)

        • Interpretations of what counts as lecture material vary a lot.

        • Possibly with specific exceptions, such as electron scattering, Z decay, …

      • Calculator (hardly needed)

      • Possibly the PDG (booklet or onlinearrow-up-right)

    • Quark-Gluon-Plasma, Data Mining, Deep Learning: no aids at all

    • Symmetries, Cosmology: analog lecture materials only

    • Python, Machine Learning (on a PC): Documentation inside the IDE and online; possibly Jupyter notebooks from the exercise sessions

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FAQ

  • Do I need to bring anything?

    • Nothing but your notes (if allowed), a pen, and (though not always checked) your student ID card

    • Blank paper will be provided

  • On what scale will I be graded?

    • The French scale ranges from 0 (worst) to 20 (best).

    • You pass if your average on all the semester's exams is ≥10 points.

  • Are there any exams from previous semesters for practicing?

    • Yes, usually: Ask the professors and look at the courses' Moodle pages

    • There is also an online collection about herearrow-up-right. In order to protect the intellectual property, I can't share the actual address publicly.

  • (How) are grades normalized?

    • At the end of the semester, there will be a conference of all teaching staff where the grades can be shifted, apparently without adhering to specific rules.

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Structuring of modules and weighting of courses

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The UCA seminar on particle physics is not listed in the releve de notes, since it is not graded, but its 3 CP do count.

  • Quantum Field Theory, Gauge Theories & Quant. ChromoDyn. → 6 CP

    • Quantum Field Theory (Coef. 0,45)

    • Quantum ChronoDynamics (Coef. 0,35)

    • Gauge Theories (Coef. 0,20)

  • Foundations of the Standard Model of Particle Physics → 9 CP

    • Symmetries (Coef. 0,30)

    • Introduction to particle Physics (Coef. 0,30)

    • ElectroWeak Standard Model (Coef. 0,40)

  • Programming & data analysis → 6 CP

    • Programming (Coef. 0,50)

    • Data structures and mining (Coef. 0,50)

  • Statistics and artificial Intelligence → 6 CP

    • Statistics (Coef. 0,50)

    • Machine Learning (Coef. 0,50)

  • Guest lect. on various topics (related to particle phys.) → 3

    • General Relativity / Cosmology

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