Laboratory of Measurement Techniques 1100-2F14
Laboratory classes intended for 2nd-year undergraduate students at the Faculty of Physics majoring in Physics and Physics Teaching who have passed the Introductory Laboratory course or an equivalent.
Organization and participation requirements:
Mandatory participation in health and safety (OSH) training during the first class (a prerequisite for admission to further laboratory sessions).
Mandatory sign-up for the chosen exercise at least one week in advance (failure to sign up prevents completing the exercise on a given date).
Attendance in classes is mandatory (a maximum of 2 absences is allowed). Being late by more than 15 minutes results in non-admission to the exercise and a recorded absence.
Course of exercise completion:
Before class: Theoretical preparation based on the manual.
During class: Passing the entry test (pre-lab quiz), conducting measurements, collecting signatures on the worksheet. Failing the entry test results in non-admission to the laboratory and a recorded absence.
After class: Uploading the report, a scan of the worksheet, and digital data to the Kampus platform within 5 working days. Mandatory in-person discussion and defense of the report within designated timeframes.
Report submission and revision deadlines:
Delays of up to 7 calendar days are allowed for report submission (longer delays require the approval of the coordinator). Exceeding the deadline results in an unsatisfactory grade with no option for revision. No delays are allowed after the end of the teaching period in the winter semester.
Upon obtaining a grade of 5 or 5! in at least 3 exercises, remaining reports may be submitted in a shortened pass/fail form (zal.).
Revision: A single report revision is allowed – the revised report must be uploaded within 5 working days from its discussion.
Academic integrity and AI usage policy:
Reports are checked using an anti-plagiarism system. Fully independent work is required (the use of pre-made templates is prohibited).
The report must contain a separate chapter regarding the use of AI tools (or a declaration stating that they were not used). AI may be used exclusively for editorial purposes (language correction, style, structure).
Using AI to create substantive content, interpret results, or formulate conclusions, as well as any lack of independent work, results in an unsatisfactory grade (2.0) with no option for revision and potential referral to the disciplinary committee.
Course coordinators
Mode
Prerequisites (description)
Learning outcomes
Knowledge of the basic types of experiments in mechanics, electromagnetic waves, and modern physics; ability to perform statistical analysis of experimental data; ability to fit a theoretical model and discuss experimental results.
Assessment criteria
The condition for passing the course is completing exercises in all laboratory sessions (taking into account a maximum of 2 allowed absences).
The final grade is the arithmetic mean of the grades from all exercises (exercises with a pass status from a shortened report are not included in the calculation of the average). An excellent grade (5!) is factored into the average as 5.5.
Points awarded for a single exercise (full report, maximum 110 pts):
Classwork and preparation (0 - 20 pts): evaluation of the quality of experimental work, theoretical preparation, assembly of the measuring setup, and measurement precision.
Report (0 - 80 pts):
Editorial quality: 0 - 20 pts
Substantive content: 0 - 60 pts
Bonus (+10 pts): awarded for obtaining a minimum of 90 pts and submitting a significantly outstanding report.
Conversion of points to an exercise grade (full report):
[0, 50) pts – 2.0
[50, 60) pts – 3.0
[60, 70) pts – 3.5
[70, 80) pts – 4.0
[80, 90) pts – 4.5
[90, 100) pts – 5.0
[100, 110] pts – 5!
Shortened report:
Pass (zal.): two-stage evaluation of the exercise completion and data analysis correctness. Counts towards the required limit of exercises but is not included in the calculation of the grade average.
Fail (grade 2.0): awarded in case of failing, non-submission, or failure to revise the report; this grade is included in the grade average.
An unsatisfactory grade (2.0) with no option for revision is awarded for:
Unexcused failure to meet the submission / revision deadline for a report.
Unauthorized use of AI tools (generating substantive content, conclusions) or a determination of a lack of independent work.
Conducting incomplete measurements that prevent achieving the learning outcomes, or submitting a report that blatantly fails to meet the requirements.
Additional information
Information on level of this course, year of study and semester when the course unit is delivered, types and amount of class hours - can be found in course structure diagrams of apropriate study programmes. This course is related to the following study programmes: