Second Physics Laboratory II 390-FS2-2DPF2
Study profile: general academic
Form of studies: full-time
Course type: compulsory
Field and discipline of science: Field of Exact and Natural Sciences, Discipline: Physical Sciences
Level of study: second-cycle studies
Year of study/semester: 2nd year/3rd semester
ECTS credits: 6
Prerequisites: completed first-cycle studies in physics
Student workload balance:
* participation in laboratory classes (45 hours),
* participation in consultations (15 hours),
* independent student work at home (75 hours),
Quantitative indicators:
* student workload related to classes requiring the direct participation of a teacher - 3.0 ECTS;
* student workload related to independent work - 3.0 ECTS.
Rules for the use of artificial intelligence (AI):
During classes, the use of AI systems is permitted in the following areas:
1. Machine translation of source texts from foreign languages.
2. Searching for and organizing scientific sources.
3. Creating simulations and modelling physical phenomena discussed during the lectures.
In the case of violations of the above rules, the student may be held responsible under separate disciplinary regulations.
Course programme (examples of experiments to be selected by the instructor):
1. Investigation of the characteristics of solar cells.
2. Zeeman effect.
3. Spin resonance.
4. Coulomb's law.
Teaching methods:
Experimental tasks carried out in teams of one or two students. Independent student work including preparation for laboratory classes and preparation of a report from the conducted experiment (analysis and discussion of the obtained results).
When preparing written reports from laboratory exercises, the use of AI systems is allowed in the following areas:
1. linguistic and stylistic correction of the text,
2. machine translation of text to or from a foreign language,
3. searching for and organizing scientific sources,
The person using AI systems is obliged to:
1. verify the results obtained using AI systems with respect to their accuracy.
The following uses of AI systems are prohibited:
1. automatic completion of the assignment in whole or in part by AI systems without the active participation of the author,
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Type of course
Mode
Requirements
Electricity and Magnetism
Classical Mechanics
Computer tools
Optics and Waves
Analysis of Experimental Uncertainty
Thermodynamics
Introduction to Physics
Intoductory Mathematics
Prerequisites
Prerequisites (description)
Course coordinators
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Learning outcomes
KP7_WG1 advanced knowledge of mathematical issues necessary in physics and astronomy within the scope defined by the study programme
KP7_UW2 select and apply in practice research tools appropriate for a given field of physics
KP7_UW3 quantitatively and qualitatively explain the course of complex phenomena based on the laws of physics
KP7_UK2 obtain information and assess its reliability, interpret it, draw conclusions from it and formulate opinions
KP7_U01 plan and conduct scientific research in a selected field of physics and astronomy, selecting appropriate research tools within the scope defined by the study programme
KP7_KK2 critically evaluate possessed knowledge while addressing real research problems and issues encountered in a selected field of physics
Assessment criteria
The basis for passing the laboratory is:
completion of 3 experiments, preparation of reports presenting the obtained results, and answering questions concerning the theory related to a given experiment.
Detailed rules for preparing and grading reports are available on the faculty website, in the “Student Laboratories” section, in the file “Detailed notes on the experiment.pdf”.
When verifying learning outcomes, the following grading scale is applied:
very good - 5 (100%-91%)
good plus - 4.5 (90%-81%)
good - 4 (80%-71%)
satisfactory plus - 3.5 (70%-61%)
satisfactory - 3 (60%-51%)
unsatisfactory - 2 (50%-0%)
Bibliography
General literature (concerning measurements, data analysis and uncertainties):
[1] A. Zięba, Data Analysis in Exact Sciences and Engineering, Wydawnictwo Naukowe PWN, Warsaw 2013.
[2] S. Brandt, Data Analysis, PWN, Warsaw 1998.
[3] GUM: Guide to the Expression of Uncertainty in Measurement (2008), document available as a PDF file.
Specific literature (concerning physical phenomena in the performed experiment):
[4] instructions for the experiments (available in the laboratory)
[5] literature required before performing the experiment is provided in the description of each experiment (instruction) in the physics laboratory.
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Term 2024:
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Notes
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Term 2024:
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Term 2025:
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Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: