Study Guide

Objectives (course unit)

Students will deepen their knowledge on electromagnetic phenomena and electric components. Students familiarize with physical principles behind appliences and applications.

Content (course unit)

In addition to lectures student perform modelling and measurement exercises in small groups. When possible, computer software (for example MATLAB or Excel) will be used in solving the problems.
- Electric and magnetic fields
- Electromagnetic induction
- Electromagnetic waves (radiation)
- Photons
- Optics: lenses, mirrors, fiber optics, lasers
- Electrical oscillations
- Antennas
- Principles of electrical sensors, Hall-sensor in particular
- Semiconductor physics: energy bands, charge carriers, P-N junction, semiconductor components
- Thermal noise

Assessment criteria, satisfactory (1-2) (course unit)

Student actively participates in learning and solving given assignments and can finish assignment when aided.

Assessment criteria, good (3-4) (course unit)

Student actively participates in learning and solving given assignments and supports the rest of the group to solve exercises.

Assessment criteria, excellent (5) (course unit)

Student can give precise and clear justification to their solution methods. Student is involved in examining the topics and can come up with their own solution methods.

Exam schedules

STACK-exam during the course yields a passing grade of 1. This exam is evaluated automatically and can be taken as many times as necessary.

Final exam at end of course for grades 2-5.

Final exam 4.12.2024
Retake exams 10.1.2025 and 31.1.2025

Assessment methods and criteria

STACK exam for grade 1

For grades 2-5 you can show proficiency in:
- exercise problems
- group tasks
- measurement tasks
- final exam

The course used university guidelines for using AI.
The teachers in the course can give out assignments where using generative AI is allowed or not allowed.
If a student uses AI tools in their assignments, they have to cite them as a source and provide the prompts used during the task.
If a student presents AI generated content as their own without citations and/or prompts, the teacher may fail the assignment or require the student to redo their work.
The teachers have a right to ask if a student has used generative AI in their assignment.

Assessment scale

0-5

Teaching methods

lectures
exercises
group tasks
measurement tasks

Learning materials

Randall D. Knight: Physics for Scientists and Engineers
Technical Formulas
Material in Moodle

Student workload

5 credits * 27 h/credit = 135 h of work

Content scheduling

Schedule in Moodle

Completion alternatives

none