Electrical Engineering (Part of Physics 1)
Course: 8115 Physics: Mechanics, Electricity and Magentism, WS2024/25, Part 2: “Electrical Engineering”
Course ID: 8115_2 (part of 8115)
(Old Course Number: EE_1.08)
Structure of 8115 (aka EE_1.08) Physics: Mechanics, Electricity and Magnetism
We group the topics “electricity” and “magnetism” together under the term electrical engineering.
This course consists of two course parts:
- Mechanics (8115_01) and
- Electrical Engineering (8115_02).
The two course parts are conducted separately by two lecturers.
| Course Part | General Topic | Abbreviation | Course ID | Lecturer |
|---|---|---|---|---|
| Part 1 | Mechanics | Mech | 8115_1 | Dr. Malte Weber |
| Part 2 | Electrical Engineering | EEng | 8115_2 | Dr. Rolf Becker |
Exam and Grading
The two courses are part form one module with one exam.
You will pass the module with 50 points in total.
The scores are distributed as follows:
| Part | Written / Lab | Max Achievable Points |
|---|---|---|
| Mech | written exam | 50 |
| EEng | written exam | 35 |
| EEng | graded lab exercises | 15 |
| Max total | 100 | |
Relationship with other Courses
The course EEng is laying the foundations for the following courses:
- (EE_2.03) Physics 2: Thermodynamics, Radiation, Heat Transfer,
- (EE_3.02) Energy Technology,
- (EE_4.03) Applied Measurement and Control
Topics of EEng
Go to TOPICS page.
Previous Courses
Literature and Resources
(online, pdf, HSRW library) Volker Quaschning (2016): Understanding Renewable Energy Systems- (printed, HSRW library) Paul A. Tipler, Gene Mosca (2008): Physics for scientists and engineers, 6. Ed.
- YouTube videos, Wikipedia, my slides, the course git repo, this teaching wiki
Preparation for the Students
We use Jupyter Notebooks for teaching as well as LTspice.
Jupyter Lab Environment for Python
Option 1: JupyterHub - Cloud Service EOlab@HSRW
Go to https://hub.eolab.de/
To log in click on sign in with keycloak → HSRW OIDC. Use your university account to log in.
When the JupyterHub comes up choose Python Enviromnent and click start.
Option 2: Local Installation
Install Anaconda locally on your laptops
Create the EEng Conda Environment. See the Course Preparation on Github.
Download or clone the Git repository with the notebooks.