Timeline

October 7, 2024
MOD1-01

Mathematics for Signals & Controls (Lec 1)

Course consists of tests during the year and a final exam, which are divided 50/50 in the final score. 50% of the class failed last year.

Two parts, recap of basics and more advanced stuff coming later.

Tools

Useful: Wolfram Alpha, Matlab

Will use Matlab in the course, can download it from FH. ChatGPT sucks at solving math problems correctly.

Probably important topics

  • taking derivatives/antiderivatives
  • partial fraction decomposition
  • taylor series

Not important

  • Memorizing vocabulary
  • weird antiderivative tricks

Homework

Look at Taylor Series exercise 2.11

October 2, 2024
MOD1-E07

Blended Learning in Excel & Presentation Techniques – Graded (Lec 1)

The Excel course consists of two parts:

  1. E-learning Ilias Course

    • You can join under the course name in the Excel subdirectory.
    • Note: Do not submit results; just compare your work with the provided solutions.
    • Exam Date: 12th November
      • Bring your own PC (preferably Windows).
      • If you need an FH PC, you can request one via email.
      • The exam will be conducted using the program.
  2. Video Presentation in January

    • More information will be provided during the in-person appointment on 16th October.
    • Room information will be available on Ilias or probably in the schedule.
    • Attendance will be taken.
September 30, 2024
java

Java - Prep4FHDo

  • Capstone Project Introduced:

    • Topic: “Smart House: Simulation of Energy Supply and Consumption”
    • Group Formation:
      • Work in groups of 2-4 students.
      • You can adjust your group until the end of the week—contact the professor if needed.
  • Project Guidelines:

    • Collaboration via GitHub:
      • All members must actively commit code; the professor will check commit histories.
    • Individual Screencasts:
      • Each member records a 7-minute screencast explaining their contribution.
    • Final Defense:
      • The project defense will be held in person at the Hochschule.
      • Each member will be evaluated individually.