Mathematics for AI 2 @ JKU - Strategy Tool

Developed with ♥ by Mats Schneider. Connect on Discord | LinkedIn. Collaborate: Repository on Github.

This (unofficial) tool helps you to better understand the grading scheme of the lecture and exercise. It suggests the best lab exercise option based on your chosen strategy and calculates the grades (GPA).
Feel free to play around with different values for the inputs, e. g. you can determine how important a Quiz is to pass the course.

Please note: The lab grading choice (e.g., for BITL and MC topics) has been updated effective May 14th, as now your choice can be changed until the end of the semester (June 29), even after submitting the lab. To effectively use this tool, you can always enter the points for the completed topics, regardless of their topic ID on Moodle!

Expand for detailed instructions
  1. Select your strategy: Choose between "Pass Course" (safe bet), "Best GPA" (to impress) or "Max Points" (recommended).
  2. Enter previous topics points: For topics fully completed before the current lab into 'Previous Topics Points'. Leave topics blank or type 0 if not yet completed.
  3. Enter current topic module points: For the topic of the lab you're currently working on (and choosing the mode for) into 'Current Topic Module Points'
  4. Adjust lab points slider: Set your expected points for the lab exercise using the slider.
  5. Calculate Strategy: Click the "Calculate Strategy" button to get your optimal strategy recommendation. Press this button after any changes.

Previous Topics Points

Please provide the points for all successfully completed topics (not the current one)!

Topic Exercise Points Lecture Points
1: CF
2: DC
3: BIT
4: MC Calculation in Current Topic Module Points below if topic 3 is completed

Current Topic Module Points

Please provide the points for modules within the current topic (the one for the lab exercise).

Module Quiz Points Bonus Points
Lecture Module 1
Lecture Module 2
Exercise Module

Expected Lab Exercise Points

10