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MUDE 2026-2027

  • Content overview
    • Week 1.1
    • Week 1.2
    • Week 1.3
    • Week 1.4
    • Week 1.5
    • Week 1.6
    • Week 1.7
    • Week 1.8
  • Incoming students
  • Book
  • Workbook
  • Workbook without solutions
  • Brightspace - announcements, course information, buddycheck, grades (TU Delft login required)
  • Answers (TU Delft login required)
  • Source files assignments
  • Source files book
  • Source files workbook

MUDE archive

  • Archive overview
  • 2025-2026
    • Content overview
      • Week 1.1
      • Week 1.2
      • Week 1.3
      • Week 1.4
      • Week 1.5
      • Week 1.6
      • Week 1.7
      • Week 1.8
      • Week 2.1
      • Week 2.2
      • Week 2.3
      • Week 2.4
      • Week 2.5
      • Week 2.6
      • Week 2.7
      • Week 2.8
    • Book
    • Workbook
    • Workbook without solutions
    • Assignment submissions (GitHub login required)
    • Brightspace - announcements, course information, buddycheck, grades (TU Delft login required)
    • Submitted assignments (GitHub login required) and source files assignments
    • Fundamental concepts
    • Source files book
    • Source files workbook
    • Source files fundamental concepts
    • Answers (TU Delft login required)
  • 2024-2025
    • Content overview
    • Homepage
    • Book
    • Files
    • Assignment submissions (GitHub login required)
    • Source files assignments
    • Source files book
    • Answers (TU Delft login required)
  • 2023-2024
    • Content overview
    • Homepage
    • Book
    • Files
    • Student work (TU Delft login required)
  • 2022-2023
    • Archive 2022 (TU Delft login required)
  • Old exams

How to teach or copy MUDE

  • Most recent published complete book (2025 edition)
  • Most recent published complete assignments (2025 edition)
  • How to MUDE?

Miscallaneous

  • Changelog
  • Credits and License
  • Repository
  • Suggest edit
  • Open issue
  • .md

Week 1.6

Contents

  • Uncertainty Propagation
  • Programming:
    • Large Language Models
    • Python in .py files

Week 1.6#

Uncertainty Propagation#

  • Book theory: Overview

    • Transforming Random Variables

    • Mean and Variance Propagation Laws

    • Linear Propagation of Mean and Covariance

    • Monte Carlo Simulations for Uncertainty Propagation

  • Lecture slides

  • Collegerama recording (TU Delft login required)

  • Workshop assignment: Pipe Dreams

    • Mean and Variance Propagation

  • Group assignment: Icy Dicey Propagation

    • Icy Dicey Propagation

    • Report

Programming:#

Large Language Models#

  • Book chapters

    • Effective Prompting

    • Generating Code Exercise

    • Debugging Errors Exercise

    • The Importance of Human-in-the-Loop

  • Programming Assignment: BotHeat.py

    • Activating GitHub Copliot in VS Code

    • Programming a Thermostat with AI

Python in .py files#

  • Programming Assignment: BotHeat.py

    • Python Scripts in VS Code

previous

Week 1.5

next

Week 1.7

Contents
  • Uncertainty Propagation
  • Programming:
    • Large Language Models
    • Python in .py files

By MUDE from Delft University of Technology, built with TeachBooks, CC BY 4.0

Last updated on October 9, 2026.