Previous and current course content
On this page you will find the syllabi, slides, and materials for current and past iterations of Computing Workshop.
Current Courses
Machine Learning - Winter 2019
Lesson 0: Welcome! (Types and values worksheet) (slides)
Lesson 1: K nearest neighbours (slides) (Types and values recap) (Data structures recap) (KNN worksheet) (KNN interactive web site) (KNN Jupyter Notebook)
Lesson 2: Decision trees (slides) (Decision trees notebook) (Decision tree visualization)
Lesson 3: Neural networks (slides) (Neural network notebook) (Neural network POGIL)
Lesson 4: Neural networks, and coding lab (slides) (lab resources)
Lesson 5: Unsupervised learning and ML ethics (slides) (lab resources) (K-means POGIL)
Past Courses
Software - Fall 2018
- Lesson 0: Welcome! (slides)
- Lesson 1: K nearest neighbours (slides)
Lesson 2: Decision trees (slides)
Lesson 3: Neural networks. (slides)
Lesson 4: Applications of machine learning and coding lab (slides)
Lesson 5: Unsupervised learning and ethical problems of machine learning. (slides)
Hardware - Fall 2018
- Lesson 0: Welcome! (slides)
- Lesson 1: Binary and logic (slides)
- Lesson 2: Integrated circuits, and the ALU (slides)
- Lesson 3: Memory and storage (slides)
- Lesson 4: Processor and machine code (slides)
Lesson 5: Operating systems (slides)
Computing Workshop - Fall 2017
- Lesson 0: Welcome! (slides)
- Lesson 1: Binary and logic (slides)
- Lesson 2: Integrated circuits, memory, and Haskell (slides)
- Lesson 3: Pattern matching, recursion, and the ALU (slides)
- Lesson 4: Operating systems and Linux (slides)
- Lesson 5: Datatypes and higher-order functions (slides)
- Lesson 6: Hamburger Text Markup Language (HTML) (slides)
- Lesson 7: Web design with CSS (slides)
- Lesson 8: Remedial web development work (no slides or lesson plan)