Lab Information for Fall 2018
The lab exercises and projects will be posted here weekly. The work in lab will lead into and be part of the week's project. Labs will count significantly towards participation. Projects will be graded on a scale of 0 to 30, with 20 points awarded for completing the project tasks, 5 points for completing the report, and up to 5 additional points for extending the projects with additional features and clever coding.
Lab Instructor Information
Prof. Stephanie R Taylor
Office hours: M 10-12, possibly also 4-5, T 10:45-11:45, W 2:30-4:00, R 10:45-11:45 and 4:00-5:00
Lab and Project Links
|Equipping yourself for the projects||What is a Shape?||Tuesday September 11 2018|
|Python, functions, and parameters||A Shape Collection||Tuesday September 18, 2018|
|Loops, conditionals, and command-line arguments||Scenes Within Scenes||Tuesday September 25, 2018|
|Images||Warhol Project||Tuesday October 2, 2018|
|Lists||Cover Photos||Tuesday October 9, 2018|
|Animations||Animated Scene||Tuesday October 23, 2018|
|Grammars, Files and Interpreters||Fractals and Trees||Tuesday October 30, 2018|
|Classes||Better Trees||Tuesday November 6, 2018|
|Dictionaries and Inheritance||Unique Trees and Shapes||Tuesday Novermber 13, 2018|
|Not Quite Straight Lines||Non-Photorealistic Rendering||Tuesday November 27, 2018|
|3D Turtle||3D Scenes||Friday December 7, 2018|
The learning goals for the lecture and lab are the same -- both are meant to work together to accomplish the goals for the course as a whole. They are:
- Students can read a simple program and correctly identify its behavior
- Students can convert a problem statement into a working program that solves the problem.
- Students understand abstraction and can break down a program into appropriate procedural and object-oriented components
- Students can generate an approximate model of computer memory and describe how an algorithm affects its contents.
- Students can communicate the result of their work and describe an algorithm.