CS 106
Introduction to Computer Science 2 | Winter 2019

Lectures

CS 106 LEC 001: Mondays and Wednesdays, 8:30–9:50, MC 4059

CS 106 LEC 002: Mondays and Wednesdays, 11:30–12:50, DC 1351

Labs

CS 106 LAB 101: Mondays and Wednesdays, 1:00–2:20, MC 3003

CS 106 LAB 102: Mondays and Wednesdays, 10:00–11:20, MC 3004

CS 106 LAB 103/104: Mondays and Wednesdays, 2:30–3:50, MC 3003

CS 106 LAB 105: Mondays and Wednesdays, 4:00–5:20, MC 3003

Midterm

Friday March 1st, 6:30PM–8:00PM at DC 1350 / DC 1351 (Check Odyssey)

Old Midterm [ 2018 | Solved ]

Please note that some of the questions in these are outdated and will not be tested

Final Exam

Thursday April 11th, 9:00AM–11:30AM, STC 1012

For questions related to course content, contact an instructor or an ISA. The best place to ask questions is to use the discussion features of Learn. This can be found under "Connect". You can also visit during office hours. For questions about marking, contact the Assistants first, who will consult with the Instructor if necessary. You can email them at "cs106@uwaterloo.ca". For questions about course logistics (particularly absences), contact the Coordinator, John.

Notes and sketches marked with "(2018)" are the materials that were used in a previous year. They can be useful for now as a reference, but we will replace them with updated files during the term.

See also Professor Kaplan's in-class sketch snapshots and a separate page with additional material made available by instructors.

Week of	Lectures	Suggested readings
07 January	Administration [notes] Module 00: Processing Recap [notes, sketches] Module 01: Generative Art [notes, sketches]	CS 105 lecture notes
14 January	Module 02: Arrays and Strings [notes, sketches]	Learning Processing, Chapters 9 and 17; Online tutorial on arrays; Online tutorial on strings
21 January	Module 03: Input and Output [notes, sketches]	Learning Processing, Sections 15.1, 17.1, 17.2, 17.3, 18.3, 18.4, 21.3, 21.4
28 January	Module 04: Advanced Shapes [notes, sketches]	Learning Processing, Sections 14.3, 13.8, 13.9; online tutorial about the PVector class
04 February	Module 05: User Interfaces [notes, sketches]
11 February	Module 06: Geometric Context [notes, sketches]	Learning Processing, Sections 14.1, 14.5, 14.7, 14.8, 14.9 (ignoring 3D)
18 February	Reading week: no lectures
25 February	Module 07: Images and Image Processing [notes, sketches]	Learning Processing, Section 13.11 Nature of Code, Chapter 8
04 March	Module 08: Video and Libraries [notes, sketches]	Learning Processing, Sections 13.3–13.6
11 March	Module 09: Randomness [notes, sketches] Noise [notes, sketches]	Nature of Code Introduction, especially I.6, "Perlin Noise (A Smoother Approach)"
18 March	Module 10: Data Processing and Text [notes, sketches]	The first part of Shiffman's online notes about data Learning Processing, Sections 17.1, 17.2 and Chapter 18
25 March	Module 11: Tables [notes, sketches]
01 April	Module 12: Tree-structured data [notes, sketches]

Participation	5%
Labs	5%
Assignments	30%
Midterm	20%
Final	40%

Please see the bottom of the course outline page for more information about re-marking of assignments and the midterm.

Before submitting code for assignments, you should familiarize yourself with the code style guidelines (as well as Processing's auto-format feature!) and read the instructions on how to submit code on LEARN.

• Assignment 01: Generative Art (Due: Friday, January 11th at 11:59pm)
• Assignment 02: Arrays and Strings (Due: Friday, January 18th at 11:59pm)
• Assignment 03: Input and Output [data] (Due: Friday, January 25th at 11:59pm)
• Assignment 04: Advanced Shapes [data] (Due: Friday, February 1st at 11:59pm)
• Assignment 05: User Interfaces [starterCode] (Due: Friday, February 15that 11:59pm)
• Assignment 06: Image and Video Processing [No Webcam Version] (Due: Monday, March 11th at 11:59pm)
• Assignment 07: Randomness and Noise [data] (Due: Friday, March 15th at 11:59pm)
• Assignment 08: Text and Processing [data] (Due: Friday, March 22nd at 11:59pm)
• Final Project (Due: Friday, April 5th at 11:59pm)

• Lab 01: Objects (Due: Wednesday, January 9th at 11:59pm)
• Lab 02: Arrays and Strings (Due: Wednesday, January 16th at 11:59pm)
• Lab 03: Input and Output [data] (Due: Wednesday, January 23rd at 11:59pm)
• Lab 04: Advanced Shapes (Due: Wednesday, January 30th at 11:59pm)
• Lab 05: User Interfaces (Due: Wednesday, February 13th at 11:59pm)
• Lab 06: Midterm Review (Due: Wednesday, February 27th at 11:59pm)
• Lab 07: Images and Video Processing [data] (Due: Wednesday, March 11th at 11:59pm)
• Lab 08: Randomness and Noise (Due: Wednesday, March 13th at 11:59pm)
• Lab 09: Text and Processing [StarterCode] (Due: Wednesday, March 20th at 11:59pm)
• Lab 10: Tables [data] (Due: Wednesday, March 27th at 11:59pm)
• Lab 11: Tree-structured data [data] (Due: Wednesday, April 3rd at 11:59pm)

Practice

• We have created a large set of practice programming exercises to help you build your skill at writing short functions. Some of these exercises may be included in labs during the term.

Processing

• This course is taught using the Processing programming environment. You can download a free copy of Processing for just about any computer. When working on assignments, the reference section will be especially useful.
• The required textbook for the course is Daniel Shiffman's Learning Processing, second edition. You should already have this book from CS 105. I will also make occasional references to Shiffman's other book, The Nature of Code, which is available for free online.
• If you need a gentler introduction to programming in Processing, you might want to look at Reas and Fry's Getting Started with Processing (second edition). Reas and Fry are the inventors of Processing. They also have a more comprehensive book called Processing: A Programming Handbook for Visual Designers and Artists (second edition), which goes deeper on programming and includes lots of inspiring art examples.
• Andrew Glassner runs an online course on learning Processing at his website The Imaginary Institute. He also has another good book on Processing, Processing for Visual Artists: How to Create Expressive Images and Interactive Art. The course isn't free, but he has published an excellent series of introductory tutorials on bits of mathematics that artist-programmers should know. Some of these might be useful refreshers on techniques we'll use in CS 106.

Course technology

• We use LEARN for questions, discussions, announcements, and other topics of interest to students in the course. Visit LEARN for timely updates on course material. Feel free to seek help with assignments from the course staff or each other, but keep academic integrity in mind. Don't post anything publicly that might constitute an academic offence (e.g., a partial solution to a programming question).
• Non-public aspects of the course (such as assignment submission and marks) happen on LEARN. But for the most part, all other course-related documents will be posted publicly here.
• The course uses iClickers for in-class feedback and quizzes. The Faculty of Mathematics has a fairly extensive iClicker FAQ if you have any questions. You will need to register your clicker in order for your in-class responses to be recorded. You can also view your clicker marks online.

Other documentation

• There are a few general documents that will help you get through this course, which are identical to the ones we made available to you in CS 105. Make sure you've read the Survival Guide for starters. Then, before submitting code for assignments and labs, make sure you're up to speed on our suggested code style guidelines and that you know how to submit code on LEARN.