CS 106
Introduction to Computer Science 2 (GBDA Section)

Lectures

CS 116 LEC 011: Mondays and Wednesdays, 2:30–3:50, MC 4061

Labs

CS 116 TUT 115: Mondays and Wednesdays, 4:00–5:20, MC 3003

CS 116 TUT 116: Mondays and Wednesdays, 4:00–5:20, MC 3027

Midterm

Monday, February 29th, 7:00–8:50, rooms TBA

Final Exam

TBA

For questions related to course content, contact Craig or Chrissy. The best place to ask questions is on Piazza, but you can also send email (add "@uwaterloo.ca" to the addresses below) or visit during office hours. For questions about marking, contact the Assistants first, who will consult with the Instructor if necessary. For questions about course logistics (particularly absences), contact the Coordinator.

Week of	Lectures	Suggested readings	Other announcements
04 January	Administration Module 01: Processing recap [notes]	Your CS 105 lecture notes
11 January	Module 02: Input and Output [notes, sketches]	Learning Processing, Sections 15.1, 17.1, 17.2, 17.3, 18.3, 18.4, 21.3, 21.4
18 January	Module 03: User interfaces [notes, sketches]
25 January	Modue 04: Physics and animation [notes, sketches]	The Nature of Code, Chapters 1 and 2 (Chapter 5 is relevant too, but we'll use a different library)
01 February	Module 04 (continued)
08 February	Module 05: Geometric context [notes, sketches]	Learning Processing, Sections 14.1, 14.5, 14.7, 14.8, 14.9 (but you don't need to worry about 3D for now)
15 February			No lectures (reading week)
22 February	Module 06: 3D [notes, sketches] Module 07: Recursion and fractals [notes, sketches]	The 3D parts of the Chapter 14 sections listed above Learning Processing, Sections 13.11 Nature of Code, Chapter 8
29 February	Module 07 (continued) Module 08: Randomness and noise [notes, sketches]	Learning Processing, Sections 13.3–13.6
07 March	Module 08 (continued) Module 09: The shape of data [notes]
14 March	Module 09 (continued) Module 10: Text processing [notes, sketches]	The first part of Shiffman's online notes about data Learning Processing, Sections 17.1, 17.2 and Chapter 18
21 March	Module 11: Structured data [notes, sketches]
28 March	Module 11 (continued) Module 12: Wrap up [notes]

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 00: A few drawing programs (Due: Monday, January 11th at 11:59am)
• Assignment 01: Input and output (Due: Monday, January 18th at 11:59am)
• Assignment 02: User interfaces (Due: Monday, January 25th at 11:59am)
• Assignment 03: Basic physics (Due: Monday, February 1st at 11:59am)
• Assignment 04: Physical simulation (Due: Monday, February 8th at 1:59pm)
• Assignment 05: Geometric context (Due: Monday, February 22nd at 11:59am)
• Assignment 06: Recursion (Due: Monday, March 7th at 11:59pm)
• Assignment 07: Randomness and noise (Due: Monday, March 14th at 11:59am)
• Assignment 08: Text processing (Due: Monday, March 21st at 11:59am)
• Assignment 09: Tables (Due: Monday (Friday), April 4th at 11:59pm)
• Assignment 10: Hierarchical data (Due: Monday (Friday), April 4th at 11:59pm)

• Lab 00: Orientation (Due: Friday, January 8th at 4:00pm)
• Lab 01: Input and output (Due: Friday, January 15th at 4:00pm)
• Lab 02: User interfaces (Due: Friday, January 22th at 4:00pm)
• Lab 03: Basic physics (Due: Friday, January 29th at 4:00pm)
• Lab 04: Physical simulation (Due: Friday, February 5th at 4:00pm)
• Lab 05: Geometric context (Due: Friday, February 12th at 4:00pm)
• Lab 06: 3D (Due: Friday, February 26th at 4:00pm)
• Lab 07: Recursion (Due: Friday, March 4th at 4:00pm)
• Lab 08: Randomness and noise (Due: Friday, March 11th at 4:00pm)
• Lab 09: Text processing (Due: Friday, March 18th at 4:00pm)
• Lab 10: Tables (Due: Monday, March 28th at 11:59am)
• Lab 11: Hierarchical data (Due: Friday, April 1st at 4:00pm)

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.

Practice problems

• I have assembled a large number of simple programming exercises that you can treat as "drills" to practice different aspects of coding in isolation. You can use these exercises for study purposes, in which case I recommend that you practice writing the solutions out by hand before trying them live in Processing. Check this file periodically for updates as I add new problems.

Course technology

• We use Piazza for questions, discussions, announcements, and other topics of interest to students in the course. Visit The course's Piazza page for timely updates on course material. Feel free to use Piazza 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). If in doubt, you can always make your post private, so that other students can't see it.
• 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.

Academic Integrity

In order to maintain a culture of academic integrity, members of the University of Waterloo community are expected to promote honesty, trust, fairness, respect and responsibility. [Check www.uwaterloo.ca/academicintegrity/ for more information.]

Grievance

A student who believes that a decision affecting some aspect of his/her university life has been unfair or unreasonable may have grounds for initiating a grievance. Read Policy 70, Student Petitions and Grievances, Section 4, www.adm.uwaterloo.ca/infosec/Policies/policy70.htm. When in doubt please be certain to contact the department's administrative assistant who will provide further assistance.

Discipline

A student is expected to know what constitutes academic integrity [check www.uwaterloo.ca/academicintegrity/] to avoid committing an academic offence, and to take responsibility for his/her actions. A student who is unsure whether an action constitutes an offence, or who needs help in learning how to avoid offences (e.g., plagiarism, cheating) or about 'rules' for group work/collaboration should seek guidance from the course instructor, academic advisor, or the undergraduate Associate Dean. For information on categories of offences and types of penalties, students should refer to Policy 71, Student Discipline, www.adm.uwaterloo.ca/infosec/Policies/policy71.htm. For typical penalties check Guidelines for the Assessment of Penalties, www.adm.uwaterloo.ca/infosec/guidelines/penaltyguidelines.htm.

Appeals

A decision made or penalty imposed under Policy 70 (Student Petitions and Grievances) (other than a petition) or Policy 71 (Student Discipline) may be appealed if there is a ground. A student who believes he/she has a ground for an appeal should refer to Policy 72 (Student Appeals) www.adm.uwaterloo.ca/infosec/Policies/policy72.htm.

Students with Disabilities

The Office for persons with Disabilities (OPD), located in Needles Hall, Room 1132, collaborates with all academic departments to arrange appropriate accommodations for students with disabilities without compromising the academic integrity of the curriculum. If you require academic accommodations to lessen the impact of your disability, please register with the OPD at the beginning of each academic term.