Week of	Lectures	Labs	Assignments	Suggested readings
Mon Jan 11 - Fri Jan 15	Week 1: Open Processing and Recap [notes]	Lab 1: Fri Jan 15, 11:59 pm		CS 105 lecture notes
Mon Jan 18 - Fri Jan 22	Week 2: Arrays and Strings [notes]	Lab 2: Tue Jan 19, 11:59 pm	Assignment 1: Fri Jan 22, 11:59 pm
Mon Jan 25 - Fri Jan 29	Week 3: Input and Output [notes]	Lab 3: Tue Jan 26, 11:59 pm	Assignment 2: Fri Jan 29, 11:59 pm
Mon Feb 1 - Fri Feb 5	Week 4: Advanced Shapes [notes]	Lab 4: Tue Feb 2, 11:59 pm	Assignment 3: Fri Feb 5, 11:59 pm
Mon Feb 8 - Fri Feb 12	Week 5: Introduction to HTML and CSS	Lab 5: Tue Feb 9, 11:59 pm	Test #1: Fri Feb 12, 11:59 pm
Mon Feb 15 - Fri Feb 19	Reading week: no lectures
Mon Feb 22 - Fri Feb 26	Week 6: Randomness and Noise [notes]	Lab 6: Tue Feb 23, 11:59 pm	Assignment 4: Fri Feb 16, 11:59 pm
Mon Mar 1 - Fri Mar 5	Week 7: Data Processing and Text [notes]	Lab 7: Tue Mar 2, 11:59 pm	Assignment 5: Fri Mar 5, 11:59 pm
Mon Mar 8 - Fri Mar 12	Week 8: Tables [notes]	Lab 8: Tue Mar 9, 11:59 pm	Assignment 6: Fri Mar 12, 11:59 pm
Wed Mar 17 - Fri Mar 19	Week 9: JSON Part 1 [notes]		Assignment 7: Fri Mar 19, 11:59 pm
Mon Mar 22 - Fri Mar 26	Week 10: JSON Part 2 [notes] [extra example]	Lab 9: Tue Mar 22, 11:59 pm	Assignment 8: Fri Mar 26, 11:59 pm
Mon Mar 29 - Thu Apr 1	Week 11: Geometric Context [notes]		Week 1 of Final Project
Mon Apr 5 - Fri Apr 9	Week 12		Week 2 of Final Project: Fri Apr 9, 11:59 pm
Mon Apr 12 - Wed Apr 14			Test #2: Fri Apr 14, 11:59 pm

Weekly Participation	5%
9 Labs (best 8 count)	20%
8 Assignments (best 7 count)	30%
2 Tests (15% each)	30%
Final Project	15%

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

Before submitting code for assignments, you should familiarize yourself with the code style guidelines and read the instructions on how to submit code on LEARN.

• Assignment 01: The Memory Game (Due: Friday, January 22nd at 11:59pm)
• Assignment 02: Sprite Sheets (Due: Friday, January 29th at 11:59pm)
• Assignment 03: Advanced Shapes (Due: Friday, February 5th at 11:59pm)
• Assignment 04: Randomness and Noise (Due: Friday, February 16th at 11:59pm)
• Assignment 05: Data Processing and Text (Due: Friday, March 5th at 11:59pm)
• Assignment 06: Soundex Algorithim (Tables) (Due: Friday, March 12th at 11:59pm)
• Assignment 07: JSON (Due: Friday, March 19th at 11:59pm)
• Assignment 08: Weather App (JSON Part 2) (Due: Friday, March 26th at 11:59pm)
• Final Project (Due: Friday, April 9th at 11:59pm)

Labs will be submitted as pdf files with links to Open Processing sketches following this template.

• Lab 01: Recap (Due: Friday, January 15th at 11:59pm)
• Lab 02: Arrays and Strings (Due: Tuesday, January 19th at 11:59pm)
• Lab 03: Input and Output (Due: Tuesday, January 26nd at 11:59pm)
• Lab 04: Advanced Shapes (Due: Tuesday, February 2nd at 11:59pm)
• Lab 05: HTML - User Interface (Due: Tuesday, February 9th at 11:59pm)
• Lab 06: Randomness and Noise (Due: Tuesday, February 23th at 11:59pm)
• Lab 07: Data Processing and Text (Due: Tuesday, March 2nd at 11:59pm)
• Lab 08: Tables (Due: Tuesday, March 9th at 11:59pm)
• Lab 09: JSON (Due: Tuesday, March 22nd at 11:59pm)

Practice

• A set of practice programming exercises will be provided before the tests to help you build your skill at writing short functions.

JavaScript p5

• The course is taught using the ( JavaScript p5 ) programming environment. When working on assignments, the reference reference section section will be especially useful.

Textbook

No required textbook, but there is a recommended textbook: Lauren McCarthy, Casey Reas, and Ben Fry. Getting Started with p5.js. Published October 2015, Maker Media. Paperback. An electronic version of the textbook is available through the University of Waterloo library at: https://ocul-wtl.primo.exlibrisgroup.com/permalink/01OCUL_WTL/5ob3ju/alma999986579998305162 Anyone with an email address ending in uwaterloo.ca can access the above link. If you are asked to select your institution, then select “Not Listed” and log in using your uwaterloo.ca email address.

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.

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

AccessAbility Services (AAS), 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 AAS at the beginning of each academic term.

More Information

Academic Integrity and Students with Disabilities