Welcome to the course webpage for the Summer 2016 term of CSC108H, an Introduction to Computer Programming, on the St. George campus. This course teaches the basics of programming in Python, which is an industrial-strength programming language used at companies like Google and Industrial Light and Magic.
Yomna Aly is the course Instructor, which means that she deals with all administrative matters: missed work, problems with your grades, problems with assignment partners, the course website, and TA issues. If you're not sure who to contact, though, feel free to ask me!
The textbook, Practical Programming (2nd edition): An Introduction to Computer Science Using Python 3, matches very closely with the course material. Some notes:
- The first edition is out of date: it uses Python 2, not Python 3. Also, the material in the second edition is much, much closer to what we teach in this course.
- You can purchase an eBook or a paper book. eBook ($25 USD): available in PDF, ePub, and mobi.
- The book is also available from the UofT Bookstore and online retailers including amazon.ca.
A typical week: Prepare, Rehearse, Perform
Each week, you'll use the an online tool called the Programming Course Resource System (PCRS) to view course materials and complete exercises. The weekly tasks are divided into three phases:
- Prepare (5%)
We will post lecture videos and problems that cover the course topics for the upcoming week. After watching the videos and working through the problems, you must complete the Prepare exercise. Each Prepare exercise is worth 0.5% (best 9 of 10) and is due Wednesday by 6:00pm.
Next, you will practice applying the concepts covered in the lecture videos by completing activities of various kinds and working through more complex examples.
During lecture, you'll practice the material with the support of your instructor and teaching assistants. (CSC108H is being run as an inverted class.)
- Perform (9%) Finally, using the PCRS, you'll complete a Perform exercise based on material covered in the Prepare and Rehearse phases. Each Perform exercise is worth 1% (best 9 of 10) and is due Sunday by 11:59 pm.
The three assignments are due in weeks 4, 9, and 12. Don't leave these to the last minute: they are substantially more work than the weekly lab exercises, and we expect that you will work on them for several hours each week.
In addition to this website, please see the Syllabus, which is required reading.
We'll use Blackboard for electronic discussion.
For office hours, please see Office hours.
For general inquiries regarding the undergraduate computer science program, please contact the Computer Science Undergraduate Office.