The small minority (about or under 20% of students) may give up trying because they think they cannot handle it. The majority of students catch up and do extremely well. As a computer scientist, you need to have to skill to catch up with the new technology quickly (in contrast to knowing one or two of these very well from your school days). New programming languages, environments, tools and techniques find their way to the market every day. Computer science is a very dynamic field. Given the fact that most of you are about to graduate and start your new careers, this situation simulates what you will face very soon in your work environment. This process will involve learning to use tools in a relatively short period of time (12 weeks). This gives you a chance to practice the theory, and to get to know these tools that may be useful to you in your future careers.
WEBSITES LIKE COURSEFORUM VERIFICATION
covering theoretical foundations of various verification and testing techniques, and.
These techniques range proving programs correct using theorem provers (involves a lot of contribution from the user) to testing (fully automatic). In this course, we aim to expose you to a variety of techniques used to ensure software reliability. The Goal of the Course and Learning Objectives Fridays 3-4pm in MP 137 (typically the tutorial slot, but there will be a few exceptions)įridays 4:10-5 in BA 3201 (if there is a steady stream of students, the office hours will go for longer) Grading Scheme.Markus (becomes active on September 15)Īzadeh Farzan: azadeh at cs dot toronto dot edu TA Team.Grades (of non-Markus items) are posted on Quercus.The course forum (access code provided on Quercus).(Fall 2022, under construction) General Information
0 kommentar(er)
