CIT 5920
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Exam 1 on October 15th

Dear Students, Exam 1 will be held on Tuesday, October 15th, 2024: Time: 5:15 PM – 6:45 PM (regular class time) Location: Towne 217, the Forman Active Learning Classroom (regular classroom) The format of the exam will be a pen-and-paper exam, with an optional cheatsheet (see below for details). There will be a PrairieLearn component released after the exam, which is optional and worth 25% of the overall grade, to be completed on your own time by Sunday, October 20th, 2024.
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Office Hours Posted!

Office hours have been posted on the Schedule page. You can access office hours on OHQ.io, the queue system designed by Penn Labs.

Lecture 2 Posted

The Lecture 2 tablet recording and Zoom recordings have been posted. Go to the Modules page to see it!

Canvas Website Launched

The Canvas website has finally been launched! 🚀 This should make it easier for you to access Ed Discussion and Gradescope, which are both accessible from links at the top of this page. In the Sep 3 lecture, we also discussed the two helper documents: Common Mistakes Primer for simple math simplification mistakes. Algebraic Simplification Rules to refamiliarize yourself with algebraic rules useful in the course.

Lecture Recording Posted

The recording of Lecture 1 of Sep. 3 has been posted on Panopto. You can expect every future lecture to be recorded and be made available within a few hours. These recordings are automatically made, courtesy of CETS, Penn Engineering’s technology support team. The campus-wide license of Panopto allows us to record and share lectures with you, and is courtesy of Rob Nelson, the Director of Academic Technology Services at Penn Engineering.
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Textbooks for Discrete Math for Computer Science

The topic of discrete math is covered in many textbooks, and so there are a lot of different options to choose from. When looking for textbooks or resources for this course, it is important to consider the following: Topic Match: The topics covered in this course (in order) are: Sets, relations, counting (also called combinatorics), discrete probability, logic, discrete proofs, and an introduction to simple graphs. The textbook should cover these topics in a way that is accessible to a computer science student.
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