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Computer Science 20

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# Computer Science 20 - PowerPoint PPT Presentation

Computer Science 20. All the Math you need for your Computer Sc ience courses t hat you won’t learn in your Math Courses. Discrete Mathematics for Computer Science. Some Topics. b. a. c. d. f. Formal logic ( p∨q ) ∧¬( p∧q ) Graphs and digraphs Probability Counting

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### Computer Science 20

All the Math you need for your Computer Science courses

that you won’t learn in your Math Courses

Discrete Mathematics for Computer Science

Some Topics

b

a

c

d

f

Formal logic (p∨q) ∧¬(p∧q)

Graphs and digraphs

Probability

Counting

Number theory p ≡ qr (mod m)

… see the “placement test” on the web site

Skills!!!
• How to do proofs
• By contradiction
• By induction
• How to read and write mathematics
• And typeset!
• How to collaborate
• How to present clearly and persuasively
3 Principles of Course Philosophy

Learning, not competing

Learn by doing, not by listening

Many small bites

Typical Class Day
• Before class:
• Reading and check-in problems (30-60 mins)
• In class
• Mini-lecture (10-20 mins)
• Collaborative problem solving in groups of 4 (30-40 mins)
• After class and before next class
• Homework (60-90 mins)
• So class week =
• 3 hours class time
• ≤ 7.5 hours out-of-class time
• Most readings from MIT course notes
Requirements
• Attendance is mandatory!
• See “Course policies” for details
• Official/emergency absences ⇒ email [email protected]
• Class begins at 10:10 sharp
• Homework boxes removed at 10:15, no late submissions
• 2 hour exams
• 3-hour final during exam period
Tentative Grading Mix

Homework 35%

Midterms (2) 30%

Final exam 25%

Check-in questions 10%

(Poor attendance: Exclusion or failure)

Support and Resources
• Web site
• Where schedule, HWs, slides, etc. are posted
• TFs
• See calendar on web site for office hours
• Volunteers
• Piazza (after study card day)
• Tool for answering check-in questions (see course home page and get an account!)
• Reading assignments and check-in questions are on the check-in tool