EECS 376: Foundations of Computer Science

The University of Michigan
Winter 2024
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An introduction to Computer Science theory, with applications. Design and analysis of algorithms, including paradigms such as divide-and-conquer and dynamic programming. Fundamentals of computability and complexity -- learn to identify what problems a computer cannot solve at all, what problems are unlikely to be efficiently solvable, and how to apply approximations to such problems. Introduction to randomness in computation, including how algorithms can benefit from randomness and how to analyze randomized algorithms. Applications of computational hardness to cryptography, including specific algorithms that are essential to the internet.

See the syllabus for all the details.

Welcome to EECS 376, Winter 2024!

We're glad you're here. This semester all instruction will be in person.

Make sure to have a laptop and a reliable internet connection.

More details in the syllabus.

Calendar   Open Regular Calendar Open OH Calendar Open OH Schedule

Schedule

Day # Material and Readings in Notes Deadline Optional Readings*
Design and Analysis of Algorithms
Mon 8 Jan No Class
Wed 10 Jan L01 Introduction, The Potential Method 1 2 MM: 1, 2-2.2, Sip 7.1
Discussion D01 Review: Proofs, Asymptotic Notation, Induction
Mon 15 Jan No Class - MLK Day
Wed 17 Jan L02 Divide and Conquer 1
HW1
8pm ET
MM: 2.3, 3-3.1, 3.2.1 (Mergesort)
Discussion D02 Divide and Conquer
Mon 22 Jan L03 Divide and Conquer 2
Wed 24 Jan L04 Dynamic Programming 1
HW2
8pm ET
MM: 3.3-3.4
Discussion D03 Divide and Conquer & Dynamic Programming
Mon 29 Jan L05 Dynamic Programming 2
Wed 31 Jan L06 Dynamic Programming 3
HW3
8pm ET
Discussion D04 Dynamic Programming
Mon 5 Feb L07 Greedy Algorithms MM: 3.5
Computability
Wed 7 Feb L08 Formal Languages and Finite Automata 1 2
HW4
8pm ET
Sip: 0.1, 1.1, 1.3
Discussion D05 Greedy and Finite Automata
Mon 12 Feb L09 Turing Machines and Decidability Sip: 3.1, 3.2
Wed 14 Feb L10 Diagonalization
HW5
8pm ET
Sip: 4.2
Discussion D06 Turing Machines and Diagonalization
Mon 19 Feb L11 The Acceptance and Halting Problems Sip: 5.1, 5.3
Wed 21 Feb L12 Reducibility
HW6
8pm ET
Sip: 5.2
Discussion D07 Acceptance and Reducibility
Midterm
Mon 26 Feb No Class - Spring Break
Wed 28 Feb No Class - Spring Break
Discussion No Class - Spring Break
Mon 4 Mar L13 Midterm Review
Wed 6 Mar L14 Midterm, 7-9pm ET
Midterm
7pm ET
Discussion D08 TBD
Complexity
Mon 11 Mar L15 The Classes P and NP Sip: 7.2, 7.3
Wed 13 Mar L16 The Cook-Levin Theorem Sip: 7.4
Discussion D09 NP Overview
Mon 18 Mar L17 Reductions and NP-Completeness Sip: 7.5
Wed 20 Mar L18 NP-Complete Problems 2
HW7
8pm ET
Discussion D10 NP-Completeness
Mon 25 Mar L19 Search and Approximation Algorithms Sip: 10.1
Wed 27 Mar L20 Approximation Algorithms 2
HW8
8pm ET
Discussion D11 Search and Approximation
Randomness in Computation
Mon 1 Apr L21 Probability, Randomness in Computation
Wed 3 Apr L22 Randomness in Computation 2
HW9
8pm ET
Discussion D12 Randomness and Modular Arithmetic Review
Mon 8 Apr L23 Randomness in Computation 3
Cryptography
Wed 10 Apr L24 One-time Pad, Diffie-Hellman, and Discrete Logarithm 1 2
HW10
8pm ET
Sip: 10.6
Discussion D11 Randomized Algorithms
Mon 15 Apr L25 RSA and Factoring
Wed 17 Apr L26 Zero-knowledge proofs
HW11
8pm ET
Discussion D12 Intro to Cryptography
Special Topics
Mon 22 Apr L27 Special Topcs (Untested Material)
Final Exam
Wed 24 Apr No Class - End of Semester
Discussion No Class - End of Semester
Wed 1 May Final Exam, 7–9pm
Final
7pm ET
MM: The Nature of Computation by Cris Moore and Stephan Mertens, available online
Sip: Introduction to the Theory of Computation by Michael Sipser, 2nd or 3rd edition

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