CSCE 411 Design and Analysis of Algorithms

Fall 2015
Course Information


Where: HRBB 113
When: MWF 11:30am-12:20pm

Instructor: Andreas Klappenecker
Office: HRBB, Room 509B
Office Hours: MT 1:30-2:30pm or by appointment.
e-mail: klappi at cse.tamu.edu

Teaching Assistant: Sangjun Lee
Office: HRBB 509A
Office hours: MTWR 3:00-4:00pm

General Information


Course information: The syllabus can be found on howdy.
Questions? Come to our office hours or ask during class.

Announcements

Homework

Schedule

M Aug 31 Introduction; read Chapters 1-2 for background
W Sep 02 Sums; read lecture notes.
W Sep 02 Flipped: LaTeX (optional, for those w/o LaTeX background)
F Sep 04 Asymptotic notations
F Sep 04 Flipped: Asymptotic Notations
M Sep 07 Sorting lower bounds; read Chapter 8.1
T Sep 08 Flipped: Finding the 2nd Largest Element
W Sep 09 Adversarial lower bounds; finding second largest element
T Sep 10 Flipped: Divide and Conquer
F Sep 11 Adversarial lower bounds; divide and conquer; read Chapter 4
M Sep 14 Flipped: Strassen's matrix multiplication
M Sep 14 Strassen's matrix multiplication; read Chapter 30
T Sep 15 Flipped: Fast Fourier Transform, Part I
W Sep 16 Fast Fourier Transform
R Sep 17 Flipped: Fast Fourier Transform, Part II
F Sep 18 Fast Fourier Transform
M Sep 21 Fast Fourier Transform; Greedy Algorithms; Giving Change
M Sep 21 Flipped: Greedy Algorithms: Giving Change
W Sep 23 Greedy Algorithms and Matroids; read Chapter 16
W Sep 23 Flipped: Greedy Algorithms and Matroids
F Sep 25 Greedy Algorithms and Matroids; Bipartite Matching
F Sep 25 Flipped: Bipartite Matching
M Sep 28 Dynamic Programming - Coin Change; read Chapter 15
M Sep 28 Flipped: Dynamic Programming - Coin Change (review)
W Sep 30 Dynamic Programming - Longest Common Subsequence
T Oct 1 Flipped: Matrix Chain video
F Oct 2 Dynamic Programming - Matrix Chain Multiplication
M Oct 05 Flipped: Amortized Analysis of the Multipop Stack (review)
M Oct 05 Amortized Analysis; read Chapter 17
M Oct 05 Flipped: Amortized Analysis of vector::push_back (review)
W Oct 07 Dynamic Programming, Amortized Analysis
F Oct 09 Review
M Oct 12 Midterm exam
W Oct 14 Graph algorithms, BFS, DFS
W Oct 14 Flipped: Topological Sorting
F Oct 16 Topological Sorting, Strongly Connected Components
F Oct 16 Flipped: Strongly Connected Components
M Oct 19 Graph Algorithms, Strongly Connected Components, Shortest Path Algorithms
W Oct 21 Graph Algorithms: Shortest Path Algorithms
F Oct 23 Randomized Algorithms: Basics of Probability Theory
F Oct 23 Flipped: Probability Theory (review)
M Oct 26 Randomized Algorithms: Minimum Cut
W Oct 28 Randomized Algorithms: Quicksort
F Oct 30 Randomized Algorithms: Randomized Selection
M Nov 02 Complexity Theory: The Complexity Classes P and NP
W Nov 04 Complexity Theory: NP-Completeness
F Nov 06 Complexity Theory: NP-Completeness of SAT and 3SAT
F Nov 06 Flipped: Read Chapter 34 in CLRS
M Nov 09 Complexity Theory: NP-Completeness of 3SAT and Vertex Cover
W Nov 11 Complexity Theory: NP-Completeness of Clique and Independent Set
F Nov 13 Approximation Algorithms
M Nov 16 Approximation Algorithms, 2SAT
W Nov 18 Undecidability
F Nov 20 Undecidability
M Nov 23 Undecidability
W Nov 25 Reading day: no class. Read Knuth's Satisfiability
F Nov 27 no class
M Nov 30 Sudoku
W Dec 02 Sudoku and SAT

Sudoku Programming Challenge

Lecture Notes and Slides

All classmaterial is copyrighted. Reposting is not permitted.