CSCE 411 Design and Analysis of Algorithms

Spring 2015
Course Information


Where: HRBB 126
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

General Information


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

Announcements

Homework

Schedule

W Jan 21 Introduction; read Chapters 1-2 for background
F Jan 23 Sums; read lecture notes.
S Jan 24 Flipped: LaTeX (optional, for those w/o LaTeX background)
M Jan 26 Sums; read lecture notes.
W Jan 28 Asymptotic notations
F Jan 30 Asymptotic notations; read Chapter 3 and Lecture Notes
S Jan 31 Flipped: Asymptotic Notations
M Feb 02 Sorting lower bounds; read Chapter 8.1
W Feb 04 Adversarial lower bounds; finding second largest element
W Feb 04 Flipped: Finding the 2nd Largest Element
W Feb 04 Flipped: Divide and Conquer
F Feb 06 Adversarial lower bounds; divide and conquer; read Chapter 4
M Feb 09 Divide-and-Conquer; exploring the Master theorem
M Feb 09 Flipped: Strassen's matrix multiplication
W Feb 11 Strassen's matrix multiplication, Fast Fourier Transform; read Chapter 30
W Feb 11 Flipped: Fast Fourier Transform, Part I
F Feb 13 Divide and Conquer. Fast Fourier Transform
F Feb 13 Flipped: Fast Fourier Transform, Part II
M Feb 16 Fast Fourier Transform
W Feb 18 Fast Fourier Transform; Greedy Algorithms; Giving Change
W Feb 5 Flipped: Greedy Algorithms: Giving Change
F Feb 20 Greedy Algorithms and Matroids; read Chapter 16
F Feb 20 Flipped: Greedy Algorithms and Matroids
M Feb 23 Greedy Algorithms and Matroids; Bipartite Matching
M Feb 23 Flipped: Bipartite Matching
W Feb 25 Bipartite Matching; Dynamic Programming - Coin Change; read Chapter 15
F Feb 27 Flipped: Dynamic Programming - Coin Change (review)
F Feb 27 Dynamic Programming - Longest Common Subsequence
F Feb 27 Flipped: Matrix Chain video
M Mar 02 Dynamic Programming - Matrix Chain Multiplication; Amortized Analysis
W Mar 04 Amortized Analysis; read Chapter 17
F Mar 06 Amortized Analysis
F Mar 06 Flipped: Amortized Analysis of the Multipop Stack (review)
F Mar 06 Flipped: Amortized Analysis of vector::push_back (review)
M Mar 09 Midterm exam
W Mar 11 Graph algorithms, BFS
F Mar 13 Graph algorithms, DFS, Topological Sorting
F Mar 13 Flipped: Topological Sorting video
M Mar 16 Flipped: Strongly Connected Components
Mar 16-20 Spring Break
M Mar 23 Graph Algorithms, Strongly Connected Components
W Mar 25 Graph Algorithms: Shortest Path Algorithms
F Mar 27 Randomized Algorithms: Basics of Probability Theory
F Mar 27 Flipped: Probability Theory (review)
M Mar 30 Randomized Algorithms: Minimum Cut
W Apr 01 Randomized Algorithms: Quicksort
F Apr 03 No lecture
M Apr 06 Randomized Algorithms: Randomized Selection
W Apr 08 Randomized Algorithms: Birthday Problems
F Apr 10 Randomized Algorithms: 2SAT
M Apr 13 Complexity Theory: The Complexity Classes P and NP
W Apr 15 Complexity Theory: NP-Completeness
F Apr 17 Complexity Theory: NP-Completeness of SAT and 3SAT
F Apr 17 Flipped: Read Chapter 34 in CLRS
M Apr 20 Complexity Theory: NP-Completeness of 3SAT and Vertex Cover
W Apr 22 Complexity Theory: NP-Completeness of Clique and Independent Set
F Apr 24 Approximation Theory
M Apr 27 Approximation Theory
W Apr 29 Undecidability
W Apr 29 Flipped: Cantor's theorem and Uncomputable Functions
F May 01 Undecidability
M May 04 Undecidability, NPC of Minesweeper
T May 05 Homework Problems and Review

Lecture Notes and Slides

All classmaterial is copyrighted. Reposting is not permitted.