COMP 355
Advanced Algorithms
(CRN 18286, Fall 2017)

Announcements


  • The first lecture will be held on August 23, 2017.
  •  

    Course Description


    This course is an in-depth study of the design and analysis of advanced algorithms, including the performance tradeoffs and resources required by various algorithmic implementations. Major classes of computational problems will be identified and explored. Advanced data structures and approximation heuristics are introduced as required for solution design. Topics will include the Master Theorem, dynamic programming, divide-and-conquer and greedy algorithms.

    The syllabus for this course can be found at http://cs.rhodes.edu/welshc/COMP355_F17/syllabus.pdf.

    Book, Course Information, and Prerequisites


    Algorithms Book

    Textbook: Required: Algorithm Design, by Jon Kleinberg and Eva Tardos, Addison-Wesley, 2005.
    (Optional) Introduction to Algorithms, 3rd Edition by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein, MIT Press, 2009.
    Location: Briggs 119
    Time: MWF 2-2:50PM
    URL: http://cs.rhodes.edu/welshc/COMP355_F17/
    Prerequisite: COMP 172 and COMP 241



    Course Instructor


    Instructor: Catie Welsh
    Office: Briggs 208
    Email: welshc@rhodes.edu (please include “CS 355" somewhere in the subject)
    Office Hours: MW 3-4pm, Thurs 10am-12pm, or by appointment - Briggs 208







    Schedule


    This is a tentative schedule and subject to change as needed.

    Date Lecture Topic(s) Recommended Reading Homework
    W-August 23 Introduction/Course Overview pdf Chapter 1  
    F-August 25 Stable Matching Algorithm Section 1.1
    M-August 28 Analyzing Algorithms pdf Sections 2.1, 2.3-2.4
    W-August 30 Asymptotic Forms pdf Section 2.2
    F-September 1 Master Theorem pdf CLRS Chapter 4 Homework 1
    PS1_input.txt
    M-September 4 Holiday- No Class
    W-September 6 Sorting and Selection pdf
    F-September 8 Greedy Algorithms for Scheduling pdf Ch. 4 Intro, Sections 4.1-4.2 (KT)
    M-September 11 More on Greedy Algorithms pdf Section 4.8
    W-September 13 Huffman Encoding pdf Section 4.8 Homework 2
    F-September 15 Graphs: Definitions, Representations, and Traversals Chapter 3
    M-September 18 Graphs: Topological Sort pdf Section 4.5
    W-September 20 Minimum Spanning Trees pdf Section 4.5
    F-September 22 Dijkstra's Algorithm for Shortest Paths pdf
    Practice Problems
    Section 4.4
    M-September 25 Midterm Review
    W-September 27 Midterm 1
    F-September 29 Divide-and-Conquer: Inversion Counting pdf Section 5.1-5.3
    M-October 2 Divide-and-Conquer: Closest Pairs pdf Section 5.4 Homework 3
    W-October 4 Divide-and-Conquer: Selection pdf
    F-October 6 Dynamic Programming: Weighted Interval Scheduling pdf Section 6 intro, 6.1-6.2
    M-October 9 Dynamic Programming: Knapsack & LCS pdf Section 6.4
    W-October 11 Dynamic Programming: Manhattan Tourist Problem & Sequence Alignment pdf Section 6.6-6.7
    F-October 13 Bellman-Ford Algorithm for Shortest Paths pdf Section 6.8
    M-October 16 Fall Break - No Class
    W- October 18 All-Pairs Shortest Paths, Floyd-Warshall Algorithm pdf CLRS Section 25.2
    F-October 20 Network Flows pdf Section 7.1-7.3 Homework 4
    M-October 23 More on Network Flows pdf Section 7.5-7.6
    W-October 25 Extensions to Network Flow pdf Section 7.7-7.12
    F-October 27 Practice Problems
    M-October 30 Midterm Review
    W-November 1 Midterm 2
    F-November 3 NP-Completeness: Definitions pdf Chapter 8 intro
    M-November 6 NP-Completeness: Reductions pdf Chapter 8 (KT)
    34.2-34.3 (CLRS)
    W-November 8 Cook's Theorem, 3SAT, Independent Set pdf Ch. 8 (KT)
    34.4-34.5 (CLRS)
    Homework 5
    F-November 10 Clique, Vertex Cover, and Independent Set pdf Ch. 8 (KT)
    34.5 (CLRS)
    M-November 13 Dominating Set pdf Ch. 8 (KT)
    34.5 (CLRS)
    W-November 15 NP-Complete Practice Problems
    F-November 17 Approximation Algorithms: VC & TSP pdf Chapter 11 (KT)
    M-November 20 Approximation Algorithms: Set Cover and the Greedy Heuristic pdf Chapter 11 (KT)
    35.3 (CLRS)
    Homework 6
    W-November 22 Holiday- No Class
    F-November 24 Holiday- No Class
    M-November 27 Subset Sum pdf Section 6.4 & 8.8 (KT)
    Section 35.5 (CLRS)
    W-November 29 Subset Sum Approximation pdf Section 6.4 & 8.8 (KT)
    Section 35.5 (CLRS)
    F-December 1 Practice Problems
    M-December 4 Practice Problems
    W-December 6 Wrap-Up/Evals
    Tues-December 12 Final Exam,Time: 5:30-8pm

    *Special thanks to Dave Mount for the use of his excellent notes and class materials.