CS 577: Introduction to Algorithms

    Spring 2018
 



      Course Calendar
      Canvas Sec 1
      Canvas Sec 2
      Piazza


    For students on the waiting list: This class is currently full. As space opens up, we will admit students off of the waiting list into the course. The waiting list is long and we expect to be able to admit only a small fraction of the students. Please email advising@cs.wisc.edu for any help with enrollment.

    Meeting times:

      Section 1 meets on T/Th at 9:30-10:45 am in Sterling 1310. Instructor: Prof. Shuchi Chawla

      Section 2 meets on T/Th at 1:00-2:15 pm in Soils 270. Instructor: Dr. Baris Aydinlioglu

      Discussions are held at various times on M/W. All discussion sections have identical content every week and students are free to attend any section.

      In addition to the above meeting times, we provide many opportunities for students throughout the week to meet with staff in the form of small study groups, individual meetings, drop-in help, and regular office hours. Please see our Piazza post on how to contact course staff for the specifics. A schedule for meeting times is posted on the course calendar (see below).

    Further information and quick links:

      We will use Piazza to post information relevant to the course and carry out discussions. Sign up here.

      A Course Calendar is available here in iCal format and here in html format.

      A syllabus can be found on Piazza or on Canvas (Section 1 and Section 2). Grades will also be posted on canvas.

      Other course info including syllabus, textbook information, course policies, etc. can be found on Piazza.

    Tentative Course Schedule


    Week 1 Intro; Divide & Conquer HW0 out
    Week 2 Divide & Conquer HW1 out
    Week 3 Graphs and connectivity HW1 due, HW2 out
    Week 4 Greedy algorithms HW2 due, HW3 out
    Week 5 Greedy algorithms; Dynamic Programming HW3 due, HW4 out
    Week 6 Dynamic Programming HW4 due, HW5 out
    Week 7 Dynamic Programming HW5 due, HW6 out
    Week 8 Randomized algorithms HW6 due, Sample Midterm out
    Week 9 Randomized algorithms Midterm Exam on March 21, HW7 out
    Spring Break
    Week 10 Reductions; Network Flow
    Week 11 Reductions; Network Flow HW7 due, HW8 out
    Week 12 Reductions; P vs. NP HW8 due, HW9 out
    Week 13 NP-Completeness; Complexity Classes HW9 due, HW10 out
    Week 14 Dealing with intractability HW10 due, Sample Final out