CS 341: Algorithms, Spring 2016
David R. Cheriton School of Computer Science
We will not use the newsgroup
uw.cs.cs341. Instead we will use
Piazza for all
course discussion and announcements.
Timothy Chan, DC 2107, x36941, tmchan "at" uwaterloo "dot" ca
Office hours: Wednesday 12-1PM, or by appointment
Semih Salihoglu, DC 3351, x37522, semih.salihoglu "at" uwaterloo "dot" ca
Office hours: Tuesday 1-2PM @DC3351, or by appointment
Time and Place:
TA office hours will be announced on piazza. Alternatively you can email for an appointment.
- Section 1: Tuesday & Thursday, 1:00 PM - 2:20 PM, MC 4040 (Chan)
- Section 2: Tuesday & Thursday, 2:30 PM - 3:50 PM, MC 4040 (Chan)
- Section 3: Tuesday & Thursday, 11:30 AM - 12:50 PM, MC 1056 (Salihoglu)
Eddie Cheung. eycheung "at" uwaterloo "dot" ca. Office: DC2594.
Stephanie Lee. s363lee "at" uwaterloo "dot" ca. Office: DC3552.
Vijay Menon. v3menon "at" uwaterloo "dot" ca. Office: DC2515.
Camila Perez. cmperezg "at" uwaterloo "dot" ca. Office: DC2506.
Daniel Recoskie. dprecosk "at" uwaterloo "dot" ca. Office: DC2306A.
Hong Zhou. h76zhou "at" uwaterloo "dot" ca. Office: DC2581.
- Assignments 30% -- see dates below.
- Midterm 20% -- 7:00 PM - 9:00 PM (Mon), June 20, 2016.
- Final Exam 50% -- TBA.
- First week's lecture topics:
Tuesday (May 3): Administrivia, Overview, Divide & Concur Example: Merge Sort. (Semih's slides)
Thursday (May 5): Dynamic Programming Example: Max Subarray, Greedy Example: Scheduling.
Assignments are due on Fridays at noon. Except for the third assignment, for which you will have three weeks, you will have two weeks to complete the assignments. Some of the assignments will contain programming questions, for which we will provide detailed instructions on how to submit your programs. The assignment due dates are as follows:
(No) Late policy:
- Assignment 1: May 20th (12 NN).
- Assignment 2: June 3rd.
- Assignment 3: June 24th.
- Assignment 4: July 8th.
- Assignment 5: July 22nd.
Late assignments will not be accepted and will be given a mark of zero. (Accidentally placing assignments in the wrong box or just "forgetting" are not considered valid excuses.) In case of genuinely extenuating circumstances such as serious illness, please let us know as soon as possible.
While you are not permitted to receive aid from other people, on many occasions, it is useful to ask others (TAs, the instructor, and other students) for hints generally about problem-solving strategies and presentation. This should be limited to the type of advice you get from the instructor and TAs during their office hours. Such activity is both acceptable and encouraged, but you must indicate on your assignments any assistance you receive. Any assistance received (from human or nonhuman sources) that is not given proper citation may be considered a violation of the university policies.
Remember that, you are responsible for understanding and being able to explain all of the statements in your homeworks and exam solutions. Most importantly, the solutions must be written up independently of the other students.
[CLRS] Cormen, Leiserson, Rivest, and Stein,
Introduction to Algorithms (3rd ed.), MIT Press,
2009 (QA76.6 .C662 2009).
CLRS is available in the Davis Centre Library Reserves, as well as the following textbooks:
- [DPV] Dasgupta, Papadimitriou, and Vazirani, Algorithms (QA9.58 .D37 2008);
- [KT] Kleinberg and Tardos, Algorithm Design
- [BB] Brassard and Bratley, Fundamentals of Algorithmics
- [GJ] Garey and Johnson, Computers and Intractability: A Guide to the
Theory of NP-Completeness (QA76.6.G35 1979).
Suggested Readings from CLRS
Below is a list of relevant sections for some of the problems and topics covered in lectures. Less immediately applicable readings are given in parentheses.
- Introduction to algorithms and algorithm analysis: 1, 2
- Order notation: 3
- Recurrences: 4.3, 4.4, 4.5, (4.6)
- Find-Min-And-Max: Problem: 9.1
- Divide and Conquer
- Overview: Section 4
- Matrix Multiplication: 4.2
- Closest pair problem: 33.4
- Selection problem: 9.2, 9.3
- Greedy Algorithms
- Dynamic Programming
- Overview: 15
- Memoization: 15.3
- Longest common subsequence: 15.4
- Graph Algorithms
- Overview of graphs: B.4
- Graph representations: 22.1
- BFS: 22.2
- DFS: 22.3
- Topological Sort: 22.4
- Strongly Connected Components: 22.5
- Minimum spanning trees: 23
- Kruskal's algorithm and Prim's algorithm: 23.2
- Single-source shortest paths: 24
- Single-source shortest paths algorithm for DAGs: 24.2
- Dijkstra's algorithm: 24.3
- All-pairs shortest parts: 25
- Floyd-Warshall algorithm: 25.2
- Theory of NP Completeness
- Overview: 34
- P: 34.1
- NP: 34.2
- NP-completeness, NP-hardness, and reductions: 34.3
- SAT, 3-CNF-SAT: 34.4
- clique, vertex-cover, Hamiltonian cycle, traveling-salesman, and subset-sum problems: 34.5
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