Summer 2023 - CMPT 307 D100
Data Structures and Algorithms (3)
Class Number: 3998
Delivery Method: In Person
Course Times + Location:
We 3:30 PM – 4:20 PM
SSCK 9500, Burnaby
Fr 2:30 PM – 4:20 PM
SSCK 9500, Burnaby
Exam Times + Location:
Aug 12, 2023
3:30 PM – 6:30 PM
SWH 10081, Burnaby
1 778 782-6912
Prerequisites:CMPT 225, (MACM 201 or CMPT 210), (MATH 150 or MATH 151), and (MATH 232 or MATH 240), all with a minimum grade of C-. MATH 154 or MATH 157 with a grade of at least B+ may be substituted for MATH 150 or MATH 151.
Design and analysis of efficient data structures and algorithms. General techniques for building and analyzing algorithms (greedy, divide & conquer, dynamic programming, network flows). Introduction to NP-completeness.
The objective of this course is to introduce concepts and problem-solving techniques that are used in the design and analysis of efficient algorithms. This is done by studying various algorithms and data structures.
- The following topics may be included:
- Motivating example: the stable matching problem
- Greedy (graph) algorithms, BFS, DFS, Dijkstra's Kruskal's and Prim's
- Simple data structures: priority queues (with heaps) and union-find
- Divide and conquer algorithms ant their anaysis: solving recursions
- Dynamic programing algorithms and their analysis
- Flow algorithms and matching
- Randomized algorithms
The course has a final examination (worth 40% of the total grade).
There will be four homework assignments which won't be collected and graded. Instead, there will be four 50-min quizzes in class (worth 15% each).
MATERIALS + SUPPLIES:
Introduction to Algorithms (3rd Edition), T.H. Cormen, C.E. Leiserson, R.L. Rivest, C. Stein, MIT Press, 2009, 9780262033848
J. Kleinberg, É. Tardos
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