Fall 2022 - CMPT 307 D100
Data Structures and Algorithms (3)
Class Number: 5236
Delivery Method: In Person
Course Times + Location:
Mo, We, Fr 9:30 AM – 10:20 AM
EDB 7618, Burnaby
Exam Times + Location:
Dec 17, 2022
3:30 PM – 6:30 PM
SWH 10081, Burnaby
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:
- Basic graph algorithms
- Greedy algorithms
- Divide and conquer algorithms
- Dynamic programing algorithms
- Network flow algorithms
- Randomized algorithms
- Data structures supporting algorithms studied
Grading will be based on six in-class quizzes and a final exam. Details will be provided in the first week of classes.
J. Kleinberg, É. Tardos
Available in various forms online, as well as hard cover.
REQUIRED READING NOTES:
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