Spring 2020 - CMPT 307 D100
Data Structures and Algorithms (3)
Class Number: 6670
Delivery Method: In Person
Course Times + Location:
Mo, We, Fr 11:30 AM – 12:20 PM
AQ 3005, Burnaby
Exam Times + Location:
Apr 17, 2020
12:00 PM – 3:00 PM
TAKE HOME-EXAM, Burnaby
1 778 782-6705
Prerequisites:CMPT 225, MACM 201, MATH 151 (or MATH 150), and MATH 232 or 240.
Analysis and design of data structures for lists, sets, trees, dictionaries, and priority queues. A selection of topics chosen from sorting, memory management, graphs and graph algorithms.
The objective of this course is to introduce concepts and problem-solving techniques for the design and analysis of efficient algorithms through studying data structures, algorithms, and algorithmic techniques.
- Introduction 1: algorithm design and analysis examples, computation models, Big-O analysis
- Introduction 2: divide and conquer, analysis of recurrence, randomized algorithms
- Sorting and order statistics: Heapsort, Quicksort, other sorting problems
- Simple data structures: lists, stacks, queues, trees, hash tables
- Algorithm design and analysis techniques, dynamic programming, greedy, amortized analysis
- Advanced data structures, B-trees, Fibonacci heaps
- Graph algorithms, graph search, minimum spanning trees, shortest paths
- Selected topics, NP-completeness, string matching, maximum flow
The course has a final examination, homework assignments, and quizzes or midterms. The grade distribution will be announced during the first week of classes.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
MATERIALS + SUPPLIES:
- Algorithm Design , J. Kleinberg, E. Tardos, Addison-Wesley, 2006, 9780321295354
- Introduction to Algorithms
- (3rd Edition)
- T.H. Cormen, C.E. Leiserson, R.L. Rivest, C. Stein
- MIT Press
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