COMP1927 Data Structures and Algorithms
The University of New South Wales, , Prof. Richard Buckland
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Updated On 02 Feb, 19
Intro to labs - Compiling - gcc and/or eclipse - Problem Solving - topdown, systematic - Problem Solving - abstraction - if/then/else, chained ifs, while loops, function calls - primative types - typecasting - pointers - pass by reference/pass by value - arrays - arrays 2D+ - strings (basic) - strings (advanced) - subtle problems with terminating byte - pointer arithmetic (brief) - structure of memory - dynamic memory allocation - stack frames - stack overflow security - recursion (intro) - linked lists - adts (intro) - trees (intro building traversing) - graphs (intro using adjacency matrix) - adts (using, constructing) - stacks, queues - recursion - time and space complexity - big oh notation - analysing complexity (a priori) - analysing complexity (a postori) - big oh notation - bfs dfs search - trees and tree algorithms - self balancing trees - graphs and graph algorithms - c99 extensions - for, switch - intro to unstructured commands - style - documentation - unit testing - systematic debugging - programming in groups
4.1 ( 11 )
This is the first part of Lecture 35 in Computing2 The Science of Computer Science aka Comp1927 Data Structures and Algorithms.
Sep 12, 2018
Excellent course helped me understand topic that i couldn't while attendinfg my college.
March 29, 2019
Great course. Thank you very much.