COMP1927 Data Structures and Algorithms

The University of New South Wales Course , Prof. Richard Buckland

389 students enrolled

Overview

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

Lecture 40:

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        Lecture Details

        This is the first part of Lecture 35 in Computing2 The Science of Computer Science aka Comp1927 Data Structures and Algorithms.

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