University Of Limerick

Data Structures and Algorithms


Iowa State Course Substitution

Introduction to Data Structures

COM S 228

Course Info

International Credits: 6.0
Converted Credits: 3.5
Country: Ireland
Language: English
Course Description:
Module Code - Title: CS4115 - DATA STRUCTURES AND ALGORITHMS Year Last Offered: 2017/8 Hours Per Week: Grading Type: N Prerequisite Modules: Rationale and Purpose of the Module: To provide a uniform theoretical treatment of the data structures and algorithms used in systems and applications programming. This module includes a practical component to reinforce learning and to encourage students in the practical use of theoretical material. Syllabus: - Mathematics Review; - Review of the ADTs, internals and usage of simple data structures and associated algorithms, in particular recursive algorithms; - Linked Lists and Networks; - Recursion, and the elimination of recursion from algorithms; - Study of sorting algorithms: quicksort, heapsort, mergesort and bucket and radix sorting; - Analysis of general divide-and-conquer algorithms; - Searching: tree searching, AVL trees, splay trees; - Graph algorithms: graph traversal and spanning forests, depth and breadth first search of graphs; connectivity; minimal spanning trees for weighted graphs; shortest path algorithms; networks. Learning Outcomes: 11/27/2017 Book of Modules 2/2 Cognitive (Knowledge, Understanding, Application, Analysis, Evaluation, Synthesis) Upon successful completion of the module the student will be able to: 1. Given a function or functions in pseudo-code, analyse their asymptotic running time; 2. Given an executable program in black-box form, determine its asymptotic running-time behaviour; 3. Given a fictitious customers requirements for data storage and their data retrieval patterns, propose appropriate data structures; 4. Identify appropriate sorting and searching algorithms for contrasting scenarios; 5. Understand the trade-offs of various graph representation schemes; 6. Formulate data access and optimisation problems as graph algorithms. Affective (Attitudes and Values) N/A Psychomotor (Physical Skills) N/A How the Module will be Taught and what will be the Learning Experiences of the Students: Research Findings Incorporated in to the Syllabus (If Relevant): Prime Texts: Jeffrey J. McConnell (2007) Analysis of Algorithms (2nd edition) , Jones and Bartlett Anany V. Levitin (2006) Introduction to the Design and Analysis of Algorithms (2nd edition) , Addison Wesley T. H. Cormen et. al. (2001) Introduction to Algorithms (2nd edition) , MIT Press N. Wirth (1976) Algorithms + Data Structures = Programs , Prentice-Hall Other Relevant Texts: Programme(s) in which this Module is Offered: Semester - Year to be First Offered: Spring - 08/09 Module Leader:


Evaluation Date:
December 4, 2017
Xiaoqiu Huang