DATA - Data Structures and Algorithms

Module Title:Data Structures and Algorithms
Language of Instruction:English
Credits: 5
NFQ Level:6
Module Delivered In 3 programme(s)
Teaching & Learning Strategies: As well as traditional lectures students will undertake problem sheets on material presented in class using pseudocode for implementation. Small group tutorials will encourage further problem solving and discussion.
Module Aim: To introduce the student to Data structures and Algorithms, with an emphasis on application to general problem solving.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Design and implement Abstract Data Types including lists, stacks, queues, rings, maps, etc.. and their corresponding algorithms;
LO2 Implement a variety of structures and algorithms for storing, searching and sorting data;
LO3 Outline a range of algorithms for the basic data structures in the areas of graph theory.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
First year programming or equivalent Specifically Array storage

Module Content & Assessment

Indicative Content
Array Algorithms
Review of vectors and matrices, basic array algorithms
Data Structures and Algorithms
Lists, stacks, queues, rings, maps, Hash tables and collision strategies
Basic Graph Theory
Definitions, Representing and applications of simple graphs, Graph theory algorithms.
Sorting Algorithms
Simple sorting, bubble, selection, insertion, radix algorithms
Searching Algorithms
Linear, binary and hashing. Also Graph searching.
Assessment Breakdown%
Continuous Assessment20.00%
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Other Class test either online or in-class 1,2 20.00 Week 4
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Project Group project to design, implement and code the structures and algorithms of a given application (e.g. A Car wash application) and presented in report format 1,2,3 50.00 Week 9
Project Take Home sheet : to solve a set of unseen problems. Will involve choosing and applying appropriate data structures and algorithms. 1,2,3 30.00 Week 12
No Practical
No End of Module Formal Examination

SETU Carlow Campus reserves the right to alter the nature and timings of assessment


Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture 12 Weeks per Stage 2.00
Tutorial 12 Weeks per Stage 1.00
Estimated Learner Hours 15 Weeks per Stage 5.93
Total Hours 125.00

Module Delivered In

Programme Code Programme Semester Delivery
CW_KCSOF_B Bachelor of Science (Honours) in Software Development 3 Mandatory
CW_KCSOF_D Bachelor of Science in Software Development 3 Mandatory
CW_KCCOM_C Higher Certificate in Science in Computing Programming 3 Mandatory