DATA - Data Structures and AI Algorithms

Module Title:Data Structures and AI Algorithms
Language of Instruction:English
Credits: 5
NFQ Level:7
Module Delivered In 1 programme(s)
Teaching & Learning Strategies: The course material will be delivered by laboratory based lectures where learners can use a programming environment to explore data structures as they are introduced. Learners will also be assigned practical exercises which will enable them incorporate fundamental data structures into their general project work. Students will also be assigned a project to implement a shortest path algorithm with visualisation into a game prototype.
Module Aim: To give the learner an understanding of complex data structures and algorithms and their applications in computer games.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Use data structures and algorithms from an existing professional library
LO2 Design and implement a selection of common data structures and algorithms using object-oriented techniques
LO3 Describe and implement various pathfinding techniques
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.
No requirements listed

Module Content & Assessment

Indicative Content
Introduction to templates and core concepts of the Standard Template Library
Common Containers
Linked lists; queues; priority queues; maps; hash tables.
Graph theory
Directed and undirected graphs; weighted graphs; graph representations; graph traversal algorithms.
Breadth-first search, depth-first search, shortest path algorithms, A* pathfinder.
Assessment Breakdown%
End of Module Formal Examination40.00%
No Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Project Implementation of shortest-path pathfinding algorithm. 3 20.00 Week 11
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Participation in and completion of practical work. 1,2,3 40.00 n/a
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam 90 minute written examination. 1,2,3 40.00 End-of-Semester

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 1.00
Laboratory 12 Weeks per Stage 4.00
Estimated Learner Hours 15 Weeks per Stage 4.33
Total Hours 125.00

Module Delivered In

Programme Code Programme Semester Delivery
CW_KCCGD_B Bachelor of Science (Honours) in Computer Games Development 5 Mandatory