Here are the modules which are currently offered on the Software Engineering and Database Technologies Masters programme, over two years.  Click on a module to read the content behind that module.  Course timetable available here.  

Modules offered can change from year to year, to reflect industry demand.

Year 1 Software Modules:

Core: CT611 Computer Architecture and Operating Systems [5 ECTs]

This module introduces the structure and operation of the various system components including the CPU, system buses and internal/external memory, with an emphasis on programming techniques and/or access mechanisms for those components. An overview of numbering systems and digital logic will complete the architecture section. In the second part of this module, students will apply their acquired knowledge to the design of an operating system (OS). Students will also learn how various OS features are applied in the Windows 2000/XP and UNIX operating systems.

Prerequisites: None

Core: CT609 Fundamentals of Programming [5 ECTs]

This is intended as a foundational programming module, suitable for students with no previous experience of computer programming as well as those with moderate previous knowledge or knowledge of languages other than C. It will provide students with a solid foundation in the key concepts of functional programming, as well as an appreciation of object-oriented programming. The emphasis is on applied problem-solving skills as well as on the theoretical concepts underlying the programming activity. Although the module focuses specifically on the C language, students who have successfully completed it will typically find learning other high-level languages relatively easy, having learned the important skills and concepts of programming in this module.

Prerequisites: None

Core: CT610 Software Engineering [10 ECTs]

This module will provide students with the fundamental software engineering knowledge necessary to develop and deliver quality software products. This course provides an overview of the development of software systems: software engineering encompasses technology, business, organisational and human concerns. The course brings together the various software components (technology) and the diverse issues impacting their development (process, project, people) to improve software product quality. The challenges of successfully completing software development projects will be addressed, practically (best practice with regard to methods, tools and techniques), empirically (based on actual findings) and theoretically (informed by a number of Software Engineering laws).

Prerequisites: None

Core: CT619 Object Oriented Programming [5 ECTs]

This module provides detailed coverage of Object Oriented (OO) programming principles. It focuses on programming in Java, an OO language that is modern, vendor-independent, and widely used in industry. Recognising that programming requires skill as well as knowledge, this module places emphasis on the practical aspects of developing significant Java programs using a professional development environment. Students learn how to model objects in software, define classes describing categories of objects, and make appropriate use of concepts such as inheritance, composition, encapsulation, polymorphism, abstract classes, and interfaces. The student learns to use graphics, interactivity and animation in Java.
As well as learning basic Java syntax and how to express OO concepts in Java, practical topics such as data storage, multi-threaded programming, and exception handling are addressed.

CT609 Fundamentals of Programming

Elective: CT618 Object Oriented Design [5 ECTs]

This module provides a comprehensive introduction to the field of Object Oriented Design and the Unified Modeling Language (UML). The application of UML is explored from analysis through design and on to final system implementation, highlighting the strengths of object orientation as an approach to systems development, where the one notation is used throughout. Students will develop object oriented analysis and design models using Computer Aided Software Engineering (CASE) tools, similar to those developed in the Software Engineering module.

Prerequisite: None

Elective: CT5114 Distributed Systems and the Cloud [5 ECTs]

The module will provide students with a good understanding of how to design and implement internet based distributed applications. The emphasis will be on explaining and evaluating the standard APIs and frameworks that are commonly used. The module will cover the essential Java language features and APIs that are needed to create network based applications; I/O streams and multithreaded programming support in Java; and the various APIs and frameworks that are used to implement distributed applications.

Prerequisite: CT619 Object Oriented Programming

Elective: CT621 Artificial Intelligence [5 ECTs]

This module is an introduction to some of the fundamental concepts and techniques in Artificial Intelligence (AI). The module begins by examining the concept of AI and as well highlighting some important real-world applications of AI. It then presents search strategies currently employed in AI research. This is developed further by the examination of the functional programming language Prolog. The second half of the module looks at Knowledge Representation and Machine Learning. It also deals with the topic of uncertainty in AI. Finally, the module finishes by examining future directions of AI research and associated philosophical dilemmas.

Prerequisite: None


Year 2 DataBAse Modules:

Core: CT5154 Introduction to Information Retrieval [5 ECTs]

Information Retrieval (IR) deals with the identification of relevant information based on users’ needs. IR is used in web search engines, digital libraries, recommender systems, etc. 
This module is designed to explain and analyse techniques to deal with large amounts and types, of information. The module covers Document Processing in terms of Stemming and Indexing before discussing Evaluation Approaches, Collaborative Filtering, Web Search and Document Clustering. 
There is an emphasis on practice in order to help the learner understand IR processes, for example, the student will learn about the background processing required to return relevant results quickly during a web search.

Prerequisite: CT609 Fundamentals of Programming

Core: CT5155 Introduction to Relational Databases [5 ECTs]

This module introduces Databases, outlining the differences between Databases and File Systems and considering the importance of Abstraction.  Concepts, Integrity Constraints and Design Principles for the Relational Model are investigated. 
The module also covers Relational Algebra, Querying, Structure Query Language (SQL), Conceptual Modelling, Relational Schema and Normalisation.

Prerequisites: None

Core: CT5156 Fundamentals of Databases [10 ECTs]

This module begins with a review of Relational Design Principles before moving on to look at Efficiency in terms of Indexing and Query Optimisation.  Further Design Principles such as Armstrong's Axioms, Closure, Minimal Cover Sets, Synthesis and Normalisation are covered.  Transactions and a variety of Database Models are examined.

Prerequisites: None

Core: CT5157 Data Mining [5 ECTs]

This module introduces Data Mining before getting into the detail of the subject area with the following topics:
  • Data Preprocessing
  • Association Rules
  • Classification
  • Evaluation
  • Clustering
The programming language, Python, is used throughout the module - both in content and in assignments.

Prerequisite: CT609 Fundamentals of Programming



In second year, you will complete a thesis under an approved thesis advisor in the NUI Galway IT Department.

To support work on the thesis, you must complete 2 modules CT6110 Thesis Fundamentals [5 ECTS] and CT626 Thesis [30 ECTS]



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