Integrated Computer Science
Year 1 (Junior Freshman)
Full Year Modules
(Semester 1 & 2, 10 ECTS) This module provides an introductory course in computer programming.
(Semester 1 & 2, 10 ECTS) Starting with the theoretical foundations of logic, the students learn about combinatorial logic and synchronous logic, and how it can be used to construct logic functions that are useful in computing systems.
Semester One Modules
(Semester 1, 5 ECTS) The module aims to provide students with an introduction to the mathematics, both continuous and discrete, which lies at the foundation of many real-world applications in Computer Science, Engineering and the Social Sciences.
(Semester 1, 5 ECTS) An introduction to the basic structure and operation of a computer system, focussing on the processor (CPU), memory and the execution of programs.
(Semester 1, 5 ECTS) The first aim of the first part of this module is to give students a grounding in
(Semester 1, 5 ECTS) IT and its “impact” on society; models for assessing technological “impact”; history of IT; ethics; writing, presenting and argumentation; other topics.
Semester Two Modules
(Semester 2, 5 ECTS) This module concentrates on the development of practical programming ability through example-based lecturing coupled with intensive laboratory sessions. The emphasis throughout is on producing working programs, starting with interactive graphical applications and moving on to construction of a larger group project involving a data visualisation task.
(Semester 2, 5 ECTS) This module continues directly from CSU11021 and examines the structure and behavior of computer systems in greater depth. In particular, this module introduces students to the implementation of simple data structures (stacks, multi dimensional arrays, composite data types), subroutines (including parameter passing conventions), exceptions, interrupts and basic I/O at the machine level.
(Semester 2, 5 ECTS) Mathematics is of interest to computer scientists due to the fact that it is both
practical and theoretical in nature.
(Semester 2, 5 credits) An introduction to basic statistical concepts. Students will learn how to explain basic statistical theory, apply the techniques to data and describe and interpret the results of their analyses in a detailed fashion. There will be considerable emphasis on the use of R studio to analyse data.