Introduction to Programming (G5066)
Introduction to Programming
Module G5066
Module details for 2025/26.
15 credits
FHEQ Level 4
Library
Barnes, D. and M. Kölling (2011) Objects First with Java: A Practical Introduction Using BlueJ, Pearson.
Vickers, P. (2009) How to Think like a Courser: Program Design Solutions for the Bewildered, Cengage Learning
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Module Outline
This module provides an introduction to programming concepts and techniques, as well as elementary software development principles. Both for absolute beginners and for those with prior programming experience, the module introduces the fundamentals of object-oriented programming, including: classes and objects, variables and assignment, primitive and object types, methods, control structures, collections, iteration and recursion. The module also provides an introduction to basic software development issues such as class design, testing, debugging and documentation.
Module learning outcomes
Demonstrate knowledge of fundamental imperative programming concepts such as variables and assignment, conditional statements, loops and methods.
Code an application in a suitable object-oriented programming language, from a detailed software specification.
Evidence knowledge of basic concepts and principles of object-orientation such as objects and classes, encapsulation, object state, coupling, cohesion and modularity.
Show awareness of basic principles of software design and development including appropriate naming of variables and classes, code lay out, testing and debugging, and documentation.
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 25.00% | |
| Coursework components. Weighted as shown below. | ||
| Project | T1 Week 11 | 100.00% |
| Multiple Choice questions | Semester 1 Assessment | 75.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Autumn Semester | Laboratory | 1 hour | 11111111111 |
| Autumn Semester | Lecture | 1 hour | 22222222222 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Chris Thornton
Assess convenor
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