COMP3207 Cloud Application Development
Module Overview
During the first two years of the degree students gain experience in a variety of 'traditional' programming languages in procedural, functional and object-oriented flavours. This module addresses the design and use of scripting languages for a contemporary cloud-based computing application.
Aims and Objectives
Module Aims
- Explore the role of scripting languages in cloud applications - Introduce Python and Javascript and their applications - Provide experience in cloud computing - Provide an appreciation of new concepts in a rapidly developing field
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- The role of scripting languages
- The syntax and semantics of languages such as Python and JavaScript
- Cloud computing and its advantages and disadvantages
Subject Specific Practical Skills
Having successfully completed this module you will be able to:
- Design and implement a cloud-based application
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Compare and contrast the features and capabilities of scripting languages used for cloud computing applications
- Compare and contrast scripting languages with other programming languages
- Select an appropriate scripting language for the development of a given cloud-based application
- Read programs in a range of scripting languages
Syllabus
Cloud computing - Introduction and examples - Advantages and disadvantages - Taxonomy of cloud computing: PaaS, SaaS, IaaS Python - Overview, introduction and examples - Advantages and disadvantages - Google App Engine JavaScript - Client-side web scripting: DOM and AJAX - Server-side applications: node.js
Learning and Teaching
| Type | Hours |
|---|---|
| Lecture | 36 |
| Supervised time in studio/workshop | 51 |
| Follow-up work | 18 |
| Preparation for scheduled sessions | 18 |
| Wider reading or practice | 27 |
| Total study time | 150 |
Resources & Reading list
Cantelon, M. (2014). Node.js in Action.
Lutz, M. (2011). Programming Python.
Stefanov, S. (2010). Javascript Patterns.
Crockford, D. (2008). Javascript: The good parts.
Flanagan, D. (2010). Javascript: The Definitive Guide.
Assessment
Summative
| Method | Percentage contribution |
|---|---|
| Group Assignment | 60% |
| Individual assignment | 40% |
Referral
| Method | Percentage contribution |
|---|---|
| Coursework assignment(s) | 100% |
Repeat Information
Repeat type: Internal