This is an archived handbook for a previous year. The current undergraduate and postgraduate handbooks can be viewed using the links above.

Undergraduate Handbook 2006-2007 (archived)

Module COMP2071: SOFTWARE APPLICATIONS

Department: Computer Science

COMP2071: SOFTWARE APPLICATIONS

Type	Level	Credits	Availability	Module Cap	Location
Open	2	20	Available in 2006/2007	None.	Durham

Pre-requisites

Formal Aspects of Computer Science (COMP1021) AND EITHER Programming and Data Structures (COMP1082) OR Introduction to Programming (COMP1011) .

Corequisites

None.

Excluded Combinations

None.

Aims

To further student's programming skills using advanced objected-oriented principles and for students to be able to apply these principles to a wide variety of software applications and methods.

Content

Advanced programming concepts and techniques including Java and C++.
Introduction to digital imaging, theories for lighting and shading, image synthesis, modelling and rendering, animation.
Introduction to artificial intelligence - searching techniques, genetic algorithms and constraint satisfaction.

Learning Outcomes

Subject-specific Knowledge

To have a fundamental understanding of software application areas including artificial intelligence and image synthesis.

Subject-specific Skills

Students will have demonstrated programming skills through the manipulation of data formats and class structures.

Key Skills

Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module

Learning demonstrates what is required to be learned and the application of the theory to practical examples.
Problem classes through practicals provide assessment (both formative and summative) to guide students in the correct development of their knowledge and skills.
Tutorials provide active engagement and feedback to the learning process.
The end of year examinations assess the knowledge acquired and the ability to use this knowledge to solve problems.

Teaching Methods and Learning Hours

Activity	Number	Frequency	Duration	Total Hours
Lectures	38	2 per week	1 Hour	38
Tutorials	2		1 hour	2
Practicals	19	1 per week	2 hours	38
Preparation and Reading				122
Total				200

Summative Assessment

Component	Component Weighting	Element	Length/Duration	Element Weighting	Resit Opportunity
Coursework	34%	coursework		100%
Examination	66%	two-hour examination		100%

Formative Assessment

Example exercises given through the course.

Students who do not attend monitored activities shown under Teaching Methods and Learning Hours, or who fail to complete the summative or formative assessment(s) specified above, may be subject to the Academic Progress procedures defined in the University's General Regulation V, and may be required to leave the University.