Undergraduate Programme and Module Handbook 2013-2014 (archived)
Module COMP2231: SOFTWARE METHODOLOGIES
Department: Computer Science
COMP2231:
SOFTWARE METHODOLOGIES
| Type |
Open |
Level |
2 |
Credits |
20 |
Availability |
Available in 2013/14 |
Module Cap |
None. |
Location |
Durham
|
Prerequisites
- Introduction to Programming OR Computational Thinking
Corequisites
Excluded Combination of Modules
Aims
- To further students' programming skills and understanding, and to enable them to apply their skills and principles learned to a variety of software applications and using various methods.
Content
- Artificial Intelligence search.
- Graphics.
- Digital communication.
- Image processing.
Learning Outcomes
- On completion of the module, students will be able to demonstrate:
- a fundamental understanding of some core software methodologies and the pros and cons of their application
- an understanding of the programming principles and applications used to solve typical computing problems in different software application areas.
- On completion of the module, students will be able to demonstrate:
- an ability to implement programs using core software methodologies
- an ability to use software tools related to different software application areas
- an ability to assess and appreciate the trade-off between practical problem soloution and intrinsic theoretical barriers to computational solution.
- On completion of the module, students will be able to demonstrate:
- an ability to undertake reasoning in different application areas
- an ability to communicate technical information
- an ability to use general IT tools.
Modes of Teaching, Learning and Assessment and how these contribute to
the learning outcomes of the module
- Lectures enable students to learn core material on the different subject areas.
- Practical classes enable students to apply the material learned in lectures and enhance their understanding.
- Formative and summative assignments encourage and guide independent study.
- Summative examinations test the knowledge acquired and the students' ability to use this knowledge to solve problems.
Teaching Methods and Learning Hours
| Activity |
Number |
Frequency |
Duration |
Total/Hours |
|
| lectures |
44 |
2 per week |
1 hour |
44 |
|
| practical classes |
22 |
1 per week |
2 hours |
44 |
■ |
| preparation and reading |
|
|
|
112 |
|
| Total |
|
|
|
200 |
|
Summative Assessment
| Component: Examination |
Component Weighting: 66% |
| Element |
Length / duration |
Element Weighting |
Resit Opportunity |
| Examination |
2 hours |
100% |
Yes |
| Component: Coursework |
Component Weighting: 34% |
| Element |
Length / duration |
Element Weighting |
Resit Opportunity |
| Practical work |
|
100% |
Yes |
Example formative exercises given during the course.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University
