Module Descriptors
STRUCTURED SYSTEM ANALYSIS AND DESIGN TECHNIQUES (D/L)
COIS40691
Key Facts
Faculty of Computing, Engineering and Sciences
Level 4
15 credits
Contact
Leader: Jonathan Westlake
Email: J.C.Westlake@staffs.ac.uk
Hours of Study
Scheduled Learning and Teaching Activities: 3
Independent Study Hours: 147
Total Learning Hours: 150
Assessment
- COURSEWORK weighted at 100%
Module Details
Module Texts
Essential Texts: Mastering Systems Analysis and Design, Hughes M., Macmillan Press, Basingstoke, (2000), ISBN 0-333-69343-4
Module Indicative Content
The student will be introduced to the system development life cycle and all its stages (including an introduction to SSADM)
ANALYSIS - Structured systems analysis techniques, for example: Investigation method, Dataflow analysis, Entity Relationship analysis and Entity and Event modelling. An appropriate CASE tool is utilised to aid analysis throughdiagram production. The analysis stage will be complete through the production of a Feasibility Report for a work based case study. If a work based case study is not possible a suitabl;e case study will be provided by the module tutor.
DESIGN - The student is introduced to elementary design methods and techniques, for example: An introduction to relational data analysis. There is an introduction to relational data anlaysis that will enable the student to produce efficient and stable data models through, for example: Normalisation, Physical Data Structure (PDS). Process description will be addressed through narrative and graphical definition.
ANALYSIS - Structured systems analysis techniques, for example: Investigation method, Dataflow analysis, Entity Relationship analysis and Entity and Event modelling. An appropriate CASE tool is utilised to aid analysis throughdiagram production. The analysis stage will be complete through the production of a Feasibility Report for a work based case study. If a work based case study is not possible a suitabl;e case study will be provided by the module tutor.
DESIGN - The student is introduced to elementary design methods and techniques, for example: An introduction to relational data analysis. There is an introduction to relational data anlaysis that will enable the student to produce efficient and stable data models through, for example: Normalisation, Physical Data Structure (PDS). Process description will be addressed through narrative and graphical definition.
Module Additional Assessment Details
100% COURSEWORK
An ASSIGMT length 1000 words weighted at 70%. A PORTFOLIO weighted at 30%
Class test portfolio 30% - Learning Outcomes 1,2,3 and 4. Three short Blackboard class tests of maximum duration 20 minutes will be spread throughout the module. Questions will be related to on-line lecture material and will be selected at random from a suitable question bank. Each test will be machine marked to ensure timely feedback.
Assignment 70%. Development od a system model normally relevant to the students place of work or occupation using a variety of techniques and design decisions. Learning Outocmes 1,2, and 3.
An ASSIGMT length 1000 words weighted at 70%. A PORTFOLIO weighted at 30%
Class test portfolio 30% - Learning Outcomes 1,2,3 and 4. Three short Blackboard class tests of maximum duration 20 minutes will be spread throughout the module. Questions will be related to on-line lecture material and will be selected at random from a suitable question bank. Each test will be machine marked to ensure timely feedback.
Assignment 70%. Development od a system model normally relevant to the students place of work or occupation using a variety of techniques and design decisions. Learning Outocmes 1,2, and 3.
Module Special Admissions Requirements
None
Module Learning Strategies
On-line material will provide students with a broad overview of the indicative content and demonstrations of good practice in a variety of topics. Learning support material will be provided. The practical nature of this module is covered by practical tutorials which the student can complete at home or their place of work. Formative and summative tests will be provided.
On-line, telephone and e-mail support will be provided as necessary. Students will be welcome to visit their tutors at the University by arrangement but this will not be required.
On-line, telephone and e-mail support will be provided as necessary. Students will be welcome to visit their tutors at the University by arrangement but this will not be required.
Module Resources
1. Course texts
2. A PC with suitable applcations installed, for example: a Relational database and word processor
3. An appropriate CASE tool
4. Blackboard access to on-line
5. Library and web based resources
2. A PC with suitable applcations installed, for example: a Relational database and word processor
3. An appropriate CASE tool
4. Blackboard access to on-line
5. Library and web based resources