|Module Name||Information Management I|
|ECTS Weighting ||5 ECTS|
|Semester Taught||Semester 1|
|Module Coordinator/s||Prof. Gaye Stephens|
Module Learning Outcomes
On successful completion of this module, students will be able to:
- Describe and use UML for information modeling;
- Describe and use XML techniques for data modeling and querying;
- Describe techniques for exposing and retrieving information on the web semantic web/linked data approaches;
- Understand the ongoing collaborative process of eliciting ethical implications which influence technology design.
This module focuses on the methods and techniques for efficient management (modelling, manipulation and retrieval) of data and information. It provides a foundation for later modules in database management and advanced information management.
Teaching and Learning Methods
Lectures, laboratories, tutorials. The laboratory and tutorials will involve group work. The students will present their work as part of their continuous assessment.
|Assessment Component||Brief Description||Learning Outcomes Addressed||% of Total||Week Set||Week Due|
|Take Home Exam||A 3 hour exam to be taken over a 6 hour interval. Students will be invited to answer 2 of 3 questions provided.||LO1, LO2, LO3||80%||N/A||N/A|
|Substantial group project spanning the module. The project comprises of four parts: two reports, one group presentation and one group demonstration.||LO1, LO2||20%||Week 2||Various|
In the supplemental examinations, assessment is by written online examination (3 hours) only, which contributes 100% of the overall mark.
Contact Hours and Indicative Student Workload
|Contact Hours (scheduled hours per student over full module), broken down by:||33 hours|
|Independent Study (outside scheduled contact hours), broken down by:||72 hours|
|Preparation for classes and review of material (including preparation for examination, if applicable)||28 hours|
|Completion of assessments (including examination, if applicable)||44 hours|
|Total Hours||105 hours|
Recommended Reading List
None required. Links to relevant online resources will be provided by the lecturer as the students progress through the module and their assignments.
Prerequisite modules: Programming Language such as Java or C.
Other/alternative non-module prerequisites: N/A
Link to Blackboard Sessions 13/09/2021