Module Database Search
MODULE DESCRIPTOR | |||
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Module Title | |||
Data Project Management | |||
Reference | CBM205 | Version | 2 |
Created | January 2020 | SCQF Level | SCQF 11 |
Approved | July 2018 | SCQF Points | 30 |
Amended | June 2020 | ECTS Points | 15 |
Aims of Module | |||
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This module prepares students to scope, develop, and implement data management strategies for data collection, processing, storage, preservation and availability for further processing. |
Learning Outcomes for Module | |
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On completion of this module, students are expected to be able to: | |
1 | Identify roles, develop teams and implement communication strategies in database projects |
2 | Plan a data management project, analysing and determining resource, priorities and deliverables |
3 | Demonstrate an advanced understanding of different data types and structures |
4 | Design relational and non-relational databases |
5 | Evaluate the most appropriate database platform for a given data management task |
6 | Design, implement and query a database |
Indicative Module Content |
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Roles and responsibilities in data management and sharing. Team management. Project Planning. Assessing risks to project deliverables. Agile methodologies. Structured and unstructured data. Introduction to database programming. Conceptual modelling: an introduction to simple entity-relationship modelling. The relational database model: tables, relationships, keys, joins and normalisation; creating tables using SQL. Database queries: an introduction to SQL queries, including the use of sub-queries. DBMS principles and structure. Relational, graph, and NoSQL databases and use cases. Deciding and applying selection criteria. Practical exercises in database development. |
Module Delivery |
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The module is delivered via online exercises, workshops, industry speakers, case studies and lab tutorials. |
Indicative Student Workload | Full Time | Part Time |
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Contact Hours | 72 | 72 |
Non-Contact Hours | 228 | 228 |
Placement/Work-Based Learning Experience [Notional] Hours | N/A | N/A |
TOTAL | 300 | 300 |
Actual Placement hours for professional, statutory or regulatory body |   |   |
ASSESSMENT PLAN | |||||
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If a major/minor model is used and box is ticked, % weightings below are indicative only. | |||||
Component 1 | |||||
Type: | Coursework | Weighting: | 100% | Outcomes Assessed: | 1, 2, 3, 4, 5, 6 |
Description: | Design and implementation of a database project solution for an industry-relevant problem scenario to proof-of-concept stage. |
MODULE PERFORMANCE DESCRIPTOR | |
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Explanatory Text | |
The calculation of the overall grade for this module is based on 100% weighting of C1. An overall minimum grade D is required to pass the module. | |
Module Grade | Minimum Requirements to achieve Module Grade: |
A | The student needs to achieve an A in C1. |
B | The student needs to achieve a B in C1. |
C | The student needs to achieve a C in C1. |
D | The student needs to achieve a D in C1. |
E | The student needs to achieve an E in C1. |
F | The student needs to achieve an F in C1. |
NS | Non-submission of work by published deadline or non-attendance for examination |
Module Requirements | |
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Prerequisites for Module | None. |
Corequisites for module | None. |
Precluded Modules | None. |
INDICATIVE BIBLIOGRAPHY | |
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1 | HARRINGTON, J. L. (2016) Relational database design and implementation. Fourth edition. Amsterdam; Boston: Morgan Kaufmann/Elsevier |
2 | KEMPER, C. (2015). Beginning Neo4j. New York: Springer |
3 | LAKE, P. and CROWTHER, P. (2013). Concise Guide to Databases. London: Springer |
4 | PLUGGE, E., MEMBREY, P. and HAWKINS, T. (2010). The definitive guide to MongoDB. New York: Apress |
5 | ROCHKIND, M. (2013). Expert PHP and MySQL. New York: Springer |