Module Code: H7AVB
Long Title Advanced Databases
Title Advanced Databases
Module Level: LEVEL 7
EQF Level: 6
EHEA Level: First Cycle
Credits: 5
Module Coordinator: MICHAEL BRADFORD
Module Author: MICHAEL BRADFORD
Departments: School of Computing
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Examine the theory, concepts, technical issues and application of database systems
LO2 Describe the IR paradigm and apply classic information retrieval models
LO3 Illustrate Transaction Management in a DBMS
LO4 Examine the Data Warehouse concept and its main features
LO5 Identify current trends and developments in databases and utilise current database technologies
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).

No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements  
 

Module Content & Assessment

Indicative Content
Transaction Management
• Transaction Support. • Concurrency Control. • Database Recovery. • Transaction Management using SQL • Programming language support for transaction management
Query Optimisation
• RDBMS File Management. • Tuning at the Internal Level e.g. Query Optimisation using SQL, Query Processing, Query tree, query plans, measures of query cost etc.
Distributed Databases
• Introduction to Distributed Data • DDBMS Characteristics. • Distributed Processing Vs. Parallel Processing Functions. • Architecture of a DDBMS Transparencies in a DDBMS Distributed Relational Database • Design Types of DDBMS
Database Security
• Introduction to Database Security. • Threats and Countermeasures Security in DBMSs. • DBMSs and Web Security
Data Warehousing
• Introduction to Data Warehousing. • Data Warehousing Concepts. • Types of Data Warehouse. • Designing a Data Warehouse. • Database Online. • Analytical Processing. • Data-mining Challenges of Data Warehousing
Non-relational Databases
• Types of non-relational databases. • Storing and retrieving information. • Algorithmic based queries. • Distributed data storage. • Cloud-based data storage
Information Retrieval
• Retrieval versus Filtering. • A Taxonomy of Information Retrieval Models. • A Formal Characterisation of Information Retrieval Models. • Boolean Model. • Vector Model. • Probabilistic model. • Information Retrieval Systems
Teaching methodology
The learning strategy involves the use of lectures, tutorials, practicals case studies and class discussions as appropriate.
Assessment Breakdown%
Coursework50.00%
End of Module Assessment50.00%

Assessments

Full Time

Coursework
Assessment Type: Continuous Assessment (0200) % of total: 50
Assessment Date: n/a Outcome addressed: 2,3,5
Non-Marked: No
Assessment Description:
Sample CA – Research Report. you are expected to carry out research on a number of Databases. You should pick AT LEAST TWO databases and compare these in your report. This assignment should compare and contrast the Transaction Management techniques of concurrency and recovery of two Databases of your choice. The analysis should be approached from a business and Technical perspective. The report should be a MAXIMUM of 3000 words - approx 6 PAGES
End of Module Assessment
Assessment Type: Terminal Exam % of total: 50
Assessment Date: End-of-Semester Outcome addressed: 1,2,3,4,5
Non-Marked: No
Assessment Description:
End-of-Semester Final Examination
No Workplace Assessment
Reassessment Requirement
Repeat examination
Reassessment of this module will consist of a repeat examination. It is possible that there will also be a requirement to be reassessed in a coursework element.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 2 Every Week 2.00
Tutorial No Description 1 Every Week 1.00
Independent Learning No Description 7.5 Every Week 7.50
Total Weekly Contact Hours 3.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 2 Every Week 2.00
Tutorial No Description 1 Every Week 1.00
Independent Learning No Description 7.5 Every Week 7.50
Total Weekly Contact Hours 3.00
 

Module Resources

Recommended Book Resources
  • Thomas Connolly, Carolyn Begg. (2014), Database Systems: A Practical Approach to Design, Implementation, and Management, 6th. Pearson Education, [ISBN: 1292061189].
Supplementary Book Resources
  • Manning C., Raghaven, P., & Schutze, H. (2008), Introduction to Information Retrieval,, , Cambridge University Press.
  • C. J. Date. (2004), An introduction to database systems, Pearson/Addison Wesley, New York, [ISBN: 0321197844].
  • Eric Redmond, Jim Wilson. Seven Databases in Seven Weeks, Pragmatic Bookshelf, p.330, [ISBN: 1934356921].
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: