Module Code: |
H7AVB |
Long Title
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Advanced Databases
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Title
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Advanced Databases
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Module Level: |
LEVEL 7 |
EQF Level: |
6 |
EHEA Level: |
First Cycle |
Module Coordinator: |
MICHAEL BRADFORD |
Module Author: |
MICHAEL BRADFORD |
Departments: |
School of Computing
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Specifications of the qualifications and experience required of staff |
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Learning Outcomes |
On successful completion of this module the learner will be able to: |
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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).
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No recommendations listed |
Co-requisite Modules
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No Co-requisite modules listed |
Module Content & Assessment
Indicative Content |
Transaction Management
• Transaction Support.
• Concurrency Control.
• Database Recovery.
• Transaction Management using SQL
• Programming language support for transaction management
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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.
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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
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Database Security
• Introduction to Database Security.
• Threats and Countermeasures Security in DBMSs.
• DBMSs and Web Security
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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
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Non-relational Databases
• Types of non-relational databases.
• Storing and retrieving information.
• Algorithmic based queries.
• Distributed data storage.
• Cloud-based data storage
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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
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Teaching methodology
The learning strategy involves the use of lectures, tutorials, practicals case studies and class discussions as appropriate.
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Assessment Breakdown | % |
Coursework | 50.00% |
End of Module Assessment | 50.00% |
AssessmentsFull 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 |
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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 |
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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.
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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 |
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Thomas Connolly, Carolyn Begg. (2014), Database Systems: A Practical Approach to Design, Implementation, and Management, 6th. Pearson Education, [ISBN: 1292061189].
| Supplementary Book Resources |
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Manning C., Raghaven, P., & Schutze, H. (2008), Introduction to Information Retrieval,, , Cambridge University Press.
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C. J. Date. (2004), An introduction to database systems, Pearson/Addison Wesley, New York, [ISBN: 0321197844].
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Eric Redmond, Jim Wilson. Seven Databases in Seven Weeks, Pragmatic Bookshelf, p.330, [ISBN: 1934356921].
| This module does not have any article/paper resources |
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This module does not have any other resources |
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