Advanced Databases: Data Life Cycle, Database Systems, and Assessment Regulations

This assignment covers the following learning outcomes for the module: Knowledge & Understanding:

1. Demonstrate critical understanding of the entire data life cycle and classical database engineering processes and approaches, and non-traditional database systems Intellectual / Professional skills & abilities:

2. Critically analyse, select, apply and evaluate advanced data modelling, database design, implementation and manipulation methods, techniques and tools to a complex  data management problem Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):

3. Develop critical awareness of the responsibilities of database developer with respect to professional, legal, security and ethical issues individually or as part of a team Assessment Regulations

Late submission of work

Where coursework is submitted late without approval, after the published hand-in deadline, the following penalties will apply.

For coursework submitted up to 1 working day (24 hours) after the published hand-in deadline without approval, 10% of the total marks available for the assessment shall be deducted from the assessment mark.

Coursework submitted more than 1 working day (24 hours) after the published handin deadline without approval will be regarded as not having been completed. A mark of zero will be awarded for the assessment and the module will be failed, irrespective of the overall module mark.

These provisions apply to all assessments, including those assessed on a Pass/Fail basis.

Students must retain an electronic copy of this assignment (including ALL appendices) and it must be made available within 24hours of them requesting it be re-submitted.

Academic Misconduct

The Assessment Regulations for Taught Awards (ARTA) contain the Regulations and procedures applying to cheating, plagiarism and other forms of academic misconduct.

The full policy is available at here

You are reminded that plagiarism, collusion and other forms of academic misconduct as referred to in the Academic Misconduct procedure of the assessment regulations, which are taken very seriously. Assignments in which evidence of plagiarism or other forms of academic misconduct is found may receive a mark of zero.

For textual components :

The description will excellently cover all the specific topics requested. The written work will be fluent, clearly presented and of out-standing quality.

The description will comprehensively cover all the specific topics requested. The written work will be fluent and clearly presented and of distinctive quality.

The student will show a very good knowledge of the specific topics, with very good presentation skills and quality.

The student will show an above average knowledge of the specific topics, with above average presentation skills and quality.

There will be an inadequate description of a significant proportion of the topics requested. There will be no major failures in presentation clarity though partly inadequate.

There will be little or no information conveyed in an intelligible manner on the specific topics requested. For ERD, SQL and other database technical components:

The students will produce exceptional models (conceptual/logical/physical), and will demonstrate the use of notation/language, which have outstanding syntactic accuracy.

Advanced Databases exceptional semantic relevance (e.g., are relevant to the requirements of the particular scenario).

The students will produce fully complete models (conceptual/ logical/ physical), and will demonstrate the use of notation/language, which have high syntactic accuracy, with high semantic relevance.

The students will produce almost complete models (conceptual/ logical/ physical), and will demonstrate the use of notation/language, which have appropriate syntactic accuracy with reasonably well semantic relevance.

The students will produce fairly complete models (conceptual/ logical/ physical), and will demonstrate the use of notation/language, which have adequate syntactic accuracy with reasonable semantic relevance.

The students will produce models, and will demonstrate the use of notation/language, which have some syntactic accuracy and semantic relevance but on balance inadequate as a whole.

The students will not produce sufficient models, and/or will be unable to demonstrate the use of notation/language with significant syntactic accuracy and/or significant semantic relevance.