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What will I learn on this module?
In this module, you will learn about the entire data life cycle (from creation to disposal) and will gain a deep understanding of classical database development processes and approaches to modelling, design and management of databases. You will be able to learn and employ data warehousing techniques to integrate and consolidate data from different sources, which can then be used for business reporting, exploratory data analysis and advanced data analytics. In addition, you will realise the responsibilities of database designers with respect to professional, legal, security and ethical issues as well as undertaking risk management and evaluation of commercial risk in relation to data management. Moreover, you get an appreciation of non-traditional data types, systems and applications (e.g., NoSQL Databases), data standards and data quality. The module will covers topics such as:
• An overview of the entire data life cycle (e.g., creation, modelling, representation, usage, maintenance, disposal, etc)
• Classical data engineering processes and approaches (modelling, design, implementation and management and access of databases)
• Data warehousing
• Non-traditional data management technologies (e.g., NoSQL databases)
• Data analytics
• Data standards and data quality
How will I learn on this module?
You will attend weekly lectures and lab-based seminars to learn a range of topics. The lectures will provide key concepts and ideas, which are then followed by hands-on lab sessions whereby you will develop advanced skills in database and data warehouse management using Oracle database system and a range of other useful tools and methods.
How will I be supported academically on this module?
You will be given advice and feedback on your formative assessment (e.g., lab exercises) during the timetabled classes. In addition, the eLP module instance will be used to provide extensive supporting material. Constructive and written feedback on first summative assessment will provide you focused guidance on how to improve your work in the following summative assessment. Specific sessions will provide you with further directed guidance on successful completion of your summative assessments.
What will I be expected to read on this module?
All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)
What will I be expected to achieve?
Knowledge & Understanding:
1. Demonstrate critical understanding of the entire data life cycle and classical database engineering processes and approaches, and non-traditional database systems
2. Demonstrate deep knowledge of key concepts of data warehousing, data analytics, data standards, and data quality
Intellectual / Professional skills & abilities:
3. Critically analyse, select, apply and evaluate advanced data modelling, database design, implementation and manipulation methods, techniques and tools to a complex data management problem
4. Appraise, analyse, design, develop and evaluate data warehousing and data analytics solutions using Oracle database system
Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
5. Develop critical awareness of the responsibilities of database developer with respect to professional, legal, security and ethical issues as well as undertaking risk management and evaluation of commercial risk in relation to data management, individually or as part of a team.
How will I be assessed?
Formative assessment: lab exercises carried out within seminars will build up to form a basis of the two summative assessments. Feedback will be given during lab sessions.
Summative assessments: two written assignments.
• The 1st coursework assessment (2400 to 3000 words) will be an individual work and will comprise analysis, design and implementation of a solution to a database management problem using classical and non-traditional methods, techniques and tools and undertaking risk management and evaluation of commercial risk of your solution (60%) and will test MLOs 1, 3 and 5.
• The 2nd coursework assessment (1600 to 2000 words) will be a team-work and comprise design and implementation of a solution to a data warehousing and data analytics problem (40%), which will test MLOs 2, 4 and 5.
Feedback: You will be given detailed feedback on the 1st group assignment clearly identifying both the weaknesses and strong points of the work. As this will be set approximately half-way through the module it will enable the students to identify those areas where they need to focus their efforts on in their 2nd assignment.
Pre-requisite(s)
An undergraduate degree with major in computing and information sciences or mathematical and statistical disciplines with applied computing components
Co-requisite(s)
None
Module abstract
The aim of this module to provide you a deep understanding and appreciation of the entire data life cycle (from creation to disposal), classical database engineering processes and approaches to modelling, design and management of databases. You will be able to examine advanced approaches to data integration and data warehousing including design, maintenance and data analytics. Moreover, you will be able to get an appreciation of non-traditional data types, systems and applications (e.g., NoSQL Databases) and data standards and data quality.
This module includes a combination of methods to support learning, including lectures and lab based seminars/workshops allowing you to put the theory from lectures into practice. Topics will normally be introduced in lectures and explored further through real world examples and practical exercises (helping you develop the knowledge and understanding needed) and guided independent learning activities. You will be encouraged to develop independent learning skills to explore further in the field of data science and take benefit from Northumbria University’s Enterprise Data Analytic Clinic through the Institute of Coding (IoC) within the CIS department.
Course info
Credits 20
Level of Study Postgraduate
Mode of Study 16 months full-time
3 other options available
Department Computer and Information Sciences
Location City Campus, Northumbria University
City Newcastle
Start September 2022 or January 2023
Our Campus based courses starting in 2022 and 2023 will be delivered on-campus with supporting online learning content. We continue to monitor government and local authority guidance in relation to Covid-19 and we are ready and able to adjust the delivery of our education accordingly to ensure the health and safety of our students and staff.
On-campus contact time is subject to increase or decrease in line with any additional restrictions, which may be imposed by the Government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors. This could potentially mean increased or fully online delivery, should such restrictions on in-person contact time be required.
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We continuously review and improve course content in consultation with our students and employers. To make sure we can inform you of any changes to your course register for updates on the course page.
Your Learning Experience find out about our distinctive approach at
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