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MODULE SPECIFICATION FORM Module Title: Advanced Databases Module code: COM617 Existing/New: Semester(s) in which to be offered: New Originating Subject: Module duration (contact hours/ directed/directed private study: Level: 1&2 6 Credit Value: With effect from: 20 September 2011 Title of module being replaced (if any): Computing (60/60/ 80) Module Leader: Status: core/option/elective (identify programme where appropriate): Percentage taught by Subjects other than originating Subject (please name other Subjects): Programme(s) in which to be offered: BSc (Hons) Applied Computing BSc (Hons) Computer Network Management and Security BSc (Hons) Mobile Computing BSc (Hons) Creative Media Computing Bindu Jose Option 0% Pre-requisites per programme (between levels): Co-requisites per programme (within a level): None Module Aims: This module aims to extend the students' knowledge of database system technology by introducing them to a number of advanced topics and techniques. Topics covered include Client/server application development, data warehousing, data mining, online analytical processing, object-orientated databases and other advanced database topics. Academic Office: Expected Learning Outcomes At the end of this module, students should be able to: Knowledge and Understanding: 1. Critically assess some of the more advanced developments in database technology e.g. Object-Oriented databases, Distributed databases. SQL standards. ObjectRelational databases, Multidimensional Database, Multimedia Databases, Mobile Databases 2. Evaluate the current issues associated with theory to practical implementations in database research. 3. Study advanced aspects of data warehousing and data mining, encompassing the principles, research results and commercial application of the technologies. 4. Critically evaluate the adoption/use of data warehouse systems and business intelligence practices for achieving organisational benefits. Transferable/Key Skills and other attributes: a. b. c. d. Express ideas in writing and orally. Solve problems using appropriate tools/methods. Evaluate alternatives. Use computing software effectively Assessment: please indicate the type(s) of assessment (eg examination, oral, coursework, and project) and the weighting of each (%). Details of indicative assessment tasks must be included. Assessment of this unit will be through a combination of two in-course assignments. The students will be expected to develop skills in completing the assignments as each will be an integral part of the learning process. Assessment Learning Outcomes to be met Type of assessment Weighting Duration (if exam) Word count or equivalent if appropriate Assessment One : Assessment Two : 1,2 & 3 Coursework 50% 2500 Coursework 50% 2500 1,2,& 4 Learning and Teaching Strategies: The module will be taught using a mixture of lectures, laboratory workshops, tutorial sessions, and self-study exercises. The lectures will normally introduce the various concepts and principles of the module’s topics. Each lecture will normally be followed either by a laboratory workshop or a tutorial session. Students will also disseminate and discuss information through student-led seminars and peer group discussion. It is our belief that students learn more effectively when they are actively involved in learning Academic Office: activities that reinforce the theories that are being discussed in class. For the self-study exercises and assessment, students are expected to spend time on unsupervised work in the computer laboratories and in private study. Syllabus outline: Advanced Data Models: object-oriented, object-relational, object-orientated, extensible databases Object-oriented DBMS': functionality; languages, products. Applications: Use of Databases: Multidimensional database, Data Mining, Data Warehousing, Multimedia Database, Mobile Database Emerging Technologies and Trends in database management systems: A review of current technologies, the issues raised by them, and outstanding problems of current and future database management technologies Bibliography (please submit in Harvard referencing format) Indicative Reading: Connolly, T.M. and Begg, C.E. (2010), Database Systems - A Practical Approach to Design Implementation and Management 5th Edition, Pearson Education; Elmasri, R., Navathe S.B. (2011), Fundamentals of Database Systems, 6th Edition, Pearson Education Ritchie C. (2008), Database Principles and Design 3rd Edition. Course Technology; Kimball, R., Ross, M., Thornthwaite, W., Mundy, J., Becker, B., (2008), The Data Warehouse Lifecycle Toolkit, 2nd Edition, Wiley Giudici, P., Figini, S. (2009), Applied Data Mining for Business and Industry, 2nd Edition, Wiley Journals ACM Digital Library (available electronically through the library) Academic Office: