Undergraduate Handbook - School of Computing and Informatics ...

equest for proposal, evaluation, selection, contracting and maintenance; Security in computing: continuity of
processes, controls and planning for standby; Computer audit; Project management: approaches, tools, site planning
and installation.
Reference Books:
i. G. Curtis, Business Information Systems: Analysis, Design and Practice, 1995.
ii. P. Bocij, D. Chaffey, A. Greasley, S. Hickie, Business Information Systems: Technology, Development and
Management for the E-Business, 2005.
BIT 1204 Information Management (4 CU)
Course Description: This course is important to the management, productivity and differentiation of an
organization. Information is derived from data. This means that data must be efficiently collected, organized,
retrieved and managed to make it meaningful to the organization. Thus, the development, deployment, management
and integration of data and information systems to support the organization are a vital role of the IT professional.
Consequently, the knowledge area of Information Management should include the collection, organization,
modelling, transformation, presentation, safety and security of the data and information. This course is aimed at
giving students the skills needed to efficiently collect, organize, model, transform, present, and secure data and
information. Students will learn how to integrate information with Information Systems to make it meaningful to the
Organization.
Indicative Content:
• Concepts and fundamentals of Information management. Information system: purpose, use and value;
Properties of data (quality, accuracy, timelines); Database systems; Analysis of data, forms & sources;
Data collection and retention; Information backup and recovery;
• Database Query Languages; SQL data manipulation, data definition and performance tuning/optimization
XQuery and Xpath; Reports; Query by example and by optimization.
• Data Organization Architecture: Data models, Hierarchical, network and relational models; Object and
Object-relational databases; Logical, XML/XMI databases; Semantic and dimensional models; Star
schema; Normalization and Data Integrity.
• Data modelling: Conceptual, logical and physical models; Reengineering of Databases; Standardized
modeling in IDEF1, UML; CASE tools and data integration; Data Integration (data warehouses and data
marts).
• Managing the Database Environment: Data and Database administration; Distributed databases and patterns
of distribution; Client server databases; N-tier architectures.
• Special-purpose databases (text, multimedia Temporal, spatial, mobile, scientific/genomic); Decision
support; Knowledge management and information retrieval (digital libraries)
Reference Books:
i. C. T., Begg C. Database Systems: A Practical Approach to Design, Implementation and Management.
USA: Pearson Education Limited, 2002.
ii. E. Turban., E. McLean and J. Wetherbe, Information Technology for Management: Making Connections
for Strategic Advantage, John Wiley & Sons, Inc. 1998.
CSC 1204 Research Methodology (3 CU)
Course Description: The purpose of this course is to acquaint students with types of scientific research relevant for
anyone working in the field of computer science. It will enable students to develop capacity to conduct small, simple
research projects while at the university. The aims of the course are to provide the student with: Enable students
become competent in understanding the research process. Provide skills that will enable students undertake
independent research using a variety of appropriate methods, using primary and secondary data, as well as
71