Undergraduate Handbook - School of Computing and Informatics ...

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, and S. Hickie, Business Information Systems: Technology,
Development and Management for the E-Business, 2005.
BIS 1201: Distributed Information Systems (4 CU)
Course Description: Upon completion of this course, the student will: Understand the basic principles underlying
distributed information systems in general and client-server model (which is viewed as a specialization of distributed
information systems) in particular. Understand the characteristics of common architectures and technical issues for
distributed and client-server information systems. Have the knowledge and skills to design, plan, implement and
support distributed information systems, services and server components.
Indicative Content: This course will cover: a broad foundation in distributed and client-server information systems
from both a managerial and a systems development point of view; provide a base from which the student can
assimilate knowledge of future developments in distributed and client-server information systems. The emphasis
will be on developing skills and techniques in distributed business information systems.
Reference Books:
i. M. T. Ozsu and P. Valduriez, The Principles of Distributed Databases, Pearson Education; 2nd edition,
1999.
ii. G. Coulouris, J. Dollimore and T. Kindberg, Distributed Systems - Concepts and Design, 3rd edition,
Addison Wesley, 2000.
CSC 1200: Programming Methodology (4 CU)
Course Description: Upon successful completion of this course, the student should be able to: Gain an
understanding of basic programming principles & practice; Recognise simple programming idioms and their
‘semantics’; Select a suitable design methodology for a given problem;
Indicative Content: The course aims at giving a good basis of programming principles and practice. A high-level
programming language such as C will be used to impart a discipline of structured programming. Emphasis will be
put on well-structured and correctly designed Programmes. The course gives an introduction to the basic concepts of
algorithms, Programme structure, data structures and programming. Formal programming languages, syntactic
description; Introduction to digital computing techniques using a high level language; Algorithms development
using the top-down design approach; Use of programming constructs and data structures like arrays, stacks, queues
& heaps; Algorithms specification and verification.
Reference Books:
i. M. Hanssen and H. Richel, Introduction to Programming using SML, Addison-Wesley, 1999.
ii. L. C. Paulson, ML for the Working Programmer, 2nd edition, Cambridge University Press, 1996.
iii. C. Okasaki, Purely Functional Data Structures, Cambridge University Press, 1999.
CSC 1204: Research Methodology (4 CU)
Course Description: Upon successful completion of the course, the student should be able to: Identify interesting
problems of research and develop appropriate strategies to address the problems identified; Demonstrate ethical
consideration in conduction research; Show knowledge and understanding of Statistical and non-Statistical Research
Methods; Use statistical packages to analyze data and make scientifically sound conclusions based on the analysis;
Interpret, explain, and experiment through writing, oral presentation, various multi-media modes, and in a classroom
setting; and demonstrate reflective, reflexive, creative, interpretative, evaluative, critical, and analytical thinking
skills.
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