Page 50 - Handbook Bachelor Degree of Science Academic Session 20202021

Faculty of Science Handbook, Academic Session 2020/2021

Main References: Medium of Instruction:
1. Lubert Stryer (1998). Biochemistry. 3rd ed. W.H. English
Freeman and Company.
2. Neil A. Cambell, Jane B. Reece and Lawrence G. Main References:
Mitchell (1999). Biology. 5th ed. Addisioin Wesley. 1. Andrey B. Rubin (2014) Fundamentals of Biophysics.
3. Solomon, E.P, Berg, L.R.,Martin, D.W. and Ville, C. Wiley-Scrivener Publishing.
(1996). Biology. 4th ed. Saunders College Publishing. 2. R. Glaser (2012) Biophysics: An Introduction. 2 ed.
nd
Springer.

SIV 2003 COMPUTER OPERATING SYSTEM 3. R. Phillips, J. Kondev, J. Theriot and H. Garcia (2012).
nd
Physical Biology of the Cell. 2 ed. Garland Science.
The syllabus of this course concepts, structure and
mechanisms of Operating Systems, design principals of
modern operating systems reinforced with real world SIV 2006 ALGORITHMS IN BIOINFORMATICS
examples.
This course introduces some basic bioinformatics
Assessment Methods: algorithms in solving the biological problems such as
Continuous Assessment: 60% exhaustive search, greedy algorithms, dynamic
Final Examination: 40% programming algorithms, divide-and-conquer algorithms,
hidden Markov Modelling (HMM) and other techniques.
Medium of Instruction:
English Assessment Methods:
Continuous Assessment: 40%
Main References: Final Examination: 60%
1. William Stallings (2014). Operating Systems: Internals
th
and Design Principles. 8 ed. Pearson. Medium of Instruction:
2. Thomas Anderson and Michael Dahlin (2014). English
nd
Operating Systems: Principles and Practice. 2 ed.
3. Andrew S. Tanenbaum, Herbert Bos (2014). Moden Main References:
Operating Systems. 4 ed. 1. Jones, N. C. and Pevzner P. A. (2014). An Introduction
th
to Bioinformatics Algorithms, MIT Press.
2. Wing-Kin Sun (2013). Algorithms in Bioinformatics: A
SIV 2004 COMPUTER PROGRAMMING Practical Introduction, Chapman.

This course is intended as a first introduction to
programming computers using the C++ programming SIV 2007 SYSTEM ANALYSIS AND DESIGN
language. It provides an overview of programming
concepts, design and an introduction to coding using the This course introduces methodologies for the analysis,
C++ language. The course has a focus on creating working design, and development of an information system.
computer programs in C++. This course will address Importance is placed on system characteristics, managing
fundamental concepts of analysis, design, testing and code projects, prototyping, CASE tools, and systems
development. It includes flowcharts, Boolean logic, control development life cycle phases. Upon completion students
flow, data types and structures, variables, arrays, and should be able to analyze a problem and design an
functions. appropriate solution using a combination of tools and
Assessment Methods: techniques.
Continuous Assessment: 40%
Final Examination: 60% Assessment Methods:
Continuous Assessment: 40%
Medium of Instruction: Final Examination: 60%
English
Medium of Instruction:
Main References: English
1. Bjarne Stroustrup (2014). Programming: Principles
and Practice Using C++. 2 ed. Addison-Wesley. Main References:
nd
2. Deitel and Deitel (2014). C++ How to Program. 1. K.E. Kendal and J.E. Kendal (2011). Systems analysis
Prentice Hall. and design. Prentice-Hall Inc.
3. Y. Daniel Liang (2014). Introduction to Programming 2. Whitten and Bentley. Systems Analysis And Design
th
rd
with C++. 3 ed. Prentice Hall. Methods. 7 ed. Irwin McGraw-Hill Publishers.
3. Jeffrey A. Hoffer , Joey George and Joe A. Valacich
th
SIV 2005 BIOPHYSICS IN BIOINFORMATICS (2013). Modern Systems Analysis and Design. 7 ed.
Prentice Hall.
This course introduces students to the field of biophysics
and its role in the life sciences. It covers diverse aspects of
biophysical chemistry, including general concepts in SIV 2008 MOLECULAR BIOLOGY AND GENETIC
thermodynamics and kinetics as well as topics more ENGINEERING
specific to biological macromolecules. Students will also be
introduced to Physical techniques are central to the This course covers the following topics: The mechanism of
measurement of the atomic structure, dynamics and replication, transcription and translation in cells; Regulation
interactions of molecules that are a core foundation of of gene expression, including the interaction of molecules
modern molecular biology. in viruses, prokaryotes and eukaryotes; DNA mutation,
DNA repair mechanism and the mechanism of genetic
Assessment Methods: recombination; The role of the technology involved and
Continuous Assessment: 40% ethical issues related to genetic engineering
Final Examination: 60%
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