Page 49 - Handbook Bachelor Degree of Science Academic Session 20202021

Faculty of Science Handbook, Academic Session 2020/2021

SIH 1001 POPULATION BIOLOGY
Medium of Instruction:
Students learn various aspects of populations that include English
populations of plants, animals, and human. Students are
also exposed to environmental phenomena such as acid References:
rain and global warming and their effects on populations 1. Zar, J.H. (2010). Biostatistical analysis. 5 ed.
th
and ecosystems. Basic population genetics, properties of Pearson.
population, population growth and interaction between 2. Daniel, W.W. & Chad L. Cross (2013). Biostatistics: a
species and the environment. foundation for analysis in the health sciences. 10 ed.
th
John Wiley.
Assessment Methods: 3. Weiss, N.A. (2015). Introductory statistics. 10th ed.
Continuous Assessment: 50% Pearson Education, Inc.
Final Examination: 50% 4. Barnes and Murdoch Statistical Tables

Medium of Instruction:
English
BACHELOR OF SCIENCE IN BIOINFORMATICS
References: PROGRAMME
th
1. Mader SM and Windelspecht M. 2016. Biology. 12
ed. McGraw Hill.
2. Molles Jr. CM. 2016. Ecology: Concept and Career Prospects
Applications. 7 ed. McGraw Hill Numerous career prospects are open to graduates of this
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3. Neal D. 2004. Introduction to Population Biology. programme. Graduates can work in the public or private
Cambridge University Press sectors as diplomatic administrative officers, administrative
4. Smith RL and Smith TM. 2012 Elements of officers, lecturers, teaching assistants, tutors, teachers,
Ecology.Benjamin Cummings personnel managers, database or information technology
5. Weathers KC, Strayer DL, Likens GE 2013. managers, quality managers, computational biologists,
Fundamentals of Ecosystem Science. Academic systems engineers, and business development executives.
Press.

SIV 2001 FUNDAMENTALS OF BIOINFORMATICS
SIK 1001 BIOLOGY PRACTICAL
This course aims to give an overview of fundamental
Biology Practical encompasses the practical aspect for concepts in bioinformatics. It covers the utilization of
Year 1 Biology courses: Life Processes, Cell Biology, internet biological databases to extract and analyse
Biology of Organisms and Population Biology. Students will genomic, proteomic and protein structural data. The
put into practice the principles and theories in the field of importance of ontology in bioinformatics will also be
cell biology, microbiology, animal and plant diversity, emphasized. Various bioinformatics problems and issues
biochemistry and ecology. Students will also learn various will be discussed on bioinformatics applications.
basic techniques in biological research.
Assessment Methods:
Assessment Methods: Continuous Assessment: 40%
Continuous Assessment: 100% Final Examination: 60%

Medium of Instruction: Medium of Instruction:
English English

References: Main References:
1. Raven,P.H., Johnson, G.B, Losos, J.B. and Singer, S.R 1. Pavel Pevzner and Ron Shamir (2011). Bioinformatics
(2013). Biology, McGraw-Hill Companies, Inc, New
York. for Biologist. Cambridge University Press. th
2. Campbell, N.A., Reece, J.B., Urry, L.A., Cain, M.L., 2. Lesk, A. (2014). Introduction to Bioinformatics. 4 ed.
Wasserman, S.A., Minorsky,P.V. and Jackson, Oxford University Press.
R.B.(2008). Biology, Pearson Education Inc, California. 3. Caroline St Clair and Jonathan Visick (2013).
3. Freeman, S. (2013).Biological Sciences. Pearson Exploring Bioinformatics: A Project-Based Approach.
Education Inc, California 2 ed. Jones and Bartleti Publishers.
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4. Manual SIK 1001 Biology Practical, ISB

SIV 2002 BIOLOGICAL SYSTEMS AND PROCESSES
SIX 1003 BIOSTATISTICS
The course includes the metabolism process of
Sampling theory and design; Statistic descriptive; carbohydrate, glycogen, penthose phosphate pathway,
Probability elements; Probability distributions & its usage; gluconeogenesis, lipid and amino acid metabolism,
Binomial, Poisson, Normal; Central Limit Theorem; photosynthesis, stomata opening, plant transportation,
Significant test; t distribution and the difference between ecology, mechanism of muscle contraction, vertebrate
two samples; Non-parametric tests; Chi-Square Test – endocrine system, transportation of oxygen and carbon
Goodness of Fit test, Contingency table; Principle of dioxide in blood.
experimental design; Analysis of Variance (ANOVA);
Examples of one way and two ways ANOVA; Duncan Assessment Methods:
Multiple Range Test; Linear Regression Analysis and Continuous Assessment: 40%
Correlation. Final Examination: 60%

Assessment Methods:
Continuous Assessment: 50% Medium of Instruction:
Final Examination: 50% English

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