Page 106 - tmp

Faculty of Science Handbook, Session 2017/2018

SIH 1001 POPULATION BIOLOGY Multiple Range Test; Linear Regression Analysis and
Correlation.
Students learn various aspects of populations that include
populations of plants, animals, and human. Students are Assessment Methods:
also exposed to environmental phenomena such as acid Continuous Assessment: 50%
rain and global warming and their effects on populations Final Examination: 50%
and ecosystems. Basic population genetics, properties of
population, population growth and interaction between Medium of Instruction:
species and the environment. English
Assessment Methods: Soft Skills:
Continuous Assessment: 50% CS3, CT3, LL2
Final Examination: 50%
References:
Medium of Instruction: 1. Zar, J.H. (2010). Biostatistical analysis. 5 ed. Pearson.
th
English 2. Daniel, W.W. & Chad L. Cross (2013). Biostatistics: a
foundation for analysis in the health sciences. 10 ed.
th
Soft Skills: John Wiley.
CT3 3. Weiss, N.A. (2015). Introductory statistics. 10th ed.
Pearson Education, Inc.
References: 4. Barnes and Murdoch Statistical Tables
1. Mader SM and Windelspecht M. 2016. Biology. 12 th
ed. McGraw Hill.
2. Molles Jr. CM. 2016. Ecology: Concept and
Applications. 7 ed. McGraw Hill BACHELOR OF SCIENCE IN BIOINFORMATICS
th
3. Neal D. 2004. Introduction to Population Biology. PROGRAMME
Cambridge University Press
4. Smith RL and Smith TM. 2012 Elements of
Ecology.Benjamin Cummings Career Prospects
5. Weathers KC, Strayer DL, Likens GE 2013. Numerous career prospects are open to graduates of this
Fundamentals of Ecosystem Science. Academic programme. Graduates can work in the public or private
Press. sectors as diplomatic administrative officers, administrative
officers, lecturers, teaching assistants, tutors, teachers,
personnel managers, database or information technology
SIK 1001 BIOLOGY PRACTICAL managers and quality managers.
Biology Practical encompasses the practical aspect for
Year 1 Biology courses: Life Processes, Cell Biology, SIV 2001 FUNDAMENTALS OF BIOINFORMATICS
Biology of Organisms and Population Biology. Students will
put into practice the principles and theories in the field of This course aims to give an overview of fundamental
cell biology, microbiology, animal and plant diversity, concepts in bioinformatics. It covers the utilization of
biochemistry and ecology. Students will also learn various internet biological databases to extract and analyse
basic techniques in biological research. genomic, proteomic and protein structural data. The
importance of ontology in bioinformatics will also be
Assessment Methods: emphasized. Various bioinformatics problems and issues
Continuous Assessment: 100% will be discussed on bioinformatics applications.
Medium of Instruction: Assessment Methods:
English Continuous Assessment: 40%
Final Examination: 60%
Soft Skills:
CT3 Medium of Instruction:
English
References:
1. Raven,P.H., Johnson, G.B, Losos, J.B. and Singer, S.R Soft Skills:
(2013). Biology, McGraw-Hill Companies, Inc, New CT3, TS2
York.
2. Campbell, N.A., Reece, J.B., Urry, L.A., Cain, M.L., Main References:
Wasserman, S.A., Minorsky,P.V. and Jackson, 1. Pavel Pevzner and Ron Shamir (2011). Bioinformatics
R.B.(2008). Biology, Pearson Education Inc, California.
3. Freeman, S. (2013).Biological Sciences. Pearson for Biologist. Cambridge University Press. th
Education Inc, California 2. Lesk, A. (2014). Introduction to Bioinformatics. 4 ed.
4. Manual SIK 1001 Biology Practical, ISB Oxford University Press.
3. Caroline St Clair and Jonathan Visick (2013). Exploring
Bioinformatics: A Project-Based Approach. 2 ed. Jones
nd
SIX 1003 BIOSTATISTICS and Bartleti Publishers.
Sampling theory and design; Statistic descriptive;
Probability elements; Probability distributions & its usage; SIV 2002 BIOLOGICAL SYSTEMS AND PROCESSES
Binomial, Poisson, Normal; Central Limit Theorem;
Significant test; t distribution and the difference between
two samples; Non-parametric tests; Chi-Square Test – The course includes the metabolism process of
Goodness of Fit test, Contingency table; Principle of carbohydrate, glycogen, penthose phosphate pathway,
gluconeogenesis, lipid and amino acid metabolism,
experimental design; Analysis of Variance (ANOVA); photosynthesis, stomata opening, plant transportation,
Examples of one way and two ways ANOVA; Duncan
ecology, mechanism of muscle contraction, vertebrate
103