Page 59 - buku panduan 20192020

Faculty of Science Handbook, Session 2019/2020

(10 ed). Brooks Cole. 1440 pp. SIX 1003 BIOSTATISTICS
th
3. Barnes, R.S.K. 1998. The Diversity of Living
Organisms. Blackwell Science. 345 pp. Sampling theory and design; Statistic descriptive;
4. Brooker et al. 2014. Biology. McGraw-Hill Higher Probability elements; Probability distributions & its usage;
Education Binomial, Poisson, Normal; Central Limit Theorem;
Significant test; t distribution and the difference between
two samples; Non-parametric tests; Chi-Square Test –
SIH 1001 POPULATION BIOLOGY Goodness of Fit test, Contingency table; Principle of
experimental design; Analysis of Variance (ANOVA);
Students learn various aspects of populations that include Examples of one way and two ways ANOVA; Duncan
populations of plants, animals, and human. Students are Multiple Range Test; Linear Regression Analysis and
also exposed to environmental phenomena such as acid Correlation.
rain and global warming and their effects on populations
and ecosystems. Basic population genetics, properties of Assessment Methods:
population, population growth and interaction between Continuous Assessment: 50%
species and the environment. Final Examination: 50%

Assessment Methods: Medium of Instruction:
Continuous Assessment: 50% English
Final Examination: 50%
Soft Skills:
Medium of Instruction: CS3, CT3, LL2
English
References:
Soft Skills: 1. Zar, J.H. (2010). Biostatistical analysis. 5 ed.
th
CT3 Pearson.
2. Daniel, W.W. & Chad L. Cross (2013). Biostatistics: a
References: foundation for analysis in the health sciences. 10
th
th
1. Mader SM and Windelspecht M. 2016. Biology. 12 ed. John Wiley.
ed. McGraw Hill. 3. Weiss, N.A. (2015). Introductory statistics. 10th ed.
2. Molles Jr. CM. 2016. Ecology: Concept and Pearson Education, Inc.
th
Applications. 7 ed. McGraw Hill 4. Barnes and Murdoch Statistical Tables
3. Neal D. 2004. Introduction to Population Biology.
Cambridge University Press
4. Smith RL and Smith TM. 2012 Elements of
Ecology.Benjamin Cummings BACHELOR OF SCIENCE IN BIOINFORMATICS
5. Weathers KC, Strayer DL, Likens GE 2013. PROGRAMME
Fundamentals of Ecosystem Science. Academic
Press.
Career Prospects
Numerous career prospects are open to graduates of this
SIK 1001 BIOLOGY PRACTICAL programme. Graduates can work in the public or private
sectors as diplomatic administrative officers,
Biology Practical encompasses the practical aspect for administrative officers, lecturers, teaching assistants,
Year 1 Biology courses: Life Processes, Cell Biology, tutors, teachers, personnel managers, database or
Biology of Organisms and Population Biology. Students information technology managers and quality managers.
will put into practice the principles and theories in the field
of cell biology, microbiology, animal and plant diversity,
biochemistry and ecology. Students will also learn various SIV 2001 FUNDAMENTALS OF BIOINFORMATICS
basic techniques in biological research.
This course aims to give an overview of fundamental
Assessment Methods: concepts in bioinformatics. It covers the utilization of
Continuous Assessment: 100% internet biological databases to extract and analyse
genomic, proteomic and protein structural data. The
Medium of Instruction: importance of ontology in bioinformatics will also be
English emphasized. Various bioinformatics problems and issues
will be discussed on bioinformatics applications.
Soft Skills:
CT3 Assessment Methods:
Continuous Assessment: 40%
References: Final Examination: 60%
1. Raven,P.H., Johnson, G.B, Losos, J.B. and Singer,
S.R (2013). Biology, McGraw-Hill Companies, Inc, Medium of Instruction:
New York. English
2. Campbell, N.A., Reece, J.B., Urry, L.A., Cain, M.L.,
Wasserman, S.A., Minorsky,P.V. and Jackson, Soft Skills:
R.B.(2008). Biology, Pearson Education Inc, California. CT3, TS2
3. Freeman, S. (2013).Biological Sciences. Pearson
Education Inc, California Main References:
4. Manual SIK 1001 Biology Practical, ISB 1. Pavel Pevzner and Ron Shamir (2011).
Bioinformatics for Biologist. Cambridge University
Press.
2. Lesk, A. (2014). Introduction to Bioinformatics. 4 ed.
th
Oxford University Press.

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