Page 34 - Handbook Bachelor Degree of Science Academic Session 20212022

Faculty of Science Handbook, Academic Session 2021/2022

Main References: Main References:
1. Harisha, S. (2017). Biotechnology Procedures and 1. Madigan, M.T., Bender, K.S., Buckley, D.H., Sattley,
Experiments Handbook. 1st Ed. Jones & Bartlett W.M. & Stahl, D.A. (2017). Brock Biology of
Learning US. Microorganisms. 15th Ed. Pearson.
2. Bonner, L.R. & Hargreaves A.J. (2011). Basic 2. Talaro, K.P. & Chess, B. (2018). Foundations in
Bioscience Laboratory Techniques: A Pocket Guide. Microbiology. 10th Ed. McGraw-Hill.
1st Ed. Wiley-Blackwell. 3. Black, J.G. & Black, L.J. (2017). Microbiology:
3. Stryer , L. (2019). Biochemistry. 9th Ed. Macmilian. Principle and Explorations. 10th Ed. Wiley.

SIO 1003 BIOINFORMATICS CONCEPTS SIO 2002 ANIMAL BIOTECHNOLOGY
This course aims to introduce the fundamental concepts in This course covers the principles, techniques and
bioinformatic such as genome sequencing, pairwise and applications of animal biotechnology, including assisted
multiple molecular sequence alignment, database similarity reproductive technologies, breeding, and genetic
search, molecular phylogenetic and structural engineering. This course also discusses the ethics and
bioinformatics. It also covers the utilization of internet safety of animal biotechnology as well as implications on
biological databases to extract and analyse genomic, sustainability and animal welfare.
proteomic and protein structural data. The importance of
ontology in bioinformatics will also be emphasized. Various Assessment Methods:
bioinformatics problems and issues will be discussed on Continuous Assessment: 40%
bioinformatics data analysis and applications. Final Examination: 60%
Assessment Methods: Main References:
Continuous Assessment: 60% 1. Niemann, H. & Wrenzycki, C. (2018). Animal
Final Examination: 40% Biotechnology 1: Reproductive Biotechnologies.
Springer International Publishing.
Main References: 2. Niemann, H. & Wrenzycki, C. (2018). Animal
1. Pevzner , P & Shamir , R. (2011). Bioinformatics for Biotechnology 2: Emerging Breeding Technologies.
Biologists. Cambridge University Press. (2018) Springer International Publishing.
2. Lesk, A. (2014). Introduction to Bioinformatics. 4th Ed. 3. Alberts, B. et al. (2017) Molecular Biology of the Cell.
Oxford University Press. 6th Ed. Garland Science.
3. St Clair, C & Visick, J. (2013). Exploring
Bioinformatics: A Project-Based Approach. 2nd Ed.
Jones and Bartleti Publishers. SIO 2003 HIGHER PLANT PHYSIOLOGY

SIO 1004 INTRODUCTION TO COMPUTER This course covers explaination on how plants function and
PROGRAMMING IN BIOINFORMATICS grow. This includes metabolism (photosynthesis,
respiration, mineral nutrition), water relations, gas
exchange, response to environmental stresses, growth and
This course provides an introduction to computer
programming with an emphasis on bioinformatics data. In development in response to environmental cues and
this course, students will learn the fundamental aspects of biochemical control of growth.
computer programming including analysis, design, coding
using the C++ programming language and testing. This Assessment Methods:
course will address the topics such as flow chart, data Continuous Assessment: 40%
structures, data types, variables, Boolean logic, control Final Examination: 60%
flows and functions. By the end of the course, students will
be able to write and develop computer programs for solving Main References:
common bioinformatics tasks using a procedural 1. Willey, N. (2018). Environmental Plant Physiology.
programming style. Garland Science.
2. Bhatla, S. C., & Lal, M. A. (2018). Plant Physiology,
Assessment Methods: Development and Metabolism. Springer.
Continuous Assessment: 60% 3. Lopez, F. B., & Barclay, G. F. (2017). Plant Anatomy
Final Examination: 40% and Physiology. In Pharmacognosy (pp. 45-60).
Academic Press.
Main References:
1. Bjarne, S. (2014). Programming: Principles and
Practice Using C++. 2nd Ed. Addison-Wesley. SIO 2012 BIOINFORMATICS DATA MANAGEMENT
2. Deitel, P. and Deitel, H. (2017). C++ How to Program.
10th Ed. Prentice Hall. This course provides an introduction to data management
3. Liang, Y. D. (2014). Introduction to Programming with with an emphasis on biological data. In this course students
C++. 3rd Ed. Prentice Hall. will learn all of the fundamental aspects of data
management including acquisition, modelling, storage,
integration, analysis and interpretation of diverse data types
SIO 2001 APPLIED MICROBIOLOGY including structured and unstructured data that necessary
for managing biological data using software. By the end of
This course covers the topics including role and application the course students will be able to practice a systematic and
of industrial importance microorganisms in medicine, efficient methodology in managing biological data.
industry, agriculture, waste management and environment.
Assessment Methods:
Assessment Methods: Continuous Assessment: 60%
Continuous Assessment: 50% Final Examination: 40%
Final Examination: 50%

33