Page 62 - buku panduan 20192020

Faculty of Science Handbook, Session 2019/2020

Systems: Introduction to Databases and Data Main References:
Warehouses. 1. Tore S. (2012). Genomics and Bioinformatics: An
Introduction to Programming Tools for Life Scientists.
Cambridge University Press.
SIV 3001 RESEARCH PROJECT IN 2. Ziheng Yang (2014). Molecular Evolution: A
BIOINFORMATICS Statistical Approach. Oxford University Press.
3. Micheal Agostino (2012). Practical Bioinformatics.
The course is best taken in two consecutive semesters. Garland Science.
The 3rd Semester is not included as the duration is short
(8 weeks only). Students carry out the research projects
(and complete the thesis) individually under the SIV 3004 PROGRAMMING IN BIOINFORMATICS
supervision of at least one lecturer from the enroled
program (unless in special cases that was consented by This course aims to provide specific knowledge required
the Head of ISB). The lecturer is considered as the main for bioinformatics students to learn advanced aspects in
supervisor. The supervisor must ensure that the project bioinformatics programming. It covers the techniques used
can be completed within the 2 semesters. Thesis of the for bioinformatics programming; and instruction on the
project should be submitted to the examiner. It should be techniques and the use of tools for accessing, searching
presented to the appointed Co-ordinator of the Course, by and retrieving information from biological databases and
the 14th week of the 2nd Semester. Texts of the thesis is the submission of new entries. Besides that, it also
suggested to be between 10,000-20,000 words (excluding introduces the scripting languages commonly used in
tables, bibliography, appendices, etc). Bioinformatics such as Perl, Python and Java. The
libraries and toolkits relating to the scripting languages will
Assessment Methods: be also introduced such BioPerl, Biopython and BioJava.
Continuous Assessment 100% Various problems related to Bioinformatics are considered
to be solved using one of the scripting programming
Medium of Instruction: languages.
English
Assessment Methods:
Soft Skills: Continuous Assessment: 60%
CS3, CT3, LL2, EM2 Final Examination: 40%

Medium of Instruction:
SIV 3002 INDUSTRIAL TRAINING IN English
BIOINFORMATICS
Soft Skills:
Students will be placed at government hospitals, other CS3, CT3, TS2
relevant government or private agencies of their choice,
which have agreed to host them. Students will be exposed Main References:
to everyday working activities as instructed by their 1. Keith Bradnam and Ian Korf (2012). UNIX and Perl to
supervisors at the place of work. At the end of the training, the Rescue: A Field Guide for the Life Sciences.
the students have to submit a report for the training Cambridge University Press
experience; the employer submits a separate report about 2. Brian D foy, Randal L. Schwartz and Tom Phoenix
the student’s performance throughout the duration of the (2011). Learning Perl. Sixth Edition. O'Reilly Media
training. 3. Mitchell L Model (2010). Bioinformatics Programming
Using Python. O’Reilly Media.
Assessment Methods:
Continuous Assessment: 100%
SIV 3005 BIOMOLECULAR MODELLING
Medium of Instruction:
English This course covers the following topics: The concepts of
molecular viewer and protein databases; The structure of
Soft Skills: biomolecules especially proteins; Protein structure
CS3, CT3, TS2, EM2 determination and prediction; Applications of biomolecular
modeling in drugs and vaccine development and design.

SIV 3003 ANALYSIS OF MOLECULAR SEQUENCE Assessment Methods:
Continuous Assessment: 40%
This course emphasizes the basic understanding and Final Examination: 60%
knowledge required to analyse different types of molecular
sequences. In practice, students will be introduced to Medium of Instruction:
databases, methods of searching and matching, English
exploration of molecular information using predictive
methods, and molecular phylogenetics for both nucleic Soft Skills:
acids and protein sequences. CT3, LL2
Assessment Methods:
Continuous Assessment: 40% Main References:
Final Examination: 60% 1. Zvelebil M. & Baum J. O. (2008). Understanding
Bioinformatics. Garland Science, USA.
Medium of Instruction: 2. Stryer L. (2015). Biochemistry. Freeman and Co.,
English NY.
3. Leach, A.R. (2010). Molecular Modelling- Principles
Soft Skills: and Applications. Addison Wesley Longman.
CT3, TS2

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