Page 112 - handbook 20162017
P. 112
Faculty of Science Handbook, Session 2016/2017
Soft Skills: Assessment Methods:
CS3, LL2, EM2 Continuous Assessment: 40%
Final Examination: 60%
Main References:
1. Connolly, T. M. & Begg, C.E. (2014). Database Medium of Instruction:
Systems: A Practical Approach to Design, English
Implementation, and Management. 6th ed. Pearson
Education. Soft Skills:
2. Carlos Coronel & Steven Morris (2014). Database CT3, TS2, LS2
Systems: Design, Implementation, & Management.
3. Nenad Jukic & Susan Vrbsky (2013). Database Main References:
Systems: Introduction to Databases and Data 1. Tore S. (2012). Genomics and Bioinformatics: An
Warehouses. Introduction to Programming Tools for Life Scientists.
Cambridge University Press.
2. Ziheng Yang (2014). Molecular Evolution: A Statistical
SIV 3001 RESEARCH PROJECT IN Approach. Oxford University Press.
BIOINFORMATICS 3. Micheal Agostino (2012). Practical Bioinformatics.
Garland Science.
The course is best taken in two consecutive semesters.
The 3rd Semester is not included as the duration is short
(8 weeks only). Students carry out the research projects SIV 3004 PROGRAMMING IN BIOINFORMATICS
(and complete the thesis) individually under the
supervision of at least one lecturer from the enroled This course aims to provide specific knowledge required
program (unless in special cases that was consented by for bioinformatics students to learn advanced aspects in
the Head of ISB). The lecturer is considered as the main bioinformatics programming. It covers the techniques used
supervisor. The supervisor must ensure that the project for bioinformatics programming; and instruction on the
can be completed within the 2 semesters. Thesis of the techniques and the use of tools for accessing, searching
project should be submitted to the examiner. It should be and retrieving information from biological databases and
presented to the appointed Co-ordinator of the Course, by the submission of new entries. Besides that, it also
the 14th week of the 2nd Semester. Texts of the thesis is introduces the scripting languages commonly used in
suggested to be between 10,000-20,000 words (excluding Bioinformatics such as Perl, Python and Java. The
tables, bibliography, appendices, etc). libraries and toolkits relating to the scripting languages will
be also introduced such BioPerl, Biopython and BioJava.
Assessment Methods: Various problems related to Bioinformatics are considered
Continuous Assessment 100% to be solved using one of the scripting programming
languages.
Medium of Instruction:
English Assessment Methods:
Continuous Assessment: 60%
Soft Skills: Final Examination: 40%
CS3, CT3, LL2, EM2
Medium of Instruction:
English
SIV 3002 INDUSTRIAL TRAINING IN
BIOINFORMATICS Soft Skills:
CS4, CT3, TS2
Students will be placed at government hospitals, other
relevant government or private agencies of their choice, Main References:
which have agreed to host them. Students will be exposed 1. Keith Bradnam and Ian Korf (2012). UNIX and Perl to
to everyday working activities as instructed by their the Rescue: A Field Guide for the Life Sciences.
supervisors at the place of work. At the end of the training, Cambridge University Press
the students have to submit a report for the training 2. Brian D foy, Randal L. Schwartz and Tom Phoenix
experience; the employer submits a separate report about (2011). Learning Perl. Sixth Edition. O'Reilly Media
the student’s performance throughout the duration of the 3. Mitchell L Model (2010). Bioinformatics Programming
training. Using Python. O’Reilly Media.
Assessment Methods:
Continuous Assessment: 100% SIV 3005 BIOMOLECULAR MODELLING
Medium of Instruction: This course covers the following topics: The concepts of
English molecular viewer and protein databases; The structure of
biomolecules especially proteins; Protein structure
Soft Skills: determination and prediction; Applications of biomolecular
CS3, CT2, TS1, EM2 modeling in drugs and vaccine development and design.
Assessment Methods:
SIV 3003 ANALYSIS OF MOLECULAR SEQUENCE Continuous Assessment: 40%
Final Examination: 60%
This course emphasizes the basic understanding and
knowledge required to analyse different types of molecular Medium of Instruction:
sequences. In practice, students will be introduced to English
databases, methods of searching and matching,
exploration of molecular information using predictive Soft Skills:
methods, and molecular phylogenetics for both nucleic CT3, TS2, LL2
acids and protein sequences.
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