Page 114 - handbook 20162017

Faculty of Science Handbook, Session 2016/2017

SIV 3007 INSTRUMENTATION IN BIOLOGICAL basic concepts of WWW client-server communications
SCIENCES and the skills to use the above tool to create Web
applications will be also introduced. Various problems
This course is going to introduce basic techniques and related to Bioinformatics such as query, search and
skills in biological experiments and instrumentation. It will retrieve information are considered to be solved using
cover the basic biochemistry, genetics, molecular, physical internet programming languages.
biochemistry experimental techniques to answer biological
questions. Assessment Methods:
Continuous Assessment: 60%
Assessment Methods: Final Examination: 40%
Continuous Assessment: 100%
Medium of Instruction:
Medium of Instruction: English
English
Soft Skills:
Soft Skills: CS4, CT3, TS2
CT3, TS2, LS2
Main References:
Main References: 1. Scott Guelich, Shishir Gundavaram, Gunther Birznieks
1. M. H. Fulekar and B. Pandey (2013). (2012). CGI Programming with Perl. 2 nd Ed. O’Reilly
Bioinstrumentation. K International Publishing House. Media.
2. S. Bejugam and V. R. Meka (2012). BioInstrumentation: 2. Mitchell L Model (2013). Bioinformatics Programming
Tremor Quantification and Parameter Extraction. LAP Using Python. O’Reilly Media.
LAMBERT Academic Publishing. 3. Ethan Cerami (2013). XML for Bioinformatics. Springer.
3. G. Karp (2013). Cell and Molecular Biology: Concepts
and Experiments. Wiley.
SIV 3010 DATA MINING AND MACHINE LEARNING

This course introduces basic conceptual elements of
SIV 3008 INTRODUCTION TO GEOGRAPHIC machine learning and data mining including data
INFORMATION SYSTEM preprocessing methods, classification techniques,
supervised and unsupervised learning, clustering
This course provides an introduction to the theory and techniques, evaluation models and applications of
practice of geographic information systems (GIS). This machine learning and data mining in bioinformatics.
course will introduce some of the basic concepts of GIS, Software tools such as MATLAB or WEKA will be
input of data, storage and management of data and introduced and used in solving bioinformatics problems.
modelling output from GIS. Concepts such as how to
model the complex real world in a computer and the Assessment Methods:
difference between data and geographic data are covered. Continuous Assessment: 40%
Lectures cover the basics of GIS, vector and raster data Final Examination: 60%
models, geographic data analysis, visualisation
techniques and geographic overlay. The practical Medium of Instruction:
sessions build basic skills in GIS such as adding, English
visualising, analysing and modelling data and creating
effective map layouts. Soft Skills:
CS3, CT3, TS1
Assessment Methods:
Continuous Assessment: 60% Main References:
Final Examination: 40% 1. Jiawei Han and Micheline Kamber (2012). Data Mining:
Concepts and Techniques. Morgan Kaufmann
Medium of Instruction: Publishers.
English 2. Ian H. Witten, Eibe Frank, Mark A. Hall (2011). Data
Mining: Practical Machine Learning Tools and
Soft Skills: Techniques. The Morgan Kaufmann Publishers.
CT3, TS2, LL2 3. Pang-Ning Tan, Michael Steinbach, Vipin Kumar
(2012). Introduction to Data Mining. Addison-Wesley.
Main References:
1. Ian Heywood ,Sarah Cornelius (2011). An Introduction
th
to Geographical Information Systems. 4 ed. Prentice SIV 3012 COMPUTATIONAL INTELLIGENCE IN
Hall. BIOINFORMATICS
2. John R Jensen, Ryan R. Jensen (2013). Introductory
Geographic Information Systems. Pearson. This course introduces computational intelligent (CI)
3. Keith C. Clarke (2011). Getting Started with techniques including artificial neural network, fuzzy logic,
th
Geographic Information Systems, 5 ed. Prentice Hall. genetic algorithm, support vector machine and others.
Example of case studies which applied CI in biological
problems will be discussed. Software tools such as
SIV 3009 INTERNET PROGRAMMING MATLAB will be used to develop and implement the CI
models.
This course aims to introduce the World Wide Web
(WWW), web software, connections and hardware, Assessment Methods:
introduction to internet programming and scripting, Continuous Assessment: 40%
website maintenance and Web applications. It covers an Final Examination: 60%
introduction to internet programming and the languages.
Topics include HTML, XHTML, DHTML, XML, CSS, Medium of Instruction:
JavaScript, PHP, CGI, Perl, and SQL. Besides that, the English

109