Page 167 - handbook 20152016

Faculty of Science Handbook, Session 2015/2016

such as mobile interface design and interactive web- Medium of Instruction:
based systems. English

Assessment Methods: Soft Skills:
Continuous Assessment: 40% CT3, TS2, LL2
Final Examination: 60%
Main References:
Medium of Instruction: 1. Ian Heywood ,Sarah Cornelius (2011). An Introduction
th
English to Geographical Information Systems. 4 ed. Prentice
Hall.
Soft Skills: 2. John R Jensen, Ryan R. Jensen (2013). Introductory
CT3, TS1, EM2 Geographic Information Systems. Pearson.
3. Keith C. Clarke (2011). Getting Started with
th
Main References: Geographic Information Systems, 5 ed. Prentice Hall.
1. Jennifer Preece, Yvonne Rogers, and Helen Sharp.
Interaction Design: Beyond Human-Computer
Interaction. John Wiley. SIB 3009 INTERNET PROGRAMMING
2. Alan Dix, Janet Finlay, Gregory Abowd, and Russel
Beale (2013). Human- Computer Interaction. Prentice This course aims to introduce the World Wide Web
Hall. (WWW), web software, connections and hardware,
3. Ben Schneiderman. Designing the User Interface: introduction to internet programming and scripting,
th
Strategies for Effective Human-Computer Interaction. 5 website maintenance and Web applications. It covers an
ed. Addison Wesley. introduction to internet programming and the languages.
Topics include HTML, XHTML, DHTML, XML, CSS,
JavaScript, PHP, CGI, Perl, and SQL. Besides that, the
SIB 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 Ed. O’Reilly
nd
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.
SIB 3010 DATA MINING AND MACHINE LEARNING

This course introduces basic conceptual elements of
SIB 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: Main References:
Continuous Assessment: 40% 1. Jiawei Han and Micheline Kamber (2012). Data Mining:
Final Examination: 60% Concepts and Techniques. Morgan Kaufmann
Publishers.

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