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SOFT9019 - Appln Dev for Biosciences 2

Title:Appln Dev for Biosciences 2
Long Title:Advanced Application Development for Biosciences 2
Module Code:SOFT9019
Credits: 5
NFQ Level:Expert
Field of Study: Computer Software
Valid From: Semester 1 - 2013/14 ( September 2013 )
Module Delivered in 1 programme(s)
Module Coordinator: Donna OShea
Module Author:  
Module Description: This module teaches advanced software development techniques relevant to computational biology. The emphasis is on assessing software service technologies and techniques suitable processing data in an efficient and effective manner. Students will be able to apply best principles and practice in creating their software applications.
Learning Outcomes
On successful completion of this module the learner will be able to:
LO1 Critique various implementation techniques for distributed and web based platforms.
LO2 Evaluate service oriented systems for sequence alignment
LO3 Design and create a computer program to analyse a large data set and present results.
Pre-requisite learning
Module Recommendations
This is prior learning (or a practical skill) that is strongly recommended before enrolment in this module. You may enrol in this module if you have not acquired the recommended learning but you will have considerable difficulty in passing (i.e. achieving the learning outcomes of) the module. While the prior learning is expressed as named CIT module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module. You may not earn additional credit for the same learning and therefore you may not enrol in this module if you have successfully completed any modules in the incompatible list.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed

This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed. You may not enrol on this module if you have not acquired the learning specified in this section.

No requirements listed
No Co Requisites listed

Module Content & Assessment

Indicative Content
Data Structures and Algorithms
Standard data structures; collection interfaces and implementations; searching and sorting; parallel approaches.
Data Access
Databases, files, streams, I/O file handling options for storing data XML vs serialization vs. relational DB, establishing a database connection , add, delete and update objects stored in a database, Data Access APIs, cloud storage access.
Web Services
Web Services. objects on the web. XML, SOAP, WSDL and UDDI. Publishing and consuming web services.
Software Quality Assurance
Unit testing; automated testing; integration testing; stress testing.
Assessment Breakdown%
Course Work100.00%
Course Work
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Project Design and create a computer program to analyse a large data set and present results. 1,2,3 50.0 Week 12
Other In class Assessments 1,2,3 50.0 Every Second Week
No End of Module Formal Examination
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

The institute reserves the right to alter the nature and timings of assessment


Module Workload

Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture Face to face presentation 1.0 Every Week 1.00
Lab Problem based learning 2.0 Every Week 2.00
Directed Learning Problem based e-Portfolio development 4.0 Every Week 4.00
Total Hours 7.00
Total Weekly Learner Workload 7.00
Total Weekly Contact Hours 3.00
This module has no Part Time workload.

Module Resources

Recommended Book Resources
  • M .L. Model 2008, Bioinformatics Programming Using Python: Practical Programming for Biological Data, O'Reilly [ISBN: 059615450X]
  • Ethan Cerami 2005, XML for bioinformatics, Springer New York [ISBN: 0-387-23028-9]
This module does not have any article/paper resources
Other Resources

Module Delivered in

Programme Code Programme Semester Delivery
CR_SCMPB_9 Master of Science in Computational Biology 2 Elective

Cork Institute of Technology
Rossa Avenue, Bishopstown, Cork

Tel: 021-4326100     Fax: 021-4545343
Email: help@cit.edu.ie