Course Title: Advanced Bioinformatics

Part A: Course Overview

Course Title: Advanced Bioinformatics

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

BIOL2127

Bundoora Campus

Undergraduate

135H Applied Sciences

Face-to-Face

Sem 2 2006,
Sem 2 2007,
Sem 2 2009,
Sem 2 2010,
Sem 2 2011,
Sem 2 2012,
Sem 2 2013,
Sem 2 2014,
Sem 2 2015

BIOL2196

City Campus

Undergraduate

135H Applied Sciences

Face-to-Face

Sem 1 2006,
Sem 1 2007,
Sem 1 2009

BIOL2350

Open Learning Australia

Non Award

171H School of Science

Distance / Correspondence

OUASP1UG18,
OUASP2UG18

Flexible Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

BIOL2427

OUA CSP

Undergraduate

171H School of Science

Internet

OUACSP2023 (All)

Course Coordinator: Dr Peter Smooker

Course Coordinator Phone: +61 3 9925 7129

Course Coordinator Email: peter.smooker@rmit.edu.au

Course Coordinator Location: Building 223 Level 1 Bundoora West

Course Coordinator Availability: By Appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

None


Course Description

Bioinformatics is the computational management and use of biological information to solve biological problems. This course will cover several aspects of this rapidly evolving field. Topics will include descriptions of genetic and biological databases and relevant tools available to retrieve and analyse the information within these. An introduction to proteomics will be given, including protein identification, molecular modeling and methods to determine protein structure. This course is designed to enable you to evaluate biological data using bioinformatic techniques, and to become adept at performing such analyses.


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes (PLOs):
2.1. You will exhibit depth and breadth of knowledge by demonstrating a well-developed understanding of biological sciences.
3.1. You will be able to critically analyse and solve problems in biotechnology by gathering, synthesizing and critically evaluating information from a range of sources.


By the end of the course, you should be able to:

  1.  Understand the theoretical basis behind bioinformatics.
  2. Search databases accessible on the internet for literature relating to molecular biology and biotechnology.
  3. Manipulate DNA and protein sequences using stand-alone PC programs and programs available on the internet.
  4. Find homologues, analyse sequences, construct and interpret evolutionary trees.
  5. Analyse protein sequences, identify proteins, and retrieve protein structures from databases. View and interpret these structures.
  6. Understand structure determination, homology modelling and computational drug design.
  7. Query biological data, interpret and model biological information and apply this to the solution of biological problems in any arena involving molecular data.


Overview of Learning Activities

 

You will be actively engaged in a range of learning activities such as lectorials, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both. 

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course


Overview of Learning Resources

 

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

Assessment Tasks

Assessment Task 1: Data analysis (2 x 2 h)
Weighting: 30%

Assessment Task 2: Project report
Weighting: 30%

Assessment Task 3: Theory examination (1 x 2 h)
Weighting: 40%

 If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.