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:
- Understand the theoretical basis behind bioinformatics.
- Search databases accessible on the internet for literature relating to molecular biology and biotechnology.
- Manipulate DNA and protein sequences using stand-alone PC programs and programs available on the internet.
- Find homologues, analyse sequences, construct and interpret evolutionary trees.
- Analyse protein sequences, identify proteins, and retrieve protein structures from databases. View and interpret these structures.
- Understand structure determination, homology modelling and computational drug design.
- 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.