Course Title: Bioinformatics and Multi-Omics Data Analysis
Part A: Course Overview
Course Title: Bioinformatics and Multi-Omics Data Analysis
Credit Points: 12.00
Course Coordinator: Dr Jennifer Boer
Course Coordinator Phone: +61 3 9925 7138
Course Coordinator Email: jennifer.boer@rmit.edu.au
Course Coordinator Availability: By appointment
Pre-requisite Courses and Assumed Knowledge and Capabilities
None
Course Description
Bioinformatics is an exciting space which involves the use of software tools to analyse complex biological data allowing us to unlock fundamental biological secrets.
In this course you will gain an understanding of how to use bioinformatics to unravel the ever-changing multifaceted biological information carried by our genome. You will investigate the challenges from bench to laptop and gain an invaluable understanding of the proper techniques to use for appropriate experimental design, for successful data analysis and for appropriate biological interpretation. All these aspects together can be ultimately harnessed to effectively understand hidden biological functions of diseases as well as improving vaccine and drug design.
This course was designed to give you an appreciation of the possibilities that Bioinformatics offers and the importance of understanding this field as we move across a revolution of industry 4.0 affecting Health care in unprecedented ways.
You will develop an understanding of the opportunities this field of study offers in the context of academia and of industry, and of its incredible potential uses.
Objectives/Learning Outcomes/Capability Development
Upon successful completion of this course, you will be able to:
- Understand the principles and concepts of Bioinformatics
- Critically reflect on the evolution and history of sequencing methods and current Omics technologies including the possibilities they offer in the context of biological research
- Propose the many important considerations for a successful study design
- Evaluate the importance of quality controls (QC) and sanity checks when interpreting biological 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
You will be assessed on how well you meet the course’s learning outcomes. To appreciate the importance of multidisciplinary and collaboration in this space assessment tasks may include:
- Participation in group discussions; and
- Presentations describing your research design and the interpretation of results.
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.
Your course assessment conforms to RMIT assessment principles, regulations, policies and procedures.