BIOL30003 Case Studies In Computational Biology
|Dates & Locations:|| |
This subject has the following teaching availabilities in 2017:
Semester 2, Parkville - Taught on campus.Show/hide details
Timetable can be viewed here.
For information about these dates, click here.
|Time Commitment:||Contact Hours: 48 hours: 24 x one-hour lectures (2 per week) and 12 x two-hour tutorial classes (1 per week). |
Total Time Commitment:
|Recommended Background Knowledge:||None|
|Non Allowed Subjects:||None|
|Core Participation Requirements:|| |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry.
It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability
CoordinatorProf Edmund Crampin
|Subject Overview:|| |
This subject will introduce current topics in computational biology, focusing on case studies in a number of different biological areas, and applying a range of different mathematical and computational data handling approaches to solve or interrogate biological problems. Each topic will be developed through a series of lectures introducing the biological topic (relying on a fundamental knowledge of the molecular basis of life gained in second year level genetics and biochemistry subjects), the types and sources of biological data, and the relevant computational approaches, based around case studies. A series of assignments in each of these topic areas, supported by tutorial classes, will illustrate the computational methodologies as they are applied to specific biological data.
Indicative biological topics include applications of computational biology in:
|Learning Outcomes:|| |
On completion of this subject, students should:
Six written assignments (10% each) based on topics developed in the lectures, each culminating in a short report, totalling not more than 3000 words (6x 500 words), due in weeks 3, 5, 7, 8, 10 and 12 (60%). One written 2-hour end-of-semester examination due in the examination period (40%). There is a hurdle requirement of a minimum 50% mark on examination for satisfactory completion.
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
|Generic Skills:|| |
|Computational Biology |
Science-credited subjects - new generation B-SCI and B-ENG.