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Brain Imaging and Neural Networks A (NEUR90009)
Graduate courseworkPoints: 12.5On Campus (Parkville)
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
April
Overview
Availability | April |
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Fees | Look up fees |
This subject is an intensive 5 consecutive days program (totalling 28 contact hours) introducing the main principles of brain imaging at whole organ level in humans and animal models. This subject will normally be offered in week 6 of Semester 1, depending on when the Easter Non -Teaching Period occurs (ie between weeks 6 and 9). The subject comprises:
- A series of 16 hour long lectures, each delivered by research experts in the field, covering three broad themes:
- Magnetic Resonance Imaging
- Positron Emission Tomography/Single Photon Emission Computed Tomography and
- Invasive Methods for Measuring Brain Activity in Animal Models
- Basic concepts of each modality are introduced, as well as their major research applications.
- Particular technology advantages and disadvantages are outlined comparatively to highlight specific use and limitations.
- Design and analysis of experiments, as well as practical decisions that must be made in the process are discussed in the context of the various imaging modalities.
- In addition to this, the program includes 12 hours of tutorials in which a group project deepens and consolidates this information through critiquing an imaging research paper. This group project culminates in a class presentation of the group’s conclusions and class discussion at the end of the week. Group memberships are chosen to ensure a relatively uniform mix of background disciplines and experience.
Intended learning outcomes
On completion of this subject students will be able to:
- Develop an understanding of contemporary brain imaging technologies and their applications in basic and clinical neuroscience research at an intermediate to advanced level.
- Acquire a basic vocabulary of imaging methods to be able to interact with multi-disciplinary imaging experts when required.
- Develop a capacity to critically analyse the neuroscience research literature using imaging modalities.
- Develop an awareness of potential pitfalls in the imaging field and common errors found in the literature.
- Appreciate the need for and benefit from collaborating with imaging technology experts when setting up experiments using imaging methods.
- Demonstrate the application of principles learned in the subject to their research project.
Generic skills
On completion of this subject, students will have developed the following generic skills:
- Critical reading skills at an advanced level.
- Oral communication skills including public speaking and on the interpersonal level.
- Written communication skills at a high level.
- Team work skills and becoming aware of the benefit of collaborating with others.
- High organization and time management skills in the short and longer term.
- The capacity to apply concepts learned in their own area of research.
Last updated: 3 November 2022
Eligibility and requirements
Prerequisites
None
Corequisites
Students enrolled through the Florey Department and in this subject must also enrol in:
NEUR90007 Design and Analysis for Neurosciences A (12.5)
or
NEUR90011 Molecular and Cellular Neuroscience A (12.5)
or
NEUR90012 Molecular and Cellular Neuroscience B (6.25)
NEUR900013 Neuroscience of Behaviour & Cognition A (12.5)
or
NEUR900014 Neuroscience of Behaviour & Cognition B (6.25)
Non-allowed subjects
Students cannot enrol in and gain credit for this subject and:
Code | Name | Teaching period | Credit Points |
---|---|---|---|
NEUR90010 | Brain Imaging and Neural Networks B | April (On Campus - Parkville) |
6.25 |
CLRS90017 | Neuroimaging for Clinical Research | July (Off Campus) |
12.5 |
CLRS90026 | Clinical Neuroscience Res. & Imaging | No longer available |
(Students who have completed the above CLRS subjects should contact the Course Convener to discuss exemption from parts of this subject).
Recommended background knowledge
Basic knowledge of first year Physics is desirable but not essential.
Inherent requirements (core participation requirements)
The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.
Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home
Last updated: 3 November 2022
Assessment
Additional details
- Full 5 days attendance, attendance is taken twice daily of the subject and full participation in class exercises, group project, presentation and discussion are required. A minimum 85% attendance is required (= x 1); a pro rata attendance multiplier will apply to total assessment.
- One oral group presentation (total 20 min; 5 min per student) plus class discussion, equivalent to 1,000 words at the end of the week-subject, worth 20%.
- One written literature review on the chosen research topic related to this area, of minimum 4,000 words excluding cited references to be submitted by the first week of September, worth 80%.
Last updated: 3 November 2022
Dates & times
- April
Principal coordinator Kathelijne Lefevere Mode of delivery On Campus (Parkville) Contact hours 28 hours, 16 hours of lectures and 12 hours of tutorials Total time commitment 170 hours Teaching period 1 April 2019 to 5 April 2019 Last self-enrol date 2 April 2019 Census date 3 May 2019 Last date to withdraw without fail 12 July 2019 Assessment period ends 9 September 2019 April contact information
Time commitment details
170 hours
Last updated: 3 November 2022
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
- Related Handbook entries
This subject contributes to the following:
Type Name Course Master of Commerce (Decision, Risk and Financial Sciences) Course Doctor of Philosophy - Medicine, Dentistry and Health Sciences Course Ph.D.- Medicine, Dentistry & Health Sciences
Last updated: 3 November 2022