Courses & Units
Neuroscience B CHP312
Introduction
The aim of this unit is to build on the knowledge you have gained regarding the structure and function of the nervous system in CHP311 and relate that to our current understanding of how the nervous system functions, for example in learning and memory, and to our current understanding of selected diseases and disorders of the nervous system. We will incorporate neuroscience theory with learning about experimental techniques, analysis methods and selected diseases and disorders of the nervous system to understand how and why neuroscience research is conducted.
Summary
| Unit name | Neuroscience B |
|---|---|
| Unit code | CHP312 |
| Credit points | 12.5 |
| College/School | College of Health and Medicine School of Medicine |
| Discipline | Medicine |
| Coordinator | Doctor William Connelly |
| Available as an elective? | Yes |
| Delivered By | University of Tasmania |
| Level | Advanced |
Availability
| Location | Study period | Attendance options | Available to | ||
|---|---|---|---|---|---|
| Hobart | Semester 2 | On-Campus | International | Domestic | |
Key
- On-campus
- Off-Campus
- International students
- Domestic students
Note
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Units are offered in attending mode unless otherwise indicated (that is attendance is required at the campus identified). A unit identified as offered by distance, that is there is no requirement for attendance, is identified with a nominal enrolment campus. A unit offered to both attending students and by distance from the same campus is identified as having both modes of study.
Key Dates
| Study Period | Start date | Census date | WW date | End date |
|---|---|---|---|---|
| Semester 2 | 10/7/2023 | 8/8/2023 | 28/8/2023 | 15/10/2023 |
* The Final WW Date is the final date from which you can withdraw from the unit without academic penalty, however you will still incur a financial liability (refer to How do I withdraw from a unit? for more information).
Unit census dates currently displaying for 2023 are indicative and subject to change. Finalised census dates for 2023 will be available from the 1st October 2022. Note census date cutoff is 11.59pm AEST (AEDT during October to March).
Learning Outcomes
- Describe basic anatomical and biochemical knowledge of selected major diseases and disorders of the nervous system.
- Describe how fundamental experimental and analysis techniques are used in Neuroscience Research.
- Describe appropriate experimental controls for given experimental techniques.
- Critically evaluate neuroscience research questions posed in the literature, through your knowledge of neuroscience theory, experimental and analytical techniques.
- Pose a potentially testable neuroscience question and justify it based on research in the literature and explain how you would test it experimentally and analyse the question.
| Field of Education | Commencing Student Contribution 1,3 | Grandfathered Student Contribution 1,3 | Approved Pathway Course Student Contribution 2,3 | Domestic Full Fee 4 |
|---|---|---|---|---|
| 019901 | $1,037.00 | $1,037.00 | not applicable | $2,472.00 |
1 Please refer to more information on student contribution amounts.
2 Please refer to more information on eligibility and Approved Pathway courses.
3 Please refer to more information on eligibility for HECS-HELP.
4 Please refer to more information on eligibility for FEE-HELP.
If you have any questions in relation to the fees, please contact UConnect or more information is available on StudyAssist.
Please note: international students should refer to What is an indicative Fee? to get an indicative course cost.
Requisites
Prerequisites
CHP311Teaching
| Teaching Pattern | Lectures, tutorials, reading and analysis of journal papers. |
|---|---|
| Assessment | Research plan (10%)|Quizzes (15%)|Mid Semester Exam (20%)|Presentation (25%)|Written Assignment (30%) |
| Timetable | View the lecture timetable | View the full unit timetable |
Textbooks
| Required |
Required readings will be listed in the unit outline prior to the start of classes. |
Links | Booktopia textbook finder |
|---|
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