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Recent advances and controversies in neuroscience research.
NEUR 301 is an advanced-level paper for 300-level Neuroscience students who intend to continue on to do postgraduate study. Only 16 students may enrol in NEUR 301 each year and admission is based on academic merit and requires the approval of the Director of the Neuroscience Programme. NEUR 301 does not count as one of the four 300-level papers required for a major in Neuroscience, but it does count as one of the five 300-level papers needed to be considered for admission to BSc(Hons) in Neuroscience. NEUR 301 is not required for admission to BSc(Hons) in Neuroscience.
| Paper title | Current Topics in Neuroscience |
|---|---|
| Paper code | NEUR301 |
| Subject | Neuroscience |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees (NZD) | $1,092.15 |
| International Tuition Fees (NZD) | $5,314.50 |
- Prerequisite
- ANAT 242, PHSL 231, PSYC 211 and 18 200-level BIOC, GENE, ZOOL or PHAL points
- Schedule C
- Science
- Notes
- Available only to selected Neuroscience students with approval from the Director, Neuroscience Programme.
- Eligibility
- 300-level Neuroscience students who are interested in postgraduate study in Neuroscience
and who have achieved good grades at 200-level will be considered for the paper.
Enrolments for this paper are limited, and it requires departmental permission. View more information about limitations of enrolment. - Contact
- neuroscience@otago.ac.nz
- Teaching staff
Teaching staff to be confirmed. Please contact neuroscience@otago.ac.nz for further information.
- Paper Structure
NEUR 301 is taught in three independent modules, each lasting about four weeks. Each module is taught by a different neuroscientist from one of the departments contributing to the Neuroscience Programme.
NEUR 301 is internally assessed. The neuroscientist teaching the module assigns and marks the assessment(s) associated with that module. The teaching staff collaborate to ensure a variety of assessment types and skills are assessed.
- Teaching Arrangements
The neuroscientists teaching NEUR 301 in 2021 are expected to be Dr Ryan Ward (Psychology), Associate Professor Bruce Russell (Pharmacy), and Dr Mei Peng (Food Sciences).
- Textbooks
Textbooks are not required for this paper.
- Course outline
The course outline is available from neuroscience@otago.ac.nz.
- Graduate Attributes Emphasised
- Interdisciplinary perspective, Communication, Critical thinking, Research.
View more information about Otago's graduate attributes. - Learning Outcomes
Students who successfully complete this paper will
- Have a clear understanding of the nature of some major new discoveries in neuroscience, the methods used to elucidate them and their wider implications
- Develop skill in reading, interpreting and critiquing journal articles reporting neuroscience discoveries
- Develop skill in combining information from multiple sources to produce a review of a field of research
- Develop skill in communicating scientific ideas in writing and orally
- Develop skill in data analysis and experimental design
Timetable
Recent advances and controversies in neuroscience research.
NEUR 301 is an advanced-level paper for 300-level Neuroscience students who intend to continue on to do postgraduate study. Only 16 students may enrol in NEUR 301 each year and admission is based on academic merit and requires the approval of the Director of the Neuroscience Programme. NEUR 301 does not count as one of the four 300-level papers required for a major in Neuroscience, but it does count as one of the five 300-level papers needed to be considered for admission to BSc(Hons) in Neuroscience. NEUR 301 is not required for admission to BSc(Hons) in Neuroscience.
| Paper title | Current Topics in Neuroscience |
|---|---|
| Paper code | NEUR301 |
| Subject | Neuroscience |
| EFTS | 0.15 |
| Points | 18 points |
| Teaching period | Semester 1 (On campus) |
| Domestic Tuition Fees | Tuition Fees for 2022 have not yet been set |
| International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Prerequisite
- ANAT 242, PHSL 231, PSYC 211.
- Schedule C
- Science
- Notes
- Available only to selected Neuroscience students with approval from the Director, Neuroscience Programme.
- Eligibility
- 300-level Neuroscience students who are interested in postgraduate study in Neuroscience
and who have achieved good grades at 200-level will be considered for the paper.
Enrolments for this paper are limited, and it requires departmental permission. View more information about limitations of enrolment. - Contact
- Teaching staff
- Paper Structure
NEUR 301 is taught in three independent modules, each lasting about four weeks. Each module is taught by a different neuroscientist from one of the departments contributing to the Neuroscience Programme.
NEUR 301 is internally assessed. The neuroscientist teaching the module assigns and marks the assessment(s) associated with that module. The teaching staff collaborate to ensure a variety of assessment types and skills are assessed.
- Teaching Arrangements
There will be two seminars each week: Monday 2 pm - 3.50 pm and Friday 9 am - 11 am (unless specified otherwise in the course outline).
- Textbooks
Textbooks are not required for this paper.
- Course outline
To request a copy of the course outline contat neuroscience@otago.ac.nz.
- Graduate Attributes Emphasised
- Interdisciplinary perspective, Communication, Critical thinking, Research.
View more information about Otago's graduate attributes. - Learning Outcomes
Students who successfully complete this paper will
- Have a clear understanding of the nature of some major new discoveries in neuroscience, the methods used to elucidate them and their wider implications
- Develop skill in reading, interpreting and critiquing journal articles reporting neuroscience discoveries
- Develop skill in combining information from multiple sources to produce a review of a field of research
- Develop skill in communicating scientific ideas in writing and orally
- Develop skill in data analysis and experimental design
