NRSC courses

REGISTERING FOR NRSC COURSES

For both GPN and non-GPN students: please contact ubc.neuroscience@ubc.ca to register for NRSC non-thesis courses (NRSC 550,551,552,553 and 510). The program coordinator will register all incoming students for the thesis courses (NRSC 549 and 649). All continuing students need to register for Winter and Summer term thesis courses on Workday.

CORE NRSC COURSES

Course CodeCourse Name and DescriptionSchedule
NRSC 550 (3)Action Potential and Synapses: Basic mechanisms controlling the resting membrane potential, excitability, and synaptic transmission of cells within the brain.First half of Winter Term 1. 8:30-10:20am on Mondays, Wednesdays, and Fridays in Djavad Mowafaghian Centre for Brain Health (DMCBH) 3402.
NRSC 551 (3)Molecular and Developmental Neuroscience: Introduction to concepts and applications of molecular/cell biology and genomics in neuroscience, emphasizing on the development of the nervous system.Second half of Winter Term 1. 9am-10:50am on Mondays, Wednesdays and Fridays in Djavad Mowafaghian Centre for Brain Health (DMCBH) 3402.
NRSC 552 (3)Sensorimotor Neuroscience: Basic systems-level mechanisms underlying sensory transduction, perception and movementFirst half of Winter Term 2. 9am-10:50am on Mondays, Wednesdays and Fridays in Djavad Mowafaghian Centre for Brain Health (DMCBH) 3402.
NRSC 553 (3)Cognition and Emotion: Systems-level mechanisms underlying cognitive and affective behaviours in health and disease.Second half of Winter Term 2. 9am-10:50am on Mondays, Wednesdays and Fridays in Djavad Mowafaghian Centre for Brain Health (DMCBH) 3402.

PROGAM REQUIREMENTS

Master’s Students

Master’s students need to complete a total of 12 credits of coursework. Master’s students must choose two from the core courses (NRSC 550, 551,552, 553). The two mandatory core courses will fulfill 6/12 coursework credits. The remaining 6 elective credits can be taken from the core courses, the other NRSC courses, or courses offered in different programs. No more than three credits can be taken at the 300 or 400-level.

For MSc students planning to transfer to the PhD program without completing the MSc program (‘fast-tracking’)

Fast-tracking may be permitted after no less than 12 months and no more than 24 months of study in the master’s program with the following course requirements fulfilled: completion of 12 credits with marks of 80% or higher, of which normally at least 9 credits must be at the 500 level or above (including the two core NRSC courses) and at least 9 credits must be of First Class standing. More information: https://www.grad.ubc.ca/policies/transfer-degree-or-program

PhD students

Doctoral students for whom the course requirement has not been waived must take two core courses (NRSC 550,551,552, 553). Additional courses may be required at the direction of the GPN Director or the student’s supervisor on a case-by-case basis.

ELECTIVE NRSC COURSES

NRSC 510: Topics in Neurodata (3)

NRSC 510 A, B and C are offered during Winter Term 1.

Tuesdays 15:30-16:30 and Fridays 12:30-14:00pm.

Location: NINC Data Analysis/Computation Lab (Djavad Mowafaghian Centre for Brain Health)

Course coordinator: Timothy Murphy 510A, B and C

Instructors: Jeff LeDue (510A, B and C) and Federico Bolanos 510C

This course is restricted to students in the Graduate Program in Neuroscience. All other students must obtain permission from the course coordinator.

Typically students new to topics in neurodata and neuroimaging would enroll in 510A and advanced students would enroll in 510B. In some cases it would be possible to enroll in both courses in different years provided novel material was investigated within a project; NRSC 510A and B run concurrently. 

Advanced students interested in the dynamics of the mouse visual system and the use of open data from the Allen Institute for Brain Science should enroll in 510C with permission (pre-approval required before registration prior to Sept. 1st) from the coordinator.  510C will be an opportunity to contribute to cutting edge original project that may lead to an authorship on a team publication. 

  • Students will begin to learn or refresh their coding skills using the materials used in the Dynamic Brain Circuits "Intro to coding" sessions in Matlab, python or R.
  • While developing their skills students will choose a coding project to work on using their thesis data, data from an open repository/publication or data previously collected at UBC. Projects could reproduce a figure/finding from a paper, illustrate a well-known result from open data, or answer a new scientific question.
  • Students will work with instructors/tutors to determine a manageable scope for their project to help ensure that it can be completed in the time allotted, will not be limited by available computing resources and are clearly delineated into reading data, working with the data, and saving outputs/figures.
  • Students will meet the instructor(s) in the classroom for guided intro to programming sessions with an additional 2 hours of tutoring support available through the online Databinge forum.
  • Students should expect to spend a comparable amount of time working independently on their projects.
  • For evaluation, students will provide a written report, code (well-documented Jupyter notebook, R markdown file, or matlab script), and a final presentation at the Databinge forum.

  • Students will already be comfortable with programming in Matlab, python or R. Review of the materials used in the Dynamic Brain Circuits "Intro to coding" sessions is at their discretion.
  • Students will choose a coding project to work on using their thesis data, data from an open repository/publication, or data previously collected at UBC.  Projects could reproduce a figure(s)/finding(s) from a paper, illustrate a well-known result(s) from open data, or answer a new scientific question(s).
  • Students will work with instructors/tutors to determine a manageable scope for their project and will report to all in class sessions alongside 510A students.  This may include identifying additional computing resources, either in the NINC lab or using iMAP Compute Canada resources.
  • Students will meet the instructor(s) in the classroom for project guidance with an additional 2 hours of tutoring support available through the online Databinge forum.
  • Students should expect to spend a comparable amount of time (as scheduled in class time) working independently on their projects.
  • For evaluation, students will provide a written report, code (well-documented Jupyter notebook, R markdown file, or matlab script), and a final presentation at the Databinge forum.

An opportunity for three advanced students (contact the coordinator for pre-approval before registration) to work with existing mouse visual system open data sets and new not publicly available data sets from the Allen Institute for Brain Science. This is expected to be a group data analysis project that will likely lead to a team paper. Inclusion within the team manuscript is dependent on overall contribution and input from other team members and it is expected that the data analysis (and contributions for a paper) may take longer than the course term. Assessment will be based on student’s understanding of the biology, software tools, and repositories they create during regular course period and attendance in weekly team meetings.  Attendance in NRSC510A/B lectures and tutorials will be optional for these students. Topics may include study of neural coding, cortical cellular mapping, “representational drift”, and computational modeling.

NON-NEUROSCIENCE STUDENTS

Taking NRSC courses for Credit or Audit: Graduate students who are not in the Neuroscience graduate program may register for courses with permission from the course instructor. Please contact ubc.neuroscience@ubc.ca for more information. Please include your name, UBC student number and why you are interested in taking the course(s).