CNV: Assessed Coursework
The assessed coursework for CNV consists of two assignments, together
worth 50% of the overall mark:
- Assignment 1: Retinotopy and orientation maps
- Start:
- Available online in week 0, but updated
for IPython notebook at the beginning of week 3. Based on
lectures up to 6 February (for part 1) and 13 February (for
part 2). Starting by 10 February is highly recommended to
allow any issues to be solved well in advance of the deadline.
- Submit:
- Due at 4pm Thursday, 27 February, 2014
via the online submit command.
- Return:
- Marks will be returned by 13 March,
with specific email feedback on each submission along
with an overall discussion of the class results.
- Weighting:
- Worth 20% of the overall course mark.
- Assignment 2: Project,
either the sample dichromatic vision project
or another topic of your choice.
- Start:
- Available online in week 0. Based on
lectures throughout the course, but can be started at any
point, usually after completing assignment 1, and the earlier
the better. A skeleton of one suitable project (chosen by
class vote) will be provided after the due date of assignment 1,
for those who want a more concrete starting point.
- Submit:
- Due at 4pm Thursday, 20 March 2014, via
the online submit command.
- Return:
- Marks will be returned by 3 April,
with specific email feedback on each submission along
with an overall discussion of the class results.
- Weighting:
- Worth 30% of the overall course mark.
For those without a background in Python, or who need some
reminding, you should work through our tutorial sessions
on Python. The first tutorial
covers basic Python usage, and everyone should at least verify that
they are comfortable with all of the topics in it. The
second tutorial covers more advanced
topics, and is likely to be useful even to people with a limited prior
background in Python.
Students wishing to do well on the assignments should check out my
list of writing tips.
Also, when preparing output from the Topographica simulator, please keep
these tips on
generating high-quality figures in mind.
Last updated: 2014/03/06 03:37:53
