Please complete this week's survey, anonymously:
- A: How well do you understand the concept of likelihood?
1 = totally lost 5 = so, so 10 = Got It!
Results: 3, 4, 5, 5, 5, 6, 6, 8, 9, 10
- B: Rate the learning experience of the homeworks:
1 = hinder learning 10 = facilitate learning
Results: 4, 6, 7, 7, 8, 9, 9, 9, 9, 9
Request for supplementary materials.
Try a Google Search for Likelihood. The top hit is Wikipedia which is a pretty good source. Some of the other links are petty good, too.
Muhamed Hadzipasic suggests: Mathematical Statistics and Data Analysis, by John Rice, published by Thomson Books/Cole.
Several requests for homework assigned only on Thursdays.
I like having homework due every class, so that students are better prepared for every class, and so that we can discuss the homework at the beginning of each class. Having said that, I should point out that I am trying to design the homework sets so that homework can be completed in lab. Unfortunately, I do not know how long students are actually spending on homework. The question will be on the next survey. My impression is that students are spending more time than I wanted. I have been making an effort to make assignments easier and will continue with this trend.
Several comments to the effect that the class is going fast.
Point taken. This is another good question to ask on a survey. In the meantime, I'll try to slow down.
Request for an explanation of the relationship (of likelihood?) to course goals.
Maximum likelihood estimation of parameters is a fairly new method in Neuroscience, but there have been several papers applying the method to modeling in Neuroscience. Modeling and Identifying Neurosystems is a research class and we, for final projects, will be researching the question: is maximum likelihood estimation of parameters useful to doing Neuroscience? This connection is the relevance of studying likelihood to the course goals.