The specific topics discussed in CSE 250B will include, not necessarily in this order,
January 8, 2013 
Maximum
likelihood (ML) 

January 10 
Conditional log likelihood, logistic
regression 
Project 1 due on
January 24 
January 15 
Gradient descent 
Quiz 1 with answer 
January 17 
Stochastic gradient descent  
January 22 
The general loglinear
model, feature functions 
Quiz 2 with answer 
January 24 
Conditional random fields (CRFs), feature
functions 
Project 2 due on
February 12 
January 29 
Viterbi algorithm for inference, Collins
perceptron for training 
Quiz 3 with answer 
January 31 
Forward and backward algorithms for CRFs 

February 5 
Computing CRF expectations, contrastive
divergence 
Quiz 4 with answer 
February 7 
Gibbs sampling, overview of text mining  Project 3 due on February 28 
February 12 
Multinomial distribution, generative
processes 
Quiz 5 with answer 
February 14 
Dirichlet distribution, latent Dirichlet
allocation (LDA) 

February 19 
Derivation of Gibbs sampling for LDA 
Quiz 6 with answer 
February 21 
Optimization of Gobbs sampling for LDA 

February 26 
Learning
semantics for sentences 
Quiz 7 with answer 
February 28 
Neural networks and autoencoders 
Project 4 due on
March 18 
March 5 
Derivatives for SGD, choosing
a tree structure, loss functions 
Quiz 8 with answer 
March 7 
Backpropagation for feedforward networks 

March 12 
Backpropagation for vectorvalued nodes 
Quiz 9 with answer 
March 14 
Review of recursive
autoencoder networks for the project 

March 19 (Tuesday) 
Final
exam in the usual lecture room from
3pm to 6pm 
There is no a priori correspondence between letter grades and numerical scores on the assignments or on the exam. You can evaluate your performance in the class by comparing your scores with the means and standard deviations, which will be announced. However there is also no fixed correspondence between letter grades and standard deviations above or below the mean. If all students do well in the absolute, then all students will get a good grade.
You should not drop CSE 250B just because you are unhappy with the score that you receive on a project or quiz. Instead, you should make an appointment to discuss with the TA or the instructor how you can do better on following projects and quizzes.
Most recently
updated on March 14, 2013 by Charles Elkan, elkan@cs.ucsd.edu.