Each student is responsible for scribing the lecture notes in LaTeX. The writeup should elaborate where needed on issues that have been merely skimmed over in the lecture, fill in mathematical details that were skipped, and provide proper references. We will try to upload the final version of each lecture note within one week from the lecture. The Monday lecture scribe will be due on Saturday in the same week by 5 PM, and the Wednesday lecture scribe will be due on the following Monday by 5 PM.
If multiple students are assigned to the same lecture, students should scribe the lecture individually. The final lecture notes posted on the website will have aggregated components from all the scribes.
The style file for the lecture note is ee378.sty. A sample lecture notes can be found here: sample.tex with the pdf output sample.pdf.
Lecture notes
 Lecture 1 (03/29/10): Course Introduction and Overview I
Notes: [pdf] [source] (scribed by Matt Kraning)
 Lecture 2 (03/31/10): Course Introduction and Overview II
Notes: [pdf] [source] (scribed by Kahye Song)
 Lecture 3 (04/05/10): Markov Triplets and Undirected Graphical Models
Notes: [pdf] [source] (scribed by Jingyu Cui, Shota Hino)
 Lecture 4 (04/07/10): State Estimation for Hidden Markov Processes
Notes: [pdf] [source] (scribed by Jaime Lien, Ethan Johnson)
 Lecture 5 (04/12/10): HMP State Estimation and 4Nearest Neighbor MRF
Notes: [pdf] [source] (scribed by Lance Fornwalt Reichert, Huizhong Chen)
 Lecture 6 (04/14/10): Markov Chain Monte Carlo
Notes: [pdf] [source] (scribed by Pegah Tootoonchi Afshar, Sameh Galal)
 Lecture 7 (04/19/10): Particle Filtering
Notes: [pdf] [source] (scribed by Andreja Nagy, Matthew Thomas Tang)
 Lecture 8 (04/21/10): Parameter Estimation
Notes: [pdf] [source] (scribed by Himanshu Asnani, Aaron Benjamin Greenblatt)
 Lecture 9 (04/26/10): Estimation under a Loss Function
Notes: [pdf] [source] (scribed by Georges Goetz, ManChia Chen)
 Lecture 10 (04/28/10): Estimation and Prediction under Log Loss
Notes: [pdf] [source] (scribed by John Breneman, Haleh Tabrizi)
 Lecture 11 (05/03/10): JMMSE, De Bruijn's Identity and IMMSE Theorem
Notes: [pdf] [source] (scribed by Qi Liu, Yifan YangGong, Yan Yan)
 Lecture 12 (05/05/10): Information Theoretic Quantities in Estimation
Notes: [pdf] [source] (scribed by Daniel Rosenfeld, Michael Marx)
 Lecture 13 (05/10/10): Estimation in ContinuousTime AWGN Channels
Notes: [pdf] [source] (scribed by David Jackson, Navraj Singh)
 Lecture 14 (05/12/10): Mismatched Estimation and Relative Entropy
Notes: [pdf] [source] (scribed by Sung Hee Park, Vladimir Kibardin)
 Lecture 15 (05/17/10): Estimation and Prediction Methods Under Log Loss
Notes: [pdf] [source] (scribed by Yuhong Wang, Raymond Xu)
 Lecture 16 (05/19/10): RedundancyCapacity Theorem
Notes: [pdf] [source] (scribed by Nish Sinha, Albert No, Chi Zhang)
 Lecture 17 (05/24/10): Strong RedundancyCapacity Theorem
Notes: [pdf] [source] (scribed by Aditya Gudipati, Chafic Jean Mourad)
 Lecture 18 (05/26/10): Dominating LeastSquares Estimation
Notes: [slides][pdf] [source] (scribed by Aaron B. Adcock, Eugene Perederey)
 Lecture 19 (06/02/10): Minimax Redundancy and Logloss Prediction
Notes: [pdf] [source] (scribed by Joseph Huang, Reza Mirghaderi)
