Date 
Topic 
Handouts/Activities 
Jan 7 
Syllabus
 
Jan 9 
Introduction to Inverse Problems 

Jan 14 
Introduction to Inverse Problems (cont.) 

Jan 16 
Discrete Inverse
Problems


Jan 21 
Discrete Inverse
Problems (Cont.)


Jan 23 
Regularization Methods 

Jan 28 
Regularization Methods (cont.) 

Jan 30 
Regularization Parameters 

Feb 4 
Regularization Parameters (cont.)


Feb 6 
Iterative Regularization


Feb 11 
Iterative Regularization(cont.) 

Feb 13 
Iterative Regularization (cont.)


Feb 18 
Solving Real Inverse Problems


Feb 20 
Guest Lecture  Orly Alter  GSVD


Feb 25 
Guest Lecture  Yaniv Gur
 Image Deblurring 

Feb 27 
Guest Lecture  Per
Christian Hansen  Tomography 

Mar 4 
Bounds as Constraints 

Mar 6 
Maximum Entropy


Mar 11 
No Class  Spring Break 
Mar 13 
No Class  Spring Break 
Mar 18 
Statistical Inverse Problems 

Mar 20 
Statistical Inverse Problems (cont.)


Mar 25 
Guest Lecture  Yaniv Gur


Mar 27 
Optimization and Inverse Problems 

Apr 1 
Optimization and Inverse Problems (cont.)


Apr 3 
Case Studies 

Apr 8 
Case Studies 2 

Apr 10 
Guest Lecturer TBD 

Apr 15 
Project Presentations 

Apr 17 
Project Presentation 

Apr 22 
Guest Lecturer TBD 

Apr 2530 
Final Project Due 
