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Jack Baskin School of Engineering

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Schedule of Classes: Applied Mathematics & Statistics: 2008-2009

Home ยป Courses
Lower-Division
Class Name Fall 2008 Winter 2009 Spring 2009
2 Pre-Statistics
    Mendes
3 Precalculus for Science and Engineering
Mendes
Mendes
 
5 Statistics
Lee
Morris
Rodriguez
7 Statistical Methods for the Biological, Environmental, and Health Sciences
Draper
Draper
Prado
7L Statistical Methods for the Biological, Environmental, and Health Sciences Laboratory
Draper
Draper
Prado
10 Mathematical Methods for Engineers I
Mendes
  Brummell
10A Basic Mathematical Methods for Engineers I
    Brummell
11A Mathematical Methods for Economists
Katznelson
Katznelson
Katznelson
11B Mathematical Methods for Economists
Katznelson
Katznelson
Katznelson
20 Mathematical Methods for Engineers II
  Gong
 
20A Basic Mathematical Methods for Engineers II
  Gong
 
27L Mathematical Methods for Engineers Laboratory
  Pignotti
 
80A Gambling and Gaming
     
Upper-Division
Class Name Fall 2008 Winter 2009 Spring 2009
107 Introduction to Fluid Dynamics
  Brummell
 
113 Managerial Statistics
     
114 Introduction to Dynamical Systems
  Garaud
 
115 Stochastic Modeling in Biology
    Mangel
131 Introduction to Probability Theory
    Kottas
132 Statistical Inference
Rodriguez
   
147 Computational Methods and Applications
  Wang
 
162 Design and Analysis of Computer Simulation Experiments
     
Graduate
Class Name Fall 2008 Winter 2009 Spring 2009
202 Linear Models in SAS
     
205 Mathematical Statistics
     
205A Mathematical Statistics
Rodriquez
Telecast to SVC
   
205B Statistical Inference
Sansó
   
206 Bayesian Statistics
  Lee
 
207 Intermediate Bayesian Statistical Modeling
    Draper
210 Mathematical Models
     
211 Foundations of Applied Mathematics
Brummell
   
212A Applied Mathematical Methods I
  Garaud
 
212B Applied Mathematical Methods II
    Wang
213 Numerical Solutions of Differential Equations
    Gong
214 Applied Dynamical Systems
  Garaud
 
215 Stochastic Modeling in Biology
    Mangel
216 Stochastic Differential Equations
  Wang
 
217 Introduction to Fluid Dynamics
  Brummell
 
221 Bayesian Decision Theory
Sansó
   
223 Time Series Analysis
     
231 Nonlinear Control Theory
     
236 Motion Coordination of Robotic Networks
     
241 Bayesian Nonparametric Methods
  Kottas
 
245 Spatial Statistics
    Sanso
256 Linear Statistical Models
  Prado
 
261 Probability Theory with Markov Chains
     
263 Stochastic Processes
     
274 Generalized Linear Models
    Kottas
280A Seminar in Mathematical and Computational Biology
Mangel
Mangel
Mangel
280B Seminars in Statistical and Applied Mathematical Modeling
Draper
Rodriguez
Sanso
280C Seminar in Geophysical & Astrophysical Fluid Dynamics (Pending Approval)
  Garaud
Garaud
285 Seminar in Career Skills
     
290A Topics in Mathematical and Computational Biology
     
290B Advanced Topics in the Numerical Solution of PDEs
  Brummell
Telecast from UC Berkeley - continues into Spring quarter
Brummell
Telecast from UC Berkeley - enroll in Winter only
291 Advanced Topics in Bayesian Statistics
    Mendes
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