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Courses Fall 2009

For a detailed description of the courses provided, please refer to the Stanford Bulletin Explore Courses.

Note to faculty To request web space for your class on the Stanford servers, consult the course website link. For web and email lists, you should probably follow the Register for Leland Course Services link at the bottom of that page.

Course Number Instructor Course Title Times
Location
Stats 47N Susan Holmes Breaking the Code? Mon, Wed
4:15-5:30p
300-300
Stats 50 Tom Cover Mathematics of Sports

Tue Thu

11:00-12:15

60-120
Stats 60/160 Paul Switzer Introduction to Statistical Methods Mon Wed Fri
2:15-3:30p
Cubberley Auditorium
Stats 110 Omar De la Cruz Cabrera Statistical Methods in Engineering and the Physical Sciences Mon Tue Wed Thu
1:15-2:05p
420-040
Stats 116 David Siegmund
Theory of Probability Mon Tue Wed Thu Fri
10:00-10:50am
McCullough 115
Stats 141 John Boik Biostatistics Tue Thu
2:15-4:05p
420-040
Stats 202 Jonathan Taylor Data Analysis Mon Wed Fri
1:15-2:05p
Gates B3
Stats 206 Omar De la Cruz Cabrera Applied Multivariate Analysis Tue Thu
9:00-10:15
Sequoia 200
Stats 219 Jessica Zuniga
Stochastic
Processes
Mon Wed Fri
12:15-1:05p
380-380C
Stats 240
Tze Lai
Statistical Methods in Finance
Fri
9:00-10:50
Skilling Auditorium
Stats 260A
Richard Olshen
Workshop in Biostatistics Thu
1:15-3:05p
CCSR 4205
Stats 300A Iain Johnstone Theory of Statistics Mon Wed Fri
11:00-11:50
Sequoia 200
Stats 305 Art Owen Introduction to Statistical Modeling Mon Wed Fri
1:15-2:05
Sequoia 200
Stats 310A Andrea Montanari
Theory of Probability Tue Thu
12:50-2:05p
200-030
Stats 314 Joe Romano
Advanced Statistical Methods
Tue Thu
11:00-12:15
Sequoia 200
Stats 319 David Donoho
Literature of
Statistics
Tue
3:15-4:05p
Sequoia 200
Stats 338
Tze Lai
Topics in Biostatistics Fri
2:15-4:05p
380-381U
Stats 362 Art Owen Monte Carlo
Sampling
Mon Wed
2:15-3:30p
260-113
Stats 374/Math 234 Amir Dembo Large Deviations

Mon Wed Fri

3:15-4:05p

Sequoia 200
Stats 390
Richard Olshen
Consulting Workshop

TBA

Sequoia 220 (Fishbowl)
Dept. Course
Balasubramanian Narasimhan
Computational Tools for Statistics
Tu, Th, 12:00-12:45 Sequoia 211


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