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Computational Biology and Statistical Genomics
Students are
expected to take 9 units of graduate courses in genetics or
neurosciences (imaging), such as GENE 203/BIOSCI 203, as well
as 9 units of classes in Statistical Genetics or Bioinformatics,
GENE 344AB, STATS 345, STATS 366, STATS 367.
Machine Learning
Courses can be chosen from the following list:
Statistical Learning: STATS 315A and 315B
Data Bases: CS 245, 346, 347
Probabilistic Methods in AI: CS 221, 354
Statistical Learning Theory and Pattern Classification: CS 229
Applied Probability
Students are expected to take 15 units of graduate
courses in some of the following areas:
Control and Stochastic Calculus: MS&E 322, 351, MATH 237, EE 363
Finance: STATS 250, FINANCE 622, MATH 236
Information Theory: EE 376A, 376B
Monte Carlo: STATS 318, 345, 362, MS&E 323
Queuing Theory: MS&E 335, GSB 661, 663
Statistical Mechanics: STATS 365
Stochastic Processes: STATS 317, MATH 234
Earth Science Statistics
Students are expected to take:
STATS 317,
STATS 318,
STATS 352
and three courses from the GES or Geophysics departments, such
as GES 144 or GEOPHYS 210.
Social and Behavioral Sciences
Students are expected to take three advanced
courses from the department with an applied orientation such as:
STATS 261/262,
STATS 324,
STATS 343, STATS 354
and three advanced quantitative courses from departments such
as Psychology, Sociology, Political Science, Anthropology, Economics,
and the Schools of Education, Business or Medicine.
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