Probability

Spring 2022
#26251
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Yang Chu
Jan 18, 2022 - May 06, 2022
Mo, We
04:00 pm - 04:59 pm
Evans 332
Class #:26251
Units:4

Instruction Mode: In-Person Instruction

Open Seats

5 Unreserved Seats

STAT 134 - DIS 103 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
Spring 2022
#26250
STAT 134 102 - DIS 102 offered through Statistics

Concepts of Probability

Hyunsuk Kim
Jan 18, 2022 - May 06, 2022
Mo, We
02:00 pm - 02:59 pm
Evans 332
Class #:26250
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT 134 - DIS 102 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
Spring 2022
#26249
STAT 134 101 - DIS 101 offered through Statistics

Concepts of Probability

Hyunsuk Kim
Jan 18, 2022 - May 06, 2022
Mo, We
01:00 pm - 01:59 pm
Evans 332
Class #:26249
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

STAT 134 - DIS 101 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
Spring 2022
#26248
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Adam R Lucas
Jan 18, 2022 - May 06, 2022
Mo, We, Fr
10:00 am - 10:59 am
Valley Life Sciences 2050
Class #:26248
Units:4

Instruction Mode: In-Person Instruction

Open Seats

20 Unreserved Seats

STAT 134 - LEC 001 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
Spring 2022
#29731
DATA C140 111S - SUP 111S offered through Data Science Undergraduate Studies

Probability for Data Science

Jan 18, 2022 - May 06, 2022
12:00 am
Class #:29731
Units:4

Instruction Mode: In-Person Instruction

Open Seats

63 Unreserved Seats

DATA C140 - SUP 111S Probability for Data Science more detail
An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
Spring 2022
#29714
DATA C140 999 - DIS 999 offered through Data Science Undergraduate Studies

Probability for Data Science

Jan 18, 2022 - May 06, 2022
12:00 am
Class #:29714
Units:4

Instruction Mode: In-Person Instruction

Open Seats

63 Unreserved Seats

DATA C140 - DIS 999 Probability for Data Science more detail
An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
Spring 2022
#29709
DATA C140 001 - LEC 001 offered through Data Science Undergraduate Studies

Probability for Data Science

Ani Adhikari
Jan 18, 2022 - May 06, 2022
Tu, Th
05:00 pm - 06:29 pm
Dwinelle 155
Class #:29709
Units:4

Instruction Mode: In-Person Instruction

Open Seats

63 Unreserved Seats

DATA C140 - LEC 001 Probability for Data Science more detail
An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
2021 Summer Session C 8 weeks, June 21 - August 13
#15964
STAT 134 104 - DIS 104 offered through Statistics

Concepts of Probability

Do Hai Ninh
Jun 21, 2021 - Aug 13, 2021
Mo, Tu, We, Th
04:00 pm - 04:59 pm
Internet/Online
Class #:15964
Units:4

Instruction Mode: Pending Review

Open Seats

16 Unreserved Seats

STAT 134 - DIS 104 Concepts of Probability more detail
An introduction to probability, emphasizing concepts and applications. Conditional expectation, independence, laws of large numbers. Discrete and continuous random variables. Central limit theorem. Selected topics such as the Poisson process, Markov chains, characteristic functions.
How to apply
2021 Fall
#30797
STAT C140 140S - SUP 140S offered through Statistics

Probability for Data Science

Class #:30797
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C140 - SUP 140S Probability for Data Science more detail
An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
2021 Fall
#30754
STAT C140 999 - DIS 999 offered through Statistics

Probability for Data Science

Class #:30754
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C140 - DIS 999 Probability for Data Science more detail
An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
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