Probability

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.
2021 Fall
#30753
STAT C140 001 - LEC 001 offered through Statistics

Probability for Data Science

Swupnil K Sahai
Aug 25, 2021 - Dec 10, 2021
Tu, Th
12:30 pm - 01:59 pm
Internet/Online
Class #:30753
Units:4

Instruction Mode: Pending Review

No Open Seats
STAT 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 Fall
#32606
STAT 134 110 - DIS 110 offered through Statistics

Concepts of Probability

Ishaan Srivastava
Aug 25, 2021 - Dec 10, 2021
Mo, We
01:00 pm - 01:59 pm
Etcheverry 3105
Class #:32606
Units:4

Instruction Mode: In-Person Instruction

Open Seats

2 Unreserved Seats

STAT 134 - DIS 110 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.
2021 Fall
#32605
STAT 134 109 - DIS 109 offered through Statistics

Concepts of Probability

Zhiyi You
Aug 25, 2021 - Dec 10, 2021
Mo, We
06:00 pm - 06:59 pm
Internet/Online
Class #:32605
Units:4

Instruction Mode: Pending Review

No Open Seats
STAT 134 - DIS 109 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.
2021 Fall
#32604
STAT 134 108 - DIS 108 offered through Statistics

Concepts of Probability

Yang Chu
Aug 25, 2021 - Dec 10, 2021
Mo, We
12:00 pm - 12:59 pm
Evans 3
Class #:32604
Units:4

Instruction Mode: In-Person Instruction

Open Seats

3 Unreserved Seats

STAT 134 - DIS 108 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.
2021 Fall
#32603
STAT 134 107 - DIS 107 offered through Statistics

Concepts of Probability

Jordan Lekeufack Sopze
Aug 25, 2021 - Dec 10, 2021
Mo, We
04:00 pm - 04:59 pm
Evans 332
Class #:32603
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

STAT 134 - DIS 107 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.
2021 Fall
#23394
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Yang Chu
Aug 25, 2021 - Dec 10, 2021
Mo, We
10:00 am - 10:59 am
Dwinelle 79
Class #:23394
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

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.
2021 Fall
#23393
STAT 134 102 - DIS 102 offered through Statistics

Concepts of Probability

Jai Sankar
Aug 25, 2021 - Dec 10, 2021
Mo, We
09:00 am - 09:59 am
Evans 70
Class #:23393
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

Open Seats

2 Unreserved 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.
2021 Fall
#23392
STAT 134 101 - DIS 101 offered through Statistics

Concepts of Probability

Jai Sankar
Aug 25, 2021 - Dec 10, 2021
Mo, We
08:00 am - 08:59 am
Internet/Online
Class #:23392
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open 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.
2021 Fall
#23385
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Adam R Lucas
Aug 25, 2021 - Dec 10, 2021
Mo, We, Fr
11:00 am - 11:59 am
Internet/Online
Class #:23385
Units:4

Instruction Mode: Pending Review

Open Seats

17 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.
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