Probability

Spring 2022
#29732
STAT C140 999 - DIS 999 offered through Statistics

Probability for Data Science

Jan 18, 2022 - May 06, 2022
12:00 am
Class #:29732
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.
Spring 2022
#29727
STAT C140 111S - SUP 111S offered through Statistics

Probability for Data Science

Jan 18, 2022 - May 06, 2022
12:00 am
Class #:29727
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT 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
#29696
STAT C140 001 - LEC 001 offered through Statistics

Probability for Data Science

Ani Adhikari
Jan 18, 2022 - May 06, 2022
Tu, Th
05:00 pm - 06:29 pm
Dwinelle 155
Class #:29696
Units:4

Instruction Mode: In-Person Instruction

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.
Spring 2022
#28268
STAT 134 112 - DIS 112 offered through Statistics

Concepts of Probability

Nicholas M Liskij
Jan 18, 2022 - May 06, 2022
Mo, We
04:00 pm - 04:59 pm
Evans 9
Class #:28268
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

STAT 134 - DIS 112 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
#28267
STAT 134 111 - DIS 111 offered through Statistics

Concepts of Probability

Daniel Cyrus Raban
Jan 18, 2022 - May 06, 2022
Mo, We
04:00 pm - 04:59 pm
Wheeler 220
Class #:28267
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT 134 - DIS 111 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
#26258
STAT 134 110 - DIS 110 offered through Statistics

Concepts of Probability

Daniel Cyrus Raban
Jan 18, 2022 - May 06, 2022
Mo, We
03:00 pm - 03:59 pm
Hearst Gym 242
Class #:26258
Units:4

Instruction Mode: In-Person Instruction

No Open 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.
Spring 2022
#26255
STAT 134 107 - DIS 107 offered through Statistics

Concepts of Probability

Dohyeong Ki
Jan 18, 2022 - May 06, 2022
Mo, We
02:00 pm - 02:59 pm
Evans 9
Class #:26255
Units:4

Instruction Mode: In-Person Instruction

Open Seats

2 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.
Spring 2022
#26254
STAT 134 106 - DIS 106 offered through Statistics

Concepts of Probability

Nicholas M Liskij
Jan 18, 2022 - May 06, 2022
Mo, We
01:00 pm - 01:59 pm
Wheeler 202
Class #:26254
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

STAT 134 - DIS 106 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
#26253
STAT 134 105 - DIS 105 offered through Statistics

Concepts of Probability

Dohyeong Ki
Jan 18, 2022 - May 06, 2022
Mo, We
01:00 pm - 01:59 pm
Wheeler 130
Class #:26253
Units:4

Instruction Mode: In-Person Instruction

Open Seats

3 Unreserved Seats

STAT 134 - DIS 105 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
#26252
STAT 134 104 - DIS 104 offered through Statistics

Concepts of Probability

Yang Chu
Jan 18, 2022 - May 06, 2022
Mo, We
05:00 pm - 05:59 pm
Evans 332
Class #:26252
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 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.
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