Probability

2020 Fall
#25236
STAT 140 105 - DIS 105 offered through Statistics

Probability for Data Science

Shahzar Mohammad Shahzar Rizvi
Aug 26, 2020 - Dec 11, 2020
We, Fr
01:00 pm - 01:59 pm
Evans 330
Class #:25236
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 140 - DIS 105 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.
2020 Fall
#25235
STAT 140 104 - DIS 104 offered through Statistics

Probability for Data Science

Ophelia Wang
Aug 26, 2020 - Dec 11, 2020
We, Fr
12:00 pm - 12:59 pm
Evans 330
Class #:25235
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 140 - DIS 104 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.
2020 Fall
#25234
STAT 140 103 - DIS 103 offered through Statistics

Probability for Data Science

Rahul Jain
Aug 26, 2020 - Dec 11, 2020
We, Fr
11:00 am - 11:59 am
Evans 330
Class #:25234
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

2 Unreserved Seats

STAT 140 - DIS 103 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.
2020 Fall
#25233
STAT 140 102 - DIS 102 offered through Statistics

Probability for Data Science

Ryan Alan Roggenkemper
Aug 26, 2020 - Dec 11, 2020
We, Fr
10:00 am - 10:59 am
Evans 330
Class #:25233
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 140 - DIS 102 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.
2020 Fall
#25232
STAT 140 101 - DIS 101 offered through Statistics

Probability for Data Science

Anna Thuy Nhu Nguyen
Aug 26, 2020 - Dec 11, 2020
We, Fr
09:00 am - 09:59 am
Evans 330
Class #:25232
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

1 Unreserved Seats

STAT 140 - DIS 101 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.
2020 Fall
#25231
STAT 140 001 - LEC 001 offered through Statistics

Probability for Data Science

Anindita Adhikari
Aug 26, 2020 - Dec 11, 2020
Tu, Th
12:30 pm - 01:59 pm
Internet/Online
Class #:25231
Units:4

Instruction Mode: Remote Instruction

Open Seats

STAT 140 - 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.
2020 Fall
#23764
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Zhiyi You
Aug 26, 2020 - Dec 11, 2020
Mo, We
09:00 am - 09:59 am
Internet/Online
Class #:23764
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

1 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.
2020 Fall
#23763
STAT 134 102 - DIS 102 offered through Statistics

Concepts of Probability

Zhiyi You
Aug 26, 2020 - Dec 11, 2020
Mo, We
08:00 am - 08:59 am
Internet/Online
Class #:23763
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

1 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.
2020 Fall
#23762
STAT 134 101 - DIS 101 offered through Statistics

Concepts of Probability

Feicheng Qi
Aug 26, 2020 - Dec 11, 2020
Mo, We
08:00 am - 08:59 am
Internet/Online
Class #:23762
Units:4

Instruction Mode: Remote Instruction

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.
2020 Fall
#23755
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Adam R. Lucas
Aug 26, 2020 - Dec 11, 2020
Mo, We, Fr
01:00 pm - 01:59 pm
Internet/Online
Class #:23755
Units:4

Instruction Mode: Remote Instruction

Open Seats

23 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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