Probability

Spring 2021
#33114
DATA C140 001 - LEC 001 offered through Data Science Undergraduate Studies

Probability for Data Science

Ani Adhikari
Jan 19, 2021 - May 07, 2021
Tu, Th
11:00 am - 12:29 pm
Internet/Online
Class #:33114
Units:4

Instruction Mode: Pending Review

No Open 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
#13848
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Do Hai Ninh
Jun 21, 2021 - Aug 13, 2021
Mo, Tu, We, Th
12:00 pm - 12:59 pm
Internet/Online
Class #:13848
Units:4

Instruction Mode: Pending Review

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.
How to apply
2021 Summer Session C 8 weeks, June 21 - August 13
#13847
STAT 134 102 - DIS 102 offered through Statistics

Concepts of Probability

Saptarshi Chakraborty
Jun 21, 2021 - Aug 13, 2021
Mo, Tu, We, Th
07:00 pm - 07:59 pm
Internet/Online
Class #:13847
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

Open Seats

5 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.
How to apply
2021 Summer Session C 8 weeks, June 21 - August 13
#13846
STAT 134 101 - DIS 101 offered through Statistics

Concepts of Probability

Saptarshi Chakraborty
Jun 21, 2021 - Aug 13, 2021
Mo, Tu, We, Th
09:00 am - 09:59 am
Internet/Online
Class #:13846
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

Open Seats

5 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.
How to apply
2021 Summer Session C 8 weeks, June 21 - August 13
#13845
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Fletcher H Ibser
Jun 21, 2021 - Aug 13, 2021
Mo, Tu, We, Th
01:00 pm - 02:29 pm
Internet/Online
Class #:13845
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

Open Seats

27 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.
How to apply
2020 Fall
#26434
STAT 140 110 - DIS 110 offered through Statistics

Probability for Data Science

Aug 26, 2020 - Dec 11, 2020
We, Fr
02:00 pm - 02:59 pm
Evans 340
Class #:26434
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 140 - DIS 110 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
#26433
STAT 140 109 - DIS 109 offered through Statistics

Probability for Data Science

Aug 26, 2020 - Dec 11, 2020
We, Fr
01:00 pm - 01:59 pm
Evans 340
Class #:26433
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

1 Unreserved Seats

STAT 140 - DIS 109 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
#25239
STAT 140 108 - DIS 108 offered through Statistics

Probability for Data Science

Aug 26, 2020 - Dec 11, 2020
We, Fr
04:00 pm - 04:59 pm
Evans 330
Class #:25239
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 140 - DIS 108 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
#25238
STAT 140 107 - DIS 107 offered through Statistics

Probability for Data Science

Xinran Liang
Aug 26, 2020 - Dec 11, 2020
We, Fr
03:00 pm - 03:59 pm
Evans 330
Class #:25238
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

1 Unreserved Seats

STAT 140 - DIS 107 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
#25237
STAT 140 106 - DIS 106 offered through Statistics

Probability for Data Science

Huiyi Zhang
Aug 26, 2020 - Dec 11, 2020
We, Fr
02:00 pm - 02:59 pm
Evans 330
Class #:25237
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 140 - DIS 106 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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