Probability

2022 Fall
#28082
EECS 126 001 - LEC 001 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Kannan Ramchandran
Aug 24, 2022 - Dec 09, 2022
Tu, Th
12:30 pm - 01:59 pm
Birge 50
Class #:28082
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

Open Seats

1 Unreserved Seats

EECS 126 - LEC 001 Probability and Random Processes more detail
This course covers the fundamentals of probability and random processes useful in fields such as networks, communication, signal processing, and control. Sample space, events, probability law. Conditional probability. Independence. Random variables. Distribution, density functions. Random vectors. Law of large numbers. Central limit theorem. Estimation and detection. Markov chains.
2022 Fall
#25743
DATA C140 140S - SUP 140S offered through Data Science Undergraduate Studies

Probability for Data Science

Ophelia Wang
Aug 24, 2022 - Dec 09, 2022
Tu
11:00 am - 12:29 pm
Class #:25743
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

Open Seats

7 Unreserved Seats

DATA 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.
2022 Fall
#25742
DATA C140 999 - DIS 999 offered through Data Science Undergraduate Studies

Probability for Data Science

Class #:25742
Units:4

Instruction Mode: In-Person Instruction

Open Seats

299 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.
2022 Fall
#25741
DATA C140 001 - LEC 001 offered through Data Science Undergraduate Studies

Probability for Data Science

Ani Adhikari
Aug 24, 2022 - Dec 09, 2022
Tu, Th
02:00 pm - 03:29 pm
Haas Faculty Wing F295
Class #:25741
Units:4

Instruction Mode: In-Person Instruction

Open Seats

7 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.
2022 Summer Session C 8 weeks, June 21 - August 12
#13659
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Nicholas M Liskij
Jun 21, 2022 - Aug 12, 2022
Mo, Tu, We, Th
03:00 pm - 03:59 pm
Evans 330
Class #:13659
Units:4

Instruction Mode: In-Person Instruction

No Open 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
2022 Summer Session C 8 weeks, June 21 - August 12
#13658
STAT 134 102 - DIS 102 offered through Statistics

Concepts of Probability

Nicholas M Liskij
Jun 21, 2022 - Aug 12, 2022
Mo, Tu, We, Th
04:00 pm - 04:59 pm
Evans 344
Class #:13658
Units:4

Instruction Mode: In-Person Instruction

Open Seats

9 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
2022 Summer Session C 8 weeks, June 21 - August 12
#13657
STAT 134 101 - DIS 101 offered through Statistics

Concepts of Probability

Mriganka Basu Roy Chowdhury
Jun 21, 2022 - Aug 12, 2022
Mo, Tu, We, Th
03:00 pm - 03:59 pm
Evans 344
Class #:13657
Units:4

Instruction Mode: In-Person Instruction

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
2022 Summer Session C 8 weeks, June 21 - August 12
#13656
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Daniel Cyrus Raban, Mriganka Basu Roy Chowdhury
Jun 21, 2022 - Aug 12, 2022
Mo, Tu, We, Th
01:00 pm - 02:29 pm
Anthro/Art Practice Bldg 160
Class #:13656
Units:4

Instruction Mode: In-Person Instruction

Open Seats

14 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
Spring 2022
#26257
STAT 134 109 - DIS 109 offered through Statistics

Concepts of Probability

Saptarshi Chakraborty
Jan 18, 2022 - May 06, 2022
Mo, We
03:00 pm - 03:59 pm
Evans 9
Class #:26257
Units:4

Instruction Mode: In-Person Instruction

Open Seats

3 Unreserved 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.
Spring 2022
#26256
STAT 134 108 - DIS 108 offered through Statistics

Concepts of Probability

Saptarshi Chakraborty
Jan 18, 2022 - May 06, 2022
Mo, We
02:00 pm - 02:59 pm
Evans 3
Class #:26256
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.
Subscribe to Probability