Probability

Spring 2021
#24202
STAT 134 110 - DIS 110 offered through Statistics

Concepts of Probability

Zhiyi You
Jan 19, 2021 - May 07, 2021
Mo, We
05:00 pm - 05:59 pm
Internet/Online
Class #:24202
Units:4

Instruction Mode: Pending Review

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 2021
#24199
STAT 134 107 - DIS 107 offered through Statistics

Concepts of Probability

Tae Joo Ahn
Jan 19, 2021 - May 07, 2021
Mo, We
04:00 pm - 04:59 pm
Internet/Online
Class #:24199
Units:4

Instruction Mode: Pending Review

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 2021
#24198
STAT 134 106 - DIS 106 offered through Statistics

Concepts of Probability

Yassine El Maazouz
Jan 19, 2021 - May 07, 2021
Mo, We
03:00 pm - 03:59 pm
Internet/Online
Class #:24198
Units:4

Instruction Mode: Pending Review

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 2021
#24197
STAT 134 105 - DIS 105 offered through Statistics

Concepts of Probability

Nikhil Ghosh
Jan 19, 2021 - May 07, 2021
Mo, We
03:00 pm - 03:59 pm
Internet/Online
Class #:24197
Units:4

Instruction Mode: Pending Review

No Open 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 2021
#24196
STAT 134 104 - DIS 104 offered through Statistics

Concepts of Probability

Jacob S. Calvert
Jan 19, 2021 - May 07, 2021
Mo, We
02:00 pm - 02:59 pm
Internet/Online
Class #:24196
Units:4

Instruction Mode: Pending Review

No Open 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.
Spring 2021
#24195
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Nikhil Ghosh
Jan 19, 2021 - May 07, 2021
Mo, We
02:00 pm - 02:59 pm
Internet/Online
Class #:24195
Units:4

Instruction Mode: Pending Review

Open Seats

4 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.
Spring 2021
#24194
STAT 134 102 - DIS 102 offered through Statistics

Concepts of Probability

Jacob S. Calvert
Jan 19, 2021 - May 07, 2021
Mo, We
01:00 pm - 01:59 pm
Internet/Online
Class #:24194
Units:4

Instruction Mode: Pending Review

No Open 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.
Spring 2021
#24193
STAT 134 101 - DIS 101 offered through Statistics

Concepts of Probability

Yassine El Maazouz
Jan 19, 2021 - May 07, 2021
Mo, We
01:00 pm - 01:59 pm
Internet/Online
Class #:24193
Units:4

Instruction Mode: Pending Review

Open Seats

1 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.
Spring 2021
#24192
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Adam R Lucas
Jan 19, 2021 - May 07, 2021
Mo, We, Fr
11:00 am - 11:59 am
Internet/Online
Class #:24192
Units:4

Instruction Mode: Pending Review

Asynchronous Instruction

Open Seats

8 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.
Spring 2021
#29285
EECS 126 208 - DIS 208 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Catherine Huang, Alan He, Aditya Rohan Sengupta, Kevin Lin, Clark Wang
Jan 19, 2021 - May 07, 2021
Fr
03:30 pm - 04:29 pm
Internet/Online
Class #:29285
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open Seats
EECS 126 - DIS 208 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.
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