Probability

ELENG 126 (1994-08-16 - 1999-01-12)

Probability, joint, conditional. Statistical independence. Random variables, discrete and continuous. Distribution, density functions. Operations on a random variable, expectation, moments, characteristic functions. Law of Large Numbers. Central Limit Theorem. Random processes, wide-sense stationarity. Spectral characteristics of random processes. Gaussian, Poisson, and Markov processes. Queueing, Birth-Death processes.

ELENG 126 (2015-08-19 - 2020-01-14)

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.

ELENG 126 (1999-01-12 - 2015-08-19)

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
#26274

Concepts of Probability

Yassine El Maazouz
Aug 24, 2022 - Dec 09, 2022
Mo, We
05:00 pm - 05:59 pm

Instruction Mode: In-Person Instruction

Open Seats

4 Unreserved 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.
2022 Fall
#26273

Concepts of Probability

Jai Sankar
Aug 24, 2022 - Dec 09, 2022
Mo, We
05:00 pm - 05:59 pm

Instruction Mode: In-Person Instruction

Open Seats

4 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.
2022 Fall
#26272

Concepts of Probability

Jai Sankar
Aug 24, 2022 - Dec 09, 2022
Mo, We
04:00 pm - 04:59 pm

Instruction Mode: In-Person Instruction

No Open 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.
2022 Fall
#26271

Concepts of Probability

Yassine El Maazouz
Aug 24, 2022 - Dec 09, 2022
Mo, We
04:00 pm - 04:59 pm

Instruction Mode: In-Person Instruction

Open Seats

1 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.
2022 Fall
#23000

Concepts of Probability

Nicholas M Liskij
Aug 24, 2022 - Dec 09, 2022
Mo, We
02:00 pm - 02:59 pm

Instruction Mode: In-Person Instruction

Open Seats

3 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.
2022 Fall
#22999

Concepts of Probability

Seunghoon Paik
Aug 24, 2022 - Dec 09, 2022
Mo, We
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

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.
2022 Fall
#22998

Concepts of Probability

Nicholas M Liskij
Aug 24, 2022 - Dec 09, 2022
Mo, We
11:00 am - 11:59 am

Instruction Mode: In-Person Instruction

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.