Probability

2022 Fall
#27869

Probability and Risk Analysis for Engineers

Rhonda Lee Righter
Aug 24, 2022 - Dec 09, 2022
Tu, Th
11:00 am - 12:29 pm

Instruction Mode: In-Person Instruction

Open Seats

INDENG 172 - LEC 001 Probability and Risk Analysis for Engineers more detail
This is an introductory course in probability designed to develop a good understanding of uncertain phenomena and the mathematical tools used to model and analyze it. Applications will be given in such areas as reliability theory, risk theory, inventory theory, financial models, and computer science, among others. To complement the theory, the course also covers the basics of stochastic simulation. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements.
2022 Fall
#28963

Probability and Random Processes

Aug 24, 2022 - Dec 09, 2022
We
12:00 pm - 12:59 pm

Instruction Mode: In-Person Instruction

No Open Seats
EECS 126 - DIS 202 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
#28089

Probability and Random Processes

Aug 24, 2022 - Dec 09, 2022
Fr
12:00 pm - 12:59 pm
Social Sciences Building 170

Instruction Mode: In-Person Instruction

No Open Seats
EECS 126 - DIS 204 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
#28088

Probability and Random Processes

Aug 24, 2022 - Dec 09, 2022
We
08:00 am - 08:59 am

Instruction Mode: In-Person Instruction

Open Seats

2 Unreserved Seats

EECS 126 - DIS 203 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
#28082

Probability and Random Processes

Kannan Ramchandran
Aug 24, 2022 - Dec 09, 2022
Tu, Th
12:30 pm - 01:59 pm

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 Summer Session C 8 weeks, June 21 - August 12
#13659

Concepts of Probability

Nicholas M Liskij
Jun 21, 2022 - Aug 12, 2022
Mo, Tu, We, Th
03:00 pm - 03:59 pm

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.
2022 Summer Session C 8 weeks, June 21 - August 12
#13658

Concepts of Probability

Nicholas M Liskij
Jun 21, 2022 - Aug 12, 2022
Mo, Tu, We, Th
04:00 pm - 04:59 pm

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.
2022 Summer Session C 8 weeks, June 21 - August 12
#13657

Concepts of Probability

Mriganka Basu Roy Chowdhury
Jun 21, 2022 - Aug 12, 2022
Mo, Tu, We, Th
03:00 pm - 03:59 pm

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.
2022 Summer Session C 8 weeks, June 21 - August 12
#13656

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

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.
Spring 2022
#26257

Concepts of Probability

Saptarshi Chakraborty
Jan 18, 2022 - May 06, 2022
Mo, We
03:00 pm - 03:59 pm

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.