Probability

2020 Fall
#27890
INDENG 172 102 - DIS 102 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Eddi Xu
Aug 26, 2020 - Dec 11, 2020
Fr
05:00 pm - 05:59 pm
Internet/Online
Class #:27890
Units:4

Instruction Mode: Remote Instruction

Open Seats

2 Unreserved Seats

INDENG 172 - DIS 102 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.
2020 Fall
#27889
INDENG 172 101 - DIS 101 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Ruijie Zhou
Aug 26, 2020 - Dec 11, 2020
Fr
04:00 pm - 04:59 pm
Internet/Online
Class #:27889
Units:4

Instruction Mode: Remote Instruction

No Open Seats
INDENG 172 - DIS 101 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.
2020 Fall
#27888
INDENG 172 001 - LEC 001 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Daniel Pirutinsky
Aug 26, 2020 - Dec 11, 2020
Tu, Th
11:00 am - 12:29 pm
Internet/Online
Class #:27888
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

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.
2020 Fall
#28495
EECS 126 206 - DIS 206 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 26, 2020 - Dec 11, 2020
We
04:00 pm - 04:59 pm
Internet/Online
Class #:28495
Units:4

Instruction Mode: Remote Instruction

Open Seats

9 Unreserved Seats

EECS 126 - DIS 206 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.
2020 Fall
#28494
EECS 126 205 - DIS 205 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 26, 2020 - Dec 11, 2020
We
03:00 pm - 03:59 pm
Internet/Online
Class #:28494
Units:4

Instruction Mode: Remote Instruction

Open Seats

15 Unreserved Seats

EECS 126 - DIS 205 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.
2020 Fall
#28226
EECS 126 204 - DIS 204 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 26, 2020 - Dec 11, 2020
We
02:00 pm - 02:59 pm
Requested General Assignment
Class #:28226
Units:4

Instruction Mode: Remote Instruction

Open Seats

13 Unreserved 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.
2020 Fall
#28224
EECS 126 202 - DIS 202 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 26, 2020 - Dec 11, 2020
Mo
03:00 pm - 03:59 pm
Internet/Online
Class #:28224
Units:4

Instruction Mode: Remote Instruction

Open Seats

12 Unreserved 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.
2020 Fall
#28223
EECS 126 201 - DIS 201 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 26, 2020 - Dec 11, 2020
Mo
02:00 pm - 02:59 pm
Requested General Assignment
Class #:28223
Units:4

Instruction Mode: Remote Instruction

Open Seats

10 Unreserved Seats

EECS 126 - DIS 201 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.
2020 Fall
#28218
EECS 126 001 - LEC 001 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Shyam Pramod Parekh
Aug 26, 2020 - Dec 11, 2020
Tu, Th
11:00 am - 12:29 pm
Internet/Online
Class #:28218
Units:4

Instruction Mode: Flex--See class note details

Time Conflict Enrollment Allowed

Open Seats

50 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.
2020 Summer Session C 8 weeks, June 22 - August 14
#12476
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Ella Veronika Hiesmayr
Jun 22, 2020 - Aug 14, 2020
Mo, Tu, We, Th
12:00 pm - 12:59 pm
Internet/Online
Class #:12476
Units:4

Open Seats

9 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.
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