Probability

2021 Fall
#23380
STAT 134 105 - DIS 105 offered through Statistics

Concepts of Probability

Jordan Lekeufack Sopze
Aug 25, 2021 - Dec 10, 2021
Mo, We
10:00 am - 10:59 am
Evans 70
Class #:23380
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

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.
2021 Fall
#23379
STAT 134 104 - DIS 104 offered through Statistics

Concepts of Probability

Zhiyi You
Aug 25, 2021 - Dec 10, 2021
Mo, We
10:00 am - 10:59 am
Haviland 12
Class #:23379
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

Open Seats

2 Unreserved 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.
2021 Fall
#27933
INDENG 172 102 - DIS 102 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Madison K Mikschl
Aug 25, 2021 - Dec 10, 2021
Fr
05:00 pm - 05:59 pm
Etcheverry 3106
Class #:27933
Units:4

Instruction Mode: In-Person Instruction

Open Seats

6 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.
2021 Fall
#27932
INDENG 172 101 - DIS 101 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Madison K Mikschl
Aug 25, 2021 - Dec 10, 2021
Fr
04:00 pm - 04:59 pm
Etcheverry 3108
Class #:27932
Units:4

Instruction Mode: In-Person 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.
2021 Fall
#27931
INDENG 172 001 - LEC 001 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Rhonda Lee Righter
Aug 25, 2021 - Dec 10, 2021
Tu, Th
11:00 am - 12:29 pm
Cory 277
Class #:27931
Units:4

Instruction Mode: In-Person Instruction

No 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.
2021 Fall
#28854
EECS 126 207 - DIS 207 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 25, 2021 - Dec 10, 2021
Fr
12:00 pm - 12:59 pm
Wheeler 120
Class #:28854
Units:4

Instruction Mode: In-Person Instruction

Open Seats

2 Unreserved Seats

EECS 126 - DIS 207 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.
2021 Fall
#28369
EECS 126 206 - DIS 206 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 25, 2021 - Dec 10, 2021
We
04:00 pm - 04:59 pm
Wheeler 120
Class #:28369
Units:4

Instruction Mode: In-Person Instruction

Open Seats

6 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.
2021 Fall
#32696
EECS 126 205 - DIS 205 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 25, 2021 - Dec 10, 2021
Th
08:00 am - 08:59 am
Internet/Online
Class #:32696
Units:4

Instruction Mode: Pending Review

Open Seats

2 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.
2021 Fall
#32695
EECS 126 202 - DIS 202 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 25, 2021 - Dec 10, 2021
Mo
08:00 am - 08:59 am
Internet/Online
Class #:32695
Units:4

Instruction Mode: Pending Review

Open Seats

6 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.
2021 Fall
#28170
EECS 126 201 - DIS 201 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 25, 2021 - Dec 10, 2021
Mo
02:00 pm - 02:59 pm
Wheeler 120
Class #:28170
Units:4

Instruction Mode: In-Person Instruction

Open Seats

3 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.
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