Probability

2020 Fall
#23751
STAT 134 106 - DIS 106 offered through Statistics

Concepts of Probability

Yuting Ye
Aug 26, 2020 - Dec 11, 2020
Mo, We
10:00 am - 10:59 am
Internet/Online
Class #:23751
Units:4

Instruction Mode: Remote Instruction

Open Seats

3 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.
2020 Fall
#23750
STAT 134 105 - DIS 105 offered through Statistics

Concepts of Probability

Jacob S. Calvert
Aug 26, 2020 - Dec 11, 2020
Mo, We
10:00 am - 10:59 am
Internet/Online
Class #:23750
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

1 Unreserved 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.
2020 Fall
#23749
STAT 134 104 - DIS 104 offered through Statistics

Concepts of Probability

Feicheng Qi
Aug 26, 2020 - Dec 11, 2020
Mo, We
09:00 am - 09:59 am
Internet/Online
Class #:23749
Units:4

Instruction Mode: Remote 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.
2020 Fall
#23745
STAT 134 109 - DIS 109 offered through Statistics

Concepts of Probability

Sankar Srinivasan
Aug 26, 2020 - Dec 11, 2020
Mo, We
12:00 pm - 12:59 pm
Internet/Online
Class #:23745
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

6 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.
2020 Fall
#23744
STAT 134 108 - DIS 108 offered through Statistics

Concepts of Probability

Sankar Srinivasan
Aug 26, 2020 - Dec 11, 2020
Mo, We
11:00 am - 11:59 am
Internet/Online
Class #:23744
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

3 Unreserved 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.
2020 Fall
#23743
STAT 134 107 - DIS 107 offered through Statistics

Concepts of Probability

Jacob S. Calvert
Aug 26, 2020 - Dec 11, 2020
Mo, We
11:00 am - 11:59 am
Internet/Online
Class #:23743
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open 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.
2020 Fall
#23741
STAT 134 112 - DIS 112 offered through Statistics

Concepts of Probability

Class #:23741
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 134 - DIS 112 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.
2020 Fall
#23740
STAT 134 111 - DIS 111 offered through Statistics

Concepts of Probability

Class #:23740
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

No Open Seats
STAT 134 - DIS 111 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.
2020 Fall
#23739
STAT 134 110 - DIS 110 offered through Statistics

Concepts of Probability

Yuting Ye
Aug 26, 2020 - Dec 11, 2020
Mo, We
12:00 pm - 12:59 pm
Internet/Online
Class #:23739
Units:4

Instruction Mode: Remote Instruction

Time Conflict Enrollment Allowed

Open Seats

6 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.
2020 Fall
#34783
INDENG 172 103 - DIS 103 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Alexandra N Novales
Aug 26, 2020 - Dec 11, 2020
Fr
04:00 pm - 04:59 pm
Internet/Online
Class #:34783
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
INDENG 172 - DIS 103 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.
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