Probability

2025 Fall
#22842
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Andrea Massari
Aug 27, 2025 - Dec 12, 2025
Mo, We, Fr
11:00 am - 11:59 am
Dwinelle 155
Class #:22842
Units:4

Instruction Mode: In-Person Instruction

Open Seats

15 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.
2025 Fall
#22840
STAT 134 106 - DIS 106 offered through Statistics

Concepts of Probability

Aug 27, 2025 - Dec 12, 2025
Tu, Th
12:00 pm - 12:59 pm
Evans 332
Class #:22840
Units:4

Instruction Mode: In-Person Instruction

Open Seats

13 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.
2025 Fall
#22839
STAT 134 105 - DIS 105 offered through Statistics

Concepts of Probability

Aug 27, 2025 - Dec 12, 2025
Tu, Th
12:00 pm - 12:59 pm
Evans 344
Class #:22839
Units:4

Instruction Mode: In-Person Instruction

Open Seats

7 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.
2025 Fall
#22838
STAT 134 104 - DIS 104 offered through Statistics

Concepts of Probability

Aug 27, 2025 - Dec 12, 2025
Tu, Th
11:00 am - 11:59 am
Evans 332
Class #:22838
Units:4

Instruction Mode: In-Person Instruction

No Open 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.
2025 Fall
#29121
INDENG 172 102 - DIS 102 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Aug 27, 2025 - Dec 12, 2025
Fr
08:00 am - 08:59 am
Mulford 240
Class #:29121
Units:4

Instruction Mode: In-Person Instruction

Open Seats

35 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. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements.
2025 Fall
#29120
INDENG 172 101 - DIS 101 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Aug 27, 2025 - Dec 12, 2025
Fr
12:00 pm - 12:59 pm
Etcheverry 3106
Class #:29120
Units:4

Instruction Mode: In-Person Instruction

Open Seats

22 Unreserved 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. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements.
2025 Fall
#29119
INDENG 172 001 - LEC 001 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Daniel Pirutinsky
Aug 27, 2025 - Dec 12, 2025
Tu, Th
11:00 am - 12:29 pm
Valley Life Sciences 2040
Class #:29119
Units:4

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. This course is a probability course and cannot be used to fulfill any engineering unit or elective requirements.
2025 Fall
#30117
EECS 126 999 - DIS 999 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 27, 2025 - Dec 12, 2025
12:00 am
Class #:30117
Units:4

Instruction Mode: In-Person Instruction

Open Seats

51 Unreserved Seats

EECS 126 - DIS 999 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.
2025 Fall
#29784
EECS 126 102D - DIS 102D offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 27, 2025 - Dec 12, 2025
We
09:00 am - 09:59 am
Cory 241
Class #:29784
Units:4

Instruction Mode: In-Person Instruction

Open Seats

50 Unreserved Seats

EECS 126 - DIS 102D 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.
2025 Fall
#29293
EECS 126 104D - DIS 104D offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aug 27, 2025 - Dec 12, 2025
Fr
08:00 am - 08:59 am
Lewis 9
Class #:29293
Units:4

Instruction Mode: In-Person Instruction

Open Seats

57 Unreserved Seats

EECS 126 - DIS 104D 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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