Probability

Spring 2025
#22836
STAT 134 105 - DIS 105 offered through Statistics

Concepts of Probability

Mriganka Basu Roy Chowdhury
Jan 21, 2025 - May 09, 2025
Mo, We
02:00 pm - 02:59 pm
Evans 344
Class #:22836
Units:4

Instruction Mode: In-Person Instruction

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.
Spring 2025
#22835
STAT 134 104 - DIS 104 offered through Statistics

Concepts of Probability

Ruiqi Zhang
Jan 21, 2025 - May 09, 2025
Mo, We
01:00 pm - 01:59 pm
Social Sciences Building 56
Class #:22835
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.
Spring 2025
#22834
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Mriganka Basu Roy Chowdhury
Jan 21, 2025 - May 09, 2025
Mo, We
01:00 pm - 01:59 pm
Evans 344
Class #:22834
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 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.
Spring 2025
#22833
STAT 134 102 - DIS 102 offered through Statistics

Concepts of Probability

Ruiqi Zhang
Jan 21, 2025 - May 09, 2025
Mo, We
12:00 pm - 12:59 pm
Social Sciences Building 56
Class #:22833
Units:4

Instruction Mode: In-Person Instruction

Open Seats

2 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.
Spring 2025
#22832
STAT 134 101 - DIS 101 offered through Statistics

Concepts of Probability

Yiyi Huo
Jan 21, 2025 - May 09, 2025
Mo, We
12:00 pm - 12:59 pm
Evans 344
Class #:22832
Units:4

Instruction Mode: In-Person Instruction

Open Seats

2 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.
Spring 2025
#22831
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Adam R Lucas
Jan 21, 2025 - May 09, 2025
Mo, We, Fr
10:00 am - 10:59 am
Dwinelle 155
Class #:22831
Units:4

Instruction Mode: In-Person Instruction

Open 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 2025
#29359
INDENG 172 101 - DIS 101 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Runhan Xie, William Yan
Jan 21, 2025 - May 09, 2025
Fr
02:00 pm - 02:59 pm
Social Sciences Building 20
Class #:29359
Units:4

Instruction Mode: In-Person Instruction

Open Seats

6 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.
Spring 2025
#29358
INDENG 172 1 - LEC 1 offered through Industrial Engineering and Operations Research

Probability and Risk Analysis for Engineers

Daniel Pirutinsky
Jan 21, 2025 - May 09, 2025
Tu, Th
03:30 pm - 04:59 pm
Cory 277
Class #:29358
Units:4

Instruction Mode: In-Person Instruction

Open Seats

INDENG 172 - LEC 1 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.
Spring 2025
#29530
EECS 126 999 - DIS 999 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Jan 21, 2025 - May 09, 2025
12:00 am
Class #:29530
Units:4

Instruction Mode: In-Person Instruction

Open Seats

40 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.
Spring 2025
#29277
EECS 126 108D - DIS 108D offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Jan 21, 2025 - May 09, 2025
Th
08:00 am - 08:59 am
Cory 540AB
Class #:29277
Units:4

Instruction Mode: In-Person Instruction

Time Conflict Enrollment Allowed

No Open Seats
EECS 126 - DIS 108D 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.
Subscribe to Probability