Probability

Spring 2021
#28796
EECS 126 207 - DIS 207 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Catherine Huang, Alan He, Aditya Rohan Sengupta, Clark Wang, Kevin Lin
Jan 19, 2021 - May 07, 2021
We
12:00 pm - 12:59 pm
Internet/Online
Class #:28796
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open 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.
Spring 2021
#28772
EECS 126 206 - DIS 206 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Catherine Huang, Alan He, Aditya Rohan Sengupta, Clark Wang, Kevin Lin
Jan 19, 2021 - May 07, 2021
Fr
10:00 am - 10:59 am
Internet/Online
Class #:28772
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open 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.
Spring 2021
#28720
EECS 126 205 - DIS 205 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Catherine Huang, Alan He, Aditya Rohan Sengupta, Kevin Lin, Clark Wang
Jan 19, 2021 - May 07, 2021
Fr
11:00 am - 11:59 am
Internet/Online
Class #:28720
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open 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.
Spring 2021
#28719
EECS 126 204 - DIS 204 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Catherine Huang, Alan He, Aditya Rohan Sengupta, Clark Wang, Kevin Lin
Jan 19, 2021 - May 07, 2021
We
04:00 pm - 04:59 pm
Internet/Online
Class #:28719
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open 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.
Spring 2021
#28634
EECS 126 203 - DIS 203 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Catherine Huang, Alan He, Aditya Rohan Sengupta, Kevin Lin, Clark Wang
Jan 19, 2021 - May 07, 2021
We
10:00 am - 10:59 am
Internet/Online
Class #:28634
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open Seats
EECS 126 - DIS 203 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 2021
#28633
EECS 126 202 - DIS 202 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Alan He, Catherine Huang, Clark Wang, Kevin Lin, Aditya Rohan Sengupta
Jan 19, 2021 - May 07, 2021
Fr
09:00 am - 09:59 am
Internet/Online
Class #:28633
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open 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.
Spring 2021
#28632
EECS 126 201 - DIS 201 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Aditya Rohan Sengupta, Kevin Lin, Clark Wang, Catherine Huang, Alan He
Jan 19, 2021 - May 07, 2021
We
09:00 am - 09:59 am
Internet/Online
Class #:28632
Units:4

Instruction Mode: Pending Review

Time Conflict Enrollment Allowed

No Open 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.
Spring 2021
#28631
EECS 126 001 - LEC 001 offered through Electrical Engineering and Computer Sciences

Probability and Random Processes

Thomas A Courtade
Jan 19, 2021 - May 07, 2021
Tu, Th
02:00 pm - 03:29 pm
Internet/Online
Class #:28631
Units:4

Instruction Mode: Pending Review

No Open 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.
Spring 2021
#33136
DATA C140 111S - SUP 111S offered through Data Science Undergraduate Studies

Probability for Data Science

Anna T Nguyen
Jan 19, 2021 - May 07, 2021
12:00 am
Internet/Online
Class #:33136
Units:4

Instruction Mode: Pending Review

No Open Seats
DATA C140 - SUP 111S Probability for Data Science more detail
An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
Spring 2021
#33119
DATA C140 999 - DIS 999 offered through Data Science Undergraduate Studies

Probability for Data Science

Anna T Nguyen, Ryan Roggenkemper, Huiyi Zhang, Dominic Liu, Xinran Liang, Syed Mohammad Shahzar Rizvi, Zihan Wen, Chandana Bhimarao, Eric Ortiz
Jan 19, 2021 - May 07, 2021
12:00 am
Internet/Online
Class #:33119
Units:4

Instruction Mode: Pending Review

No Open Seats
DATA C140 - DIS 999 Probability for Data Science more detail
An introduction to probability, emphasizing the combined use of mathematics and programming to solve problems. Random variables, discrete and continuous families of distributions. Bounds and approximations. Dependence, conditioning, Bayes methods. Convergence, Markov chains. Least squares prediction. Random permutations, symmetry, order statistics. Use of numerical computation, graphics, simulation, and computer algebra.
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