Probability

2021 Fall
#28170

Probability and Random Processes

Aug 25, 2021 - Dec 10, 2021
Mo
02:00 pm - 02:59 pm

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.
2021 Fall
#28165

Probability and Random Processes

Shyam Parekh
Aug 25, 2021 - Dec 10, 2021
Tu, Th
05:00 pm - 06:29 pm

Instruction Mode: In-Person Instruction

Open Seats

16 Unreserved 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.
2021 Fall
#30972
DATA C140 140S - SUP 140S offered through Data Science Undergraduate Studies

Probability for Data Science

Instruction Mode: Pending Review

Open Seats

168 Unreserved Seats

DATA C140 - SUP 140S 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.
2021 Fall
#30971
DATA C140 999 - DIS 999 offered through Data Science Undergraduate Studies

Probability for Data Science

Instruction Mode: Pending Review

Open Seats

26 Unreserved 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.
2021 Fall
#30970
DATA C140 001 - LEC 001 offered through Data Science Undergraduate Studies

Probability for Data Science

Swupnil K Sahai
Aug 25, 2021 - Dec 10, 2021
Tu, Th
12:30 pm - 01:59 pm
Internet/Online

Instruction Mode: Pending Review

Open Seats

26 Unreserved Seats

DATA C140 - LEC 001 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
#33137

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

Instruction Mode: Pending Review

Open Seats

13 Unreserved Seats

STAT 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.
Spring 2021
#33132

Probability for Data Science

Anna T Nguyen
Jan 19, 2021 - May 07, 2021
12:00 am
Internet/Online

Instruction Mode: Pending Review

Open Seats

18 Unreserved Seats

STAT 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
#33100

Probability for Data Science

Ani Adhikari
Jan 19, 2021 - May 07, 2021
Tu, Th
11:00 am - 12:29 pm
Internet/Online

Instruction Mode: Pending Review

Open Seats

13 Unreserved Seats

STAT C140 - LEC 001 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
#26913

Concepts of Probability

Zhiyi You
Jan 19, 2021 - May 07, 2021
Mo, We
06:00 pm - 06:59 pm
Internet/Online

Instruction Mode: Pending Review

Open Seats

1 Unreserved 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.
Spring 2021
#26912

Concepts of Probability

Tae Joo Ahn
Jan 19, 2021 - May 07, 2021
Mo, We
06:00 pm - 06:59 pm
Internet/Online

Instruction Mode: Pending Review

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.