Statistics Prerequisite

2022 Fall
#26271
STAT 134 107 - DIS 107 offered through Statistics

Concepts of Probability

Yassine El Maazouz
Aug 24, 2022 - Dec 09, 2022
Mo, We
04:00 pm - 04:59 pm
Evans 334
Class #:26271
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved 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.
2022 Fall
#23000
STAT 134 103 - DIS 103 offered through Statistics

Concepts of Probability

Nicholas M Liskij
Aug 24, 2022 - Dec 09, 2022
Mo, We
02:00 pm - 02:59 pm
Evans 9
Class #:23000
Units:4

Instruction Mode: In-Person Instruction

Open Seats

3 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.
2022 Fall
#22999
STAT 134 102 - DIS 102 offered through Statistics

Concepts of Probability

Seunghoon Paik
Aug 24, 2022 - Dec 09, 2022
Mo, We
11:00 am - 11:59 am
Evans 342
Class #:22999
Units:4

Instruction Mode: In-Person Instruction

No Open 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.
2022 Fall
#22998
STAT 134 101 - DIS 101 offered through Statistics

Concepts of Probability

Nicholas M Liskij
Aug 24, 2022 - Dec 09, 2022
Mo, We
11:00 am - 11:59 am
Evans 334
Class #:22998
Units:4

Instruction Mode: In-Person Instruction

No Open 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.
2022 Fall
#22991
STAT 134 001 - LEC 001 offered through Statistics

Concepts of Probability

Adam R Lucas
Aug 24, 2022 - Dec 09, 2022
Mo, We, Fr
09:00 am - 09:59 am
Valley Life Sciences 2050
Class #:22991
Units:4

Instruction Mode: In-Person Instruction

Open Seats

18 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.
2022 Fall
#22988
STAT 134 106 - DIS 106 offered through Statistics

Concepts of Probability

Daniel Cyrus Raban
Aug 24, 2022 - Dec 09, 2022
Mo, We
03:00 pm - 03:59 pm
Evans 70
Class #:22988
Units:4

Instruction Mode: In-Person Instruction

Open Seats

2 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.
2022 Fall
#22987
STAT 134 105 - DIS 105 offered through Statistics

Concepts of Probability

Daniel Cyrus Raban
Aug 24, 2022 - Dec 09, 2022
Mo, We
02:00 pm - 02:59 pm
Evans 332
Class #:22987
Units:4

Instruction Mode: In-Person Instruction

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.
2022 Fall
#22986
STAT 134 104 - DIS 104 offered through Statistics

Concepts of Probability

Seunghoon Paik
Aug 24, 2022 - Dec 09, 2022
Mo, We
01:00 pm - 01:59 pm
Evans 332
Class #:22986
Units:4

Instruction Mode: In-Person Instruction

Open Seats

4 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.
2022 Fall
#25656
STAT C131A 102 - LAB 102 offered through Statistics

Statistical Methods for Data Science

Jeremy Goldwasser
Aug 24, 2022 - Dec 09, 2022
Mo, We
03:00 pm - 03:59 pm
Evans 332
Class #:25656
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C131A - LAB 102 Statistical Methods for Data Science more detail
This course teaches a broad range of statistical methods that are used to solve data problems. Topics include group comparisons and ANOVA, standard parametric statistical models, multivariate data visualization, multiple linear regression, logistic regression and classification, regression trees and random forests. An important focus of the course is on statistical computing and reproducible statistical analysis. The course and lab include hands-on experience in analyzing real world data from the social, life, and physical sciences. The R statistical language is used.
2022 Fall
#25655
STAT C131A 101 - LAB 101 offered through Statistics

Statistical Methods for Data Science

Jeremy Goldwasser
Aug 24, 2022 - Dec 09, 2022
Mo, We
11:00 am - 11:59 am
Evans 332
Class #:25655
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1 Unreserved Seats

STAT C131A - LAB 101 Statistical Methods for Data Science more detail
This course teaches a broad range of statistical methods that are used to solve data problems. Topics include group comparisons and ANOVA, standard parametric statistical models, multivariate data visualization, multiple linear regression, logistic regression and classification, regression trees and random forests. An important focus of the course is on statistical computing and reproducible statistical analysis. The course and lab include hands-on experience in analyzing real world data from the social, life, and physical sciences. The R statistical language is used.
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