Statistics Prerequisite

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

10 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

Open Seats

1 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.
2025 Fall
#24650
STAT C131A 102 - LAB 102 offered through Statistics

Statistical Methods for Data Science

Aug 27, 2025 - Dec 12, 2025
Tu, Th
02:00 pm - 03:00 pm
Evans 340
Class #:24650
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.
2025 Fall
#24649
STAT C131A 101 - LAB 101 offered through Statistics

Statistical Methods for Data Science

Aug 27, 2025 - Dec 12, 2025
Tu, Th
10:00 am - 11:00 am
Evans 340
Class #:24649
Units:4

Instruction Mode: In-Person Instruction

No Open 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.
2025 Fall
#24648
STAT C131A 001 - LEC 001 offered through Statistics

Statistical Methods for Data Science

Shobhana Murali Stoyanov
Aug 27, 2025 - Dec 12, 2025
Tu, Th
08:00 am - 09:29 am
Barker 101
Class #:24648
Units:4

Instruction Mode: In-Person Instruction

No Open Seats
STAT C131A - LEC 001 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.
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

33 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
#25612
DATA C8 999L - LAB 999L offered through Data Science Undergraduate Studies

Foundations of Data Science

Aug 27, 2025 - Dec 12, 2025
12:00 am
Class #:25612
Units:4

Instruction Mode: In-Person Instruction

Open Seats

1177 Unreserved Seats

DATA C8 - LAB 999L Foundations of Data Science more detail
Foundations of data science from three perspectives: inferential thinking, computational thinking, and real-world relevance. Given data arising from some real-world phenomenon, how does one analyze that data so as to understand that phenomenon? The course teaches critical concepts and skills in computer programming and statistical inference, in conjunction with hands-on analysis of real-world datasets, including economic data, document collections, geographical data, and social networks. It delves into social and legal issues surrounding data analysis, including issues of privacy and data ownership.
Subscribe to Statistics Prerequisite