Courses
2020 Spring STAT 150 001 LEC 001 - Stochastic Processes
Random walks, discrete time Markov chains, Poisson processes. Further topics such as: continuous time Markov chains, queueing theory, point processes, branching processes, renewal theory, stationary processes, Gaussian processes.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 73 | 72 | 0 |
2020 Spring STAT 151A 001 LEC 001 - Linear Modelling: Theory and Applications
A coordinated treatment of linear and generalized linear models and their application. Linear regression, analysis of variance and covariance, random effects, design and analysis of experiments, quality improvement, log-linear models for discrete multivariate data, model selection, robustness, graphical techniques, productive use of computers, in-depth case studies.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 140 | 95 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
21922 | LAB 151 | Fr 9:00am - 10:59am | Evans 332 | 4 | 35/25/0 |
21923 | LAB 151 | Fr 11:00am - 12:59pm | Evans 332 | 4 | 35/29/0 |
22601 | LAB 151 | Fr 1:00pm - 2:59pm | Evans 332 | 4 | 35/21/0 |
22602 | LAB 151 | Fr 3:00pm - 4:59pm | Evans 332 | 4 | 35/20/0 |
2020 Spring STAT 152 001 LEC 001 - Sampling Surveys
Theory and practice of sampling from finite populations. Simple random, stratified, cluster, and double sampling. Sampling with unequal probabilities. Properties of various estimators including ratio, regression, and difference estimators. Error estimation for complex samples.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 70 | 53 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
21925 | LAB 152 | Mo 1:00pm - 2:59pm | Evans 340 | 4 | 35/30/0 |
21926 | LAB 152 | Mo 3:00pm - 4:59pm | Evans 340 | 4 | 35/23/0 |
2020 Spring STAT 153 001 LEC 001 - Introduction to Time Series
An introduction to time series analysis in the time domain and spectral domain. Topics will include: estimation of trends and seasonal effects, autoregressive moving average models, forecasting, indicators, harmonic analysis, spectra.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
C | 140 | 140 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
21928 | LAB 153 | Fr 9:00am - 10:59am | Evans 334 | 4 | 35/35/0 |
21929 | LAB 153 | Fr 11:00am - 12:59pm | Evans 334 | 4 | 35/35/0 |
21930 | LAB 153 | Fr 12:00pm - 1:59pm | Evans 344 | 4 | 35/35/0 |
2020 Spring STAT 154 001 LEC 001 - Modern Statistical Prediction and Machine Learning
Theory and practice of statistical prediction. Contemporary methods as extensions of classical methods. Topics: optimal prediction rules, the curse of dimensionality, empirical risk, linear regression and classification, basis expansions, regularization, splines, the bootstrap, model selection, classification and regression trees, boosting, support vector machines. Computational efficiency versus predictive performance. Emphasis on experience with real data and assessing statistical assumptions.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 140 | 117 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
21933 | LAB 154 | Mo 9:00am - 10:59am | Evans 330 | 4 | 35/30/0 |
21934 | LAB 154 | Mo 11:00am - 12:59pm | Evans 330 | 4 | 35/33/0 |
2020 Spring STAT 155 001 LEC 001 - Game Theory
General theory of zero-sum, two-person games, including games in extensive form and continuous games, and illustrated by detailed study of examples.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 100 | 95 | 0 |
2020 Spring STAT 157 001 SEM 001 - Seminar on Topics in Probability and Statistics
Substantial student participation required. The topics to be covered each semester that the course may be offered will be announced by the middle of the preceding semester; see departmental bulletins. Recent topics include: Bayesian statistics, statistics and finance, random matrix theory, high-dimensional statistics.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 15 | 13 | 0 |
2020 Spring STAT C205B 001 LEC 001 - Probability Theory
The course is designed as a sequence with with Statistics C205A/Mathematics C218A with the following combined syllabus. Measure theory concepts needed for probability. Expection, distributions. Laws of large numbers and central limit theorems for independent random variables. Characteristic function methods. Conditional expectations, martingales and martingale convergence theorems. Markov chains. Stationary processes. Brownian motion.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 25 | 7 | 0 |
2020 Spring STAT C206B 001 LEC 001 - Advanced Topics in Probability and Stochastic Processes
The topics of this course change each semester, and multiple sections may be offered. Advanced topics in probability offered according to students demand and faculty availability.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 30 | 9 | 0 |
2020 Spring STAT 210B 001 LEC 001 - Theoretical Statistics
Introduction to modern theory of statistics; empirical processes, influence functions, M-estimation, U and V statistics and associated stochastic decompositions; non-parametric function estimation and associated minimax theory; semiparametric models; Monte Carlo methods and bootstrap methods; distributionfree and equivariant procedures; topics in machine learning. Topics covered may vary with instructor.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 50 | 44 | 0 |
2020 Spring STAT 215B 001 LEC 001 - Statistical Models: Theory and Application
Course builds on 215A in developing critical thinking skills and the techniques of advanced applied statistics. Particular topics vary with instructor. Examples of possible topics include planning and design of experiments, ANOVA and random effects models, splines, classification, spatial statistics, categorical data analysis, survival analysis, and multivariate analysis.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 25 | 12 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
21945 | LAB 215 | Fr 10:00am - 11:59am | Evans 344 | 4 | 25/12/0 |
2020 Spring STAT 222 001 SEM 001 - Masters of Statistics Capstone Project
The capstone project is part of the masters degree program in statistics. Students engage in professionally-oriented group research under the supervision of a research advisor. The research synthesizes the statistical, computational, economic, and social issues involved in solving complex real-world problems.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
C | 52 | 53 | 0 |
2020 Spring STAT 230A 001 LEC 001 - Linear Models
Theory of least squares estimation, interval estimation, and tests under the general linear fixed effects model with normally distributed errors. Large sample theory for non-normal linear models. Two and higher way layouts, residual analysis. Effects of departures from the underlying assumptions. Robust alternatives to least squares.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 60 | 56 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
21948 | LAB 230 | We 2:00pm - 3:59pm | Moffitt Library 106 | 4 | 40/38/0 |
33561 | LAB 230 | We 10:00am - 11:59am | Evans 332 | 4 | 30/18/0 |
2020 Spring STAT 248 001 LEC 001 - Analysis of Time Series
Frequency-based techniques of time series analysis, spectral theory, linear filters, estimation of spectra, estimation of transfer functions, design, system identification, vector-valued stationary processes, model building.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 35 | 29 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
21952 | LAB 248 | Fr 1:00pm - 2:59pm | Evans 334 | 4 | 35/29/0 |
2020 Spring STAT 260 001 LEC 001 - Topics in Probability and Statistics
Special topics in probability and statistics offered according to student demand and faculty availability.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 10 | 6 | 0 |
2020 Spring STAT 272 001 SES 001 - Statistical Consulting
To be taken concurrently with service as a consultant in the department's drop-in consulting service. Participants will work on problems arising in the service and will discuss general ways of handling such problems. There will be working sessions with researchers in substantive fields and occasional lectures on consulting.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 12 | 11 | 0 |
2020 Spring STAT 278B 001 SEM 001 - Statistics Research Seminar
Special topics, by means of lectures and informational conferences.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 30 | 26 | 0 |
2020 Spring STAT 278B 002 SEM 002 - Statistics Research Seminar
Special topics, by means of lectures and informational conferences.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 15 | 3 | 0 |
2020 Spring STAT 278B 004 SEM 004 - Statistics Research Seminar
Special topics, by means of lectures and informational conferences.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 15 | 1 | 0 |
2020 Summer STAT 2 001 LEC 001 - Introduction to Statistics
Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 75 | 64 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
12466 | LAB 2 | TuTh 12:00pm - 1:29pm | Internet/Online | 4 | 38/35/0 |
12467 | LAB 2 | TuTh 2:00pm - 3:29pm | Internet/Online | 4 | 37/29/0 |
2020 Summer STAT 2 002 LEC 002 - Introduction to Statistics
Population and variables. Standard measures of location, spread and association. Normal approximation. Regression. Probability and sampling. Binomial distribution. Interval estimation. Some standard significance tests.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 72 | 68 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
12696 | LAB 2 | MoTuWeThFr 4:30pm - 5:29pm | Internet/Online | 4 | 18/18/0 |
12697 | LAB 2 | MoTuWeThFr 4:30pm - 5:29pm | Internet/Online | 4 | 18/18/0 |
12698 | LAB 2 | MoTuWeThFr 4:30pm - 5:29pm | Internet/Online | 4 | 18/17/0 |
15117 | LAB 2 | MoTuWeThFr 4:30pm - 5:29pm | Internet/Online | 4 | 18/15/0 |
2020 Summer STAT C8 001 LEC 001 - Foundations of Data Science
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.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 450 | 444 | 14 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
12589 | LAB 8 | MoWe 11:00am - 12:59pm | Internet/Online | 4 | 30/30/0 |
12590 | LAB 8 | MoWe 11:00am - 12:59pm | Internet/Online | 4 | 30/30/5 |
12683 | LAB 8 | MoWe 11:00am - 12:59pm | Internet/Online | 4 | 30/30/2 |
12684 | LAB 8 | MoWe 1:00pm - 2:59pm | Internet/Online | 4 | 30/30/0 |
12685 | LAB 8 | MoWe 1:00pm - 2:59pm | Internet/Online | 4 | 30/31/4 |
12686 | LAB 8 | MoWe 1:00pm - 2:59pm | Internet/Online | 4 | 30/30/0 |
12726 | LAB 8 | MoWe 3:00pm - 4:59pm | Internet/Online | 4 | 30/29/0 |
12727 | LAB 8 | MoWe 3:00pm - 4:59pm | Internet/Online | 4 | 30/30/0 |
12777 | LAB 8 | MoWe 3:00pm - 4:59pm | Internet/Online | 4 | 30/29/0 |
12778 | LAB 8 | MoWe 5:00pm - 6:59pm | Internet/Online | 4 | 30/30/1 |
15879 | LAB 8 | MoWe 11:00am - 12:59pm | Internet/Online | 4 | 30/30/1 |
15880 | LAB 8 | MoWe 1:00pm - 2:59pm | Internet/Online | 4 | 30/30/1 |
15881 | LAB 8 | MoWe 3:00pm - 4:59pm | Internet/Online | 4 | 30/28/0 |
15882 | LAB 8 | MoWe 5:00pm - 6:59pm | Internet/Online | 4 | 30/29/0 |
15883 | LAB 8 | MoWe 1:00pm - 2:59pm | Internet/Online | 4 | 30/28/0 |
2020 Summer STAT 20 001 LEC 001 - Introduction to Probability and Statistics
For students with mathematical background who wish to acquire basic concepts. Relative frequencies, discrete probability, random variables, expectation. Testing hypotheses. Estimation. Illustrations from various fields.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 114 | 94 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
12469 | LAB 20 | MoWeTh 1:00pm - 1:59pm | Internet/Online | 4 | 42/37/0 |
12470 | LAB 20 | MoWeTh 2:00pm - 2:59pm | Internet/Online | 4 | 42/32/0 |
15936 | LAB 20 | MoWeTh 3:00pm - 3:59pm | Internet/Online | 4 | 30/25/0 |
2020 Summer STAT C100 001 LEC 001 - Principles & Techniques of Data Science
In this course, students will explore the data science lifecycle, including question formulation, data collection and cleaning, exploratory data analysis and visualization, statistical inference and prediction, and decision-making. This class will focus on quantitative critical thinking and key principles and techniques needed to carry out this cycle. These include languages for transforming, querying and analyzing data; algorithms for machine learning methods including regression, classification and clustering; principles behind creating informative data visualizations; statistical concepts of measurement error and prediction; and techniques for scalable data processing.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
C | 0 | 0 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
13072 | LAB 100 | Internet/Online | 4 | 0/0/0 | |
13074 | LAB 100 | Internet/Online | 4 | 0/0/0 | |
13076 | LAB 100 | Internet/Online | 4 | 0/0/0 | |
13077 | LAB 100 | Internet/Online | 4 | 0/0/0 | |
13079 | LAB 100 | Internet/Online | 4 | 0/0/0 |
2020 Summer STAT 134 001 LEC 001 - Concepts of Probability
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.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 128 | 108 | 0 |
2020 Summer STAT 135 001 LEC 001 - Concepts of Statistics
A comprehensive survey course in statistical theory and methodology. Topics include descriptive statistics, maximum likelihood estimation, non-parametric methods, introduction to optimality, goodness-of-fit tests, analysis of variance, bootstrap and computer-intensive methods and least squares estimation. The laboratory includes computer-based data-analytic applications to science and engineering.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 84 | 62 | 0 |
Class # | Section | Date And Times | Location | Units | LIM/ENR/WAIT |
---|---|---|---|---|---|
12478 | LAB 135 | TuTh 11:30am - 12:59pm | Internet/Online | 4 | 40/28/0 |
12479 | LAB 135 | TuTh 2:00pm - 3:29pm | Internet/Online | 4 | 40/34/0 |
2020 Summer STAT 155 001 LEC 001 - Game Theory
General theory of zero-sum, two-person games, including games in extensive form and continuous games, and illustrated by detailed study of examples.
Status | Limit | Enrolled | Waitlist |
---|---|---|---|
O | 100 | 38 | 0 |