Process Date: 07-AUG-2022
| 107 | PRINCIPLES OF STATISTICS | Active |
| Long Title: Principles of Statistics |
| Units: | 6 | Cross-Listing Parent: | Repeatable: | No | |
| S/U Only: | No | Enr Limit per Sec: | 25 | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | G012 - Mathematics GER (86cr) G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) G052 - Quantitative Analy GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL02 - Introductory Course |
| Prerequisites: | |
| Description: | For students in all disciplines. Provides the background needed to evaluate statistical arguments found in newspapers, magazines, reports, and journals and the logic and techniques necessary to perform responsible elementary statistical analysis. Topics include basic data analysis, one-variable regression, experimental and sampling design, random variables, sampling distributions, and inference (confidence intervals and significance testing). This course may not be taken on a Satisfactory/Unsatisfactory basis. Students with credit for MATH 140 or equivalent, or BIOL 170, or AP Statistics should not take this course and should instead consider STAT 255. |
| 205 | DATA-SCIENTIFIC PROGRAMMING | Active |
| Long Title: Data-Scientific Programming |
| Units: | 6 | Cross-Listing Parent: | CMSC 205 | Repeatable: | No |
| S/U Only: | No | Enr Limit per Sec: | 25 | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | A005 - Cross-Listed Course G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) G052 - Quantitative Analy GER (01cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL03 - Foundation/Gateway Course |
| Prerequisites: | One prior course MATH, STAT, or CMSC course, or BIOL 170, or consent of instructor |
| Description: | An introduction to programming with emphasis on learning from data in order to gain useful insights. Topics focus on elementary programming concepts in the R language and the necessary tools to handle, analyze and interpret data. This course will be taught in a workshop format, and students will complete regular assignments and a final project that provide hands-on programming/analysis experiences. |
| 208 | MACHINE LEARNING | Active |
| Long Title: Machine Learning |
| Units: | 6 | Cross-Listing Parent: | CMSC 208 | Repeatable: | No |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | A005 - Cross-Listed Course G012 - Mathematics GER (86cr) G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) G052 - Quantitative Analy GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL03 - Foundation/Gateway Course |
| Prerequisites: | CMSC 150, or CMSC 205, or CMSC 210, or consent of instructor |
| Description: | An overview of techniques used to discover structural patterns and make predictions using complex datasets that are prevalent in today's world. The central machine learning tasks of classification, clustering, and regression will be explored, along with methods for training models and evaluating predictions. This course will be taught in a workshop format. Assignments will involve the use of statistical software. |
| 255 | STATISTICS FOR DATA SCIENCE | Active |
| Long Title: Statistics for Data Science |
| Units: | 6 | Cross-Listing Parent: | Repeatable: | No | |
| S/U Only: | No | Enr Limit per Sec: | 25 | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) G052 - Quantitative Analy GER (01cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL03 - Foundation/Gateway Course |
| Prerequisites: | STAT 107, BIOL 170, or MATH 140, or instructor permission |
| Description: | This course introduces modern statistical techniques in the context of predictive inference and modeling. Topics will include data analysis techniques such as linear and logistic regression, ANOVA, nonparametric methods, and computational approaches such as cross-validation and bootstrapping. Statistical software will be used frequently. This class will involve regular in-class and out-of-class assignments as well as exams and quizzes. |
| 340 | PROBABILITY | Active |
| Long Title: Probability |
| Units: | 6 | Cross-Listing Parent: | MATH 340 | Repeatable: | No |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | A005 - Cross-Listed Course G012 - Mathematics GER (86cr) G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL03 - Foundation/Gateway Course |
| Prerequisites: | MATH 200, and either MATH 220 or MATH 230 |
| Description: | An introduction to probability and its applications. Topics will include combinatorial and axiomatic probability, conditional probability and Bayes' Theorem, random variables, expectation and variance, discrete and continuous probability distributions, joint and conditional distributions, and limit laws. |
| 390 | TUTORIAL STUDIES IN STATS | Active |
| Long Title: Tutorial Studies in Statistics |
| Units: | 1 TO 98 | Cross-Listing Parent: | Repeatable: | Yes | |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | Yes |
| Permission Req.: | Yes | Schedule Type: | 09 - Tutorial | Campus: | Appleton Main Campus |
| Attributes: | G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL03 - Foundation/Gateway Course |
| Prerequisites: | Counter Registration Required. |
| Description: | Advanced work in statistics on topics not covered in regular offerings. |
| 391 | DIRECTED STUDY IN STATISTICS | Active |
| Long Title: Directed Study in Statistics |
| Units: | 1 TO 98 | Cross-Listing Parent: | Repeatable: | Yes | |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | Yes |
| Permission Req.: | Yes | Schedule Type: | 14 - Directed Study | Campus: | Appleton Main Campus |
| Attributes: | G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL03 - Foundation/Gateway Course |
| Prerequisites: | Counter Registration Required. |
| Description: | Directed study follows a syllabus set primarily by the instructor to meet the needs or interests of an individual student or small group of students. The main goal of directed study is knowledge or skill acquisition, not research or creative work. |
| 399 | INDEPENDENT STUDY IN STATS | Active |
| Long Title: Independent Study in Statistics |
| Units: | 1 TO 98 | Cross-Listing Parent: | Repeatable: | Yes | |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | Yes |
| Permission Req.: | Yes | Schedule Type: | 10 - IS | Campus: | Appleton Main Campus |
| Attributes: | G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL03 - Foundation/Gateway Course |
| Prerequisites: | Counter Registration Required. |
| Description: | Guided independent study of an advanced topic in undergraduate statistics or supervised work on an undergraduate research project, generally culminating in a final presentation and/or paper. |
| 405 | ADVANCED DATA COMPUTING | Active |
| Long Title: Advanced Data Computing |
| Units: | 6 | Cross-Listing Parent: | CMSC 405 | Repeatable: | No |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | A005 - Cross-Listed Course G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL04 - Advanced Course |
| Prerequisites: | CMSC 205 |
| Description: | This course builds on CMSC/STAT 205, providing a deeper exploration of statistical computing in R. Topics might include efficient programming techniques, parallelization, statistical algorithms, advanced data visualization, and creation of R packages. Statistical software will be used extensively in this course. The class will be taught in an interactive lab-based format. There will be regular assignments and a project. |
| 445 | MATHEMATICAL STATISTICS | Active |
| Long Title: Mathematical Statistics |
| Units: | 6 | Cross-Listing Parent: | Repeatable: | No | |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | G012 - Mathematics GER (86cr) G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UL04 - Advanced Course |
| Prerequisites: | MATH/STAT 340 |
| Description: | Development of the mathematical theory of statistics and its application to the real world. The course will focus on the principles of estimation and testing from both the frequentist and Bayesian perspectives. Resampling methods (permutation tests and bootstrap intervals) will also be explored. |
| 450 | BAYESIAN STATISTICS | Active |
| Long Title: Bayesian Statistics |
| Units: | 6 | Cross-Listing Parent: | Repeatable: | No | |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | G012 - Mathematics GER (86cr) G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL04 - Advanced Course |
| Prerequisites: | MATH/STAT 340 |
| Description: | A study of the Bayesian statistical philosophy, contrasting it with the traditional frequentist approach taught in other statistics courses. Topics include Bayes' Theorem, prior and posterior probability distributions, hierarchical models, and Markov Chain Monte Carlo methods. The course will involve a mixture of lecture, discussion, and use of statistical software. Requirements include exams, a project, and assignments involving the use of statistical software. |
| 455 | ADVANCED STATISTICAL MODELING | Active |
| Long Title: Advanced Statistical Modeling |
| Units: | 6 | Cross-Listing Parent: | Repeatable: | No | |
| S/U Only: | No | Enr Limit per Sec: | 25 | IP Allowed: | No |
| Permission Req.: | No | Schedule Type: | 01 - Standard | Campus: | Appleton Main Campus |
| Attributes: | G016 - Add Nat Sci GER (86cr) G040 - Nat Science Div GER (01cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL04 - Advanced Course |
| Prerequisites: | STAT 255 or instructor permission |
| Description: | This course expands on STAT 255, and introduces more sophisticated models, meant to capture complicated correlation structure in data. Topics might include generalized linear models, mixed-effects models, hierarchical models, spatial models, and time series. The course will involve the use of statistical software. There will be regular assignments, exams, and possibly projects. |
| 590 | TUTORIAL STUDIES IN STATS | Active |
| Long Title: Tutorial Studies in Statistics |
| Units: | 1 TO 98 | Cross-Listing Parent: | Repeatable: | Yes | |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | Yes |
| Permission Req.: | Yes | Schedule Type: | 09 - Tutorial | Campus: | Appleton Main Campus |
| Attributes: | G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL04 - Advanced Course |
| Prerequisites: | Counter Registration Required. |
| Description: |
| 591 | DIRECTED STUDY IN STATS | Active |
| Long Title: Directed Study in Statistics |
| Units: | 1 TO 98 | Cross-Listing Parent: | Repeatable: | Yes | |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | Yes |
| Permission Req.: | Yes | Schedule Type: | 14 - Directed Study | Campus: | Appleton Main Campus |
| Attributes: | G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL04 - Advanced Course |
| Prerequisites: | Counter Registration Required. |
| Description: | Directed study follows a syllabus set primarily by the instructor to meet the needs or interests of an individual student or small group of students. The main goal of directed study is knowledge or skill acquisition, not research or creative work. |
| 699 | INDEPENDENT STUDY IN STATS | Active |
| Long Title: Independent Study in Statistics |
| Units: | 1 TO 98 | Cross-Listing Parent: | Repeatable: | Yes | |
| S/U Only: | No | Enr Limit per Sec: | None | IP Allowed: | Yes |
| Permission Req.: | Yes | Schedule Type: | 10 - IS | Campus: | Appleton Main Campus |
| Attributes: | G040 - Nat Science Div GER (01cr) N006 - BM Natural Science (95cr) N015 - BM Natural Science (01cr) S059 - Statistics Course UD03 - Division of Natural Science UL01 - Upper Level Degree Credit UL05 - Capstone Course |
| Prerequisites: | Counter Registration Required. |
| Description: | Guided independent study of an advanced topic in undergraduate statistics or supervised work on an undergraduate research project, generally culminating in a final presentation and/or paper. |