Catalog Review

For Course Qualities In Effect For 2022-23

Process Date: 07-AUG-2022

STAT - Statistics

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.