Statistics (STAT) - ga.rice.edu

1 Statistics (STAT) 1 Statistics (STAT)STAT 238 - SPECIAL TOPICSS hort Title: SPECIAL TOPICSD epartment: StatisticsGrade Mode: Standard LetterCourse Type: Internship/Practicum, Lecture, Laboratory, SeminarCredit Hours: 1-4 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Lower-LevelDescription: Topics and credit hours may vary each semester. Contactdepartment for current semester s topic(s). Repeatable for 280 - ELEMENTARY APPLIED STATISTICSS hort Title: ELEMENTARY APPLIED STATISTICSD epartment: StatisticsGrade Mode: Standard LetterCourse Type: Lecture/LaboratoryDistribution Group: Distribution Group IIIC redit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Lower-LevelDescription: Topics include basic probability, descriptive Statistics ,probability distributions, confidence intervals, significance testing, simplelinear regression and correlation, association between 305 - INTRODUCTION TO Statistics FOR BIOSCIENCESS hort Title.

2 INTRO TO STAT FOR BIOSCIENCESD epartment: StatisticsGrade Mode: Standard LetterCourse Type: Lecture/LaboratoryDistribution Group: Distribution Group IIIC redit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): (MATH 101 or MATH 105 or MATH 112) and (MATH 102or MATH 106)Description: An introduction to Statistics for Biosciences with emphasison statistical models and data analysis techniques. Computer-assisteddata analysis and examples, are explored in laboratory sessions. Topicsinclude descriptive Statistics , correlation and regression , categoricaldata analysis, statistical inference through confidence intervals andsignificance testing, rates, and proportions.

3 Real-world examples areemphasized. Recommended Prerequisite(s): MATH 212 or MATH 222 STAT 310 - PROBABILITY AND STATISTICSS hort Title: PROBABILITY & STATISTICSD epartment: StatisticsGrade Mode: Standard LetterCourse Type: LectureDistribution Group: Distribution Group IIIC redit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): MATH 102 or MATH 106 Description: Probability and the central concepts and methods ofstatistics including probability, random variables, distributions of randomvariables, expectation, sampling distributions, estimation, confidenceintervals, and hypothesis testing.

4 Cross-list: ECON 307. Recommendedprerequisite(s): MATH 212. Mutually Exclusive: Cannot register forSTAT 310 if student has credit for DSCI 301/STAT 311 - HONORS PROBABILITY AND MATHEMATICAL STATISTICSS hort Title: HONORS STATISTICSD epartment: StatisticsGrade Mode: Standard LetterCourse Type: LectureDistribution Group: Distribution Group IIIC redit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): MATH 212 or MATH 222 Description: Probability and the central concepts and methods ofstatistics including probability, random variables, distributions of randomvariables, expectation, sampling distributions, estimation, confidenceintervals, and hypothesis testing.

5 advanced topics (not covered inSTAT 310 or STAT 315) include the modeling stochastic phenomenaand asymptotic statistical theory. Intended for students wishing tounderstand more rigorous statistical theory and for those contemplatinga BS degree in Statistics or graduate school in statistical prerequisite(s): MATH 212 (or equivalent). Mutually Exclusive: Astudent cannot register for STAT 311 if student has credit for ECON 307/STAT 310 or STAT 315/DSCI 312 - PROBABILITY & Statistics FOR ENGINEERSS hort Title: PROB & STAT FOR ENGINEERSD epartment: StatisticsGrade Mode: Standard LetterCourse Type: LectureDistribution Group: Distribution Group IIIC redit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): MATH 102 Description.

6 Probability and the central concepts and methods ofstatistics including probability, distributions of random variables,expectation, sampling distributions, estimation, confidence intervals,and hypothesis testing. Examples are predominantly from civil andenvironmental engineering. Recommended Prerequisite(s): MATH General Announcements PDF Generated 01/12/212 Statistics (STAT)STAT 313 - UNCERTAINTY AND RISK IN URBAN INFRASTRUCTURESS hort Title: RISK-BASED DEC UNDER UNCERTD epartment: StatisticsGrade Mode: Standard LetterCourse Type: LectureDistribution Group: Distribution Group IIIC redit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): STAT 312 or STAT 310 or STAT 315 or DSCI 301 orECON 307 or ECON 382 or STAT 331 or ELEC 331 Description.

7 This course explores methods for practical risk-baseddecision support, particularly for infrastructure systems. Uncertaintyquantification (UQ) to external events including natural hazards is at thecore of risk-informed design, operation, and mitigation actions. UQ alsoguides engineering practice and enables code developments. The courseemphasizes decision theory, Bayesian approaches, risk analysis tools,and infrastructure safety. Cross-list: CEVE 313. Repeatable for 315 - PROBABILITY AND Statistics FOR DATA SCIENCES hort Title: Statistics FOR DATA SCIENCED epartment: StatisticsGrade Mode: Standard LetterCourse Type: Lecture/LaboratoryDistribution Group: Distribution Group IIIC redit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): MATH 102 or MATH 106 or MATH 112 Description: An introduction to mathematical Statistics and computationfor applications to data science.

8 Topics include probability, randomvariables expectation, sampling distributions, estimation, confidenceintervals, hypothesis testing and regression . A weekly lab will coverthe statistical package, R, and data projects. Cross-list: DSCI Prerequisite(s): MATH 212. Mutually Exclusive: Cannotregister for STAT 315 if student has credit for ECON 307/STAT 376 - ECONOMETRICSS hort Title: ECONOMETRICSD epartment: StatisticsGrade Mode: Standard LetterCourse Type: Lecture/LaboratoryCredit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): (ECON 209 or ECON 309 or ECON 446) and (ECON 308 orECON 401 or ECON 477)Description: Survey of estimation and forecasting models.

9 Includesmultiple regression time series analysis. A good understanding of linearalgebra is highly desirable. Cross-list: ECON 310. Mutually Exclusive:Cannot register for STAT 376 if student has credit for ECON 409 385 - methods OF DATA ANALYSIS AND SYSTEM OPTIMIZATIONS hort Title: methods FOR DATA ANALYSISD epartment: StatisticsGrade Mode: Standard LetterCourse Type: Lecture/LaboratoryDistribution Group: Distribution Group IIIC redit Hours: 4 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): STAT 280 or STAT 305 or STAT 310 or ECON 307 orSTAT 312 or STAT 315 or DSCI 301 Description.

10 The three general areas covered in this methodologyoriented course are (a) statistical methods , including regression ,sampling, and experimental design; (b) simulation based methodsin Statistics , queuing and inventory problems; (c) an introduction tooptimization methods . Excel serves as the basic computing 405 - R FOR DATA SCIENCES hort Title: R FOR DATA SCIENCED epartment: StatisticsGrade Mode: Standard LetterCourse Type: Lecture/LaboratoryDistribution Group: Distribution Group IIIC redit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, UndergraduateProfessional or Visiting Undergraduate level Level: Undergraduate Upper-LevelPrerequisite(s): STAT 305 or STAT 312 or STAT 310 or ECON 307 orSTAT 385 or STAT 315 or DSCI 301 Description: This course introduces students to the statisticalprogramming language, R, and how to use it in statistical and datascience problems.