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Statistics.Pdf Statistics 1 STATISTICS Master's Programs • Master of Arts (MA) Degree in the field of Statistics* Contact Information • Master of Statistics (MStat) Degree (https://ga.rice.edu/programs- study/departments-programs/engineering/statistics/statistics- Statistics mstat/) https://statistics.rice.edu/ 2103 Duncan Hall 713-348-6032 Doctoral Program • Doctor of Philosophy (PhD) Degree in the field of Statistics (https:// Rudy Guerra ga.rice.edu/programs-study/departments-programs/engineering/ Department Chair statistics/statistics-phd/) [email protected] Marek Kimmel Coordinated Programs Associate Department Chair • Master of Statistics (MStat) Degree / Master of Business [email protected] Administration (MBA) Degree (https://ga.rice.edu/programs- study/departments-programs/engineering/statistics/business- administration-mba-statistics-mstat/) Statistics coursework acquaints students with the role played in the * Although students are not normally admitted to a Master of Arts (MA) modern world by probabilistic and statistical ideas and methods. degree program, graduate students may earn the MA as they work Students grow familiar with both the theory and the application of towards the PhD. techniques in common use as they are trained in statistical research. At the undergraduate level, the department offers two undergraduate Chair degrees: the Bachelor of Arts (BA) degree and the Bachelor of Science Rudy Guerra (BS) degree. The Bachelor of Arts (BA) degree is designed for those students interested in applied statistics while the Bachelor of Science Professors (BS) degree is intended for students desiring to pursue research positions Dennis Cox or graduate study in Statistics. Katherine Bennett Ensor The graduate program has areas of specialization in applied Rudy Guerra probability, Bayesian methodology, bioinformatics, biomathematics, Marek Kimmel biostatistics, computational finance, data visualization, environmental David W. Scott health, functional data analysis, graphical models, large and complex Marina Vannucci data, machine and statistical learning, networks, neuroscience, nonparametric function estimation, social sciences, statistical Associate Professor computing, spatial statistics, stochastic processes, systems biology, time Philip A. Ernst series analysis, and urban analytics. Statistics is a cornerstone of the campus wide data science initiative. Assistant Professors A coordinated MBA/MStat degrees program is also offered in conjunction Daniel R. Kowal with the Jesse H. Jones Graduate School of Business. Meng Li Michael Schweinberger Bachelor's Program • Bachelor of Arts (BA) Degree with a Major in Statistics (https:// Research Professor ga.rice.edu/programs-study/departments-programs/engineering/ Erzsébet Merényi statistics/statistics-ba/) • Bachelor of Science (BS) Degree with a Major in Statistics (https:// Associate Research Professor ga.rice.edu/programs-study/departments-programs/engineering/ Janet Siefert statistics/statistics-bs/) Professors in the Practice Minors John Dobelman • Minor in Financial Computation and Modeling (https://ga.rice.edu/ Loren Hopkins Raun programs-study/departments-programs/engineering/financial- computation-modeling/financial-computation-modeling-minor/) Lecturers • Minor in Statistics (https://ga.rice.edu/programs-study/ E. Neely Atkinson departments-programs/engineering/statistics/statistics-minor/) Roberto Bertolusso 2021-2022 General Announcements PDF Generated 09/23/21 2 Statistics STAT 305 - INTRODUCTION TO STATISTICS FOR BIOSCIENCES Associate Professor, Joint Appointment Short Title: INTRO TO STAT FOR BIOSCIENCES Genevera I. Allen Department: Statistics Grade Mode: Standard Letter Assistant Professor, Joint Appointment Course Type: Lecture/Laboratory Anshumali Shrivastava Distribution Group: Distribution Group III Credit Hours: 4 Adjunct Professors Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Kim-Anh Do Course Level: Undergraduate Upper-Level Jeffrey S. Morris Prerequisite(s): (MATH 101 or MATH 105 or MATH 112) and (MATH 102 Yu Shen or MATH 106) Peter Thall Description: An introduction to statistics for Biosciences with emphasis Hadley Wickham on statistical models and data analysis techniques. Computer-assisted data analysis and examples, are explored in laboratory sessions. Topics Adjunct Associate Professors include descriptive statistics, correlation and regression, categorical Veera Baladandayuthapani data analysis, statistical inference through confidence intervals and Xuelin Huang significance testing, rates, and proportions. Real-world examples are Ying Yuan emphasized. Recommended Prerequisite(s): MATH 212 or MATH 222 STAT 310 - PROBABILITY AND STATISTICS Adjunct Assistant Professors Short Title: PROBABILITY & STATISTICS Michele Guindani Department: Statistics Chad A. Shaw Grade Mode: Standard Letter Francesco Stingo Course Type: Lecture Distribution Group: Distribution Group III For Rice University degree-granting programs: Credit Hours: 3 To view the list of official course offerings, please see Rice’s Restrictions: Enrollment is limited to Undergraduate, Undergraduate Course Catalog (https://courses.rice.edu/admweb/!SWKSCAT.cat? Professional or Visiting Undergraduate level students. p_action=cata) Course Level: Undergraduate Upper-Level To view the most recent semester’s course schedule, please see Rice's Prerequisite(s): MATH 102 or MATH 106 Course Schedule (https://courses.rice.edu/admweb/!SWKSCAT.cat) Description: Probability and the central concepts and methods of statistics including probability, random variables, distributions of random Statistics (STAT) variables, expectation, sampling distributions, estimation, confidence intervals, and hypothesis testing. Cross-list: ECON 307. Recommended STAT 238 - SPECIAL TOPICS prerequisite(s): MATH 212. Mutually Exclusive: Cannot register for Short Title: SPECIAL TOPICS STAT 310 if student has credit for BUSI 395. Department: Statistics Grade Mode: Standard Letter STAT 311 - HONORS PROBABILITY AND MATHEMATICAL STATISTICS Course Type: Internship/Practicum, Laboratory, Lecture, Seminar, Short Title: HONORS STATISTICS Independent Study Department: Statistics Credit Hours: 1-4 Grade Mode: Standard Letter Restrictions: Enrollment is limited to Undergraduate, Undergraduate Course Type: Lecture Professional or Visiting Undergraduate level students. Distribution Group: Distribution Group III Course Level: Undergraduate Lower-Level Credit Hours: 3 Description: Topics and credit hours may vary each semester. Contact Restrictions: Enrollment is limited to Undergraduate, Undergraduate department for current semester’s topic(s). Repeatable for Credit. Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level STAT 280 - ELEMENTARY APPLIED STATISTICS Prerequisite(s): MATH 212 or MATH 222 Short Title: ELEMENTARY APPLIED STATISTICS Description: Probability and the central concepts and methods of Department: Statistics statistics including probability, random variables, distributions of random Grade Mode: Standard Letter variables, expectation, sampling distributions, estimation, confidence Course Type: Lecture/Laboratory intervals, and hypothesis testing. Advanced topics (not covered in Distribution Group: Distribution Group III STAT 310 or STAT 315) include the modeling stochastic phenomena Credit Hours: 4 and asymptotic statistical theory. Intended for students wishing to Restrictions: Enrollment is limited to Undergraduate, Undergraduate understand more rigorous statistical theory and for those contemplating Professional or Visiting Undergraduate level students. a BS degree in Statistics or graduate school in statistical science. Course Level: Undergraduate Lower-Level Required prerequisite(s): MATH 212 (or equivalent). Mutually Exclusive: A Description: Topics include basic probability, descriptive statistics, student cannot register for STAT 311 if student has credit for ECON 307/ probability distributions, confidence intervals, significance testing, simple STAT 310 or STAT 315/DSCI 301. linear regression and correlation, association between categorized variables. 2021-2022 General Announcements PDF Generated 09/23/21 Statistics 3 STAT 312 - PROBABILITY & STATISTICS FOR ENGINEERS STAT 376 - ECONOMETRICS Short Title: PROB & STAT FOR ENGINEERS Short Title: ECONOMETRICS Department: Statistics Department: Statistics Grade Mode: Standard Letter Grade Mode: Standard Letter Course Type: Lecture Course Type: Lecture/Laboratory Distribution Group: Distribution Group III Credit Hours: 4 Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Course Level: Undergraduate Upper-Level Prerequisite(s): (ECON 209 or ECON 309 or ECON 446) and (ECON 308 or Prerequisite(s): MATH 102 ECON 401 or ECON 477) Description: Probability and the central concepts and methods of Description: Survey of estimation and forecasting models. Includes statistics including probability, distributions of random variables, multiple regression time series analysis. A good understanding of linear expectation, sampling distributions, estimation, confidence intervals, algebra is highly desirable. Cross-list: ECON 310. Mutually Exclusive: and hypothesis testing. Examples are predominantly from civil and Cannot register for STAT 376
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