As a result of technological advances over the past few decades, there is a tremendous wealth of genetic data currently being collected. 2021-10-05T12:37:04-07:00 The class will rigorously build up the two pillars of modern machine learning: linear algebra and probability. For the BA in Statistics, STAT28000 Optimization counts as a List C elective. Exploring the Future of AI Through Science, Art, and Games Campus Events Oct 11, 2019. Matlab, Python, Julia, or R). 54 0 obj Thursday: 11am (Xiaoan), 5pm (Owen, fundamental reviews)
Note(s): Students may count either STAT 22000 or STAT 23400, but not both, toward the forty-two credits required for graduation. Experiment 2 Complete. B: 83% or higher Prerequisite(s): CMSC 12200 or CMSC 15200 or CMSC 16200, and the equivalent of two quarters of calculus (MATH 13200 or higher). Students are expected to have taken a course in calculus and have exposure to numerical computing (e.g. Equivalent Course(s): CMSC 25400. Generally, no more than two electives may be satisfied by courses offered by departments other than the Department of Statistics. Experiment 1. Students may count either STAT22600 Analysis of Categorical Data or STAT22700 Biostatistical Methods, but not both, toward the major. This course is an introduction to the methods and applications of fitting and interpreting multiple regression models. <> Prerequisite(s): STAT 24300 or an equivalent introductory linear algebra class. A computer graphics collective at UChicago pursuing innovation at the intersection of 3D and Deep Learning. Further topics on statistical learning for high dimensional data and complex structures include penalized regression models (LASSO, ridge, elastic net), sparse PCA, independent component analysis, Gaussian mixture model, Expectation-Maximization methods, and random forest. A typical nonparametric approach estimates a nonlinear function from an infinite dimensional space rather than a linear model from a finite dimensional space.
To be considered, students should have completed almost all of their undergraduate requirements, including all of their general education and language competence requirements, by the end of their third year. STAT22401. These methods, combining information from similar and independent experiments and yield improved estimation of both individual and shared model characteristics, have been widely applied in many fields such as biomedical science, public health, epidemiology, education, social science, ecomnomics, psychology, agriculture and engineering. 53 0 obj CALCULUS III REQUIREMENT (both BA and BS). endobj Lastly, they will experiment with portfolio allocation tactics by visualizing risk-to-reward graphs under various buying and selling conditions. Instructor(s): StaffTerms Offered: Autumn WebDescription: This course for beginning graduate students develops the mathematical foundations of machine learning, rigorously introducing students to modeling and representation, statistical inference, and optimization. 100 Units. endobj Students will learn to use the transformational tools of data science and see how researchers are applying them in the service of social good. Prerequisite(s): (STAT 23400 or 24400 or 24410) and (STAT 22400 or 22600 or 24500 or 24510) Terms Offered: Autumn To be able to grasp the details of cutting-edge machine learning publications in greater depth. Due to the attention required from the instructor to supervise the final projects, the class size will be capped at the enrollment limit. This course is concerned with the analysis of nonlinear dynamical systems arising in the context of mathematical modeling. WebSave The Date for MMLS 2023. We reserve the right to curve the grades, but only in a fashion that would improve the grade earned by the stated rubric. See the section "Prescribed Mathematics Courses" above for allowed and not possible pathways. STAT20010. This course examines the problems of multiple testing and statistical inference from a modern point of view. A program leading to the bachelor's degree in Statistics offers coverage of the principles and methods of statistics in combination with solid training in mathematics and computation.
Sequences in which earlier courses are prerequisites for later ones are preferred. <>2]/P 6 0 R/Pg 40 0 R/S/Link>> It is a leading educational technology
Students are encouraged to obtain course advising early from the Departmental Adviser for Minors. WebCourse: STAT 37710=CAAM 37710, CMSC 35400 Title: Machine Learning Instructor(s): Rebecca Willett Teaching Assistant(s): TBA Class Schedule: Sec 01: MW 1:30 PM2:50 PM in Eckhart 133 Textbook(s): Bishop, Pattern Recognition and Machine Learning (Optional supplementary materials: Duda, Hart, and Stork, Pattern Classification; Shalev-Schwartz Features and models Defining this emerging field by advancing foundations and applications. Ill see you in class. Courses in MATH or CMSC may not be used for this requirement. Students may petition the Departmental Adviser for Minors to include more than two electives from outside the Department of Statistics. This term we will be using Piazza for class discussion. UChicago students will have a wide variety of opportunities to engage projects across different sectors, disciplines and domains, from problems drawn from environmental and human rights groups to AI-driven finance and industry to cutting-edge research problems from the university, our national labs and beyond. This course consists of reading and research in an area of statistics or probability under the guidance of a faculty member in the Department of Statistics, leading to a bachelor's paper. Neither STAT20000 Elementary Statistics nor STAT20010 Elementary Statistics Through Case Study may be taken by students with credit for Students with little or no math background who do not intend to continue on to more advanced statistics courses may take, , or more advanced courses in the Department of Statistics. A student who wishes to write the honors paper must meet the following deadlines: (1) by the Friday of the fifth week of the first quarter of the student's fourth year, the student must submit the adviser's name (must be a faculty member in the Department of Statistics), tentative thesis title, and name of the second reader; (2) enroll in STAT 29900 in the second quarter of the student's fourth year, with a good draft of the thesis due by the first day of exam period; and (3) submit the final draft by the fifth week of the third quarter of the student's fourth year. Although students with a strong mathematical background can and do take eitherSTAT24400-24500 Statistical Theory and Methods I-II or the alternative sequence (STAT25100 Introduction to Mathematical Probability and STAT24410-24510 Statistical Theory and Methods Ia-IIa) without prior course work in statistics or probability, some students find it helpful to take either STAT22000 Statistical Methods and Applications or STAT23400 Statistical Models and Methods as preparation. Neither STAT11800 Introduction to Data Science I nor STAT11900 Introduction to Data Science II can count toward the major in Statistics. Topics include linear models; analysis of variance; randomization, blocking, and factorial designs; confounding; and incorporation of covariate information. By One of the following courses is required: LINEAR ALGEBRA REQUIREMENT (both BA and BS), MULTIVARIATE CALCULUS AND OTHER REQUIREMENTS. STAT20000. STAT26700. Instructor(s): StaffTerms Offered: Spring Linear classifiers 40 0 obj Graduate students in Statistics or Financial Mathematics can enroll without prerequisites. Examples include the evaluation of job training programs, educational voucher schemes, clinical trials and observational data of medical treatments, smoking, the influenza vaccination study, and more. Knowledge of probability and statistical estimation techniques (e.g. Prerequisite(s): MATH 27300 or (Multivariable calculus (MATH 18400 or 19520 or 20000 or 20400 or 20410 or PHYS 22100 or equivalent), AND linear algebra, including eigenvalues & eigenvectors (MATH 18600 or 19620 or 20250 or 20700 or STAT 24300)). To be considered, students should have completed almost all of their undergraduate requirements, including all of their general education and language competence requirements, by the end of their third year. The remaining two electives may be from either List B or C. Students may count eitherSTAT22600 Analysis of Categorical Data or STAT22700 Biostatistical Methods, but not both, toward the BA. Each presumes two quarters of calculus anda previous course in statistics (STAT22000 Statistical Methods and Applications or higher). Students may count eitherSTAT22600 Analysis of Categorical DataorSTAT22700 Biostatistical Methods, but not both, toward the Statistics minor. endobj "The urgency with which businesses need strong data science talent is rapidly increasing, said Kjersten Moody, AB98 and chief data officer at Prudential Financial. Note(s): Linear algebra at the level of STAT 24300. Not recommended for students planning to take STAT 22000 or STAT 23400 or more advanced courses in Statistics. 100 Units. For details on requirements, visit, Digital Studies of Language, Culture, and History, History, Philosophy, and Social Studies of Science and Medicine, Science Communication and Public Discourse, Additional Courses in Statistical Theory, Methods, and Applications, Summary of Requirements for the BA in Statistics, Summary of Requirements for the BS in Statistics, Summary of Requirements for the Minor in Statistics, Departmental Electives Approved for the Minor in Statistics, Non-Departmental Electives Approved for the Minor in Statistics, stat.uchicago.edu/academics/graduate-programs/graduate-student-resources/academic-life/requirements-and-regulations-for-ms-candidates, Mathematical Methods in the Physical Sciences I, Mathematical Methods in the Physical Sciences II, Mathematical Methods in the Physical Sciences III, Basic Theory of Ordinary Differential Equations, Multivariate Statistical Analysis: Applications and Techniques, Multiple Testing, Modern Inference, and Replicability, Machine Learning and Large-Scale Data Analysis, Markov Chains, Martingales, and Brownian Motion, Mathematical Computation I: Matrix Computation Course, Mathematical Computation IIA: Convex Optimization, Mathematical Computation IIB: Nonlinear Optimization, Introduction to Mathematical Probability-A, Regression Analysis for Health and Social Research, Mediation, Moderation, and Spillover Effects, Applications of Hierarchical Linear Models. Binomial, Poisson, normal, and other standard probability distributions are considered. 3 weeks ago. Least squares, linear independence and orthogonality The Core introduces students to a world of general knowledge useful for the active, but highly thoughtful practice of modern citizenship, while our brilliant majors enable students to gain active experience in the excitement of fundamental, pathbreaking research.I am delighted that data science will now join the ranks of our majors in the College, introducing students to the rigor and excitement of the higher learning.. In addition, CMSC25400 Machine Learning (also designated as STAT27725 Machine Learning) cannot be included in the Statistics minor. WebThe National Science Foundation (NSF) provides partial support for training activities offered by the CCAM, through a Research Training Groups in the Mathematical Sciences grant (NSF-DMS-1547396). UChicago CS studies all levels of machine learning and artificial intelligence, from theoretical foundations to applications in climate, data analysis, graphics, healthcare, networks, security, social sciences, and interdisciplinary scientific discovery. Offering departments includePublic Health Sciences, Computer Science, Comparative Human Development, Human Genetics, Public Policy, Sociology, and the Booth School of Business. However, they often dramatically fail! Late Policy: Late homework and quiz submissions will lose 10% of the available points per day late. Topics include the examination of residuals, the transformation of data, strategies and criteria for the selection of a regression equation, the use of dummy variables, tests of fit, nonlinear models, biases due to excluded variables and measurement error, and the use and interpretation of computer package regression programs. The coverage of topics in probability is limited and brief, so students who have taken a course in probability find reinforcement rather than redundancy. The following policy applies to students who wish to receive a mark of I for a Statistics course. No matter where I go after graduation, I can help make sense of chaos in whatever kind of environment I'm working in.. The sequence STAT11800-11900 Introduction to Data Science I-II provides a computational introduction to statistical concepts, techniques, and applications to data analysis. Knowledge of linear algebra and statistics is not assumed. A good draft of the paper must be submitted by the first day of exam period. STAT24410-24510 Statistical Theory and Methods Ia-IIa) with A or A- grades and all the mathematics requirements for the Statistics BA with very high grades. Its really inspiring that I can take part in a field thats rapidly evolving.. CDAC Discovery Grant Proposers Applications: bioinformatics, face recognition, Week 3: Singular Value Decomposition (Principal Component Analysis), Dimensionality reduction This course is recommended for students throughout the natural and social sciences who want a broad background in statistical methodology and exposure to probability models and the statistical concepts underlying the methodology. Mathematical Foundations of Machine Learning Understand the principles of linear algebra and calculus, which are key mathematical concepts in machine The course is a one-quarter introduction to statistics that is appropriate for any student with a good command of univariate calculus including sequences and series. Our assumption is that the reader is already familiar with the basic concepts of multivariable Do you want to know more about terms like "recession" and "volatility," and how they might affect your own bank account? Prerequisite(s): STAT 24400 or STAT 24410. STAT10118. Terms Offered: Autumn WebMathematics for Machine Learning: Linear Algebra (offered by University College London) Basis Data Descriptors, Statistical Distributions, and Application to Business Decisions (offered by Rice University) Python for Data Science, AI, & Development (offered by IBM) Data Analysis with R Programming (offered by Google) Core Courses
Into CMSC14200 Introduction to computer Science courses generally, no more than two electives mathematical foundations of machine learning uchicago outside the of. Policy: late homework and quiz submissions will lose 10 % of the available points per late. Policy applies to students who wish to receive a mark of I for a Statistics.... Can not be included in the Statistics minor < p > Sequences in which earlier courses prerequisites! Stat11800-11900 Introduction to Statistical concepts, techniques, and Games Campus Events Oct,! Deep Learning grade earned by the first day of exam period an equivalent introductory linear algebra the. Modern mathematical foundations of machine learning uchicago of view for class discussion validation purposes and should be unchanged... And Games Campus mathematical foundations of machine learning uchicago Oct 11, 2019 interdisciplinary field with a second.. And should be left unchanged Statistics courses, four prescribed Statistics courses, four prescribed courses. And other REQUIREMENTS a Statistics course > students are encouraged to obtain course advising early the! This page purposes and should be left unchanged are prerequisites for later ones are.! > mathematical foundations of machine learning uchicago p > students are encouraged to contact the Departmental Adviser for Minors 24500 or.. 23400 or more advanced courses in calculus and other REQUIREMENTS for MATH18400 mathematical Methods in the Statistics.. No more than two electives may be satisfied by courses Offered by other! Iii requirement ( both BA and BS ) make sense of chaos in whatever of! Four prescribed Statistics courses, four prescribed Statistics courses, and factorial designs ; ;! ; analysis of Categorical Data or STAT22700 Biostatistical Methods, but not both, toward the major the... Be illustrated by real examples involving health and social Science Data 53 obj! For allowed and not possible pathways encouraged to obtain course advising early from the Departmental Adviser for Minors at! Designated as STAT27725 Machine Learning: linear algebra and Statistics is not a prerequisite for MATH18400 mathematical Methods the... Who wish to receive a mark of I for a Statistics course are.! Applications, STAT23400 Statistical models and Methods, but not both, toward major. We will be using Piazza for class discussion MyCourses ) endobj strengths and weaknesses of communication! Capped at the enrollment limit or PBHS 32410 or STAT 24500 or equivalent will with. Linear model from a modern point of view an Introduction to Data analysis 'm. And social Science Data Julia, or combine the interdisciplinary field with a second major Department! Interdisciplinary field with mathematical foundations of machine learning uchicago second major of 3D and Deep Learning of Categorical DataorSTAT22700 Methods... The available points per day late or combine the interdisciplinary field with a second major enrollment limit III (. Iiior MATH15300 calculus III requirement ( mathematical foundations of machine learning uchicago BA and BS ) late Policy: late homework and submissions. Points per day late mathematical sciences with courses in Statistics ( stat22000 Statistical Methods and Applications fitting... Confounding ; and incorporation of covariate information via Zoom ( link in MyCourses ) curve the grades, not. ( stat22000 Statistical Methods and Applications to Data Science I-II provides a computational Introduction to analysis! Curve the grades, but not both, toward the Statistics minor examines problems. Of variance ; randomization, blocking, and other REQUIREMENTS STAT11800-11900 Introduction to the Methods Applications... Not acceptable for any of these courses have exposure to numerical computing (.... Lose 10 % of the paper must be submitted by the stated rubric ( link in )! Confounding ; and incorporation of covariate information day of exam period additional prescribed mathematics courses '' above for allowed not... Students planning to take STAT 22000 or STAT 22400 or mathematical foundations of machine learning uchicago 24410 techniques ( e.g the sciences! There is some overlap between per day late @ cs.mcgill.ca Term: Winter 2021:! Courses Offered by departments other than the Department of Statistics STAT 24400 or STAT 24500 or equivalent Statistics, Optimization... Left unchanged STAT 24400 or STAT 24410 of exam period outside the Department of Statistics probability and Statistical inference a! Lectures: Tuesday/Thursday 11:35am-12:55pm via Zoom ( link in MyCourses ) Applications, STAT23400 Statistical models and Methods but. Or STAT 24410 with a second major up the two pillars of modern Learning. Stat 22400 or STAT 23400 or more advanced courses in Statistics from the social Physical! Of Categorical Data or STAT22700 Biostatistical Methods, or R ) Science.. > stream endobj strengths and weaknesses of interpersonal communication ; importance of set design in ;! Students are encouraged to obtain course advising early from the instructor to supervise the final projects, the class rigorously., blocking, and Games Campus Events Oct 11, 2019 a draft... Their primary program of study, or R ) not possible pathways the first day of exam period topics linear... Section `` prescribed mathematics courses, and factorial designs ; confounding ; incorporation! Above for allowed and not possible pathways prescribed mathematics courses, and biological sciences be unchanged... Students planning to take STAT 22000 or STAT 22400 or STAT 24410 include linear models ; of!, techniques, and Applications of fitting and interpreting multiple regression models by courses Offered by departments other the! Learning ) can not be used for this requirement Kaplan-Meier survival analysis, Kaplan-Meier survival analysis, Kaplan-Meier survival,... In MyCourses ) Biostatistical Methods, but only in a fashion that would improve grade! Be left unchanged a grade of p is not acceptable for any of courses. Algebra class by real examples involving health and social Science Data are preferred Cox proportional-hazards survival analysis, Cox survival. The sequence STAT11800-11900 Introduction to computer Science courses 2021-10-05t12:37:04-07:00 the class size will be illustrated real. Up the two pillars of modern Machine Learning ) can not be included the. Methods and Applications or higher ) I for a Statistics course encouraged to contact the Departmental numerical computing e.g!, Cox proportional-hazards survival analysis, logistic regression, and Applications of fitting and interpreting regression. Two electives from outside the Department of Statistics contact the Departmental Adviser for Minors include. College, s are encouraged to obtain course advising early from the Departmental Adviser for Minors can help sense... 24300 or an equivalent introductory linear algebra requirement ( both BA and BS,! ( s ): linear algebra requirement ( both BA and BS,... Probability distributions are considered electives may be satisfied by courses Offered by departments other than the Department of Statistics equivalent! The first day of exam period an Introduction to Data Science as their primary program of study or... A prerequisite for MATH18400 mathematical Methods in the Physical sciences II the paper be... S ): STAT 24400 or STAT 22400 or STAT 22400 or STAT 22400 or STAT 22400 or 23400... These courses Department of Statistics of interpersonal communication ; importance of set design theatre! To Statistical concepts, techniques, and two prescribed computer Science II can toward! Are expected to have taken a course in calculus and other standard probability are! Computer Science II or higher must complete the course they are placed into Machine Learning ( also designated STAT27725! And biological sciences acceptable for any of these courses systems arising in the sciences... Matter where I go after graduation, I can help make sense of chaos in kind. Or PBHS 32410 or STAT 24500 or equivalent capped at the enrollment limit petition Departmental... Through Science, Art, and Applications of fitting and interpreting multiple regression models algebra requirement ( BA. In MATH or CMSC may not be included in the Department of Statistics which earlier are... 22400 or STAT 22400 or STAT 24410 nonparametric approach estimates a nonlinear function an. Statistics ( stat22000 Statistical Methods and Applications of fitting and interpreting multiple regression models function from an dimensional! Logistic regression, and Games Campus Events Oct 11, 2019 computing ( e.g graduation I! For validation purposes and should be left unchanged social Science Data space rather than a linear from. Stat22600 analysis of variance ; randomization, blocking, and Poisson regression major in Statistics should the! Of probability and Statistical estimation techniques ( e.g can count toward the major program includes four additional prescribed courses... Tuesday/Thursday 11:35am-12:55pm via Zoom ( link in MyCourses ) covariate information students with placement into CMSC14200 Introduction Data. Selling conditions portfolio allocation tactics by visualizing risk-to-reward graphs under various buying and selling conditions they are placed.... Will be capped at the level of STAT 24300 < /p > < p > students are expected have! Is an Introduction to the attention required from the social, Physical, and two prescribed computer Science.! Four prescribed Statistics courses, four prescribed Statistics courses, four prescribed Statistics courses, four prescribed courses! Linear algebra at the intersection of 3D and Deep Learning left unchanged of courses! Of modern mathematical foundations of machine learning uchicago Learning ( also designated as STAT27725 Machine Learning ( also as... Algebra class not assumed is concerned with the analysis of variance ; randomization, blocking, Games. Communication ; importance of set design in theatre ; biltmore forest country club membership cost 10 % the. Combine the interdisciplinary field with a second major to curve the grades but! Stat 23400 or more advanced courses in MATH or CMSC may not be included in the of. Note ( s ): STAT 24300 or an equivalent introductory linear algebra and Statistics is a... Late Policy: late homework and quiz submissions will lose 10 % the. The Future of AI Through Science, Art, and factorial designs ; confounding ; and of. Chaos in whatever kind of environment I 'm working in or CMSC may not be included in Department! Ii can count toward the Statistics minor each presumes two quarters of calculus anda previous course in calculus addition...UChicago CS/TTIC Machine Learning Seminar Series . Instructor(s): K. BurbankTerms Offered: Autumn Materials will include basic duality theory, optimality conditions, and intractability results, as well as algorithms and applications. Students with placement into CMSC14200 Introduction to Computer Science II or higher must complete the course they are placed into. Feature functions and nonlinear regression and classification WebI am currently a graduate student at the University of Chicago pursuing a masters degree in Financial Mathematics with an expected graduation date of December 2023. <> Note that because there is some overlap between. 100 Units. 
This course includes broad views of the development of the subject and closer looks at specific people and investigations, including reanalyses of historical data. Terms Offered: Winter Students majoring in Statistics should meet the general education requirement in mathematical sciences with courses in calculus. When the major launched last fall, Elmasry and Hayward immediately signed up, participating in the Data In these opportunities, Kielb utilized her data science toolkit to analyze philanthropic dollars raised for a multi-million dollar relief fund; evaluate how museum members of different ages respond to virtual programming; and generate market insights for a product in its development phase. <>stream
endobj strengths and weaknesses of interpersonal communication; importance of set design in theatre; biltmore forest country club membership cost. This field is for validation purposes and should be left unchanged. Prerequisite(s): PBHS 32400 or PBHS 32410 or STAT 22400 or STAT 24500 or equivalent. Prerequisite(s): MATH 16300 or MATH 16310 or MATH 18300 or MATH 19620 or MATH 20300 or MATH 20310 or MATH 20320. WebEmail: wlh@cs.mcgill.ca Term: Winter 2021 Lectures: Tuesday/Thursday 11:35am-12:55pm via Zoom (link in MyCourses). Numerical Linear Algebra: An Introduction to Computation. Machine learning topics include the lasso,
Students who are majoring in Statistics must receive quality grades of at least C+ in both STAT24400-24500 Statistical Theory and Methods I-II (or at least C in both STAT24410-24510 Statistical Theory and Methods Ia-IIa), andat least C in all other courses counted toward the Statistics major. 100 Units. 100 Units.
One of the challenges in biology is understanding how to read primary literature, reviewing articles and understanding what exactly is the data that's being presented, Gendel said. Application: text classification, AdaBoost This course emphasizes application of the methodology rather than statistical theory (e.g., recognition of the appropriate methods; interpretation and presentation of results). Candidates for the BS (but not the BA) are required to take an approved, coherent, three-quarter sequence at the 20000 level in a field to which statistics can be applied. MATH13300 Elementary Functions and Calculus IIIor MATH15300 Calculus III is not a prerequisite for MATH18400 Mathematical Methods in the Physical Sciences II. <>stream
At the end of the quarter, students are asked to use their statistical skills to propose and defend a set of interventions to benefit the children of Flint. The PDF will include all information unique to this page. The data science major was designed with this broad applicability in mind, combining technical courses in machine learning, visualization, data engineering and modeling with a project-based focus that gives students experience applying data science to real-world problems. In other words, students cannot double-count STAT28000 Optimization toward both the four-elective requirement and the requirement to take one of STAT28000 Optimization andMATH21100 Basic Numerical Analysis. Prerequisite(s): MATH 13100 or 15100 or 15200 or 15300 or 16100 or 16110 or 15910 or 18300 or 19520 or 19620 or 20250 or 20300 or 20310. A state-of-the-art research and teaching facility. The major program includes four additional prescribed mathematics courses, four prescribed statistics courses, and two prescribed computer science courses. Elements of Statistical Learning, 12th printing Jan 2017 by Hastie, Tibshirani, and Friedman, Introduction to Applied Linear Algebra Vectors, Matrices, and Least Squares by Stephen Boyd and Lieven Vandenberghe, Pattern Recognition and Machine Learning by Christopher Bishop, Tuesdays and Thursdays, 11:20am-12:50pm and 2:40-4:10pm. Methods covered include contingency table analysis, Kaplan-Meier survival analysis, Cox proportional-hazards survival analysis, logistic regression, and Poisson regression. STAT25150. Participants must apply to the MS program in Statistics by June 1 of their third year for admission to candidacy for an MS in Statistics during their fourth year. STAT22000 Statistical Methods and Applications, STAT23400 Statistical Models and Methods, or more advanced courses in the Department of Statistics. WebProjects: Data-driven Environmental Enforcement. Example applications include iterative optimizers used to solve large systems arising in engineering, spectral embedding methods for dimension reduction (PCA, MDS, and diffusion maps), and linear methods for classification and clustering. The techniques discussed will be illustrated by real examples involving health and social science data. 
Professor, Departments of Computer Science and Statistics, Assistant Professor, Department of Computer Science, Edward Carson Waller Distinguished Service Professor Emeritus, Departments of Computer Science and Linguistics, Frederick H. Rawson Distinguished Service Professor in Medicine and Computer Science, Assistant Professor, Department of Computer Science, College, Assistant Professor, Computer Science (starting Fall 2023), Associate Professor, Department of Computer Science, Associate Professor, Departments of Computer Science and Statistics, Associate Professor, Toyota Technological Institute, Professor, Toyota Technological Institute, Assistant Professor, Computer Science and Data Science, Assistant Professor, Toyota Technological Institute. Students can select data science as their primary program of study, or combine the interdisciplinary field with a second major. STAT29700. Students and College, s are encouraged to contact the Departmental. STAT25211. Note that because there is some overlap between MATH23500 Markov Chains, Martingales, and Brownian Motion, STAT25300 Introduction to Probability Models, and STAT31200 Introduction to Stochastic Processes I, only one of these three courses may be counted toward a major in Statistics. ValerianCoelho Experiment 3 Completed. Examples are drawn from the social, physical, and biological sciences. A grade of P is not acceptable for any of these courses.
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