Specific topics include maximum likelihood estimation, posterior distributions, confidence and credible intervals, principles of hypothesis testing, likelihood ratio tests, multinomial distributions, and chi-square tests. is more mathematically demanding than either, Students considering a major in Statistics are encouraged to begin with either, or with the alternative sequence consisting of, . WebThis weekend, the University of Chicago Class of 2022 will graduate and celebrate convocation.

3 commits. Students with credit for STAT 20010, STAT 22000, STAT 23400, or more advanced courses in Statistics not admitted. Terms Offered: Autumn

The new major is part of the University of Chicago Data Science Initiative, a coordinated, campus-wide plan to expand education, research, and outreach in this fast-growing field. Trustworthy Machine Learning. We will examine a range of modern methods that provide statistical inference tools in the context of modern large-scale data analysis. Equivalent Course(s): DATA 27751, STAT 37787. Calculate the area under any curve using integral calculus. This course introduces stochastic processes as models for a variety of phenomena in the physical and biological sciences. Students in this class are required to do final projects in small groups. Applications: bioinformatics, face recognition, Week 3: Singular Value Decomposition (Principal Component Analysis), Dimensionality reduction 5801 S. Ellis Ave., Suite 120, Chicago, IL 60637, Jon Stewart, Bob Woodward to discuss military and veterans issues at UChicago event, Winners of the 2023 UChicago Science as Art competition announced, Prof. Wendy Freedman to present Ryerson Lecture on Our Expanding Universe, Oriental Institute changes name to the Institute for the Study of Ancient Cultures, West Asia & North Africa, A surprisingly simple explanation for interstellar visitor Oumuamuas weird orbit, Former U.S. ambassador to Russia talks about global reverberations created by war in Ukraine, Giant planets can have very different atmospheres, according to NASAs Webb telescope, Was Venus ever habitable? Appligent AppendPDF Pro 6.3 Students who have already taken STAT 25100 have the option to take STAT 24410 (if offered) instead of STAT 24400. Numerical Linear Algebra: An Introduction to Computation. MATH13300 Elementary Functions and Calculus IIIor MATH15300 Calculus III is not a prerequisite for MATH18400 Mathematical Methods in the Physical Sciences II. Instructor(s): K. BurbankTerms Offered: Winter

Only one of STAT 20000, STAT 20010, or STAT 22000, can count toward the general education requirement in the mathematical sciences. The BS also requires an additional prescribed mathematics course and an approved, coherent, three-quarter sequence at the 20000 level in a field to which statistics can be applied. STAT11800-11900 Introduction to Data Science I-II has considerable overlap with STAT22000 Statistical Methods and Applications, but has a more computational and less mathematical emphasis than STAT22000 Statistical Methods and Applications. This course is the second quarter of a two-quarter systematic introduction to the principles and techniques of statistics, as well as to practical considerations in the analysis of data, with emphasis on the analysis of experimental data. 100 Units. This course introduces the foundations of machine learning and provides a systematic view of a range of machine learning algorithms.

We will prioritize answering questions posted to Piazza, and will not answer individual emails. Terms Offered: Spring Simple techniques for data analysis are used to illustrate both effective and fallacious uses of data science tools. A computer graphics collective at UChicago pursuing innovation at the intersection of 3D and Deep Learning. Prerequisite(s): Consent of faculty adviser and Departmental Adviser for Majors The courses provided Hitchings with technical skills in programming, data analytics, statistical prediction and visualization, and allowed her to exercise that new toolset on real-world problems. Instructor(s): James DignamTerms Offered: Winter Foundations of Machine Learning fills the need for a general textbook that also offers theoretical details and an emphasis on proofs. Such courses must have a minimum statistics prerequisite of introductory statistics (STAT22000 Statistical Methods and Applications,STAT23400 Statistical Models and Methods,STAT24500 Statistical Theory and Methods II, orSTAT24510 Statistical Theory and Methods IIa), incorporate a considerable amount of data analysis, and cannot substantially overlap with the topics covered in departmental courses or other courses in the student's minor program. A score of 5 on the AP Statistics exam yields credit for STAT22000 Statistical Methods and Applications, although this credit will not count toward the requirements for a major or minor in Statistics. 100 Units. Random forests, bagging <>stream These data have the potential to shed light on the genetic factors influencing traits and diseases, as well as on questions of ancestry and population history. Introduction to Statistical Genetics. Equivalent Course(s): CAAM 24310. MIT Press, Second Edition, 2018. 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. Also two quarters of calculus (MATH 13200 or 15200 or 15300 or 16200 or 16210 or 15910 or 18300 or 19620 or 20250 or 20300 or 20310). Prerequisite(s): STAT 24400 or STAT 24410 w/B- or better is required; alternatively STAT 22400 w/B+ or better and exposure to multivariate calculus (MATH 16300 or MATH 16310 or MATH 18400 or MATH 19520 or MATH 20000 or MATH 20500 or MATH 20510 or MATH 20800) and linear algebra (MATH 18600 or 19620 or 20250 or 20700 or STAT 24300 or equivalent). 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. We will focus on the computational complexity and stability of each algorithm, as well as its practical uses. Rob Mitchum. STAT20010. No biological background is needed, but a strong foundation in linear algebra, as well as probability and statistics at the level of STAT 24400-STAT 24500 or higher is assumed. Some principles of data analysis are introduced, and an attempt is made to present the analysis of variance and regression in a unified framework. Statistical Theory and Methods II. Concepts of bi-stability, spontaneous oscillations, and chaotic dynamics will be explored through investigation of conceptual mathematical models arising in the physical and biological sciences. Reflecting the holistic vision for data science at UChicago, data science majors will also take courses in Ethics, Fairness, Responsibility, and Privacy in Data Science and the Societal Impacts of Data, exploring the intensifying issues surrounding the use of big data and analytics in medicine, policy, business and other fields. In this class, we will introduce some basic concepts and methods in causal inference and discuss examples from various disciplines. 2021-10-05T12:37:04-07:00 100 Units. Introduction to Data Science I. Prerequisite(s): Linear algebra (MATH 18600 or 19620 or 20250 or STAT 24300 or equivalent) and (STAT 24400 or STAT 24410). Further Topics in Machine Learning. Every candidate must obtain approval of his or her course program from the Departmental Adviser for Majors. Winter

It is the study of how diseases are distributed across populations and how one designs population-based studies to learn about disease causes, with the object of identifying preventive strategies. Students are expected to have taken calculus and have exposure to numerical computing (e.g. Graduate students in Statistics or Financial Mathematics can enroll without prerequisites. Loss, risk, generalization Generally, no more than two electives may be satisfied by courses offered by departments other than the Department of Statistics. This course on Mathematical Foundations of Machine Learning is complete, but we want to add supplementary information from relevant areas outside of math in the future, such as probability, statistics, data structures, algorithms, and optimization. endstream Researchers explore the next generation of learning methods, including machine teaching, human-centered AI, and applications in language, image processing, and scientific discovery. Spring STAT24410-24510 Statistical Theory and Methods Ia-IIais an alternative version of STAT24400-24500 Statistical Theory and Methods I-II that requires STAT25100 Introduction to Mathematical Probability (or STAT25150 Introduction to Mathematical Probability-A) as a prerequisite and that replaces some probability topics with additional statistical topics not normally covered in STAT24400-24500 Statistical Theory and Methods I-II. All sequences must be approved by the Departmental Adviser for Majors. Mathematics plays a major role in all areas of statistics, from probability theory to data analysis. WebNow supporting the University of Chicago. STAT26100.

100 Units. endobj Ph: 773-702-7891 Some of the approved electives offered by other departments also bear a Statistics course number and some do not. Bachelor's Paper. STAT25300. Introduction to Probability Models. Youshould make the request for Pass/Fail grading in writing (private note on Piazza). Winter The new paradigm of computing, harnessing quantum physics. In recent years, Bayes and empirical Bayes (EB) methods have continued to increase in popularity and impact. Computation is an essential topic across the physical and social sciences, in statistics, data science, and machine learning. Because the benefits of collaborative learning can only be gained through consistent effort and attendance, this zero-credit course is graded P/F based on the student's level of participation and attendance. Open to all students, including non-majors. Students may count either STAT 24400 or STAT 24410, but not both, toward the forty-two credits required for graduation. Although students with a strong mathematical background can and do take either, ) without prior course work in statistics or probability, some students find it helpful to take either. endobj I also prefer the discussion on the foundations of mathematics to be found in the less expensive Dover reprint of Kleene's "Mathematical Logic" another fine Prerequisite(s): PBHS 32400 or PBHS 32410 or STAT 22400 or STAT 24500 or equivalent. Probability is developed for the purpose of modeling outcomes of random phenomena. The Neumann network architecture outperforms traditional inverse problem solution methods, model-free deep learning approaches, and state-of-the-art unrolled iterative methods on standard datasets.

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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. Students majoring in Statistics should meet the general education requirement in mathematical sciences with courses in calculus. Prerequisite(s): Corequisite: Concurrent enrollment in STAT 20000. Final reports based on the group projects will be due by the end of the exam week. Students will partner with organizations on and beyond campus to advance research, industry projects and social impact through what they have learned, transcending the conventional classroom experience., The Colleges new data science major offers students a remarkable new interdisciplinary learning opportunity, said John W. Boyer, dean of the College. For BIOS students-completion of the first three quarters of a Biological Sciences Fundamentals sequence. 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. Students may count either STAT22600 Analysis of Categorical Data or STAT22700 Biostatistical Methods, but not both, toward the major. STAT24630. Elena also offers fundamental reviews for those who are currently not in Chicago. Stephen Tu (Google)- The foundations of machine learning for feedback control Date & Time: April 6, 2023 2:00 pm 3:00 pm Location: Crerar 298, 5730 S. Ellis STAT13820. "The urgency with which businesses need strong data science talent is rapidly increasing, said Kjersten Moody, AB98 and chief data officer at Prudential Financial.

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