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Refer to the Class Schedule for additional information.
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Course NumberSemesterCourse nameCourse InstructorIn person or Online LectureLecture Days and TimesAsynchronous or SynchronousTime Conflicts Allowed with Lecture?Time Conflicts Allowed with Labs?Requisite EnforcementEnrollment Appeal Form (if applicable)Reserved Seating?Additional Notes
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2Spring 2022Introduction to Statistics TBD Online Asynchronous LectureY (updated 11/1/21)10/18/21: UPDATED TIME enrollment will open = 2pm today. 10/15/21: The course proposal was approved! We will open Stat 2 enrollment on Monday, 10/18/21 at Noon. 10/11/21: Waiting for approval to offer Stat 2 online, so course is not on schedule right now.
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C8Spring 2022Foundations of Data Science (DS Admin) J. DeNero & S. Sahai In person MWF 10:00-11:00am Administered by Data Science and all seats listed under Data C8. Email ds-enrollments@berkeley.edu for questions. See Data Science Enrollment FAQs and Data Science Spring 2022 Course Page.
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20 Lec 001Spring 2022Introduction to Probability and Statistics A. Bray In person MWF 11:00am-12:00pm SynchronousNoNoTo compare Stat 20 Lectures see: https://docs.google.com/spreadsheets/d/1eCUfVanlLuH05VwoojOtTsQ42lN1fBLSUfqBdodzVjU/edit?usp=sharing
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20 Lec 002 (class# 31141)Spring 2022Introduction to Probability and Statistics A. Bray In person (simulcast) MWF 11:00am-12:00pm SynchronousYesNo11/18/21: Lec 2 and Lec 3 are available for enrollment. To compare Stat 20 Lectures see: https://docs.google.com/spreadsheets/d/1eCUfVanlLuH05VwoojOtTsQ42lN1fBLSUfqBdodzVjU/edit?usp=sharing 11/17/21: Lec 2 and Lec 3 will be open for enrollment 11/18/21 at 1:00pm. 11/16/21: Additional Stat 20 lectures and lab sections will be available for enrollment on Thursday, 11/18. More details will be available tomorrow. 11/15/21: The online lecture was approved by COCI but we are still in the process of setting up the course for enrollment with the instructor. 11/1/21: The proposal for an online lecture is still pending approval and will need to be re-evaluated at the next Academic Senate's COCI meeting. We hope to have another update by 11/15/21. 10/18/21: Waiting for approval to offer Stat 20 Lec 2 online, so the online lecture is not on the schedule right now. Students who want to take Stat 20 and enroll in the online lecture can add to the Lec 1 waitlist and we will notify the waitlist students when the online lecture is on the schedule. Alternatively, students can simply check updates to this spreadsheet on Oct. 30th.
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20 Lec 003 (class# 32785)Spring 2022Introduction to Probability and Statistics A. Bray Online N/A (asynchronous) Asynchronous LectureYesNo11/18/21: Lec 2 and Lec 3 are available for enrollment. To compare Stat 20 Lectures see: https://docs.google.com/spreadsheets/d/1eCUfVanlLuH05VwoojOtTsQ42lN1fBLSUfqBdodzVjU/edit?usp=sharing 11/17/21: Lec 2 and Lec 3 will be open for enrollment 11/18/21 at 1:00pm. 11/16/21: Additional Stat 20 lectures and lab sections will be available for enrollment on Thursday, 11/18. More details will be available tomorrow. 11/15/21: The online lecture was approved by COCI but we are still in the process of setting up the course for enrollment with the instructor. 11/1/21: The proposal for an online lecture is still pending approval and will need to be re-evaluated at the next Academic Senate's COCI meeting. We hope to have another update by 11/15/21. 10/18/21: Waiting for approval to offer Stat 20 Lec 2 online, so the online lecture is not on the schedule right now. Students who want to take Stat 20 and enroll in the online lecture can add to the Lec 1 waitlist and we will notify the waitlist students when the online lecture is on the schedule. Alternatively, students can simply check updates to this spreadsheet on Oct. 30th.
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33ASpring 2022Introduction to R G. Sanchez In person Friday 9:00-10:00am Asynchronous optionsNoNo
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33BSpring 2022Introduction to Advanced R G. Sanchez In person Wed 2:00-3:00pm Asynchronous optionsNoNo
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88Spring 2022Probability and Mathematical Statistics in Data Science S. Stoyanov In person TTh 6:30-8:00pm Asynchronous optionsNoNoPrerequisite: One semester of calculus: MATH 16A, MATH 10A, or MATH1A; Corequisite or Prerequisite: Foundations of Data Science: STAT/COMPSCI/DATA/INFO C81/14/22: Dis 101 and Dis 111 CANCELLED (enrolled students emailed). Students planning to take STAT/COMPSCI/DATA/INFO C8 concurrently with Stat 88 must first be fully enrolled before they can enroll in Stat 88. Prof Stoyanov will allow students who have taken Stat 20 instead of Data C8 to enroll in Stat 88, but need to be aware that Python will be used in Stat 88. Students can email stat-enrollments@berkeley.edu for a permission # to enroll in 88 if they've taken Stat 20 instead of Data C8 and satisfy the remaining prerequisites.
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C100Spring 2022Principles & Techniques of Data Science (DS Admin) J. Hug & L. Yan In person TTh 3:30-5:00pm Administered by Data Science and all seats listed under Data C100. Email ds-enrollments@berkeley.edu for questions. See Data Science Spring 2022 Course Page.
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C102Spring 2022Data, Inference, and Decisions (DS Admin) N. Haghtalab & R. Sridharan Online TTh 9:30-11:00am 30 seats for Senior Statisitcs majorsAdministered by Data Science and all seats listed under Data C102. Email ds-enrollments@berkeley.edu for questions. See Data Science Spring 2022 Course Page.
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C131ASpring 2022Introduction to Probability and Statistics for Life Sciences S. Stoyanov In person TTh 2:00-3:30pm Asynchronous optionsNoNo(Requisites enforced by the enrollment system) Prerequisites: STAT/COMPSCI/DATA/INFO C8 or STAT 20; and either MATH 1A, MATH 16A, MATH 10A, or MATH 10B.https://forms.gle/RtoqAW8aXvrnqGxW6 Cross-listed with DATA C131A but all seats are listed under Stat C131A.
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133Spring 2022Concepts in Computing with Data G. Sanchez In person MWF 11:00am-12:00pm Asynchronous optionsNoNo
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134Spring 2022Concepts of Probability A. Lucas In person MWF 10:00- 11:00am NoNo
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135Spring 2022Concepts of Statistics Rebecca Barter (updated 12/20/21) In person TTh 11:00am-12:30pm Asynchronous optionsNoNo12/20/21: New Instructor added: Prof. Rebecca Barter. 11/1/21: Instructor removed. New instructor TBD.
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C140Spring 2022Probability for Data Science (DS admin) A. Adhikari In person TTh 5:00-6:30pm (Requisites enforced by the enrollment system) Prerequisites: STAT/COMPSCI/DATA/INFO C8, or STAT/COMPSCI/DATA C100, or both STAT 20 and COMPSCI 61A; and MATH 1B or higher. Corequisite: MATH 54, EL ENG/EECS 16A, STAT 89A, MATH 110 or equivalent linear algebraAdministered by Data Science and all seats listed under DATA C140. See Data Science Spring 2022 Course Page. Email ds-enrollments@berkeley.edu for questions.
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150Spring 2022Stochastic Processes Visiting Professor - Benson Au In person MWF 1:00-2:00pm SynchronousN/A (no labs)
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152Spring 2022Sampling Surveys TBD In person TTh 11:00am-12:30pm 11/8/21: Unfortunately, Stat 152 will not be offered in SP22. Not yet open for enrollment since instructor is still being identified.
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153Spring 2022Introduction to Time Series Visiting Professor - Ruoqi Yu In person TTh 8:00-9:30am SynchronousNoNo
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154Spring 2022Modern Statistical Prediction and Machine Learning TBD In person TTh 5:00-6:30pm (Requisites enforced by the enrollment system) Prerequisites: MATH 53; and MATH 54; and STAT 135.forthcoming35 out of 70 seats reserved for Statistics majors through end of Phase 1
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155Spring 2022Game Theory A. Lucas In person MWF 9:00-10:00am SynchronousNoN/A (no labs)50 out of 70 seats reserved for Statistics majors through end of Phase 111/5/21: Enrollment limit increased to 100.
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157Spring 2022Seminar on Topics in Probability & Statistics J. Steinhardt In person MWF 11:00am-12:00pm SynchronousNoN/A (no labs)20 out of 35 seats reserved for Statistics majors through end of Phase 1Forecasting has been used to predict elections, climate change, and the spread of COVID-19. Poor forecasts led to the 2008 financial crisis. In our daily lives, good forecasting ability can help us plan our work, be on time to events, and make informed career decisions. This practically-oriented class will provide you with tools to make good forecasts, including Fermi estimates, calibration training, base rates, scope sensitivity, and power laws. We'll discuss several historical instances of successful and unsuccessful forecasts, and practice making forecasts about our own lives, about current events, and about scientific progress. Prerequisite: Stat 134
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159Spring 2022Reproducible and Collaborative Statistical Data Science F. Perez In person Wed 2:00-5:00pm SynchronousNoNoPrep: Python programming at the level of Data 100.
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C200CSpring 2022Principles & Techniques of Data Science (DS Admin) J. Hug & L. Yan In person TTh 3:30-5:00pm Administered by Data Science and all seats listed under DATA C100. See Data Science Spring 2022 Course Page. Email ds-enrollments@berkeley.edu for questions.
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C205BSpring 2022Probability Theory S. Evans In person TTh 2:00-3:30pm SynchronousNoNo
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C206BSpring 2022Stochastic Processes: Static and dynamical aspects of random surface models S. Ganguly In person TTh 3:30-5:00pm 1/6/22: Topic title and description added to class listing.
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210BSpring 2022Theoretical Statistics S. Mei In person TTh 9:30-11:00am 15 seats reserved for Statistics PhD students
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215BSpring 2022Statistical Models: Theory and Application E. Purdom In person TTh 12:30-2:00pm 15 seats reserved for Statistics PhD students
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222Spring 2022Masters of Statistics Capstone Project T. Bengstron, L. Pospisil In Person Tues 5:00 pm - 7:59pm All seats reserved for Statistics MA students
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230ASpring 2022Linear Models P. Deng In person TTh 2:00-3:30pm SynchronousNoNoAll seats reserved for Statistics MA studentsNot accepting undergraduates at this time.
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232Spring 2022Experimental Design S. Pimentel In person TTh 3:30-5:00pm SynchronousNoYes (update 1/10/22) No Randomization, blocking, factorial design, confounding, heterogeneous effects, interference, generalizability, sequential experiments.
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C241BSpring 2022Advanced Topics in Learning and Decision Making: "Approximate Dynamic Programming and Reinforcement Learning" M. Wainwright In person TTh 5:00-6:30pm Permission Number requiredhttps://forms.gle/mVSaNMcWFYgfxejYABy Instructor Permission Only. Restricted to PhD students.11/22/21: ADDED TO SCHEDULE. Enrollment by Permission Only. This class is a limited enrollment PhD level class focused on theory/algorithms for approximate dynamic programming and reinforcement learning. Only PhD students will be considered, with priority given to students in Statistics, EECS, and Math before considering other departments. All students should have strong backgrounds in linear algebra, real analysis, probability, and statistics; in addition, they should have taken STAT 210A, and have had exposure to optimization/algorithms at the level of EECS 227A/C or equivalent. Strong performance in other graduate courses, among them STAT C205A, STAT 210B, EECS 226A, and EECS 229A, will increase likelihood of enrollment.

To request instructor permission to enroll, complete this form: https://forms.gle/mVSaNMcWFYgfxejYA
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248Spring 2022Time Series A. Guntuboyina In person TTh 11:00am-12:30pm 10 seats reserved for Statistics PhDs11/19/21: Enrollment expanded. Additional Lab 102 Opened.
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259Spring 2022Reproducible and Collaborative Statistical Data Science F. Perez In person Wed 2:00-5:00pm SynchronousNoNoPrep: Python programming at the level of Data 100.
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260Spring 2022Topics in Probability & Statistics J. Steinhardt In person MWF 11:00am-12:00pm Forecasting has been used to predict elections, climate change, and the spread of COVID-19. Poor forecasts led to the 2008 financial crisis. In our daily lives, good forecasting ability can help us plan our work, be on time to events, and make informed career decisions. This practically-oriented class will provide you with tools to make good forecasts, including Fermi estimates, calibration training, base rates, scope sensitivity, and power laws. We'll discuss several historical instances of successful and unsuccessful forecasts, and practice making forecasts about our own lives, about current events, and about scientific progress.
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272Spring 2022Statistical Consulting J. Mcauliffe In person Mondays 2:00-4:00pm Advanced PhDs
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375Spring 2022Professional Preparation: Teaching of Probability and Statistics A. Bray In person Mon 2-4pm (updated 1/10/21) Wed 3:00-5:00pm All seats require Permission NumberNew Stat GSIs/UGSIs
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