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You are looking at Summer Session C 2026. That term is over, so these are last term's numbers rather than seats you can take. dibs holds 3 sections for Summer Session C 2026, read 29 days ago. Separately, it has finished 400 of the 3,572 courses on its current checking list for this term. Future-term coverage is incomplete, so a course with nothing here may simply not have been reached yet. Back to Fall 2026

STATS

Statistics

97 courses on record 0 with sections in Summer Session C 2026
97 courses

Grades awarded Fall 2021 to Fall 2025, every instructor,

A course with no letter grades has no average to report, which is not the same as a course that grades badly.

Lower division 7

Lower division courses in Statistics
Course Title Predicted GPA Summer Session C 2026
10 Introduction to Statistical Reasoning GE 3.43 9,438 grades not checked
12 Introduction to Statistical Methods for Geography and Environmental Studies GE 3.52 336 grades not checked
13 Introduction to Statistical Methods for Life and Health Sciences GE 3.50 6,844 grades not checked
15 Introduction to Data Science GE 3.65 352 grades not checked
19 Fiat Lux Freshman Seminars not checked
20 Introduction to Statistical Programming with R 3.58 2,991 grades not checked
21 Python and Other Technologies for Data Science 3.84 650 grades not checked

Upper division 31

Upper division courses in Statistics
Course Title Predicted GPA Summer Session C 2026
100A Introduction to Probability 3.55 2,470 grades not checked
100B Introduction to Mathematical Statistics 3.28 1,385 grades not checked
100C Linear Models 3.48 1,248 grades not checked
101A Introduction to Data Analysis and Regression 3.66 1,617 grades not checked
101B Introduction to Design and Analysis of Experiment 3.56 1,339 grades not checked
101C Introduction to Statistical Models and Data Mining 3.74 1,500 grades not checked
102A Introduction to Computational Statistics with R 3.34 1,544 grades not checked
102B Introduction to Computation and Optimization for Statistics 3.55 1,400 grades not checked
102C Introduction to Monte Carlo Methods 3.36 1,303 grades not checked
112 Statistics: Window to Understanding Diversity 3.83 187 grades not checked
115 Probabilistic Decision Making 3.85 106 grades not checked
C116 Applied Bayesian Social Statistics 3.92 71 grades not checked
133 Introduction to Text Mining Using R 3.75 69 grades not checked
140XP Collaboration in Data Science 3.59 1 grades · not checked
141XP Practice of Statistical Consulting 3.92 908 grades not checked
143 Introduction to Research in Statistics 3.64 33 grades not checked
147 Data Technologies for Data Scientists 3.97 216 grades not checked
M148 Experience of Data Science 3.92 76 grades not checked
153 Hierarchical Linear Modeling no grade history not checked
C155 Applied Sampling 3.45 43 grades not checked
C161 Introduction to Machine Learning and Artificial Intelligence 3.85 121 grades not checked
C163 Generative Data Science 3.67 7 grades · not checked
167 Introduction to Databases 3.93 79 grades not checked
M169 Causality X 3.51 17 grades · not checked
170 Introduction to Time-Series Analysis 3.50 29 grades not checked
C173 Applied Geostatistics 3.61 97 grades not checked
C180 Introduction to Bayesian Statistics 3.67 27 grades not checked
C183 Statistical Models in Finance 3.61 182 grades not checked
184 Societal Impacts of Data 3.95 241 grades not checked
186 Careers in Statistics not checked
199 Directed Research in Statistics 3.76 10 grades · not checked

Graduate 59

Graduate courses in Statistics
Course Title Predicted GPA Summer Session C 2026
200A Applied Probability 3.63 158 grades not checked
200B Theoretical Statistics 3.73 100 grades not checked
200C High Dimensional Statistics 3.78 54 grades not checked
201A Research Design, Sampling, and Analysis 3.71 131 grades not checked
201B Statistical Modeling and Learning 3.94 118 grades not checked
201C Advanced Modeling and Inference 3.68 82 grades not checked
202A Statistics Programming 3.91 180 grades not checked
202B Matrix Algebra and Optimization 3.78 101 grades not checked
202C Monte Carlo Methods for Optimization 3.79 88 grades not checked
203 Large Sample Theory, Including Resampling 3.86 48 grades not checked
205 Hierarchical Linear Models 3.86 38 grades not checked
210 Computer Intensive Methods 3.77 19 grades · not checked
211 Topics in Economics and Machine Learning 3.90 42 grades not checked
212 Graphical Models 3.74 36 grades not checked
C216 Applied Bayesian Social Statistics 3.83 21 grades not checked
218 Statistical Analysis of Networks 3.91 47 grades not checked
219 Topics in Reinforcement Learning 3.77 14 grades · not checked
221 Time-Series Analysis 3.84 32 grades not checked
M222 Spatial Statistics 3.77 14 grades · not checked
M231A Pattern Recognition and Machine Learning 3.95 142 grades not checked
231B Methods of Machine Learning 3.89 56 grades not checked
232C Cognitive Artificial Intelligence 3.88 31 grades not checked
C236 Introduction to Bayesian Statistics 3.82 19 grades · not checked
240 Multivariate Analysis 3.81 16 grades · not checked
M243 Logic, Causation, and Probability 3.69 12 grades · not checked
M254 Statistical Methods in Computational Biology 3.91 95 grades not checked
256 Causality 3.93 79 grades not checked
C261 Introduction to Machine Learning and Artificial Intelligence 3.69 27 grades not checked
C263 Generative Data Science 3.74 17 grades · not checked
C283 Statistical Models in Finance no grade history not checked
285 Seminar: Computing for Statistics not checked
290 Current Literature in Statistics not checked
291XP Service Learning for Graduate Statistical Consulting no grade history not checked
296 Participating Seminar: Statistics not checked
400 Introduction to Probability Modeling 3.91 212 grades not checked
401 Survey of Methods in Modern Statistics 3.90 148 grades not checked
402 Applied Regression 3.92 212 grades not checked
403 Mathematical Statistics 3.77 139 grades not checked
404 Statistical Computing and Programming 3.95 153 grades not checked
405 Data Management 3.94 166 grades not checked
411 Multivariate Statistical Analysis 3.90 79 grades not checked
412 Advanced Regression and Predictive Modeling 3.64 78 grades not checked
413 Machine Learning 3.94 161 grades not checked
414 From Predictive Artificial Intelligence to Generative Artificial Intelligence 3.74 41 grades not checked
416 Applied Geostatistics 3.67 15 grades · not checked
417 Models in Finance 3.79 53 grades not checked
419 Experimental Design 3.64 58 grades not checked
420 Causal Inference 3.85 24 grades not checked
421 Advanced Statistical Communication 3.91 120 grades not checked
422 Data Visualization 3.92 59 grades not checked
425 Large Language Models in Text Mining 3.77 56 grades not checked
426 Deep Learning no grade history not checked
495A Teaching College Statistics not checked
496 Statistics Internship no grade history not checked
497 Directed Individual Study or Research no grade history not checked
498 MAS Thesis Research no grade history not checked
596 Directed Individual Study or Research 3.96 116 grades not checked
598 MS Thesis Research no grade history not checked
599 PhD Dissertation Research not checked