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Quantitative and Computational Training Opportunities

The major focus in quantitative science is distributed across the University of Chicago, and our enrichment in the biological sciences division includes the Grossman Institute for Neuroscience, Quantitative Biology and Human Behavior, the Computation Institute (CI), the Center for Data Intensive Science (CDIS), Center for Research Informatics (CRI)Classes listed here are taken from across the University.

This page provides information regarding classes taught at the University relating to

Classes in General Quantitative Background

PBHS 32100Introduction to Biostatistics100
HGEN 47400Introduction to Probability and Statistics for Geneticists100
STAT 24400Statistical Theory and Methods I100
PBHS 32400Applied Regression Analysis100
PBHS 32700Biostatistical Methods100
PBHS 33200Statistical Analysis with Missing Data100
PBHS 33500Statistical Applications100
MPHY 34900Mathematics for Medical Physics100

Classes in Computation/Programming 

STAT 37810
  &  37820
Statistical Computing A
   and Statistical Computing B
100
ECEV 32000Introduction to Scientific Computing Skills for Biologists100

Classes in Linear Algebra

STAT 30750Numerical Linear Algebra100
PBHS 35100Health Services Research Methods100
PBHS 32600Analysis of Categorical Data100

Classes in Dynamical and Stochastic Systems

CPNS 31000Mathematical Methods for Biological Sciences I100
CPNS 31100Mathematical Methods for Biological Sciences II100
MGCB 32000Quantitative Analysis of Biological Dynamics100
MPHY 39600Image Processing and Computer Vision100

Classes in Inference (Models and Data)

HGEN 48600Fundamentals of Computational Biology: Models and Inference100
GEOS 36000Morphometrics100
GEOS 35100Data Analysis for the Geophysical Sciences100
GEOS 26100Phylogenetics and the Fossil Record100
GEOS 36100Phylogenetics and the Fossil Record100
PBHS 33300Applied Longitudinal Data Analysis100
PBHS 43201Introduction to Causal Inference100
PBHS 43010Applied Bayesian Modeling and Inference100
PBHS 33400Multilevel Modeling100

Courses in Complex Systems and Systems Biology

HGEN 47300Genomics and Systems Biology100
PHYS 25100Chaos, Complexity, and Computers100
STAT 38620Social Networks, Probability, Learning, and Game Theory100

Courses in Scientific Computing

STAT 37601Machine Learning and Large-Scale Data Analysis100
MPCS 53003Advanced Databases100
ECEV 32000Introduction to Scientific Computing Skills for Biologists100

Courses in Theory, computation and statistical inference in specific fields

ECEV 35600Principles of Population Genetics-1100
ECEV 42800Population Ecology100
ECEV 42900Theoretical Ecology100
HGEN 46900Human Variation and Disease100
HGEN 47100Intro Statistical Genetics100
CPNS 35510Theoretical Neuroscience: Single Neuron Dynamics and Computation100
CPNS 35520Theoretical Neuroscience: Network Dynamics and Computation100
CPNS 35600Theoretical Neuroscience: Statistics and Information Theory100
STAT 35800Statistical Applications100
STAT 35400Gene Regulation100
STAT 35500Statistical Genetics100
STAT 35600Applied Survival Analysis100
STAT 35700Epidemiologic Methods100
GEOG 38201Intro to Geographic Information Systems100
GEOG 38400Intermediate GIS100
PBHS 32901Introduction to Clinical Trials100
PBHS 33100Applied Survival Analysis100