Interdisciplinary Grant in Biostatistics
 


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EPIDEMIOLOGY

Emphasis in Quantitative Genomics in Epidemiology: Required and Suggested Courses

The suggested schedule below contains courses that are required for Epidemiology students supported by the training grant in quantitative genomics. This schedule satisfies the epidemiology requirement that all students take 10 credit hours in two minors (here: biostatistics and genetic epidemiology). Students still need to satisfy other requirements for the epidemiology doctoral degree (e.g. they should choose electives so they are prepared for the substantive portion of the screening exam; they should ensure they have 20 credit hours in epidemiology courses; and they should complete EPI205, which is typically taken in the Fall of Year 3, after completion of the written exam).

Fall - Year 1:

  • EPI 201 Introduction to Epidemiology
  • EPI 249 Molecular Biology for Epidemiologists
  • BIO 201 Intro to Statistical Methods
  • EPI 202 Elements Epidemiologic Research
  • EPI 507 Genetic Epidemiology
  • EH 205 Human Physiology

Spring - Year 1:
  • EPI 289 Causal Inference
  • BIO 210 Analysis of Rates & Proportion or BIO 213 Applied Regression for Clinical Research
  • BIO 292 Intro to Genomics/Bioinformatics
  • EPI 204 Analysis Case-Control & Cohort
  • EH 208 Pathophysiology of Human Disease
  • DBS 200 Wet Lab Rotation

Fall - Year 2:

  • EPI 207 Advanced Epidemiologic Methods
  • BIO 227 Fundamental Concepts in Gene Mapping
  • EPI 247 EPI Methods Development
  • BIO 510 Programming I
  • EPI 300 Independent Study - Dry Lab Rotation
  • Electives

Spring - Year 2:
  • BIO 223 Applied Survival Analysis or BIO 226 Applied Longitudinal Analysis [Fall Semester]
  • EPI 294 Sreening
  • EPI 300 Independent Study - Dry Lab Rotation
  • Electives

Other Courses Relevant to Quantitative Genomics:

Genetic Epidemiology and Epidemiologic Methods
  • EPI 222 Genetic Epidemiology of Diabetes and its Complications
  • EPI 244 Genetic Epidemiology of Psychiatric Disorders
  • EPI 293 Analysis of Genetic Association Studies Using Unrelated Subjects
  • EPI 511 Advanced Population and Medical Genetics
  • ID 542 Methods for Mediation and Interaction
  • EH 298 Environmental Epigenetics
  • EH 516 Environmental Genetics
  • IMI 231 Introduction to Computational Genomics for Infectious Disease
Molecular Biology, Physiology, and Genetics
  • GEN 201 Principles of Genetics
  • BCMP 200 Molecular Biology
  • MICRO 200 Molecular Microbiology and Pathogenesis
Biostatistics
  • BIO 235 Advanced Regression and Statistical Learning Methods
  • BIO 244 Analysis of Failure Time Data
  • BIO 245 Multivariate and Longitudinal Data Analysis
  • BIO 249 Bayesian Methods in Biostatistics or STAT 220 Bayesian Data Analysis
  • BIO 250 Probability Theory and Applications II
  • BIO 251 Statistical Inference II
Computational Biology and Bioinformatics
  • BIO 513 Advanced Computational Biology and Bioinformatics
  • HST 508/Biophysics 170 Quantitative Genomics and Evolution
  • Biophysics 205 Computational and Functional Genomics
Data Structures and Programming
  • BIO 511 Programming II
  • BIO 514 Introduction to Data Structures and Algorithms