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For information only; ITiMS ended in 2025
For information only; ITiMS ended in 2025
An ITiMS training program will include:
Didactic and practical training in population and laboratory approaches.
Instruction in relevant statistics and/or bioinformatics analytic techniques.
Instruction in mathematical modeling.
Each student’s training program should help them develop expertise in each of the following areas:
Modeling simulation and dynamics.
Principles of study design.
Community ecology or epidemiology or population genetics.
Math, statistics, and bioinformatics.
Principles of microbiology, molecular biology and genetics.
In-depth knowledge of one aspect of microbiology, molecular biology and genetics.
Laboratory techniques.
Students and faculty could suggest additional courses that may be appropriate (provide course syllabus) or attendance at workshops or trainings (provide course materials). As a general rule, only graduate level classes are considered appropriate to meet the requirements. Undergraduate courses should have upper level or graduate content and should be justified.
Modeling Simulation and Dynamics
Modeling Simulation and Dynamics
BIOINF 463 - Mathematical modeling in biology
BIOINF520 – Computational systems biology in physiology
BIOLCHEM 673 - Kinetics and Mechanism
CMPLXSYS 425 - Evolution In Silico
CEE 592 - Biological Processes in Environmental Engineering
CMPLXSYS 501 - Introduction to complex systems
CMPLXSYS 510 - Introduction to dynamical systems for complex systems & life sciences (MATH 550)
CMPLXSYS 535 - Network theory (PHYSICS 508)
CMPLXSYS 511 - Theory of complex systems
CMPLXSYS 608 - Network theory of complex systems
EEB 408 - Modeling for Ecology and Evolutionary Biology
EEB 466 - Mathematical ecology (MATH 466)
EEB 480 - Interrogating data with models
EEB 485 - Population and community ecology
EECS 183, EECS 498, BIOINF 575 - Introductory computer programming (C++, Python, java)
EECS 402 - Computer programming for scientists & engineers
EECS 587 - Parallel computing
EPID 602 - Foundations in Infectious Disease Transmission Modeling
EPID 603 - Introduction to Mathematical Modeling in Epidemiology and Public Health
EPID 606 - Advanced Infectious Diseases
EPID 633 – Introduction to mathematical modeling in epidemiology and public health
EPID 634 – Foundations in Infectious Disease Transmission Modeling
EPID 635 - Advanced Infectious Diseases
EPID 636 – Cancer risk and epidemiology modeling
EPID 637 – Systems modeling of behavior social processes and chronic disease
EPID 784 – Complex systems modeling for public health research
MATH 463 - Introduction the Mathematical Biology
MATH 540 - Mathematics of Biological Networks
MECHENG 589 - Sustainable Design of Technological Systems
Physics 630 - Biological Physics
PHYSIOL 519 - Systems biology
Numerous other courses are offered across the UM campus in advanced computing topics through the EECS and Computer & Information Systems programs
Study Design
Study Design
EHS 608 - Environmental epidemiology
EPID 503 - Strategies and uses of Epidemiology
EPID 582 - Molecular Epidemiology
EPID 600 - Introduction to Epidemiology
EPID 601 - Principles and Methods of Epidemiology
EPID 605 - Introduction to Infectious Disease Epidemiology
EPID 709 - Fundamentals of Epidemiology
EPID 811 - Critical Appraisal of Epidemiologic Studies
EPID 823 - Advanced Topics in Cardiovascular Disease
EPID 824 - Advanced Epidemiologic Methods
Epidemiology Graduate Summer Session (1 week course)
IOE 465 - Design of Experiment
Population Genetics
Population Genetics
"population genetics: the study of the genetic composition of populations. Population geneticists try to estimate gene frequencies and detect the selective influences that determine them in natural populations." ~A Dictionary of Genetics
BIOS 665 - Statistical population genetics
BIOS 666 - Statistical models and numerical methods in human genetics
CEE 582 - Environmental Microbiology
EARTH 523 - Microbial Community Omics
EEB 412 - Molecular Ecology
EEB 404 - Genetics, development and evolution
EEB 490 - Evolution at the population level
EHS 660 - Principles of Epigenetics
EPID 505 - Polymicrobial Communities In Human Health And Disease
EPID 516 - Genetics in Epidemiology
HUM GEN 544 - Basic Concepts in Population and Statistical Genetics
NIMBios videos - https://goo.gl/StK7cB (ask for more info regarding course work)
Math, Statistics, and Bioinformatics
Math, Statistics, and Bioinformatics
BIOINF 501 - Introduction to mathematics for the life sciences & informatics
BIOINF 520 - Computational systems biology in physiology (PHYSIOL 520)
BIONINF 523 - Bioinformatics Basic Biology Lab
BIOINF 525 - Foundations in bioinformatics & systems biology
BIOINF 526 - Fundamentals of bioinformatics
BIOINF 527 - Introduction to bioinformatics & computational biology
BIOINF 528 - Bioinformatics and computational modeling of proteins
BIOINF 545 - High-throughput molecular genomic and epigenomic data analysis
BIOINF 547 - Probabilistic modeling in bioinformatics
BIOINF 563 - Advanced mathematical methods for biological sciences
BIOINF 668 - Introduction to health informatics
BIOSTAT 503 - Introduction to biostatistics
BIOSTAT 523 - Biostatistical Analysis for Health-Related Studies
BIOSTAT 553 - Applied Biostatistics
BIOSTAT 560 - Statistical Methods in Epidemiology
BIOSTAT 601 - Analysis of multivariate and categorical data
BIOSTAT 650 - Spplied Statistics I: Linear Regression
EARTH 523 - Microbial Community Omics
EEB 466 - Mathematical Ecology
EEB 480 - Model-based Statistical Inference in Ecology
EHS/EPID 675 - Data Analysis for Environmental Epidemiology
MATH 217 - Linear algebra
MICRBIOL 612 - Microbial informatics
STATS 400 - Introduction to statistics
STATS 425 - Introduction to Probability (Math 425)
STATS 500 - Statistical Learning I: Regression
Software Carpentry Workshops by Pat Schloss
Numerous other courses are offered across the UM campus in advanced statistical analyses and models through the STAT and BIOSTAT programs
Principles of Microbiology, Molecular Biology and Genetics
Principles of Microbiology, Molecular Biology and Genetics
CEE 582 - Environmental microbiology
EARTH 523 - Microbial Community Omics
EEB 446 - Microbial Ecology
EHS 576 - Biological Agents
EHS 660 - Environmental epigenetics and public health
EHS 673 - Epidemiology of developmental origins of health and disease
EPID 460 - Introduction to bacterial pathogenesis
EPID 505 - Polymicrobial communities in human health and the environment
EPID 507 - Microbial control: sterilization, disinfection and manipulation
EPID 525 - Clinical and Diagnostic Microbiology
EPID 543 - Epidemiology of Viral Diseases
EPID 545 - Molecular Techniques Lab
EPID 560 - Mechanisms of Bacterial Pathogenesis
MCDB 411 - Protein structure and function
MCDB 427 - Molecular biology
MCDB 435 - Intracellular trafficking
MCDB 437 - Microbial communication and development
MCDB 489 - Microbial genes and genome
MCDB 462 - Epigenetics
MCDB 530 - Cell Biology
MCDB 614 - Experimental models in Molecular, Cellular and Developmental Biology
MICRBIOL 430 - Microbial symbiosis
MICRBIOL 607 - Microbial Pathogenesis
MICRBIOL 615 - Viral Pathogenesis
MICRBIOL 617 - Molecular and cellular determinants of viral pathogenesis
Laboratory Techniques
Laboratory Techniques
CEE 582 - Environmental Microbiology Laboratory
EPID 504 - Polymicrobial Communities Laboratory
EPID 545 - Molecular Techniques Laboratory
EPID 562 - Advanced Bacteriology Laboratory
Work experience in a laboratory.
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