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Minor

Computational Medicine, Minor

Johns Hopkins University Whiting School of Engineering 78 courses 20 total credits

About This Program

The Institute for Computational Medicine (ICM) offers an undergraduate minor in Computational Medicine, the first educational program in CM, reflecting Johns Hopkins University’s leadership in this field. Like the ICM, the undergraduate minor in Computational Medicine is integrative and multidisciplinary. The ICM Core Faculty who serve as advisors to the undergraduate minor hold primary and joint appointments in multiple Johns Hopkins University departments and schools including Biomedical Engineering, Computer Science, Electrical and Computer Engineering, Mechanical Engineering, Applied Mathematics and Statistics (WSE); Neurosurgery, Emergency Medicine, Medicine, and the Divisions of Cardiology and Health Sciences Informatics (SOM); and Health Policy and Management (BSPH). With a minor in CM, undergraduates gain a solid grounding in the development and application of computational methods in key areas of medicine. Specifically, undergraduates will understand how mathematical models can be constructed from biophysical laws or experimental data, and how predictions from these models facilitate the diagnosis and treatment of a disease. Undergraduates will become conversant with a wide variety of statistical, deterministic, and stochastic modeling methods, skills that are essential to the advancement of modern medicine, and are prized both in academic research and industrial research. Students interested in the minor should visit the Institute for Computational Medicine website for instructions on how to declare the minor.

Degree Requirements

At least one course from C Designation (see below for course listings) credits
EN.580.337 (future course number for the Spring continuation) 1 credits

MATHEMATICS COURSES

MATHEMATICS COURSES

Probability and Statistics Course. Choose one from the following:

BIOLOGICAL SCIENCE COURSE

Complete one of the following:

COMPUTER PROGRAMMING

Complete one of the following:

Significant Biology/Medicine Component (M)

Code Course Title Credits
EN.520.621 Introduction To Nonlinear Systems 3
EN.530.343 Design and Analysis of Dynamical Systems 3
EN.530.410 Biomechanics of the Cell 3
EN.530.616 Introduction to Linear Systems Theory 3
EN.530.676 Locomotion Dynamics & Control 3
EN.540.414 Computational Protein Structure Prediction and Design 3
EN.540.421 Project in Design: Pharmacodynamics 3
EN.540.433 Pharmacokinetics and Pharmacodynamics 3
EN.540.438 Advanced Topics in Pharmacokinetics and Pharmacodynamics I 3
EN.553.426 Introduction to Stochastic Processes 4
EN.580.430 Systems Pharmacology and Personalized Medicine 4
EN.580.435 Applied Bioelectrical Engineering 3
EN.580.439 Models of the Neuron 4
EN.580.447 Computational Stem Cell Biology 3
EN.580.448 Computational Genomics: Data Analysis 3
EN.580.460 Epigenetics at the Crossroads of Genes and the Environment 2
EN.580.464 Advanced Data Science for Biomedical Engineering 4
EN.580.473 Dynamic Modeling of Infectious Diseases in Patients and Populations 2
EN.580.480 Precision Care Medicine I 4
EN.580.481 Precision Care Medicine II 4
EN.580.483 Annotate a Genome 3
EN.580.488 Foundations of Computational Biology and Bioinformatics 3
EN.580.561 Advanced Focus Area Research 3
EN.580.689 Modern Optical Microscopy: Theory and Practice 3
EN.601.350 Genomic Data Science 3
EN.601.447 Computational Genomics: Sequences 3
EN.601.449 Computational Genomics: Applied Comparative Genomics 3
EN.601.649 Computational Genomics: Applied Comparative Genomics 3
EN.660.347 Action Lab 3
ME.250.771 Introduction to Precision Medicine Data Analysis 3

Significant Computational Component (C)

Code Course Title Credits
AS.050.375 Probabilistic Models of the Visual Cortex 3
AS.250.302 Modeling the Living Cell 4
EN.520.353 Control Systems 4
EN.520.432 Medical Imaging Systems 3
EN.520.433 Medical Image Analysis 3
EN.520.439 Machine Learning for Medical Applications 3
EN.520.621 Introduction To Nonlinear Systems 3
EN.530.343 Design and Analysis of Dynamical Systems 3
EN.530.410 Biomechanics of the Cell 3
EN.530.616 Introduction to Linear Systems Theory 3
EN.540.409 Dynamic Modeling and Control 4
EN.540.414 Computational Protein Structure Prediction and Design 3
EN.540.421 Project in Design: Pharmacodynamics 3
EN.540.433 Pharmacokinetics and Pharmacodynamics 3
EN.540.438 Advanced Topics in Pharmacokinetics and Pharmacodynamics I 3
EN.540.638 Advanced Topics in Pharmacokinetics and Pharmacodynamics I 3
EN.553.361 Introduction to Optimization I 4
EN.553.426 Introduction to Stochastic Processes 4
EN.553.430 Mathematical Statistics 4
EN.553.436 Introduction to Data Science 3
EN.553.492 Mathematical Biology 3
EN.580.430 Systems Pharmacology and Personalized Medicine 4
EN.580.437 Biomedical Data Design 4
EN.580.438 Biomedical Data Design II 4
EN.580.439 Models of the Neuron 4
EN.580.447 Computational Stem Cell Biology 3
EN.580.460 Epigenetics at the Crossroads of Genes and the Environment 2
EN.580.464 Advanced Data Science for Biomedical Engineering 4
EN.580.473 Dynamic Modeling of Infectious Diseases in Patients and Populations 2
EN.580.480 Precision Care Medicine I 4
EN.580.481 Precision Care Medicine II 4
EN.580.488 Foundations of Computational Biology and Bioinformatics 3
EN.580.491 Learning, Estimation and Control 3
EN.580.689 Modern Optical Microscopy: Theory and Practice 3
EN.601.350 Genomic Data Science 3
EN.601.447 Computational Genomics: Sequences 3
EN.601.455 Computer Integrated Surgery I 4
EN.601.461 Computer Vision 3
EN.601.475 Machine Learning 3
EN.601.482 Machine Learning: Deep Learning 4
EN.601.649 Computational Genomics: Applied Comparative Genomics 3
EN.601.455 Computer Integrated Surgery I 4
EN.601.456 Computer Integrated Surgery II 3
EN.601.496 Computer Integrated Surgery II - Teams 3
PH.340.677 Infectious Disease Dynamics: Theoretical and Computational Approaches 4

DISTINGUISHED SEMINAR SERIES

Code Course Title Credits
EN.580.336 Distinguished Seminar Series in Computational Medicine 1
Total DISTINGUISHED SEMINAR SERIES 2 credits

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