Education @ Center for Imaging Science

The Center for Imaging Science at Johns Hopkins offers a broad range of course to suit students with different backgrounds and interests. These courses are listed here. CIS has also created recommended tracks of courses for students with a Computer Science, Electrical and Computer Engineering, Mathematical Science or Biomedical Engineering degree. The following tracks have been devised for a 4-5 year Ph.D program through the Center for Imaging Science. Please consult with your faculty advisor for more information.

Applied Mathematics and Statistics

Year 1

Year 2

Year 3

Year 4

Fall Intro. Diff. Geometry Math 110.439 Information Theory ECE 520.447 Real Variables Math
Spring Calculus of Variations ECE Linear Optimization Math. Sci 550.361 Linear Systems Theory ECE 520.614

Fall Analysis 1, Math 110.405 Random Signals ECE 520.651 Image Processing 1 ECE 520.414 Probability Math. Sci 550.420
Spring Analysis 2 Math 110.406 Filtering&Smoothing ECE 520.652 Image Processing 2 ECE 520.415 Stochastic Processes Math. Sci 550.426

Fall Intro. Diff. Geometry Math 110.439 Information Theory ECE 520.447 Real Variables Math
Spring Calculus of Variations ECE Linear Optimization Math. Sci 550.361 Linear Systems Theory ECE 520.614

Fall Intro. Diff. Geometry Math 110.439 Information Theory ECE 520.447 Real Variables Math
Spring Calculus of Variations ECE Linear Optimization Math. Sci 550.361 Linear Systems Theory ECE 520.614

Biomedical Engineering

Geometry, Shape and Computational Anatomy track - See here for more sample tracks in BME

Year 1

Year 2

Year 3

Year 4

Medical School or Equivalent

Fall (Choose 4 of 6) 110.405 Analysis I 110.439 Introduction to Differential Geometry 520.414 Image Processing I 520.651 Random Signals 530.648 Group Theory in Engineering Desig 550.420 Probability
Spring (Choose 4 of 6) 110.406 Analysis II 110.417 Partial Differential Equations for Applications 520.415 Image Processing II 520.652 Filtering & Smoothing 550.426 Stochastic Processes 520.630 Introduction to the Calculus of Variations and Optimal Control

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Pick 4 classes from this list.

Pick 2-3 classes from this list.

Computer Science

Year 1

Year 2

Year 3

Year 4

Fall Intro. Diff. Geometry Math 110.439 Information Theory ECE 520.447 Real Variables Math
Spring Calculus of Variations ECE Linear Optimization Math. Sci 550.361 Linear Systems Theory ECE 520.614

Fall Analysis 1, Math 110.405 Random Signals ECE 520.651 Image Processing 1 ECE 520.414 Probability Math. Sci 550.420
Spring Analysis 2 Math 110.406 Filtering&Smoothing ECE 520.652 Image Processing 2 ECE 520.415 Stochastic Processes Math. Sci 550.426

Fall Intro. Diff. Geometry Math 110.439 Information Theory ECE 520.447 Real Variables Math
Spring Calculus of Variations ECE Linear Optimization Math. Sci 550.361 Linear Systems Theory ECE 520.614

Fall Intro. Diff. Geometry Math 110.439 Information Theory ECE 520.447 Real Variables Math
Spring Calculus of Variations ECE Linear Optimization Math. Sci 550.361 Linear Systems Theory ECE 520.614

Electrical and Computer Engineering

Year 1

Year 2

Year 3

Year 4

Fall
110.405	Analysis I
520.414	Image Processing and Analysis I
520.435	Digital Signal Processing
520.651	Random Signal Analysis

Spring
520.415	Image Processing and Analysis II
520.432	Medical Imaging Systems
520.652	Filtering and Smoothing
550.430	Introduction to Statistics

Fall
520.643	Digital Multimedia Coding and Processing
550.437	Statistics, Information and Vision
550.630	Statistical Theory
580.473	Magnetic Resonance in Medicine
	ECE Qualification Exam

Spring
520.608	Image Reconstruction and Restoration
520.646	Wavelets and Filter Banks
520.644	Pattern Theory
550.631	Statistical Inference
	Graduate Board Oral Exam

Fall
520.801	Dissertation Research

Spring
520.802	Dissertation Research
	Submit Preliminary Research Proposal
	Present ECE Departmental Seminar

Fall
520.801	Dissertation Research

Spring
520.802	Dissertation Research
	Submit Dissertation
	Dissertation Defense