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University of Pittsburgh    
2019-2020 Graduate & Professional Studies Catalog 
    
 
  Aug 09, 2020
 
2019-2020 Graduate & Professional Studies Catalog [Archived Catalog]

Bioimaging and Signals Track


The Bioimaging and Signals track is geared towards students with interests in any of the following areas:

1. Development and application of imaging devices;

2. Signal and image processing methods;

3. Biological/biomedical signal acquisition and analysis;

4. Computational modeling of biomedical signals and systems;

5. Biological/biomedical control systems; and/or

6. Biologically inspired signal and image processing.  

This track may be particularly attractive to students with undergraduate degrees in bioengineering/biomedical engineering; electrical engineering; computer science and engineering; math; and/or physics, but it is open to all bioengineering graduate students.

Students who have not had “signals and systems” and/or “linear systems” courses at the undergraduate level, similar to BIOENG 1320, ECE 1552 or MEMS 1014 offered at Pitt, may find that they lack the prerequisites for many of the track courses.  Moreover, knowledge of the fundamentals of signals and systems provided in these courses will be required to pass the Preliminary Exam in the Bioimaging and Signals Track.  Accordingly, students lacking this background are strongly encouraged to audit or take one of these three courses prior to taking the prelim exam in the late Spring of the 1 st year.  (Note that undergraduate courses do not fulfill graduate degree requirements.)

Students in the Bioimaging and Signals Track must complete 9 credits (3 different graduate level courses) in order to satisfy track requirements.  At least one of these courses must be in the “bio-imaging” area, and at least one must be in the “signals and systems” area, as follows:

 

Signals and systems course requirements (choose at least one):

BIOENG 2005 - RADIOFREQUENCY MEDICAL DEVICES AND APPLICATIONS OF ELECTROMAGNETICS IN MEDICINE  

ECE 2523 - DIGITAL SIGNAL PROCESSING  

ECE 2646 - LINEAR SYSTEM THEORY  

 

Bioimaging course requirements (choose at least one):

BIOENG 2330 - BIOMEDICAL IMAGING  

BIOENG 2505 - MULTI MODAL BIOMEDICAL IMAGING TECHNOLOGIES: FUNCTIONAL, MOLECULAR AND HYBRID IMAGING TECHNIQUES  

 

The third track course may be selected from the lists above, or from the list below of the variety of bioimaging and signals courses available through Pitt and CMU that fulfill track requirements.  However, the list is by no means comprehensive, and students are free and encouraged to explore course offerings from other science and engineering departments, at Pitt and CMU, including Electrical and Computer Engineering; Computer Science; Physics; and Neuroscience.  Coupled with two additional open electives, the track requirements provide flexibility for students, in consultation with their research mentor, to design an appropriate curriculum of graduate study to complement their research.

Possible courses for the 3rd required track course:

Note: courses not listed here require pre-approval by the Track Coordinators in order to fulfill track requirements:

BIOENG 2005 - RADIOFREQUENCY MEDICAL DEVICES AND APPLICATIONS OF ELECTROMAGNETICS IN MEDICINE  

BIOENG 2045 - COMPUTATIONAL CASE STUDIES IN BIOMEDICAL ENGINEERING  

BIOENG 2186 - NEURAL ENGINEERING  

BIOENG 2330 - BIOMEDICAL IMAGING  

BIOENG 2383 - BIOMEDICAL OPTICAL MICROSCOPY  

BIOENG 2505 - MULTI MODAL BIOMEDICAL IMAGING TECHNOLOGIES: FUNCTIONAL, MOLECULAR AND HYBRID IMAGING TECHNIQUES  

BIOENG 2515 - CARDIO SYSTM DYNAMICS & MODELING  

ECE 2372 - PATTERN RECOGNITION  

ECE 2521 - ANALYSIS STOCHASTIC PROCESSES  

ECE 2523 - DIGITAL SIGNAL PROCESSING  

ECE 2646 - LINEAR SYSTEM THEORY  

ECE 2647 - INTRODUCTION TO NONLINEAR CONTROL DESIGN  

ECE 2654 - DIGITAL CONTROL SYSTEMS  

ECE 2671 - OPTIMIZATION METHODS  

ECE 3374 - APPLICATIONS OF WAVELET TRANSFORMS  

ECE 3524 - DIGITAL SPEECH PROCESSING  

ECE 3526 - MODERN SPECTRAL ESTIMATION  

ECE 3528 - TIME-FREQUENCY SIGNAL ANALYSIS  

ECE 3557 - STATISTICAL SIGNAL PROCESSING  

ECE 3650 - OPTIMAL CONTROL  

MATH 3375 - COMPUTATIONAL NEUROSCIENCE METHODS  (can be used as one track course OR fulfill BioE Math requirement) 

CMU 10-601 - MACHINE LEARNING 

CMU 15-883 - COMPUTATIONAL MODELS OF NEURAL SYSTEMS

CMU 18-660 - NUMERICAL METHODS FOR ENGINEERING DESIGN AND OPTIMIZATION

CMU 18-697 - STATISTICAL DISCOVERY AND LEARNING

CMU 18-698 / 42-590 - NEURAL SIGNAL PROCESSING

CMU 18-781 - SPEECH RECOGNITION AND UNDERSTANDING

CMU 18-790 - WAVELETS AND MULTIRESOLUTION TECHNIQUES

CMU 8-792 - ADVANCED DIGITAL SIGNAL PROCESSING

CMU 36-746 - STATISTICAL METHODS FOR NEUROSCIENCE (CAN BE USED AS A TRACK COURSE OR FULFILL THE BIOE STAT REQUIREMENT)

CMU 86-595 / 42-595 - NEURAL DATA ANALYSIS