Pitt | Swanson Engineering

Track Coordinator: Aaron Batista (apb10@pitt.edu)

The Bioimaging and Signals Track is the most flexible of the Bioengineering tracks, allowing highly motivated students to design their own track curriculum within the broad fields of biological signal acquisition and processing. Track students pursue coursework in focus areas such as:

  • Bioimaging - including sensing, rendering, interpreting biological images, and imaging devices;
  • Biological signal processing, modeling, measurement, and analysis;
  • Control and dynamic systems;
  • Neural engineering.

The Bioimaging and Signals Track is particularly suitable for students who wish to double major or minor in a related field such as electrical engineering, neuroscience, or computer science. With proper planning, students can use their 6 track electives plus 2 advanced engineering/science electives to obtain the minor. Students must justify in their CEP how selected courses contribute to in-depth study in an area related to bioimaging and signals. Please consult the GET A MINOR webpage for further details about getting a minor. Talk with the Undergraduate Coordinator about the possibility of a double major after talking with your advisor.

Students in the Bioimaging and Signals Track can select relevant engineering, science, and mathematics courses, including graduate level courses, from throughout Pitt and CMU to fulfill track requirements. Bioimaging and Signals students design their own curriculum, which is more than a selection from a list of classes, the rationale for which is described in their COMPREHENSIVE ELECTIVES PLAN (CEP). The CEP should explicitly provide a brief written narrative of how the chosen curriculum exhibits depth in addition to how the chosen curriculum helps meet post-graduate goals. Your CEP must be approved by your advisor. After your advisor approves, forward your CEP to the Track Coordinator for approval. Once the Track Coordinator has approved your course of study, any modifications to your approved curriculum must be approved prior to taking alternative courses.

NOTE : All bioengineering students must have a minimum of 4 engineering courses out of the 8 elective courses (6 track courses and 2 advanced engineering/science courses).

Bioimaging and Signals Track requirements :
No required courses.
Students construct their own course of study within the track as previously described. Some especially relevant courses, grouped by topic, are provided below as guidance in course selection. Students are free to explore courses beyond those listed in order to design their own, unique track curriculum.
NOTE: CHEM 0310 (Organic Chemistry 1) and CHEM 0320 (Organic Chemistry 2) are acceptable track electives.

  • Bioimaging
    • Engineering courses
    • BIOENG 1005 : RF (Radiofrequency) Medical Devices
    • BIOENG 1330 : Biomedical Imaging
    • BIOENG 1383 : Biomedical Optical Microscopy
    • BIOENG 2505 : Multi-Modal Biomedical Imaging Technologies
    • BIOENG 2630 : Methods in Image Analysis
    • ECE 1390 : Introduction to Image Processing/Computer Vision
    • CMU Biomed 42-431 : Introduction to Biomedical Imaging and Image Analysis
    • CMU Biomed 42-731 : Bioimage Informatics
    • CMU ECE 18-793 : Optical Image and Radar Processing
    • CMU ECE 18-798 : Image, Video, and Multimedia
    • CMU Rob 16-385 : Computer Vision
      Science courses
    • CMU BioSc 03-315 : Introduction to Magnetic Resonance Imaging
    • CMU BioSc 03-534 : Biological Imaging and Fluorescence Spectroscopy
    • CMU BioSc 03-620 : Techniques in Electron Microscopy
    • CMU BioSc 03-815 : Magnetic Resonance Imaging in Neuroscience
    • CMU CS 15-462 : Computer Graphics I
    • CMU CS 15-862 : Computational Photography
  • Biological Signal Processing
    • Engineering courses
    • BIOENG 1351 : Computer Applications in Bioengineering
    • BIOENG 1580 : Biomedical Applications of Signal Processing
    • ECE 1472 : Analog Communication Systems
    • ECE 1473 : Digital Communication Systems
    • ECE 1523 : Digital Filter Design
    • ECE 1562 : Digital and Analog Filters
    • ECE 1563 : Signal Processing Laboratory
    • CMU Rob 16-421 : Vision Sensors
  • Control and Dynamic Systems
    • Engineering courses
    • BIOENG 1689 : Biomedical Applications of Control
    • BIOENG 2035 : Biomechanical Modeling of Movement
    • BIOENG 2045: Computational Case Studies in Biomedical Engineering
    • MEMS 1045 : Automatic Controls
    • CMU Rob 16-250 : Gadgetry
    • CMU Rob 16-299 : Introduction to Feedback Control Systems
    • CMU Rob 16-711 : Kinematics, Dynamic Systems and Control
  • Neural Engineering
    • Engineering courses
    • BIOENG 1586 : Quantitative Systems Neuroscience
    • BIOENG 2650 : Learning & Control of Movement
      Science courses
    • MATH 1800 : Intro to Mathematical Neuroscience
    • MATH 3370 : Mathematical Neuroscience
    • MATH 3375 : Computational Neuroscience Methods
    • NROSCI 1000 : Introduction to Neuroscience
    • NROSCI 1012 : Neurophysiology
    • CMU CS 15-386 : Neural Computation
    • CMU CS 15-880 : Computational Models of Neural Systems