University at Buffalo

UB Undergraduate Academic Schedule: Spring 2018

  • This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB. Information about HUB can be found at

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    BE 400LEC - Biomed Eng Special Topics-Pattern Classif For Biom Data
    Biomed Eng Special Topics-Pattern Classif For Biom Data DOY Enrollment Information (not real time - data refreshed nightly)
    Class #:   20116   Enrollment Capacity:   20
    Section:   DOY   Enrollment Total:   14
    Credits:   3.00 credits   Seats Available:   6
    Dates:   01/29/2018 - 05/11/2018   Status:   OPEN
    Days, Time:   T R , 2:00 PM - 3:20 PM
    Room:   Baldy 108 view map
    Location:   North Campus      
    Pattern Classification for Biomedical Data: In this course, students will learn the basics of pattern classification and machine learning with a focus on biomedical applications. At the end of this course, students should understand how to frame a biological question in terms of pattern analysis and develop a robust, accurate classifier to answer that question. This process involves identifying "objects" for analysis, quantifying the characteristics of those objects into "feature sets", and training an algorithm to recognize different categories of objects. The resulting algorithm is then able to assign labels to a set of unlabeled data -- for example, identifying medical documents relevant to a search query, or determining whether a digital biopsy image contains cancerous tissue. Topics covered will include feature construction and selection, Bayesian probability theory, linear discriminants, support vector machines, parametric and non-parametric methods, unsupervised and clustering techniques, supervised classifier training, component analysis and dimensionality reduction, and classifier ensemble techniques. Some knowledge of linear algebra and programming (MATLAB and / or Python) will be helpful, but we will review relevant background material during lectures.
      Course Description
    Topics and instructors vary by semester as determined by instructor, but each will focus on current aspects of or new technologies within Biomedical Engineering.
                 Doyle, S T look up    
      On-line Resources
    Other Courses Taught By: Doyle, S T