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UB Undergraduate Academic Schedule: Spring 2019

  • 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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    CSE 445LR - Coding Theory
    Coding Theory A1 Enrollment Information (not real time - data refreshed nightly)
    Class #:   24707   Enrollment Capacity:   15
    Section:   A1   Enrollment Total:   2
    Credits:   4.00 credits   Seats Available:   13
    Dates:   01/28/2019 - 05/10/2019   Status:   OPEN
    Days, Time:   T , 2:00 PM - 2:50 PM
    Room:   Davis 338A view map
    Location:   North Campus      
    Chained Courses
    Registering in the above section will automatically place you in the following class(es):
    Enrollment Requirements
    Prerequisites: Pre-Requisites: CSE 331
      Course Description
    Error correcting codes (or just codes) are systematic ways of introducing redundancy into data so that the original information can be recovered even when the data is corrupted. Codes are used ubiquitously in communication systems and data storage. The study of error correcting codes (or coding theory) started with the seminal works of Shannon and Hamming in the late 1940s and has been an active cross-disciplinary research area since then. This course will discuss the theoretical aspects of codes and will focus mostly on the worst-case noise model pioneered by Hamming. However, we will discuss quite a few results on the stochastic noise model pioneered by Shannon. The course will roughly cover three parts: (i) combinatorial aspects of codes, i.e. the limit of what can and cannot be achieved with codes; (ii) computationally efficient algorithms for using codes; and (ii) application of codes in theoretical computer science. Major developments in coding theory since the 1990s will be emphasized. This course is dual listed with CSE 545.
      On-line Resources