• DocumentCode
    3703126
  • Title

    A new signal processing course for digital culture

  • Author

    Andreas Spanias;Paul Curtis;Photini Spanias;Mahesh K. Banavar

  • Author_Institution
    SenSIP Center, School of ECEE, Arizona State University, Tempe, AZ 85287. USA
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Signal processing algorithms, software, and hardware are being used in several fields including non-engineering areas such as arts and media. Students in these fields and particularly in the new Digital Culture major at Arizona State University (ASU) use signal processing tools in several of their projects and artistic endeavors. Yet the blind use of these DSP tools in other disciplines, without understanding their properties has been a long-standing problem. In fact, the broader issue is the disconnect between engineers that develop tools and artists that use them to design the next generation digital art applications. In that context, ASU has formed the Arts Media and Engineering (AME) School and more recently, the multidisciplinary undergraduate Digital Culture degree granting program. In order to provide formal training in signal processing to students that are non-Electrical Engineering majors, we piloted a new course titled Signal Processing for Digital Culture. This course, which is being offered online, teaches non-majors some of the basics of signal processing and covers several applications. The only prerequisite to the course is general sophomore calculus. This new online course contains several topics and is focused on an approach that teaches concepts by connecting theory to compelling applications. Future plans include introducing this course at Clarkson University as a Knowledge Area course open to students from all majors.
  • Keywords
    "Digital signal processing","MATLAB","Finite impulse response filters","IIR filters"
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE
  • Print_ISBN
    978-1-4799-8454-1
  • Type

    conf

  • DOI
    10.1109/FIE.2015.7344377
  • Filename
    7344377