• DocumentCode
    1697971
  • Title

    Teaching signal processing online: A report from the trenches

  • Author

    Johnson, Don H. ; Prandoni, Paolo ; Pinto, Pedro C. ; Vetterli, Martin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
  • fYear
    2013
  • Firstpage
    8786
  • Lastpage
    8790
  • Abstract
    After years of experimentation, online teaching has gone through a phase transition with the appearance of massive open online courses (MOOCs), following the model pioneered by Salman Khan with short videos and the use of tablets. Dozens of university-level courses are now available, and followed by hundreds of thousands of online students. We report on early experiences with teaching “Fundamentals of Electrical Engineering” and “Digital Signal Processing” on an open online platform (Coursera). We address in particular: (i) suitability of online platforms for signal processing oriented topics; (ii) structuring of material for the online format; (iii) quizzes and exercises for large classes; (iv) grading methods and possible certification issues; (v) learning from teaching, forums, and data mining of students feedback.
  • Keywords
    computer aided instruction; data mining; educational courses; signal processing; telecommunication engineering education; MOOC; certification issues; data mining; digital signal processing; massive open online courses; online teaching; open online platform; students feedback; university level courses; Digital signal processing; Educational institutions; Electrical engineering; Materials; Videos; Online education; signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6639382
  • Filename
    6639382