MOOC Adventures in Signal Processing: Bringing DSP to the era of massive open online courses

Published on Jul 1, 2016in IEEE Signal Processing Magazine7.60
· DOI :10.1109/MSP.2016.2556004
Thomas A. Baran5
Estimated H-index: 5
(MIT: Massachusetts Institute of Technology),
Richard G. Baraniuk82
Estimated H-index: 82
(Rice University)
+ 2 AuthorsMartin Vetted90
Estimated H-index: 90
(EPFL: École Polytechnique Fédérale de Lausanne)
In higher education circles, 2012 may be known as the "year of the MOOC"; the launch of several high-profile initiatives, both for profit (Coursera, Udacity) and not for profit (edX), created an electrified feeling in the community, with massive open online courses (MOOCs) becoming the hottest new topic in academic conversation. The sudden attention was perhaps slightly forgetful of many notable attempts at distance learning that occurred before, from campus TV networks to well-organized online repositories of teaching material. The new mode of delivery, however, was ushered in by a few large-scale computer science courses, whose broad success triggered significant media attention [1].
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  • Citations (3)
Published on Sep 1, 2015in IEEE Signal Processing Magazine7.60
H. Joel Trussell14
Estimated H-index: 14
(NCSU: North Carolina State University),
Dror Baron21
Estimated H-index: 21
(NCSU: North Carolina State University)
An article by W.L. Everitt in the 1962 50th anniversary issue of Proceedings of the IEEE, ?Engineering Education?Circa 2012 A.D.,? was one of many predictive articles that appeared in that issue [1]. One of Everitt?s observations was the distinction between training and education. He then predicted that, in the future, training will be done primarily with computers, remarking, ?Relieved of the necessity of spending most of their time on the training function, devoted teachers will be able to con...
Published on Apr 1, 2015 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
Thomas A. Baran5
Estimated H-index: 5
(MIT: Massachusetts Institute of Technology),
Tarek A. Lahlou3
Estimated H-index: 3
(MIT: Massachusetts Institute of Technology)
This paper proposes a systematic strategy for the automated implementation of mixed constraint- and input-output-based representations of signal processing systems. Examples of the strategy are provided in synthesizing algorithms derived from signal-flow graphs having delay-free loops, as well as in performing automated system inversion. An algorithm that follows the strategy, and which has been deployed online as part of an edX course, is discussed in greater focus. Sensitivity analysis of syst...
Published on May 1, 2013 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
Marta Martinez-Camara2
Estimated H-index: 2
('ENS Paris': École Normale Supérieure),
Ivan Dokmanic12
Estimated H-index: 12
('ENS Paris': École Normale Supérieure)
+ 3 AuthorsAndreas Stohl77
Estimated H-index: 77
(NILU: Norwegian Institute for Air Research)
Knowing what amount of radioactive material was released from Fukushima in March 2011 is crucial to understand the scope of the consequences. Moreover, it could be used in forward simulations to obtain accurate maps of deposition. But these data are often not publicly available, or are of questionable quality. We propose to estimate the emission waveforms by solving an inverse problem. Previous approaches rely on a detailed expert guess of how the releases appeared, and they produce a solution s...
Published on Jan 1, 1989
Alan V. Oppenheim43
Estimated H-index: 43
Ronald W. Schafer46
Estimated H-index: 46
For senior/graduate-level courses in Discrete-Time Signal Processing. THE definitive, authoritative text on DSP -- ideal for those with an introductory-level knowledge of signals and systems. Written by prominent, DSP pioneers, it provides thorough treatment of the fundamental theorems and properties of discrete-time linear systems, filtering, sampling, and discrete-time Fourier Analysis. By focusing on the general and universal concepts in discrete-time signal processing, it remains vital and r...
Cited By3
Published on May 1, 2019 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
Eric Bezzam2
Estimated H-index: 2
(EPFL: École Polytechnique Fédérale de Lausanne),
Adrien Hoffet , Paolo Prandoni9
Estimated H-index: 9
(EPFL: École Polytechnique Fédérale de Lausanne)
In this paper we describe our approach to teaching applied digital signal processing (DSP) using freely-available software and inexpensive off-the-shelf hardware components. The pedagogical framework is built around simple real-time audio processing algorithms that provide immediate and engaging feedback to the students. At the same time, our end goal is to build a learning module that can be easily reproduced by fellow instructors and used in our Massive Open Online Course (MOOC). We use Python...
Published on Mar 1, 2019in IEEE Signal Processing Magazine7.60
Cecilia Pasquini6
Estimated H-index: 6
(University of Innsbruck),
Giulia Boato15
Estimated H-index: 15
(University of Trento),
Rainer Böhme29
Estimated H-index: 29
(University of Innsbruck)
With the advent of ubiquitous sensing and real-time data processing, the demand for engineers with solid signal processing skills has exceeded the supply by a large margin. However, even students in technical subjects often perceive signal processing as demanding and somewhat dry [4]. In many curricula, signal processing must compete with more attractive classes, such as hands-on courses on programming, robotics, or computer graphics. Hence, new directions in signal processing education are need...
Published on Oct 1, 2018
Abhinav Dixit , Uday Shankar Shanthamallu2
Estimated H-index: 2
+ 2 AuthorsMahesh K. Banavar12
Estimated H-index: 12
(Clarkson University)
This work in progress paper describes software that enables online machine learning experiments in an undergraduate DSP course. This software operates in HTML5 and embeds several digital signal processing functions. The software can process natural signals such as speech and can extract various features, for machine learning applications. For example in the case of speech processing, LPC coefficients and formant frequencies can be computed. In this paper, we present speech processing, feature ex...
Published on Sep 1, 2018
Mingming Zhao (SICNU: Sichuan Normal University), Zhiyi Chen (SICNU: Sichuan Normal University), Min Li
In recent years, Massive Open Online Courses (MOOCs) raise wide concern of the in academia. Researchers are working on making MOOCs more efficient and easier to learn. A number of works focus on describing the characters of learners via their behaviours to personalize. Unfortunately, few studies pay attention to construct the curricula system of MOOCs. While reasonable curricula system can also improve the learning efficiency remarkably. To improve the reasonability of the curricula system of MO...
Published on Jun 1, 2018
Mario J. Duran24
Estimated H-index: 24
(UMA: University of Málaga),
A. Fernandez (UMA: University of Málaga)+ 3 AuthorsL. Parras (UMA: University of Málaga)
Mobile applications have experimented a huge evolution in the last years. These applications are already an important tool in our daily life. From the point of view of the penetration of this mobile technology in the different scales of the society, university students are one of the main users of this mobile technology. For this reason, this work proposes a learning mobile application entitled EnjoyCircuits for Fundamentals of Electric Engineering of the Industrial Technology Engineering Bachel...
Published on Apr 1, 2018
Yifan Hou (HUST: Huazhong University of Science and Technology), Pan Zhou10
Estimated H-index: 10
(HUST: Huazhong University of Science and Technology)
+ 1 AuthorsDapeng Oliver Wu18
Estimated H-index: 18
(UF: University of Florida)
With the advent of the big data era of MOOC, enrolled students and offered courses become numerous and diverse, resulting in a large amount of data and complex curriculum relationships. Thus how to recommend appropriate course to improve students' learning outcomes has become a daunting task. The state-of-the-art works ignore some significant features in course recommendation of MOOC: heterogeneity of large-scale user groups, sequence problem in courses and foreseeable quantitative explosion of ...
Published on Oct 1, 2017 in FIE (Frontiers in Education Conference)
Abhinav Dixit , Sameeksha Katoch1
Estimated H-index: 1
+ 3 AuthorsAndreas Spanias26
Estimated H-index: 26
Several web-based signal processing simulation packages for education have been developed in a Java environment. Although this environment has provided convenience and accessibility using standard browser technology, it has recently become vulnerable to cyber-attacks and is no longer compatible with secure browsers. In this paper, we describe our efforts to transform our award-winning J-DSP online laboratory by rebuilding it on an HTML5 framework. Along with a new simulation environment, we have...
Published on Jul 1, 2017in IEEE Signal Processing Magazine7.60
Waheed U. Bajwa19
Estimated H-index: 19
(RU: Rutgers University)
Modern academy traces its roots back to the medieval universities established between the 12th and the 14th centuries [1]. Much has changed in the world of academia during the millennium that separates a modern university from a medieval one.
Published on Mar 1, 2017 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
Peter A. Milder16
Estimated H-index: 16
(SBU: Stony Brook University),
Mónica F. Bugallo18
Estimated H-index: 18
(SBU: Stony Brook University)
In this paper we report our efforts to streamline the curriculum of a lecture-based course on signals and systems with exercises using the Matlab computing environment. We use a computer framework to generate individualized variations of problems, which are assigned to teams of students as well as to individual students. Feedback from students revealed that the new components were helpful for better understanding of the materials and hold strong promise in our new approach to interactive and han...
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