Dear All,
A big game changer is IIT's have already started offering courses on Coursera.
Here is a link for a course on "Web Intelligence and Big Data"
However, the course will be taught by the faculty at the institute and they are not paying any credits for general courses on Coursera. That might be the next step if student accounts and activity can be moderated.
Best Regards,
--
Dr. Hammad A. Qureshi,
BS Engg., PhD (Computer Science)
On Wed, Nov 28, 2012 at 11:52 AM, Affan Syed <affan.syed.usc@gmail.com> wrote:
Dear Dr. Qasim,
I appreciate your thoughts, I have some comments inline below:We are making some headway, but I am actually pointing towards a radical
On 11/27/2012 8:53 PM, Qasim Sheikh wrote:
> Dear Affan,
> I had lengthy discussions with FAST-NU decision makers on this
> subject a few months back but did not make much headway.
shift in the tautology as well as new delivery mechanisms.The above approach is the one I was thinking is the obvious first step;
> However, luckily I used Algorithms course from Stanford at SEECS, NUST
> and now thanks to management of Air University I am teaching "small
> Networks: Friends, Money, and
> Bytes" https://www.coursera.org/course/friendsmoneybytes from Princeton
> at AU. I am teaching it as a graduate level course. I replay lectures
> from the course in class. Sometimes I have to give additional lectures
> to prepare students with background material. I stop the lecture in the
> middle and explain concepts if needed. We do the same home-works and
> quizzes in class. We have not reached the point where students listen
> to lectures before the class and then class is used for solving problems
> and discussing what students can not understand, but this is a start. I
> asked students if they wanted me to make slides myself from Princeton
> video lectures and deliver my version. Students are quite happy with
> original video lectures from Princeton. Similarly, in my information
> coding course I used material from Udacity's course on statistics to
> teach students Bayesian analysis. I gave homework from udacity course
> and told students that they can copy the solution as long as they
> understand it. This homework was followed by an in class quiz. My
> expectation is that students will start self learning process from these
> courses.
It will be great if you can get some structured (and anonymous) feedback
from your students about this experimentation and share the results here
(and perhaps even wider in the MOOC community).Again, a great idea... but research is one thing where brick-and-mortar
>
> I have given graduate students a list of 6 courses from udacity and
> coursera with the offer that if they bring completion certificates I
> will guide them in selecting their MS thesis problem.
schools/universities will have an edge.But that exactly is the point of my article, We (the current higher Ed
>
> The change we need is not likely to come from "Rector's office". They
> just don't want to go through the effort needed for the change. Why
> should they? List of applicants to 1st semester is 4 to 5 times the
> number of seats, university keeps increasing tuition and fee to keep its
> operations profitable, demand for cs graduates worldwide is increasing.
> Why rock the boat when everything is calm?
univ.. and to some extent even the primary and secondary level schools)
are the incumbents and there is a disruption that is going to not rock,
but sweep the world from under our feet. Those who can envision this and
adapt (by coming up with novel solutions) will survive.Affan
>
> I would recommend that as a start you start using course material from
> these courses and force students you are advising for MS or Ph. D.
> theses to take relevant courses. I also think that industry can play a
> big role here by giving preference to candidates who bring completion
> certificates from relevant courses on coursera, udacity, MITx, Berkeleyx
> etc. This will get student's attention.
>
> With Regards
> Qasim
> pk.linkedin.com/pub/qasim-sheikh/0/250/712
> +923008540838 (mob)
Dr. Hammad A. Qureshi,
BS Engg., PhD (Computer Science)
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