Fri Apr 19 18:38:46 2024
EVENTS
 FREE
SOFTWARE
INSTITUTE

POLITICS
JOBS
MEMBERS'
CORNER

MAILING
LIST

NYLXS Mailing Lists and Archives
NYLXS Members have a lot to say and share but we don't keep many secrets. Join the Hangout Mailing List and say your peice.

DATE 2016-09-01

LEARN

2024-04-19 | 2024-03-19 | 2024-02-19 | 2024-01-19 | 2023-12-19 | 2023-11-19 | 2023-10-19 | 2023-09-19 | 2023-08-19 | 2023-07-19 | 2023-06-19 | 2023-05-19 | 2023-04-19 | 2023-03-19 | 2023-02-19 | 2023-01-19 | 2022-12-19 | 2022-11-19 | 2022-10-19 | 2022-09-19 | 2022-08-19 | 2022-07-19 | 2022-06-19 | 2022-05-19 | 2022-04-19 | 2022-03-19 | 2022-02-19 | 2022-01-19 | 2021-12-19 | 2021-11-19 | 2021-10-19 | 2021-09-19 | 2021-08-19 | 2021-07-19 | 2021-06-19 | 2021-05-19 | 2021-04-19 | 2021-03-19 | 2021-02-19 | 2021-01-19 | 2020-12-19 | 2020-11-19 | 2020-10-19 | 2020-09-19 | 2020-08-19 | 2020-07-19 | 2020-06-19 | 2020-05-19 | 2020-04-19 | 2020-03-19 | 2020-02-19 | 2020-01-19 | 2019-12-19 | 2019-11-19 | 2019-10-19 | 2019-09-19 | 2019-08-19 | 2019-07-19 | 2019-06-19 | 2019-05-19 | 2019-04-19 | 2019-03-19 | 2019-02-19 | 2019-01-19 | 2018-12-19 | 2018-11-19 | 2018-10-19 | 2018-09-19 | 2018-08-19 | 2018-07-19 | 2018-06-19 | 2018-05-19 | 2018-04-19 | 2018-03-19 | 2018-02-19 | 2018-01-19 | 2017-12-19 | 2017-11-19 | 2017-10-19 | 2017-09-19 | 2017-08-19 | 2017-07-19 | 2017-06-19 | 2017-05-19 | 2017-04-19 | 2017-03-19 | 2017-02-19 | 2017-01-19 | 2016-12-19 | 2016-11-19 | 2016-10-19 | 2016-09-19 | 2016-08-19 | 2016-07-19 | 2016-06-19 | 2016-05-19 | 2016-04-19 | 2016-03-19 | 2016-02-19 | 2016-01-19 | 2015-12-19 | 2015-11-19 | 2015-10-19 | 2015-09-19 | 2015-08-19 | 2015-07-19 | 2015-06-19 | 2015-05-19 | 2015-04-19 | 2015-03-19 | 2015-02-19 | 2015-01-19 | 2014-12-19 | 2014-11-19 | 2014-10-19

Key: Value:

Key: Value:

MESSAGE
DATE 2016-09-10
FROM Ruben Safir
SUBJECT Re: [Learn] LIU Lock Out
From learn-bounces-at-nylxs.com Sun Sep 11 01:17:28 2016
Return-Path:
X-Original-To: archive-at-mrbrklyn.com
Delivered-To: archive-at-mrbrklyn.com
Received: from www.mrbrklyn.com (www.mrbrklyn.com [96.57.23.82])
by mrbrklyn.com (Postfix) with ESMTP id D5DBB161914;
Sun, 11 Sep 2016 01:17:27 -0400 (EDT)
X-Original-To: learn-at-nylxs.com
Delivered-To: learn-at-nylxs.com
Received: from mail-qk0-f172.google.com (mail-qk0-f172.google.com
[209.85.220.172]) by mrbrklyn.com (Postfix) with ESMTP id 55697161224
for ; Sun, 11 Sep 2016 00:53:12 -0400 (EDT)
Received: by mail-qk0-f172.google.com with SMTP id w204so115454050qka.0
for ; Sat, 10 Sep 2016 21:53:12 -0700 (PDT)
DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=my.liu.edu; s=google;
h=subject:to:references:from:message-id:date:user-agent:mime-version
:in-reply-to; bh=7awifuuRAsLe7GszOsHLDdV7q7drVQETJhIBsSrp34Q=;
b=kns6KiFLFbYdlmheqhYk/btxcXzBWy48F24L36b86u1Nm7j8fSfgtGgmpS5oA/ZLRR
mr0F9GpzRrLize8XbvqvFlcOxkSSpE9wJRoU5RbgVXsfY97+yGu2s+WKi4EYOUzgrWCx
ZZjX2mnNIsA/AKiX6k5u+O2dl8gnSwcbvvXGQ=
X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed;
d=1e100.net; s=20130820;
h=x-gm-message-state:subject:to:references:from:message-id:date
:user-agent:mime-version:in-reply-to;
bh=7awifuuRAsLe7GszOsHLDdV7q7drVQETJhIBsSrp34Q=;
b=axdsYw2o4ZPeRzNLrwtkt9S/3nGDexT2heOgrQhIthDO3/zAeFyCv4Khzxq6DAE0W2
s6wwA1joSW6J7dyLKKoqhHYXdbmAg24JIXiWXJ++gFOMBUZNrh8iKEg7WUOOtkfuHxlk
B5IizZlpkROZMVlw/GLdtJlNXljF2Cf5ez2d7wPbk6icoDaqbBMmCWrjBh2qHDuFZsFv
iPFCN2lgM0OS0bFCzNo4dEdTwnrmrA0XYwYNOnW+aZ03Xy1a5JsXt6an06LRCBdeF+eG
7pQppsuOt6oLzP724i3Tg3Qk1y87isR5Gl2oQj4oacD6MmH9c4/ecxIqz+fwej0gt7qT
Nfvg==
X-Gm-Message-State: AE9vXwOYRMGbtOYeEiKIDDH9a7BqiG8bFLDGIa8MqL7j3ozvHay8OKDJXDeatCV03Kffc9g9
X-Received: by 10.55.162.88 with SMTP id l85mr12911558qke.20.1473566401576;
Sat, 10 Sep 2016 21:00:01 -0700 (PDT)
Received: from [10.0.0.62] (www.mrbrklyn.com. [96.57.23.82])
by smtp.googlemail.com with ESMTPSA id b10sm6630780qka.6.2016.09.10.20.59.59
for
(version=TLS1_2 cipher=ECDHE-RSA-AES128-GCM-SHA256 bits=128/128);
Sat, 10 Sep 2016 21:00:01 -0700 (PDT)
To: learn-at-nylxs.com
References:
From: Ruben Safir
Message-ID: <0cb76b54-e840-b09b-1f75-1fa9714b3063-at-my.liu.edu>
Date: Sat, 10 Sep 2016 23:59:59 -0400
User-Agent: Mozilla/5.0 (X11; Linux x86_64; rv:45.0) Gecko/20100101
Thunderbird/45.1.1
MIME-Version: 1.0
In-Reply-To:
Content-Type: multipart/mixed; boundary="------------2A96CE0DC45984D8A68C9827"
X-Mailman-Approved-At: Sun, 11 Sep 2016 01:17:26 -0400
Subject: Re: [Learn] LIU Lock Out
X-BeenThere: learn-at-nylxs.com
X-Mailman-Version: 2.1.17
Precedence: list
List-Id:
List-Unsubscribe: ,

List-Archive:
List-Post:
List-Help:
List-Subscribe: ,

Errors-To: learn-bounces-at-nylxs.com
Sender: "Learn"

This is a multi-part message in MIME format.
--------------2A96CE0DC45984D8A68C9827
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 8bit

On 09/10/2016 08:36 PM, Ruben Safir wrote:
> Eric Krasnoff
> Chair of Long Island University
> 700 Northern Blvd
> Brookville, NY 11548
>
>
> Dear Mr Krasnoff
>
> I’m a student at LIU/Brooklyn in the Masters Degree program for Computer
> Sciences. I’ve attended LIU since 1986 when I entered and graduated the
> Pharmacy Program. I also attended the PhD Program in Pharmaceutics and
> now I am 2 years into my Masters in Comp Sci. In my time within the
> Comp Sci program, I’ve often wondered whether the program should be
> accredited. The moral with the faculty and student body has been often
> very negative. When I asked about course work which is normally part of
> Computer Science programs, areas such as discrete mathematics, compiler
> theory, and parallel programming, I’ve been told that our school
> doesn’t have a student body that can do these classes. Other times I’ve
> been told that I shouldn’t expect such a quality education from LIU, and
> switch to an engineering institution like PolyTech, or that our students
> don’t “program”.
>
> What has kept me going is that the response to these opinions has been
> that the Chair of the department, in collaboration with faculty have
> pushed these intensive subjects back into the program. They offered
> compiler theory last semester and this semester offered Parallel
> programming in C. The Networking class added an extensive section on
> cryptography. There has been a greater push for quality and it has been
> appreciated.
>
> That is until now.
>
> You fired your faculty leaving me signed up with a parallel programming
> class without a qualified faculty. Furthermore, the same unqualified
> professor has said that he will not teach the Special Topics in
> Programming on a graduate school level. I am in disbelief that after
> all this work, we are now working with an unqualified professor who is
> unfamiliar with the advanced topics that we are pursuing in Graduate
> School, and refuses to even make an effort to ramp up to the topics.
> Instead he is planning on teaching on a Community College level these
> advanced classes.
>
> I’m tired of fighting both the negativism and the politics that boil
> over at this university. I’m calling on you to immediately intervene in
> the current labor dispute and save the schools accreditation and
> reputation. It is time to replace all the recrimination and Nay Sayers
> with a “Can Do” attitude, and that starts with ending the lock out right
> away.
>
> There is nothing to be gained with this lock out at this point, even if
> there ever was. The union is in no position to go on strike after
> protesting how they love their jobs and students, as they have been with
> such verbiage of pretentious doting for the last 2 weeks. This labor
> dispute has to stop upsetting and leaking into the classroom NOW.
>
> It is a farce for the administration to say that the student experience
> is not being interrupted. That deceit must also end NOW. It is
> malicious, calculating and cruel. The administration needs to apologize
> to the student body for the lock out. And the faculty must also
> likewise make such apologies and rededicate themselves to the welfare of
> students which they ostentatiously venerate, instead of disrupting
> semesters for their pockets and egos. And then you need to reschedule
> the lost weeks of real education. You will need to figure out how to
> expense that, without putting it on the backs of students. The students
> are the innocent bystanders here. They are tied to the school because
> of a combination of student aid regulations, visa issue and other
> arraignments. Whoever wins this labor dispute, in the end students lose.
>
> FIX THIS MESS.
>
>
> Ruben Safir
> 1580 East 19th Street
> Apt 1E
> Brooklyn, NY 11230
>
> CC: Ex Officer Kimberly Cline, Governor Cuomo, Paul Thompson NYS
> Department of Education, Liz Robbins NY Times, Dean Edward Rogoff
>


--
So many immigrant groups have swept through our town
that Brooklyn, like Atlantis, reaches mythological
proportions in the mind of the world - RI Safir 1998
http://www.mrbrklyn.com

DRM is THEFT - We are the STAKEHOLDERS - RI Safir 2002
http://www.nylxs.com - Leadership Development in Free Software
http://www2.mrbrklyn.com/resources - Unpublished Archive
http://www.coinhangout.com - coins!
http://www.brooklyn-living.com

Being so tracked is for FARM ANIMALS and and extermination camps,
but incompatible with living as a free human being. -RI Safir 2013

--------------2A96CE0DC45984D8A68C9827
Content-Type: image/jpeg;
name="cline_wanted.jpg"
Content-Transfer-Encoding: base64
Content-Disposition: attachment;
filename="cline_wanted.jpg"
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  1. 2016-09-01 Ruben Safir <ruben.safir-at-my.liu.edu> Subject: [Learn] Fwd: LIU CS course
  2. 2016-09-04 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] LIU Brooklyn Student Update
  3. 2016-09-04 Ruben Safir <ruben.safir-at-my.liu.edu> Re: [Learn] LIU Brooklyn Student Update
  4. 2016-09-04 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] LIU Lockout
  5. 2016-09-08 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] LIU Computer Sciences
  6. 2016-09-10 Ruben Safir <ruben.safir-at-my.liu.edu> Re: [Learn] LIU Lock Out
  7. 2016-09-10 Ruben Safir <ruben.safir-at-my.liu.edu> Re: [Learn] [Hangout-NYLXS] Fwd: LIU Lock Out
  8. 2016-09-10 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] LIU Lock Out
  9. 2016-09-12 Amy Rothenberg <Amy.Rothenberg-at-liu.edu> Re: [Learn] LIU Lock Out
  10. 2016-09-13 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fwd: [isoc-ny] ISOC-NY joins coalition of groups supporting
  11. 2016-09-14 From: "Ruben.Safir" <ruben.safir-at-my.liu.edu> Subject: [Learn] Fwd: Calendar Update
  12. 2016-09-19 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fwd: Re: Thesis option
  13. 2016-09-21 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Fossil computational oppurtunities
  14. 2016-09-21 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fossil computational oppurtunities
  15. 2016-09-22 Ruben Safir <ruben.safir-at-my.liu.edu> Re: [Learn] Sad News
  16. 2016-09-23 Christopher League <league-at-contrapunctus.net> Re: [Learn] Thesis - topic Machine learning in the determination of
  17. 2016-09-23 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Thesis - topic Machine learning in the determination of the
  18. 2016-09-25 ruben safir <ruben-at-mrbrklyn.com> Re: [Learn] Cladistics and Computational Math
  19. 2016-09-25 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Thesis
  20. 2016-09-25 Ruben Safir <mrbrklyn-at-panix.com> Re: [Learn] Thesis - topic Machine learning in the determination of
  21. 2016-09-25 ruben safir <ruben-at-mrbrklyn.com> Subject: [Learn] Fwd: Cladistics and Computational Math
  22. 2016-09-26 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Proposed Thesis
  23. 2016-09-26 Jon Tennant <jon.tennant.2-at-gmail.com> Re: [Learn] Proposed Thesis
  24. 2016-09-26 Jon Tennant <jon.tennant.2-at-gmail.com> Re: [Learn] Proposed Thesis
  25. 2016-09-26 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Proposed Thesis
  26. 2016-09-26 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Proposed Thesis
  27. 2016-09-27 Ruben Safir <ruben.safir-at-my.liu.edu> Re: [Learn] phylip
  28. 2016-09-27 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] phylip
  29. 2016-09-27 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] t-rex web server
  30. 2016-09-28 From: "Pinsdorf, Michelle" <PinsdorfM-at-si.edu> Re: [Learn] little can be better
  31. 2016-09-28 From: "Pinsdorf, Michelle" <PinsdorfM-at-si.edu> Re: [Learn] little can be better
  32. 2016-09-28 league-at-contrapunctus.net Re: [Learn] meet up for thesis?
  33. 2016-09-28 Ruben Safir <mrbrklyn-at-panix.com> Re: [Learn] meet up for thesis?
  34. 2016-09-28 Ruben Safir <mrbrklyn-at-panix.com> Re: [Learn] meet up for thesis?
  35. 2016-09-28 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [Learn] meet up for thesis?
  36. 2016-09-28 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] meet up for thesis?
  37. 2016-09-28 Christopher League <league-at-contrapunctus.net> Re: [Learn] Thesis - topic Machine learning in the determination of
  38. 2016-09-28 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] meet up for thesis?
  39. 2016-09-28 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Notice: Learn Mailing List for LIU
  40. 2016-09-28 Ben Creisler <bcreisler-at-gmail.com> Subject: [Learn] [dinosaur] T. rex tail CT scan + Utahraptor quicksand death
  41. 2016-09-28 Ben Creisler <bcreisler-at-gmail.com> Subject: [Learn] [dinosaur] T. rex tail CT scan + Utahraptor quicksand death
  42. 2016-09-29 Ruben Safir <ruben.safir-at-my.liu.edu> Re: [Learn] Announcing LIU Votes 2016!
  43. 2016-09-29 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] phylogenetics
  44. 2016-09-29 Jon Tennant <jon.tennant.2-at-gmail.com> Re: [Learn] phylogenetics
  45. 2016-09-29 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] two textbooks
  46. 2016-09-30 league-at-contrapunctus.net Re: [Learn] Thesis data
  47. 2016-09-30 Ruben Safir <ruben-at-mrbrklyn.com> Re: [Learn] Thesis data
  48. 2016-09-30 league-at-contrapunctus.net Re: [Learn] Thesis data
  49. 2016-09-30 Ruben Safir <ruben-at-mrbrklyn.com> Subject: [Learn] Thesis data

NYLXS are Do'ers and the first step of Doing is Joining! Join NYLXS and make a difference in your community today!