Tue Apr 13 15:41:05 2021
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 2014-12-01

LEARN

2021-04-13 | 2021-03-13 | 2021-02-13 | 2021-01-13 | 2020-12-13 | 2020-11-13 | 2020-10-13 | 2020-09-13 | 2020-08-13 | 2020-07-13 | 2020-06-13 | 2020-05-13 | 2020-04-13 | 2020-03-13 | 2020-02-13 | 2020-01-13 | 2019-12-13 | 2019-11-13 | 2019-10-13 | 2019-09-13 | 2019-08-13 | 2019-07-13 | 2019-06-13 | 2019-05-13 | 2019-04-13 | 2019-03-13 | 2019-02-13 | 2019-01-13 | 2018-12-13 | 2018-11-13 | 2018-10-13 | 2018-09-13 | 2018-08-13 | 2018-07-13 | 2018-06-13 | 2018-05-13 | 2018-04-13 | 2018-03-13 | 2018-02-13 | 2018-01-13 | 2017-12-13 | 2017-11-13 | 2017-10-13 | 2017-09-13 | 2017-08-13 | 2017-07-13 | 2017-06-13 | 2017-05-13 | 2017-04-13 | 2017-03-13 | 2017-02-13 | 2017-01-13 | 2016-12-13 | 2016-11-13 | 2016-10-13 | 2016-09-13 | 2016-08-13 | 2016-07-13 | 2016-06-13 | 2016-05-13 | 2016-04-13 | 2016-03-13 | 2016-02-13 | 2016-01-13 | 2015-12-13 | 2015-11-13 | 2015-10-13 | 2015-09-13 | 2015-08-13 | 2015-07-13 | 2015-06-13 | 2015-05-13 | 2015-04-13 | 2015-03-13 | 2015-02-13 | 2015-01-13 | 2014-12-13 | 2014-11-13 | 2014-10-13

Key: Value:

Key: Value:

MESSAGE
DATE 2014-12-10
FROM mrbrklyn@panix.com
SUBJECT Subject: [LIU Comp Sci] MINIPROJECT
From owner-learn-outgoing-at-mrbrklyn.com Wed Dec 10 11:21:38 2014
Return-Path:
X-Original-To: archive-at-mrbrklyn.com
Delivered-To: archive-at-mrbrklyn.com
Received: by mrbrklyn.com (Postfix)
id 60E01161163; Wed, 10 Dec 2014 11:21:38 -0500 (EST)
Delivered-To: learn-outgoing-at-mrbrklyn.com
Received: by mrbrklyn.com (Postfix, from userid 28)
id 2FD65161167; Wed, 10 Dec 2014 11:21:38 -0500 (EST)
Delivered-To: learn-at-nylxs.com
Received: by mrbrklyn.com (Postfix, from userid 1000)
id F060F161166; Wed, 10 Dec 2014 11:21:35 -0500 (EST)
Date: Wed, 10 Dec 2014 11:21:35 -0500
From: mrbrklyn-at-panix.com
To: Ping-Tsai Chung
Cc: learn-at-nylxs.com
Subject: [LIU Comp Sci] MINIPROJECT
Message-ID: <20141210162135.GA15362-at-www.mrbrklyn.com>
MIME-Version: 1.0
Content-Type: multipart/mixed; boundary="KsGdsel6WgEHnImy"
Content-Disposition: inline
User-Agent: Mutt/1.5.21 (2010-09-15)
Sender: owner-learn-at-mrbrklyn.com
Precedence: bulk
Reply-To: learn-at-mrbrklyn.com


--KsGdsel6WgEHnImy
Content-Type: text/plain; charset=us-ascii
Content-Disposition: inline

Hello

This is the miniproject. I finished it a week ago but I wanted to print
it out and ask you how you wanted the constraints to be displayed, but
I couldn't get you to answer those questions. So this is the best I
could do.

This was done with SQLPLUS with Oracle on my laptop.

The file is PDF formal, which is easy to print. I also have an
openoffice format for editing purposes.


Note that copies of this assignment are also posting to the NYLXS
website in the area dedicated to the Database Class at

http://www.nylxs.com/docs/grad_school/database/
http://www.nylxs.com/docs/grad_school/database/miniproject.pdf
http://www.nylxs.com/docs/grad_school/database/miniproject.odt


Shalom
Ruben Safir
--
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


--KsGdsel6WgEHnImy
Content-Type: application/vnd.oasis.opendocument.text
Content-Disposition: attachment; filename="miniproject.odt"
Content-Transfer-Encoding: base64
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  1. 2014-12-02 Ruben <ruben.safir-at-my.liu.edu> Subject: [LIU Comp Sci] Arch Study tonight
  2. 2014-12-02 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Memory Notes et al
  3. 2014-12-02 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Re: Sorry for the last reply
  4. 2014-12-06 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] All the notes through External Memory
  5. 2014-12-06 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Parity Bit Algebra
  6. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  7. 2014-12-06 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Parity Bit Algebra
  8. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  9. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  10. 2014-12-06 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Parity Bit Algebra
  11. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  12. 2014-12-06 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Parity Bit Algebra
  13. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  14. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  15. 2014-12-06 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Parity Bit Algebra
  16. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  17. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  18. 2014-12-06 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Parity Bit Algebra
  19. 2014-12-06 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Parity Bit Algebra
  20. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  21. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Parity Bit Algebra
  22. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] All the notes through External Memory
  23. 2014-12-06 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Parity Bit Algebra
  24. 2014-12-07 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Computer Available
  25. 2014-12-07 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Computer Available
  26. 2014-12-07 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Computer Available
  27. 2014-12-07 mrbrklyn-at-panix.com Subject: [LIU Comp Sci] Upcoming Events for Oracle Professionals
  28. 2014-12-08 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Memorize Optcode
  29. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Memorize Optcode
  30. 2014-12-08 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Memorize Optcode
  31. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Memorize Optcode
  32. 2014-12-08 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Memorize Optcode
  33. 2014-12-08 Kamran <kamran.mirzayev-at-my.liu.edu> Re: [LIU Comp Sci] Memorize Optcode
  34. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Memorize Optcode
  35. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Memorize Optcode
  36. 2014-12-08 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Memorize Optcode
  37. 2014-12-08 Ruben <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Memorize Optcode
  38. 2014-12-08 Ruben <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Memorize Optcode
  39. 2014-12-08 Ruben <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Memorize Optcode
  40. 2014-12-08 Kamran <kamran.mirzayev-at-my.liu.edu> Re: [LIU Comp Sci] Memorize Optcode
  41. 2014-12-08 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] UPerclassmen
  42. 2014-12-08 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] UPerclassmen
  43. 2014-12-08 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] UPerclassmen
  44. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] UPerclassmen
  45. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Arch Problem Solution for the final HW question
  46. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Foundation for OPTCODE and Machine Instruction
  47. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Memorize Optcode
  48. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Notes Done on In and Out, Operating Systemsm Modules and Memoery
  49. 2014-12-08 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] UPerclassmen
  50. 2014-12-09 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Anyone in school
  51. 2014-12-09 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] CPU Instructions - Notes for Chapter 14
  52. 2014-12-09 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Machine Instructions notes
  53. 2014-12-09 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Relative - PC addressing
  54. 2014-12-09 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] wifi
  55. 2014-12-10 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Answers to the final review questions
  56. 2014-12-10 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] database Hoem Work
  57. 2014-12-10 duodujames <duodujames-at-gmail.com> RE: [LIU Comp Sci] noone in class?
  58. 2014-12-10 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] UPerclassmen
  59. 2014-12-10 Maneesh Kongara <maneeshkongara-at-gmail.com> Subject: [LIU Comp Sci] Answers to the final review questions
  60. 2014-12-10 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] database Hoem Work
  61. 2014-12-10 Ruben <ruben.safir-at-my.liu.edu> Subject: [LIU Comp Sci] Fwd: MINIPROJECT
  62. 2014-12-10 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] HW 6
  63. 2014-12-10 mrbrklyn-at-panix.com Subject: [LIU Comp Sci] MINIPROJECT
  64. 2014-12-10 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] noone in class?
  65. 2014-12-10 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] welcome jame
  66. 2014-12-10 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] [mrbrklyn-at-panix.com: HW Last one maybe 6?]
  67. 2014-12-11 Ruben Safir <mrbrklyn-at-panix.com> Fwd: Re: [LIU Comp Sci] Database Class concepts which are still unclear
  68. 2014-12-11 Ruben Safir <mrbrklyn-at-panix.com> Re: Fwd: Re: [LIU Comp Sci] Database Class concepts which are still
  69. 2014-12-11 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] Database Class concepts which are still unclear
  70. 2014-12-11 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] Database Class concepts which are still unclear
  71. 2014-12-11 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Database Class concepts which are still unclear
  72. 2014-12-11 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Database Class concepts which are still unclear
  73. 2014-12-11 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Fwd: Invitation: Flatiron Alumni Present!
  74. 2014-12-11 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Fwd: Re: Database Class concepts which are still unclear
  75. 2014-12-11 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Fwd: turning attibute values into relations?
  76. 2014-12-11 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] jobs
  77. 2014-12-12 James Kwabena Duodu <duodujames-at-gmail.com> Re: [LIU Comp Sci] Answers to the final review questions
  78. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] .NET and C# free implimentation
  79. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Calling Upper Classman
  80. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Fwd: Re: n-ary operations
  81. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Fwd: Re: Oracle XE Web Server
  82. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Fwd: Re: relational algrabra division?
  83. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] jobs
  84. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] lerning tools
  85. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] liu mailing list
  86. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Re: turning attibute values into relations?
  87. 2014-12-12 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Sunday Arch Finals Review Study Session
  88. 2014-12-13 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Answers to the final review questions
  89. 2014-12-13 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] (fwd) Re: relational algrabra division?
  90. 2014-12-13 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Base Conversations
  91. 2014-12-13 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Gates HW problems
  92. 2014-12-13 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Logic Gates
  93. 2014-12-13 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] old homework question
  94. 2014-12-14 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Answers to the final review questions
  95. 2014-12-14 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] NOTE ERROR:****Error in the Hamming notes on the final review
  96. 2014-12-15 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] Answers to the final review questions
  97. 2014-12-15 Kamran <kamran.mirzayev-at-my.liu.edu> Re: [LIU Comp Sci] study hall today
  98. 2014-12-15 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] study hall today
  99. 2014-12-15 Kamran <kamran.mirzayev-at-my.liu.edu> Re: [LIU Comp Sci] study hall today
  100. 2014-12-15 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] study hall today
  101. 2014-12-15 Kamran <kamran.mirzayev-at-my.liu.edu> Re: [LIU Comp Sci] study hall today
  102. 2014-12-15 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] study hall today
  103. 2014-12-15 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] study hall today
  104. 2014-12-15 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] study hall today
  105. 2014-12-15 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] study hall today
  106. 2014-12-15 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] study hall today
  107. 2014-12-15 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] study hall today
  108. 2014-12-15 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] errror in the hamming notes.
  109. 2014-12-15 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] [Samir.Iabbassen-at-liu.edu: RE: NOTE ERROR:****Error in the Hamming
  110. 2014-12-16 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Study Hall
  111. 2014-12-16 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Study Hall
  112. 2014-12-16 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] [mrbrklyn-at-panix.com: HW Last one maybe 6?]
  113. 2014-12-17 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] database class
  114. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] database class
  115. 2014-12-17 James Kwabena Duodu <duodujames-at-gmail.com> Re: [LIU Comp Sci] database class
  116. 2014-12-17 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] database class
  117. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] database class
  118. 2014-12-17 duodujames <duodujames-at-gmail.com> Re: [LIU Comp Sci] database class
  119. 2014-12-17 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] database class
  120. 2014-12-17 James Kwabena Duodu <duodujames-at-gmail.com> Re: [LIU Comp Sci] database class
  121. 2014-12-17 Maneesh Kongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] database class
  122. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] database class
  123. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] database class
  124. 2014-12-17 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] database class
  125. 2014-12-17 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] study hall today
  126. 2014-12-17 Kamran <kamran.mirzayev-at-my.liu.edu> Re: [LIU Comp Sci] study hall today
  127. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] why is this textbook just off the look
  128. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] why is this textbook just off the look
  129. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] database class
  130. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Fwd: Database HW6
  131. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] the silence
  132. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Traffic Lights Diagram
  133. 2014-12-17 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] why is this textbook just off the look
  134. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] in coming
  135. 2014-12-18 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] Need tutoring on Relational Calculus
  136. 2014-12-18 Ruben <ruben.safir-at-my.liu.edu> Re: [LIU Comp Sci] Need tutoring on Relational Calculus
  137. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Need tutoring on Relational Calculus
  138. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Need tutoring on Relational Calculus
  139. 2014-12-18 Sergei Glikstein <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  140. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  141. 2014-12-18 Sergei Glikstein <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  142. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  143. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  144. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  145. 2014-12-18 maneeshkongara <maneeshkongara-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  146. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  147. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  148. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  149. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  150. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  151. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  152. 2014-12-18 Sergei Glikstein <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  153. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  154. 2014-12-18 From: <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  155. 2014-12-18 Sergei Glikstein <serge.gl-at-gmail.com> Re: [LIU Comp Sci] Normalization review
  156. 2014-12-18 From: <mrbrklyn-at-panix.com> Re: [LIU Comp Sci] Normalization review
  157. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] BCNF
  158. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] in coming
  159. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] lunch
  160. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Need tutoring on Relational Calculus
  161. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Normalization review
  162. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Re: relational calculus
  163. 2014-12-18 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] relational calculus
  164. 2014-12-19 Ruben <ruben.safir-at-my.liu.edu> Subject: [LIU Comp Sci] Oracle Files for the Homework and Oracle Resources
  165. 2014-12-22 Ruben <ruben.safir-at-my.liu.edu> Subject: [LIU Comp Sci] Operating Systems Class
  166. 2014-12-30 Ruben Safir <mrbrklyn-at-panix.com> Subject: [LIU Comp Sci] Creating a New OS: Final Projects for MS degree

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