Difference between revisions of "Main Page"

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<big>'''MediaWiki has been successfully installed.'''</big>
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<div style=background:#2B3856 border:#A3BFB1>
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[[Image:va.jpg|200px]]
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<font size = 5; color="#FFFFFF">IS428 Visual Analytics for Business Intelligence</font>
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</div>
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<!--MAIN HEADER -->
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[[Course_information| <font color="#FFFFFF">About</font>]]
  
Consult the [http://meta.wikimedia.org/wiki/Help:Contents User's Guide] for information on using the wiki software.
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[[Lesson_Plan| <font color="#FFFFFF">Weekly Session</font>]]
  
== Getting started ==
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[[Assignments| <font color="#FFFFFF">Assignments</font>]]
  
* [http://www.mediawiki.org/wiki/Manual:Configuration_settings Configuration settings list]
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| style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#2B3856; text-align:center;" width="15%" |
* [http://www.mediawiki.org/wiki/Manual:FAQ MediaWiki FAQ]
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* [http://lists.wikimedia.org/mailman/listinfo/mediawiki-announce MediaWiki release mailing list]
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[[DataViz| <font color="#FFFFFF">DataViz Makeover II</font>]]
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[[VAProject| <font color="#FFFFFF">Visual Analytics Project</font>]]
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[[Course_Resources| <font color="#FFFFFF">Course Resources</font>]]
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|  &nbsp;
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<br/>
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<font size = 5>'''Welcome!'''</font>
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{| border="1" cellpadding="1"
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|-
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|width="150pt"|Faculty
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|width="250pt"|[http://sis.smu.edu.sg/directory/kam-tin-seong Dr. Kam Tin Seong], Associate Professor of Information Systems (Practice)
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[mailto:tskam@smu.edu.sg e-mail]
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|-
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|Course||Visual Analytics for Business Intelligence
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|-
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|Course code||IS428
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|-
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|Term||Year 2019-2020, Term 1
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|-
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|Section||G1
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|-
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|Day/Time:||Friday 8:15am -11:30am
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|-
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|width="50pt"|Venue:
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|width="250pt"|SR 3.3, SIS Building
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|-
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|}
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== What is this wiki page for? ==
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You will be using the course wiki to:
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*Review the course design document
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*Read the weekly lesson plan and course readings
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*Post questions and debate readings
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*Upload your assignments
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*Upload your VABI project deliverables
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*Share resources and links

Latest revision as of 14:13, 8 November 2019

Va.jpg IS428 Visual Analytics for Business Intelligence

About

Weekly Session

Assignments

DataViz Makeover II

Visual Analytics Project

Course Resources

 



Welcome!

Faculty Dr. Kam Tin Seong, Associate Professor of Information Systems (Practice)

e-mail

Course Visual Analytics for Business Intelligence
Course code IS428
Term Year 2019-2020, Term 1
Section G1
Day/Time: Friday 8:15am -11:30am
Venue: SR 3.3, SIS Building


What is this wiki page for?

You will be using the course wiki to:

  • Review the course design document
  • Read the weekly lesson plan and course readings
  • Post questions and debate readings
  • Upload your assignments
  • Upload your VABI project deliverables
  • Share resources and links