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<div class=WordSection1>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:12.0pt;
margin-left:0cm;line-height:normal;mso-outline-level:4'><b><span
style='font-size:16.0pt;mso-bidi-font-size:19.0pt;font-family:"Bookman Old Style","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Helvetica;
color:#1F497D;mso-themecolor:text2;mso-bidi-language:HI'>Parallel and Distributed Data Stream Mining</span></b><span style='font-size:16.0pt;
mso-bidi-font-size:19.0pt;font-family:"Bookman Old Style","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:#333333;mso-bidi-language:
HI'><o:p></o:p></span></p>
<div align='right'><a href='Course5a.pdf'>Course Brochure</a></div>
<p class=MsoNormal style='margin-bottom:12.0pt;line-height:150%'><span
style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:HI'><br>
</span><b><span style='font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";color:#333333;mso-bidi-language:HI'>Overview</span></b><span
style='font-size:14.0pt;line-height:150%;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'><o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:12.0pt;text-align:justify;line-height:
150%'><span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
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</span><span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'>Data is being continuously collected from a variety of sensor sources, such as Twitter feeds, news streams, and environmental sensors. It is a significant challenge to continuously monitor such data and derive insights in a timely manner. This course on data stream analysis focuses on methods and software for deriving patterns and aggregates from data streams in real-time. The course will focus on (1) Parallel and distributed methods for data stream mining, (2) Methods for mining from graphical data, where each stream item represents a relationship between entities.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:12.0pt;text-align:justify;line-height:
150%'><span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'>
The main objectives of the course are:
<ul>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Introduce the student to use cases of stream processing, data stream model and graph stream model.</li>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Present algorithmic techniques for graph stream processing, including random sampling, graph sketches, and merge-and-reduce.</li>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Show their application to problems such as subgraph counting, graph connectivity, random sampling from graphs, graph matchings, etc.</li>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Present current techniques on monitoring distributed streams, including algorithms in the continuous distributed monitoring model.</li>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Provide practical perspective on building software for stream processing.</li>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Provide experience with an open source tool, Apache Flink.</li>
</ul>
<o:p></o:p></span></p>
<table class=MsoNormalTable border=0 cellspacing=0 cellpadding=0 width="100%"
style='width:100.0%;border-collapse:collapse;mso-yfti-tbllook:1184'>
<tr style='mso-yfti-irow:0;mso-yfti-firstrow:yes'>
<td valign=top style='background:#215868;mso-background-themecolor:accent5;
mso-background-themeshade:128;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:
7.5pt;margin-left:0cm;line-height:normal;mso-outline-level:4'><span
style='font-size:13.5pt;font-family:"inherit","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:white;mso-bidi-language:
HI'>Modules<o:p></o:p></span></p>
</td>
<td width="70%" valign=top style='width:70.0%;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Course Start Date: 19/12/2017;
Course End Date:23/12/2017<o:p></o:p></span></li>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Number of Participants
(maximum): 50 (Preference will be given to the participants registering
against 2 Credits)<o:p></o:p></span></li>
</ul>
<p class=MsoNormal style='margin-top:3.75pt;margin-right:0cm;margin-bottom:
3.75pt;margin-left:36.0pt;text-align:justify;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Basic Fundamentals of Stream Processing: (2 lectures, 1 Tutorial)<o:p></o:p></span></li>
</ul>
<p class=MsoListParagraphCxSpFirst style='margin-top:3.75pt;margin-right:
0cm;margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:
justify;text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Fundamentals of Stream Processing, Models, Algorithms, and Systems <o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>High Velocity Data Stream mining algorithms & techniques - I<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Basics of Stream Processing Software using Apache Flink (Tutorial)<o:p></o:p></span></p><br>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Data Stream Sampling and Mining: (2 lectures, 1 Tutorial)
<o:p></o:p></span></li>
</ul>
<p class=MsoListParagraphCxSpFirst style='margin-top:3.75pt;margin-right:
0cm;margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:
justify;text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>High Velocity Data Stream mining algorithms and techniques - II<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Random Sampling from Data Streams<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Processing Streaming Data Using an Operator Pipeline (Tutorial)<o:p></o:p></span></p><br>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Graph Stream Processing: (2 lectures, 1 Tutorial)
<o:p></o:p></span></li>
</ul>
<p class=MsoListParagraphCxSpFirst style='margin-top:3.75pt;margin-right:
0cm;margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:
justify;text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Graph Stream Processing - I<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Graph Stream Processing - II<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Distributed stream processing using Apache Flink (Tutorial)<o:p></o:p></span></p><br>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Distributed/Parallel Stream Processing and Challeneges: (2 lectures, 1 Tutorial)
<o:p></o:p></span></li>
</ul>
<p class=MsoListParagraphCxSpFirst style='margin-top:3.75pt;margin-right:
0cm;margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:
justify;text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Parallel and Distributed Stream Processing <o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Performance Measures and Challenges of Data Streams <o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Use cases of real-time Data Stream Mining (Tutorial)<o:p></o:p></span></p><br>
<ul style='margin-top:0cm' type=disc>
<li class=MsoNormal style='margin-top:3.75pt;margin-bottom:3.75pt;
text-align:justify;line-height:13.95pt;mso-list:l2 level1 lfo8'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Stream Learning and Complex Event Processing: (2 lectures, 1 Tutorial)
<o:p></o:p></span></li>
</ul>
<p class=MsoListParagraphCxSpFirst style='margin-top:3.75pt;margin-right:
0cm;margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:
justify;text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Machine Learning on Data Streams <o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Complex Event Processing on Data Streams <o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-top:3.75pt;margin-right:0cm;
margin-bottom:3.75pt;margin-left:72.0pt;mso-add-space:auto;text-align:justify;
text-indent:-18.0pt;line-height:13.95pt;mso-list:l2 level2 lfo8'><![if !supportLists]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
Helvetica;mso-bidi-language:HI'><span style='mso-list:Ignore'>–<span
style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Rump session for participants (Tutorial)<o:p></o:p></span></p>
</td>
</tr>
<tr style='mso-yfti-irow:1'>
<td valign=top style='background:#215868;mso-background-themecolor:accent5;
mso-background-themeshade:128;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:
7.5pt;margin-left:0cm;line-height:normal;mso-outline-level:4'><span
style='font-size:13.5pt;font-family:"inherit","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:white;mso-bidi-language:
HI'>Who can attend<span class=GramE>...</span><o:p></o:p></span></p>
</td>
<td valign=top style='padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoListParagraphCxSpFirst style='margin-top:0cm;margin-right:0cm;
margin-bottom:12.0pt;margin-left:35.7pt;mso-add-space:auto;text-align:justify;
text-indent:-17.85pt;line-height:13.95pt;mso-list:l10 level1 lfo11'><![if !supportLists]><span
style='font-size:10.0pt;font-family:Wingdings;mso-fareast-font-family:Wingdings;
mso-bidi-font-family:Wingdings;mso-bidi-language:HI'><span style='mso-list:
Ignore'>Ø<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Faculties, Engineers, Scientists, and
Researchers from academic, industrial and government organizations including
R&D laboratories from India or abroad.<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpFirst style='margin-top:0cm;margin-right:0cm;
margin-bottom:12.0pt;margin-left:35.7pt;mso-add-space:auto;text-align:justify;
text-indent:-17.85pt;line-height:13.95pt;mso-list:l10 level1 lfo11'><![if !supportLists]><span
style='font-size:10.0pt;font-family:Wingdings;mso-fareast-font-family:Wingdings;
mso-bidi-font-family:Wingdings;mso-bidi-language:HI'><span style='mso-list:
Ignore'>Ø<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Students at all levels (BE/<span
class=SpellE>BTech</span>/MSc/ME/<span class=SpellE>MTech</span>/PhD/Other)
from academic and technical institutions/universities from India or abroad.<o:p></o:p></span></p>
<p class=MsoListParagraphCxSpLast style='margin-bottom:0cm;margin-bottom:
.0001pt;mso-add-space:auto;text-align:justify;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:36.0pt;margin-bottom:.0001pt;text-align:justify;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'><b>NOTE:</b> Number of participants for the course
will be limited to fifty. Preference will be given to the participants opting
against credits.<span style='color:#333333'><o:p></o:p></span></span></p>
</td>
</tr>
<tr style='mso-yfti-irow:2;mso-yfti-lastrow:yes'>
<td valign=top style='background:#215868;mso-background-themecolor:accent5;
mso-background-themeshade:128;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:
7.5pt;margin-left:0cm;line-height:normal;mso-outline-level:4'><span
style='font-size:13.5pt;font-family:"inherit","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:white;mso-bidi-language:
HI'>Fees<o:p></o:p></span></p>
</td>
<td valign=top style='padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:15.7pt;margin-bottom:.0001pt;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>The participation fees for taking the
course is as follows:<o:p></o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:15.7pt;margin-bottom:.0001pt;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:0cm;
margin-left:36.0pt;margin-bottom:.0001pt;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>Participants from abroad : US $500<br>
Industry/Research Organizations: INR 10,000<br>
Academic Institutions: INR 2,000 (half for SC/ST students)<o:p></o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:7.5pt;
margin-left:15.7pt;line-height:13.95pt'><span style='font-size:10.0pt;
font-family:"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-top:0cm;margin-right:0cm;margin-bottom:7.5pt;
margin-left:15.7pt;text-align:justify;line-height:13.95pt'><span
style='font-size:10.0pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-language:HI'>The above fee include all
instructional materials, computer use for tutorials and assignments,
laboratory equipment usage charges, 24 hours free internet facility. The
participants will be provided with accommodation on payment basis.<span
style='color:#333333'><o:p></o:p></span></span></p>
</td>
</tr>
</table>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:7.5pt;
margin-left:0cm;line-height:normal;mso-outline-level:4'><span style='font-size:
13.5pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
color:#333333;mso-bidi-language:HI'><o:p> </o:p></span></p>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:7.5pt;
margin-left:0cm;line-height:normal;mso-outline-level:4'><b><span
style='font-size:13.5pt;font-family:"Helvetica","sans-serif";mso-fareast-font-family:
"Times New Roman";color:#333333;mso-bidi-language:HI'>The Faculty<o:p></o:p></span></b></p>
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style='width:100.0%;border-collapse:collapse;mso-yfti-tbllook:1184;mso-padding-alt:
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<tr style='mso-yfti-irow:0;mso-yfti-firstrow:yes;mso-yfti-lastrow:yes'>
<td width="70%" valign=bottom style='width:70.0%;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-bottom:7.5pt;text-align:justify;line-height:
150%'><v:shapetype id="_x0000_t75" coordsize="21600,21600" o:spt="75"
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<v:imagedata src="images/sv.jpg" o:title="photo"/>
<w:wrap type="tight"/>
</v:shape><![endif]--><![if !vml]><img width=97 height=119
src="images/srikanta.jpg" align=left hspace=12
alt="images/srikanta.jpg"
v:shapes="Picture_x0020_1"><![endif]>
<span style='font-size:10.0pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:
HI'> </span><a href="http://www.cs.utah.edu/~suresh/web/"><b><span
style='font-size:9.5pt;line-height:150%;font-family:"Bookman Old Style","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Helvetica;
color:#00A3D3;mso-bidi-language:HI;text-decoration:none;text-underline:none'>Dr.
Srikanta <span class=SpellE>Tirthapura</span></span></b></a><span
style='font-size:9.5pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:
HI'> </span><span style='font-size:9.5pt;line-height:150%;font-family:
"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
mso-bidi-language:HI'> is the Kingland Professor of Data Analytics and professor of Computer Engineering at Iowa State University. He received his B.Tech. in Computer Science from IIT Madras, and his PhD in Computer Science from Brown University. His research interests are in efficient algorithms for large data, especially for streaming and dynamic data, and applications in cybersecurity and transportation. He has published widely in top-tier venues in databases, and in parallel and distributed computing, with more than 80 publications and six patents. His industry experience includes working at Oracle Corporation and at Microsoft Research. He has received awards for his research and teaching, including the IBM Faculty Award and the Warren Boast Undergraduate Teaching Award.<o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:7.5pt;text-align:justify;line-height:
150%'>
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margin-top:-.25pt;width:72.4pt;height:89.55pt;z-index:-251656192;
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</v:shape><![endif]--><![if !vml]><img width=97 height=119
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v:shapes="Picture_x0020_1"><![endif]>
<v:shape id="Picture_x0020_6" o:spid="_x0000_s1026" type="#_x0000_t75"
alt="https://gian.iiita.ac.in/images/sonali.png" style='position:absolute;
left:0;text-align:left;margin-left:-73.5pt;margin-top:28.1pt;width:64.6pt;
height:86.2pt;z-index:-251657216;visibility:visible;mso-wrap-style:square;
mso-wrap-distance-left:9pt;mso-wrap-distance-top:0;
mso-wrap-distance-right:9pt;mso-wrap-distance-bottom:0;
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<v:imagedata src="images/sonali.png" o:title="sv"/>
<o:lock v:ext="edit" aspectratio="f"/>
<w:wrap type="tight"/>
</v:shape><span style='font-size:10.0pt;line-height:150%;font-family:"Bookman Old Style","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Helvetica;
color:#333333;mso-bidi-language:HI'> </span><a
href="http://www.iiita.ac.in/sonali/"><b><span
style='font-size:9.5pt;line-height:150%;font-family:"Bookman Old Style","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Helvetica;
color:#00A3D3;mso-bidi-language:HI;text-decoration:none;text-underline:none'>Dr.
<span class=SpellE>Sonali</span> Agarwal</span></b></a><span
style='font-size:9.5pt;line-height:150%;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:#333333;mso-bidi-language:
HI'> </span><span style='font-size:9.5pt;line-height:150%;font-family:
"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
mso-bidi-language:HI'>
is working as an Assistant Professor in the Information Technology Division of Indian Institute of Information Technology (IIIT), Allahabad, India. She received her Ph.D Degree from IIIT Allahabad and joined as a faculty at IIIT Allahabad, where she is teaching since October 2009. She holds Bachelor of Engineering (B.E.) degree in Electrical Engineering from Bhilai Institute of Technology, Bhilai, (C.G.) India and Masters of Engineering (M.E.) degree in Computer Science from Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India. Her main research interests are in the areas of Big Data, Big Data Mining, Support Vector Machines, Stream Analytics and Software Engineering. She attended a number of National and International Conferences/workshops and authored more than 60 research papers in national/international journals and conferences of repute. She completed her Masters thesis work at Liverpool John Moores University (LJMU), Liverpool, U.K. during November 1999 to February 2000 under Indo-UK REC Project, a joint collaboration in between School of Computing & Mathematical Science, LJMU Liverpool UK and Motilal Nehru National Institute of Technology, Allahabad. She had participated in Indo Swiss Joint Research Program (ISJRP) and full financial support was awarded to carry out joint research work and to gain knowledge regarding the recent research and experimental facility/work at EPFL, Switzerland, from December 2011 to January 2012.
<o:p></o:p></span></p>
</td>
<td valign=bottom style='background:#215868;mso-background-themecolor:accent5;
mso-background-themeshade:128;padding:14.2pt 14.2pt 14.2pt 14.2pt'>
<p class=MsoNormal style='margin-top:7.5pt;margin-right:0cm;margin-bottom:
7.5pt;margin-left:0cm;line-height:normal;mso-outline-level:4'><span
style='font-size:13.5pt;font-family:"inherit","serif";mso-fareast-font-family:
"Times New Roman";mso-bidi-font-family:Helvetica;color:white;mso-bidi-language:
HI'>Course Coordinator<o:p></o:p></span></p>
<p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;line-height:
13.95pt'><span style='font-size:10.0pt;font-family:"Helvetica","sans-serif";
mso-fareast-font-family:"Times New Roman";color:white;mso-bidi-language:HI'>Dr.
<span class=SpellE>Sonali</span> Agarwal<br>
Phone: 0532-2922424<br>
Email: <span class=SpellE>sonali</span> {at} <span class=SpellE>iiita</span>
{dot} ac {dot} in<br>
.......................................................<br>
</span>https://gian.iiita.ac.in/<span style='font-size:10.0pt;font-family:
"Helvetica","sans-serif";mso-fareast-font-family:"Times New Roman";
color:white;mso-bidi-language:HI'><o:p></o:p></span></p>
</td>
</tr>
</table>
<p class=MsoNormal style='margin-bottom:0cm;margin-bottom:.0001pt;line-height:
normal'><span style='font-size:12.0pt;font-family:"Times New Roman","serif";
mso-fareast-font-family:"Times New Roman";mso-bidi-language:HI'><o:p> </o:p></span></p>
</div>