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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal>Hi guys,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>I have compiled a list of courses that you should watch at your spare time on coursera.org. I put the list on our Wiki: <o:p></o:p></p><p class=MsoNormal><a href="http://adapt.seiee.sjtu.edu.cn/~wiki/index.php/Recommended_Courses_for_New_ADAPTers">http://adapt.seiee.sjtu.edu.cn/~wiki/index.php/Recommended_Courses_for_New_ADAPTers</a><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Specifically, they are:<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:1.2pt;margin-left:19.2pt;text-indent:-.25in;line-height:14.4pt;mso-list:l0 level1 lfo1;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol;color:black'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-size:9.5pt;font-family:"Arial","sans-serif";color:black'><a href="https://www.coursera.org/course/optimization"><span style='color:#663366;text-decoration:none'>Discrete Optimization</span></a><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:1.2pt;margin-left:19.2pt;text-indent:-.25in;line-height:14.4pt;mso-list:l0 level1 lfo1;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol;color:black'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-size:9.5pt;font-family:"Arial","sans-serif";color:black'><a href="https://www.coursera.org/course/nlangp"><span style='color:#663366;text-decoration:none'>Natural Language Processing</span></a><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:1.2pt;margin-left:19.2pt;text-indent:-.25in;line-height:14.4pt;mso-list:l0 level1 lfo1;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol;color:black'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-size:9.5pt;font-family:"Arial","sans-serif";color:black'><a href="https://www.coursera.org/course/proglang"><span style='color:#663366;text-decoration:none'>Programming Languages</span></a><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:1.2pt;margin-left:19.2pt;text-indent:-.25in;line-height:14.4pt;mso-list:l0 level1 lfo1;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol;color:black'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-size:9.5pt;font-family:"Arial","sans-serif";color:black'><a href="https://www.coursera.org/learn/machine-learning"><span style='color:#663366;text-decoration:none'>Machine Learning</span></a><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:1.2pt;margin-left:19.2pt;text-indent:-.25in;line-height:14.4pt;mso-list:l0 level1 lfo1;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol;color:black'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-size:9.5pt;font-family:"Arial","sans-serif";color:black'><a href="https://www.coursera.org/course/textanalytics"><span style='color:#663366;text-decoration:none'>Text Mining and Analytics</span></a><o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;margin-bottom:1.2pt;margin-left:19.2pt;text-indent:-.25in;line-height:14.4pt;mso-list:l0 level1 lfo1;background:white'><![if !supportLists]><span style='font-size:10.0pt;font-family:Symbol;color:black'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-size:9.5pt;font-family:"Arial","sans-serif";color:black'><a href="https://www.coursera.org/course/pgm"><span style='color:#663366;text-decoration:none'>Probabilistic Graphical Models</span></a><o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Enjoy these courses during summer!<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Kenny<o:p></o:p></p></div></body></html>