Big Data and Business Analytics ¤j¼Æ¾Ú»P°Ó·~¤ÀªR 2017 Spring

• Announcement
• Class Information
• Requirement and Grading
• Schedule
• ¦¨ÁZ¬d¸ß

1. Announcement

• 2017/01/25: ½Òµ{Á¿¸q±N³°Äò©ó¤W½Ò«e¦bºô¯¸¤½¥¬¤U¸ü¡C
• 2017/3/1: ceiba§@·~ú¥æ³sµ² MBA IM¡C

2. Class Information

• ½Òµ{½s¸¹: MBA5073 (741 U1200) / IM5047 (725 U3580)
• ¤W½Ò®É¶¡: ¬P´Á¤T 2,3,4 (9:10~12:10) ºÞ¤@103
• ±Â½Ò±Ð®v: ·¨¥ß°¶ ³Õ¤h (wyangntu.edu.tw)
• ½Òµ{§U±Ð: °Ó¬ãºÓ¤G ³¯©É§Â (r04741020ntu.edu.tw) ¸êºÞ ºÓ¤@½²Â`¦t (r05725012ntu.edu.tw)
• Office Hour: ½Ò«á¨Ì»Ý­n¦Ó©w
• °Ñ¦Ò®Ñ¥Ø:
1. ¥»½Òµ{°Ñ¦Ò®Ñ¥Ø¦p¤U¡G
   A tiny handbook of R (2011) by Mike Allerhand, SpringerLink. (¥x¤j¹Ï®ÑÀ]/¹q¤l®Ñ)
   R and data mining: examples and case studies (2013) by Yangchang Zhao, Elsevier. (¥x¤j¹Ï®ÑÀ]/¹q¤l®Ñ)
   The R book (2013) by Michael J. Crawley, Wiley. (¥x¤j¹Ï®ÑÀ]/¹q¤l®Ñ)
   Chapter 11, Modern Database Management (12th edition, 2016) by Jeff Hoffer, Ramesh, and Heikki Topi, Pearson (¶}µo)
   Chapter 10, Introduction to Information Systems (16th edition, 2013). by James A. O¡¦Brien & George M. Marakas, McGraw-Hill. (µØ®õ)
   Big Data : A Revolution that will transform how we live, work, and think (2013) by Viktor Mayer-Schonberger, Kenneth Cukier.
   ¤¤Ä¶¥»¡G¡m¤j¼Æ¾Ú¡n¡A¤Ñ¤U¤å¤Æ¡A2013¦~5¤ë
   Data Science from Scratch (2015) by Joel Grus, O'Reilly Media
   ¤¤¤åª©¡G¡m¥ÎPython¾Ç¸ê®Æ¬ì¾Ç¡n¡AùÖ®p¡A2016¦~10¤ë
   À³¥ÎR»y¨¥©ó¸ê®Æ¤ÀªR¡A§õ¤¯ÄÁ¡AªQ±^¡A2015¦~6¤ë

3. Requirement and Grading

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1. ¤F¸Ñ¤j¼Æ¾Ú»P°Ó·~¤ÀªR¤§²z½×°ò¦»P¬[ºc
2. ¤F¸Ñ¦UºØ¤j¼Æ¾Ú»P°Ó·~¤ÀªR¨t²Î¤§¤º²[
3. ¤F¸Ñ¦p¦ó«Ø¸m¤j¼Æ¾Ú»P°Ó·~¤ÀªR¨t²Î¡A¥H¤Î»P¥ø·~¤§Ãö«Y
4. ¤F¸Ñ¼Æ¦ì®É¥N¤U³Ì·sªº¤j¼Æ¾Ú»P°Ó·~¤ÀªRijÃD

±Â½Ò¤è¦¡:

1. ¥D­n±Ä¥Î½Ò°ó¤W½Ò¡A¥H§ë¼v¤ù·f°t¹ê°È®×¨Ò¸Ñ»¡¡C
2. §t¤À²Õ°Q½×»P°Ýµª¡C

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• §@·~¤Î½Ò°óªí²{ (40%)
• ´Á¤¤³ø§i¤Î¤¬µû (30%)
• ´Á¥½³ø§i¤Î¤¬µû (30%)

4. Schedule

 

¶g¦¸	¥DÃD	§ë¼v¤ù
Week 01 (2017.02.22)	Introduction	½Òµ{¤¶²Ð
Week 02 (2017.03.01)	L1: Text mining	L1 §@·~1
Week 03 (2017.03.08)	§@·~¬ã²ß(°±½Ò)
Week 04 (2017.03.15)	L2: Web mining	L2
Week 05 (2017.03.22)	L3: Classification	L3-1 L3-2 §@·~2 µü¶°
Week 06 (2017.03.29)	L4: Clustering	L4 ´Á¤¤³ø§i­n¨D ªÑ»ù
Week 07 (2017.04.05)	©ñ°²
Week 08 (2017.04.12)	L5: Language Processing
Week 09 (2017.04.19)	´Á¤¤³ø§i
Week 10 (2017.04.26)	Case: Social/Text Analytics	®×¨Ò ¸ê®Æ¶°
Week 11 (2017.05.03)	L6: Support Decision Making	L6
Week 12 (2017.05.10)	Case: E-Commerce/Web Analytics (1)	Á¿¸q¤Î¸ê®Æ¶°½Ð¨£ceiba
Week 13 (2017.05.17)	Case: E-Commerce/Web Analytics (2)
Week 14 (2017.05.24)	¹ê²ß½Òµ{	Á¿¸q
Week 15 (2017.05.31)	L5: Language Processing	L5
Week 16 (2017.06.07)	§@·~¬ã²ß(°±½Ò)
Week 17 (2017.06.14)	´Á¥½³ø§i(1)
Week 18 (2017.06.21)	´Á¥½³ø§i(2)

5. ¦¨ÁZ¬d¸ß

Last update: 2017 Feb.