深網智慧與腦資訊學 (FJU-CSIE-Spring10)

Class Time: Wed 6:40-9:20p Location: SF648
Instructor: Dr. Hsing Mei Office: SF625 (or Second Life Dr'M's Office )
Email: mei@csie.fju.edu.tw Phone: 29053704
Hour in Office and SL: Tue/Wed/Fri 1:40-4:30p, or by appointment
Second Life:
(1) Join WECO Group,
(2) Profile/1st Life/Info: ie9x5xyy, Course Name, Blog URL
(3) Second Life SIG meeting: Fri 12:30-1:30p, SF651

※ Grading:
Class Participation (i.e. SLS Post 4 x 4%): 16% + Bonus
Team Project (i.e. Collaborated Notes + Case Study/Implementation): 30%
Individual Project (Oral+Written): 24%
Midterm: 30 %

※ 課程應注意事項: 除非有不可抗拒的原因, 本課程
1. 第一次上課遲到或未到, 未選課者請勿加選. 已選課者, 建議退選.
2. Lab與Project均必須依 Syllabus 的 Due Date 繳交或post, 不得延期.
3. Quiz 及考試無補考.
4. 放棄Grading配分中任一項 , 學期總成績以不及格計.
5. 點名無補點, 若出席未及點名次數之1/2, 則期末考扣考, 學期總成績以不及格計.

PS: 同學網路內容的發表請注意智慧財產權相關規定. 其它有關課程使用Social Learning Space (SLS), 課程活動(Google Calendar), 投影片下載, 上課錄影(YouTube), 3D虛擬世界系統(包括 Second Life), 社交網路應用 (包括Facebook)等網路應用上本課程相關群組/頻道/社群的使用, 課程參與(含共同筆記)的計分, 及一般課程及上課注意事項, 請詳閱 HW0: 輔大資工選修 Weco Lab課程使用 宅學習Social Learning Space (SLS)注意事項 (Spring-10).

共同筆記 2.0 「腦資訊學」 Topics (7 Topics):
1. 腦與神經系統
2. 腦記憶
3. 認知
4. 腦網路
5. 睡眠
6. 腦機介面(BCI)
7. Swarm/Collective Intelligence
共同筆記 2.0 「深網智慧」 Topics (7 Topics):
1. 社交網路
2. 推薦(Recommendation)
3. Data Mining
4. 分類(Classification)
5. 發現叢集(Discovering Group, Clustering)
6. Information Retrieval
8. Feature Extraction
Josh C. Bongard, How the Body Shapes the Way We Think: A New View of Intelligence, The MIT Press, 2006
Gerald M. Edelman, Wider Than the Sky: The Phenomenal Gift of Consciousness, Yale University Press, 2005
蔡承志譯,大腦比天空更遼闊:揭開大腦產生意識的謎底, 商周出版, 2009年, ISBN:9789866369575
Edward O. Wilson, On Human Nature: Revised Edition, Harvard University Press, 2004
鄭清榮譯, 論人性(1978版), 時報出版, 2002年, ISBN:9571329053
Toby Segaran, Programming Collective Intelligence: Building Smart Web 2.0 Applications, O'Reilly Media, Inc., 2007. http://kiwitobes.com/
Bing Liu, Web Data Mining - Exploring Hyperlinks, Contents and Usage Data, Springer, 2006
Robert Hanneman and Mark Riddle. 2005., Introduction to Social Network Methods, free download from the Internet, http://www.faculty.ucr.edu/~hanneman/
Software: UCINET, Pajek (both are free from the Internet)
John P. Scott, Social Network Analysis: A Handbook, Sage Publications Ltd, 2000
Date Course Content Video Link
2/24 Brain Informatics Introduction Link
3/3 Brain Anatomy and Function Link
3/10 Brain Network Link
3/17 Social Network Analysis Link
3/24 Memory Link
3/31 Data/Web/Social Mining Link
4/7 Off
4/14 Project Proposal Presentation Link
4/21 Midterm Exam
4/28 Swarm/Collective Intelligence Link
5/5 Brain Computer Interface Link
5/12 Sleep Link
5/19 Project Presentation Link
5/26 Project Presentation Link
6/2 Project Presentation Link
6/9 Project Presentation Link
6/16 Off (Dragon Boat Festival)
6/23