Differences

This shows you the differences between two versions of the page.

teaching:csci5510:2013 [2013/09/02 17:08]
gling
teaching:csci5510:2013 [2013/09/03 16:47] (current)
gling
Line 2: Line 2:
==== Breaking News ==== ==== Breaking News ====
 +  * <hi red>**September 3, 2013**.</hi> The course homepage is migrated to https://www.cse.cuhk.edu.hk/csci5510/wiki/ permanently.
  * <hi #ffff00>**September 2, 2013**.</hi> The new semester begins.   * <hi #ffff00>**September 2, 2013**.</hi> The new semester begins.
  * <hi #ffff00>**September 2, 2013**.</hi> News group address: cuhk.cse.csci5510   * <hi #ffff00>**September 2, 2013**.</hi> News group address: cuhk.cse.csci5510
  * <hi yellow>**September 2, 2013**.</hi> The first tutorial will be conducted on Sept. 10. There is <hi yellow>no</hi> tutorial in the first week.   * <hi yellow>**September 2, 2013**.</hi> The first tutorial will be conducted on Sept. 10. There is <hi yellow>no</hi> tutorial in the first week.
 +  * <hi yellow>**September 3, 2013**.</hi> The tutorial class room is YIA LT7.
===== 20013-14 Term 1 ===== ===== 20013-14 Term 1 =====
Line 12: Line 13:
|  ^  Lecture  ^   Tutorial   ^ |  ^  Lecture  ^   Tutorial   ^
^ Time    |  M2-4, 9:30 am - 12:30 pm  |   T3 10:30 am - 11:15 am  | ^ Time    |  M2-4, 9:30 am - 12:30 pm  |   T3 10:30 am - 11:15 am  |
-^ Venue    |  KKB101  |   TBA |+^ Venue    |  KKB101  |   YIA LT7 | 
 + 
 +<html><font color=red><b>The Golden Rule of CSCI5510:</b></font></html> No member of the CSCI5510 community shall take unfair advantage of any other member of the CSCI5510 community.
-<hi red>**The Golden Rule of CSCI5510:** </hi> No member of the CSCI5510 community shall take unfair advantage of any other member of the CSCI5510 community. 
====== Course Description ====== ====== Course Description ======
This course aims at teaching students the state-of-the-art big data analytics, including techniques, software, applications, and perspectives with massive data.  The class will cover, but not be limited to, the following topics: distributed file systems such as Google File System, Hadoop Distributed File System, CloudStore, and map-reduce technology; similarity search techniques for big data such as minhash, locality-sensitive hashing; specialized processing and algorithms for data streams; big data search and query technology; big graph analysis; recommendation systems for Web applications.  The applications may involve business applications such as online marketing, computational advertising, location-based services, social networks, recommender systems, healthcare services, also covered are scientific and astrophysics applications such as environmental sensor applications, nebula search and query, etc. This course aims at teaching students the state-of-the-art big data analytics, including techniques, software, applications, and perspectives with massive data.  The class will cover, but not be limited to, the following topics: distributed file systems such as Google File System, Hadoop Distributed File System, CloudStore, and map-reduce technology; similarity search techniques for big data such as minhash, locality-sensitive hashing; specialized processing and algorithms for data streams; big data search and query technology; big graph analysis; recommendation systems for Web applications.  The applications may involve business applications such as online marketing, computational advertising, location-based services, social networks, recommender systems, healthcare services, also covered are scientific and astrophysics applications such as environmental sensor applications, nebula search and query, etc.
 
teaching/csci5510/2013.1378112908.txt.gz · Last modified: 2013/09/02 17:08 by gling     Back to top