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teaching:csci5510:2013 [2013/09/02 11:41] gling |
teaching:csci5510:2013 [2013/09/03 16:47] (current) gling |
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| ==== 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 3, 2013**.</hi> The tutorial class room is YIA LT7. | ||
| ===== 20013-14 Term 1 ===== | ===== 20013-14 Term 1 ===== | ||
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| | ^ 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. | ||
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| ^ Email | king AT cse.cuhk.edu.hk | lyu AT cse.cuhk.edu.hk | gling AT cse.cuhk.edu.hk | ccheng AT cse.cuhk.edu.hk | | ^ Email | king AT cse.cuhk.edu.hk | lyu AT cse.cuhk.edu.hk | gling AT cse.cuhk.edu.hk | ccheng AT cse.cuhk.edu.hk | | ||
| ^ Office | Rm 908 | Rm 927 | Rm 1024 | Rm 1024 | | ^ Office | Rm 908 | Rm 927 | Rm 1024 | Rm 1024 | | ||
| - | ^ Telephone | 3943 8398 | 3943 8429 | | | | + | ^ Telephone | 3943 8398 | 3943 8429 | 3943 4252 | 3943 4252 | |
| ^ Office Hour(s) | TBA | 10:00-12:00 Tuesday | TBA | TBA | | ^ Office Hour(s) | TBA | 10:00-12:00 Tuesday | TBA | TBA | | ||
| - | Note: This class will be taught in <hi red>English</hi>. Homework assignments and examinations will be conducted in English. | + | Note: This class will be taught in <html><font color=red>English</font></html>. Homework assignments and examinations will be conducted in <html><font color=red>English</font></html>. |
| ====== Syllabus ====== | ====== Syllabus ====== | ||
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| ^ Week ^ Date ^ Topics ^ Tutorials ^ Homework & Events ^ Resources ^ | ^ Week ^ Date ^ Topics ^ Tutorials ^ Homework & Events ^ Resources ^ | ||
| - | | 1 | 2/9 | Introduction and Motivation \\ \\ | | | [[http://infolab.stanford.edu/~ullman/mmds/ch1.pdf|Ch. 1 of MMDS]] | | + | | 1 | 2/9 | Introduction and Motivation \\ \\ {{:teaching:csci5510:01.pptx|}} | No Tutorial | | [[http://infolab.stanford.edu/~ullman/mmds/ch1.pdf|Ch. 1 of MMDS]] | |
| | 2 | 9/9 | MapReduce\\ \\ [[|02-MapReduce.pdf]] | \\ \\ | \\ \\ | [[http://infolab.stanford.edu/~ullman/mmds/ch2.pdf|Ch. 2 of MMDS]] \\ [[http://infolab.stanford.edu/~ullman/mmds/ch6.pdf|Ch. 6 of MMDS]] | | | 2 | 9/9 | MapReduce\\ \\ [[|02-MapReduce.pdf]] | \\ \\ | \\ \\ | [[http://infolab.stanford.edu/~ullman/mmds/ch2.pdf|Ch. 2 of MMDS]] \\ [[http://infolab.stanford.edu/~ullman/mmds/ch6.pdf|Ch. 6 of MMDS]] | | ||
| | 3 | 16/9 | Locality Sensitive Hashing\\ \\ [[|03-lsh.pdf]] | \\ \\ | | [[http://infolab.stanford.edu/~ullman/mmds/ch3.pdf|Ch. 3 of MMDS]] | | | 3 | 16/9 | Locality Sensitive Hashing\\ \\ [[|03-lsh.pdf]] | \\ \\ | | [[http://infolab.stanford.edu/~ullman/mmds/ch3.pdf|Ch. 3 of MMDS]] | | ||
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| | 5 | 30/9 | Scalable Clustering \\ \\ [[|05-clustering.pdf]] | | | [[http://infolab.stanford.edu/~ullman/mmds/ch7.pdf|Ch. 7 of MMDS]] | | | 5 | 30/9 | Scalable Clustering \\ \\ [[|05-clustering.pdf]] | | | [[http://infolab.stanford.edu/~ullman/mmds/ch7.pdf|Ch. 7 of MMDS]] | | ||
| | 6 | 7/10 | Dimensionality Reduction \\ \\ [[|06-DR.pdf]] | | | [[http://infolab.stanford.edu/~ullman/mmds/ch11.pdf|Ch. 11 of MMDS]] | | | 6 | 7/10 | Dimensionality Reduction \\ \\ [[|06-DR.pdf]] | | | [[http://infolab.stanford.edu/~ullman/mmds/ch11.pdf|Ch. 11 of MMDS]] | | ||
| - | | 7 | 14/10 | Public Holiday | Public Holiday | | | | + | | 7 | 14/10 | Public Holiday | | | | |
| | 8 | 21/10 | Recommender systems/Matrix Factorization \\ \\ [[|07-mf.pdf]] | | | [[http://infolab.stanford.edu/~ullman/mmds/ch9.pdf|Ch. 9 of MMDS]] | | | 8 | 21/10 | Recommender systems/Matrix Factorization \\ \\ [[|07-mf.pdf]] | | | [[http://infolab.stanford.edu/~ullman/mmds/ch9.pdf|Ch. 9 of MMDS]] | | ||
| | 9 | 28/10 | Massive Link Analysis \\ \\ [[|08-link.pdf]] | | | [[http://infolab.stanford.edu/~ullman/mmds/ch5.pdf|Ch. 5 of MMDS]] | | | 9 | 28/10 | Massive Link Analysis \\ \\ [[|08-link.pdf]] | | | [[http://infolab.stanford.edu/~ullman/mmds/ch5.pdf|Ch. 5 of MMDS]] | | ||
