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CSCI5733 Social Computing
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Breaking News
- September 2, 2013. The new semester begins.
Extra Credit Assignments
20013-14 Term 1
| Lecture I | |
|---|---|
| Time | Monday, 7:00 pm - 10:00 pm |
| Venue | HKPC 1007 |
The Golden Rule of CSCI5733: No member of the CSCI5733 community shall take unfair advantage of any other member of the CSCI5733 community.
Course Description
This course introduces fundamental as well as applied computational techniques for collaborative and collective intelligence of group behaviours on the Internet. The course topics include, but are not limited to: web intelligence, web data mining, knowledge discovery on the web, web analytics, web information retrieval, learning to rank, ranking algorithms, relevance feedback, collaborative filtering, recommender systems, human/social computation, social games, opinion mining, sentiment analysis, models and theories about social networks, large graph and link-based algorithms, social marketing, monetization of the web, security/privacy issues related to web intelligence and social computing, etc.
Learning Objectives
Learning Outcomes
Learning Activities
- Lectures
- Tutorials
- Web resources
- Videos
- Quizzes
- Examinations
Personnel
| Lecturer | Tutor | Tutor | |
|---|---|---|---|
| Name | Irwin King | Baichuan Li | Yuanyuan Man |
| king AT cse.cuhk.edu.hk | bcli AT cse.cuhk.edu.hk | sophiaqhsw AT gmail.com | |
| Office | Rm 908 | ||
| Telephone | 3943 8398 | ||
| Office Hour(s) | * M8, Monday 3:30 pm - 4:30 pm * T8, Tuesday 3:30 pm - 4:30 pm |
Note: This class will be taught in English. Homework assignments and examinations will be conducted in English.
Syllabus
The pdf files are created in Acrobat 6.0. Please obtain the correct version of the Acrobat Reader from Adobe.
| Week | Date | Topics | Tutorials | Homework & Events | Resources |
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- Web 2.0
- Ajax, CSS,
- Social Media
- blogs, microblogs, wikis, mashup,
Class Project
Class Project Presentation Schedule
- TBA
Class Project Presentation Requirements
Examination Matters
Examination Schedule
| Time | Venue | Notes | |
|---|---|---|---|
| Midterm Examination TBA | TBA | TBA | TBA |
| Midterm Examination TBA | TBA | TBA | TBA |
| Final Examination | TBA | TBA | TBA |
Written Midterm Matters
- The midterm will test your knowledge of the materials.
- Answer all questions using the answer booklet. There will be more available at the venue if needed.
- Write legibly. Anything we cannot decipher will be considered incorrect.
- One A4-sized cheat-sheet page.
Grade Assessment Scheme
| Homework Assignments | Project Report | Project Presentation | Final Examination |
|---|---|---|---|
| TBA | TBA | TBA | TBA |
- Assignments (TBA)
- Written assignments
- Optional quizzes
- Midterm Examination (TBA)
- Project (TBA)
- Report (TBA)
- Presentations (TBA)
- Extra Credit (There is no penalty for not doing the extra credit problems. Extra credit will only help you in borderline cases.)
Required Background
- Pre-requisites
- - CSC 1110 or 1130 or its equivalent. (Not for students who have taken CSC 2520).
Reference Books
FAQ
- Q: What is departmental guideline for plagiarism?
A: If a student is found plagiarizing, his/her case will be reported to the Department Discipline Committee. If the case is proven after deliberation, the student will automatically fail the course in which he/she committed plagiarism. The definition of plagiarism includes copying of the whole or parts of written assignments, programming exercises, reports, quiz papers, mid-term examinations. The penalty will apply to both the one who copies the work and the one whose work is being copied, unless the latter can prove his/her work has been copied unwittingly. Furthermore, inclusion of others' works or results without citation in assignments and reports is also regarded as plagiarism with similar penalty to the offender. A student caught plagiarizing during tests or examinations will be reported to the Faculty Office and appropriate disciplinary authorities for further action, in addition to failing the course.
