ICS 624 Advance Data Management (Spring 2013 CRN 88542)
General Information
- Class Meets: Mon and Wed 3pm - 4:15 pm Room WAT 113
- Final Exam : None.
- Instructor : Lipyeow Lim
- Office Hours : Time TBA POST 303 E or by appointment 808-956-3495
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No Textbooks are required for this course. Readings will be drawn from a range
of papers published in top data management conferences. Students without any
background in data management should consider reading (parts of) the following
two references:
- Student Learning Outcomes: At the end of this class, the successful
student would
- have gained a broad understanding of the research issues in a range of
data management topics including
Big Data, Data warehousing, Parallel databases, Map-reduce
Query optimization, IR and Web Search, Computer Games, Streaming
systems, XML Data, Graph Data and ontologies, Data Integration, Data Mining,
Energy Efficiency.
- have gained the skill of reading and critiquing research papers
- have gained the skill of performing basic research in a course project
- Late policy: work submitted past due date and time will receive zero credits.
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All students are expected to conduct themselves above and beyond the standards set forth in the University of Hawaii Systemwide Student Conduct Code.
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Any student who feels s/he may need an accommodation based on the impact of a
disability is invited to contact the instructor privately. The instructor would
be happy to work with you, and the KOKUA Program (Office for Students with
Disabilities) to ensure reasonable accommodations in the course. KOKUA can be
reached at (808) 956-7511 or (808) 956-7612 (voice/text) in room 013 of the
Queen Lili'uokalani Center for Student Services.
Topics
- Big Data, Parallel databases and Map-reduce
- Data warehousing, data mining and data analytics
- Mobile Data Management and Energy Efficiency
- Query optimization
- IR and Web Search
- Streaming systems
- Graph Data and ontologies
- Data Integration
This is a seminar-format course and readings will be drawn from recent articles published in the following conferences/journal: SIGMOD, VLDB, ICDE, EDBT, CIKM, WWW, SIGIR, Mobisys, MDM.
Grading (Tentative)
- 20 % Class Participation (Discussion Leader duties)
- 20 % Homework (Paper Reviews)
- 60 % Research Project
Class Schedule (tentative)
Paper reviews are due in Laulima->Discussions BEFORE the class which discusses the paper. Each student is expected to lead discussions at least three times during the semester.
Week |
Date |
Topic |
Readings |
Remarks
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Readings and links
Useful Links
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Info on LaTeX. Windows users should install MikTex. Linux users should install latex (usually tetex) using their respective software package managers. Mac users should use MacTex.
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If you need to typeset algorithms in LaTeX, please use one of the algorithms latex package (see wikibook) to typeset pseudocode (algorithmic.sty is recommended).
- If you need to draw diagrams for inclusion in your homework, use a
diagramming software and export to eps or pdf format and include it in your
latex source using the includegraphics command.
Dia is a good open-source diagramming tool that runs on most platform. If you are using X windows in cygwin or unix or mac, xfig is also a very good diagramming tool.
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Online Latex Authoring tool
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Screencast-o-matic Free Screencast software for creating recorded presentations.
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UHM Spring 2013 Academic Calender