CSE5334 Data Mining
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Transcript CSE5334 Data Mining
CSE3330
DATABASE SYSTEMS - I
CSE3330 DB I, Spring 2014
Lecture 1: Introduction
Department of Computer Science and Engineering, University of Texas at Arlington
©Chengkai Li, 2014
Self Introduction
Chengkai Li
http://ranger.uta.edu/~cli
Research interests:
big data management and mining
Courses that I teach:
CSE3330 DBI (Spring14,13,12,11)
CSE4334/5334 Data Mining (Fall13,12,11,10,09,08)
CSE6339
Crowdsourcing, Knowledge Graph, Computational Journalism (Spring14)
Grape Data Management and Mining (Spring13)
Computational Journalism (Spring12)
Web Search, Mining, and Integration (Spring11,10,09,08)
CSE3302 Programming Languages (Spring08, Fall07)
Looking for students: REU (Research Experiences for Undergraduates) Scholarship
Lecture 1: Introduction
CSE3330 DB I, Spring 2014
UT-Arlington © Chengkai Li, 2014
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Background Check
Prerequisite:
CSE 2320 ALGORITHMS & DATA STRUCTURES
or
CSE 2321 DATA STRUCTURES FOR NON-ENGINEERS
Lecture 1: Introduction
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Course Page
http://crystal.uta.edu/~cli/cse3330
Syllabus, Schedule (lecture notes).
Course announcements will be made at BlackBoard.
http://www.uta.edu/blackboard/
Lecture 1: Introduction
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Basics
Lectures: Tue/Thu 3:30-4:50am, ERB130
Office Hours: Friday 2:00-4:00pm, ERB628
Contact: cli [at] uta [dot] edu, (817) 272-0162
TA: TBA
Lecture 1: Introduction
CSE3330 DB I, Spring 2014
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Textbook
Required Textbook:
Ramez Elmasri and Shamkant Navathe. Fundamentals of Database Systems (6th
Edition), Addison-Wesley Publishers, April 2010. ISBN 0136086209.
Reference Textbook:
Abraham Silberschatz, Henry Korth, and S. Sudarshan, Database System
Concepts, McGraw-Hill Publishers, 2010. ISBN 0073523321.
Hector Garcia-Molina, Jeffrey D. Ullman and Jennifer Widom, Database
Systems: The Complete Book (2nd Edition), Prentice Hall. 2008. ISBN
0131873253.
Raghu Ramakrishnan and Johannes Gehrke, Database Management Systems
(3rd Edition), McGraw-Hill Publishers, 2002. ISBN 0072465638.
Lecture 1: Introduction
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Disclaimer: the slides
The slides highlight the gist of the most important concepts and techniques.
But
It is not meant to be complete. Details may not be included.
It may be simplified for ease of explanation in limited time and space.
You may not do well in the course if you just read the slides.
You need to read the book and study the slides carefully.
Lecture 1: Introduction
CSE3330 DB I, Spring 2014
UT-Arlington © Chengkai Li, 2014
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Tentative Grading Scheme
Midterm
Final
Homework (HW)
20%
(Must be done independently)
Course Project
30%
(Must be done independently)
20%
30%
Final Letter Grade:
No pre-defined cutoffs. Will be based on the curve of students’
performance.
Lecture 1: Introduction
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Homework (HW)
Problem solving
Focus on most important topics
HW1,HW2, HW3, HW4, 5% each
Lecture 1: Introduction
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Projects (P1-P3)
3 Programming Assignments, 10% each
More
hands-on experience
Mostly implementation
Lecture 1: Introduction
CSE3330 DB I, Spring 2014
UT-Arlington © Chengkai Li, 2014
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Exams
Midterm:
Thursday, March 6th, 3:30pm-4:50pm, ERB130
Final: (comprehensive, covers the whole semester)
Thursday, May 8th, 2:00pm-4:30pm, ERB130
Lecture 1: Introduction
CSE3330 DB I, Spring 2014
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BlackBoard
http://www.uta.edu/blackboard/
Announcement
Student assignment submission (we don’t accept
email submission or hard-copy)
HW1-HW4
P1-P3
Grades
Questions, Discussion
Lecture 1: Introduction
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Deadlines
Everything will be submitted through BlackBoard.
What if Blackboard experiences technical failure?
Email your assignment to us
Also email a screenshot displaying the technical failure
We will verify with the University about the failure.
Due time: 11:59pm
Late submission: 5-point deduction per hour, till you get 0. (The raw score of
each assignment is 100. So there is no point to submit it after 20 hours).
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Regrading
7 days after we post scores in BlackBoard. TA will
handle regrade requests. Won’t consider it after 7
days.
If not satisfied with the results, 7 days to request
again. Instructor will handle it, and the decision is
final.
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Topics
Database System Concepts and Architecture
Entity-Relationship Model
Relational Model
Database Design
Relational Algebra
SQL
Indexing
Overview of Database and Data Mining Research
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Schedule
http://crystal.uta.edu/~cli/cse3330
Lecture 1: Introduction
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Your Email
Make sure your MavMail works. We will only
contact you by your MavMail.
Check it on a regular basis.
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Get bored?
Do you watch Youtube?
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http://www.youtube.com/watch?v=gC2ew6qLa8U
http://www.youtube.com/watch?v=463gKcXDVzQ
Don’t do it. It’s not worth it.
We are very serious about this.
read & sign the statement
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Academic Dishonesty
Cheating on an examination includes:
1.Copying from another's paper, any means of communication with another during
an examination, giving aid to or receiving aid from another during an examination;
2.Using any material during an examination that is unauthorized by the proctor;
3.Taking or attempting to take an examination for another student or allowing
another student to take or attempt to take an examination for oneself.
4.Using, obtaining, or attempting to obtain by any means the whole or any part of
a not-yet-administered examination.
Plagiarism is the unacknowledged incorporation of another's work into work which
the student offers for credit.
Collusion is the unauthorized collaboration of another in preparing work that a
student offers for credit.
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University Policy
http://www.uta.edu/conduct/faculty/suspecteddishonesty.php
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