1. CSE3330/5330 DATABASE SYSTEMS AND FILE STRUCTURES (DB I) CSE3330/5330 DB I, Summer2012 Department of Computer Science and Engineering, University of Texas at Arlington ©Ning Yan, 2012 Lecture 1: Introduction

2. Self Introduction  Ning Yan Http://idir.uta.edu/~nyan/  Research interests: databases, Web data management, data mining, information retrieval  Courses that I TAed:  CSE1310 (C programming)  CSE5301 (Data Modeling)  CSE5334 (Data Mining)  CSE6339 (Data Exploration) Lecture 1: Introduction 2

3. Background Check  Prerequisite: CSE 2320 ALGORITHMS & DATA STRUCTURES or CSE 2321 DATA STRUCTURES FOR NON-ENGINEERS Lecture 1: Introduction 3

4. Course Homepage  http://idir.uta.edu/~nyan/cse3330 http://idir.uta.edu/~nyan/cse3330  Announcements,  Syllabus  Schedule (lecture notes)  Resources  Accommodation based on disability. Lecture 1: Introduction 4

5. Basics  Lectures: Tue/Thu 3:30-5:20pm, NH110  Office Hours: Wednesday 3:00-5:00pm ERB514  Contact: ning.yan [at] mavs [dot] uta [dot] edu, (682) 227- 9412  TA: ? Lecture 1: Introduction 5

6. Textbook  Required Textbook: Ramez Elmasri and Shamkant Navathe. Fundamentals of Database Systems (6th Edition), Addison-Wesley Publishers, April 2010. ISBN 0136086209.Fundamentals of Database Systems (6th Edition)  Reference Textbook:  Abraham Silberschatz, Henry Korth, and S. Sudarshan, Database System Concepts, McGraw-Hill Publishers, 2010. ISBN 0073523321.Database System Concepts  Hector Garcia-Molina, Jeffrey D. Ullman and Jennifer Widom, Database Systems: The Complete Book (2nd Edition), Prentice Hall. 2008. ISBN 0131873253. Database Systems: The Complete Book (2nd Edition)  Raghu Ramakrishnan and Johannes Gehrke, Database Management Systems (3rd Edition), McGraw-Hill Publishers, 2002. ISBN 0072465638.Database Management Systems 6

7. 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 7

8. Tentative Grading Scheme  Midterm 20%  Final 30%  Homework (HW) 30% (Must be done independently)  Course Project 20% (Must be done independently)  Final Letter Grade:  No pre-defined cutoffs. Will be based on bell curve of your performance. Lecture 1: Introduction 8

9. Homework (HW) – 30%  Problem solving  Focus on most important topics  HW1,HW2, HW3, 10% each Lecture 1: Introduction 9

10. Projects (P1-P2) – 20%  2 Programming Assignments, 10% each  More hands-on experience  Mostly implementation Lecture 1: Introduction 10

11. Exams – 50%  Midterm: (20%) Tuesday, July 10th, 3:30pm-5:20pm, NH110  Final: (30%) (comprehensive, covers the whole semester) Tuesday, August 14th, 3:30pm-5:20pm, NH110 Do mark your calendar! Lecture 1: Introduction 11

12. BlackBoard  http://www.uta.edu/blackboard/  Student assignment submission (we don’t accept email submission or hard-copy)  HW1-HW3  P1-P2  Grades Lecture 1: Introduction 12

13. Deadlines  Everything will be submitted through BlackBoard.  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). Lecture 1: Introduction 13

14. 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. Lecture 1: Introduction 14

15. Topics Lecture 1: Introduction 15

16. Topics  -------------------10 lectures--------------------  Database System Concepts and Architecture (2)  Relational Model (2)  Basic SQL & More SQL (6)  --------------------10 lectures- -----------------  Entity-Relationship Model (ER, EER) (2)  Relational Database Design (2)  Database Programming (2)  File Structures and Indexing (2)  (Relational Algebra & Normalization) (2) Lecture 1: Introduction 16

17. Check Your Email  Make sure your MavMail works. We will only contact you by your MavMail.  Check it on a regular basis. Lecture 1: Introduction 17

18. Setup MySQL  We will use MySQL throughout this course  Set up MySQL  Use omega.uta.edu with NetID/Initial Passwd  Install MySQL on your own laptop  Read introduction to MySQL  Practice SQL in/after class Lecture 1: Introduction 18

19. Statement on Ethics  Please sign and date. Lecture 1: Introduction 19

20. Discuss  The reason you take this course?  What you expect to learn?  What I expect … Lecture 1: Introduction 20