CSCI 5333.4
DBMS
Spring 2012
by K. Yue
1. General Information
CSCI 5333.3 DBMS
Class number: 22943
Spring 2012
MW 4:00-5:20pm Delta 237
Instructor
Dr. Kwok-Bun Yue, Professor of Computer Science and Computer Information Systems
Delta 163, 281-283-3864, yue@uhcl.edu; URL: http://dcm.uhcl.edu/yue/
Office hour: MW 3-4, 5:20-6:00, walk-in and appointment.
Teaching Assistant
Vijender Palakala, Delta 119, 505-504-0640, palakalav0928@uhcl.edu;
Office hours:
Monday 1:00 - 4:00 p.m
Tuesday 5:00 - 6:45 p.m
Thursday 1:30 - 3:45 p.m
Laboratory Administrations.
Account and software problems may be addressed to the systems administrator, Ms. Krishani Abeysekera.
Other Useful Information
Textbooks
Elmasri, R., Navathe, S., Fundamentals of Database Systems Benjamin Cummings, Sixth Edition, 2010.
Course Description
From Catalog: Prerequisite: CSCI 4333. Data base management systems (DBMS), relational DBMS, object-oriented DBMS, knowledge base management system, data base language, query optimization, security and integrity, concurrency control and recovery, design theory of data bases. Laboratory instruction.
Course Outcomes
After completing the course, the students are expected to be able to perform the following:
Prerequisites
The following courses will be required:
The course use MySQL and PHP mostly in lectures and examples.
Course Format
Traditional lectures, homework and programming assignments.
2. Course Policies and Guidelines
2.1 General PoliciesTips:
2.2 Attendance
Students are expected to attend class regularly and actively participate in classroom discussions.
2.3 Academic Honesty
The UHCL Academic Honesty Policy will be strictly adhered to. The honesty code section state:
The Honesty Code is the university community's standard of honesty and is endorsed by all members of the University of Houston-Clear Lake academic community. It is an essential element of the University's academic credibility. It states:
I will be honest in all my academic activities and will not tolerate dishonesty.
Academic honesty is integral to university education. Students are advised to thoroughly understand UHCL academic honesty policy.
2.4 ASSESSMENT FOR ACCREDITATION:
The School of Science and Computer Engineering may use assessment tools in this course and other courses for curriculum evaluation. Educational assessment is defined as the systematic collection, interpretation, and use of information about student characteristics, educational environments, learning outcomes, and client satisfaction to improve program effectiveness, student performance, and professional success. This assessment will be related to the learning objectives for each course and individual student performance will be disaggregated relative to these objectives. This disaggregated analysis will not impact student grades, but will provide faculty with detailed information that will be used to improve courses, curriculum, and student performance.
3. Grading Policies
Grades will be assigned based solely on homework and examination scores. No other factors will be considered. In particular, students have requested me to reconsider their grades using the following reasons in the past: course participation; improvement during the semester; extra efforts; avoidance of probation; financial needs; scholarship needs; need to graduate; company relocation; immigration status needs; family needs; etc. These requests had all been declined politely but firmly.
There will also be no 'special project' that you can work on to improve your grades after the final examinations. Anything I offer to one student will be offered to the entire class.
Total score is computed using the following percentages:
Homework: 30%
Mid-Term Exam: 35%
Final Exam: 35%
Last day to drop without a grade penalty: February 1, 2012.
Grade Assignment Table
[90..100] | A |
[89..90) | A- |
[87..89) | B+ |
[83..87) | B |
[80..83) | B- |
[77..80) | C+ |
[73..77) | C |
[70..73) | C- |
[67..70) | D+ |
[63..67) | D |
[60..63) | D- |
[0..60) | F |
4. Course Syllabus and Schedule
The syllabus is very tentative. Actual contents to be covered will likely change.
Date |
Contents |
Week #1: 1/18 | Introduction and overview |
Week #2: 1/23, 1/25 |
Review of the relational model. Introduction to data modeling and database design |
Week #3: 1/30, 2/1 | Data modeling using UML |
Week #4: 2/6, 2/8 | UML modeling |
Week #5: 2/13, 2/15 |
Relational Algebra, and Relational Calculus |
Week #6: 2/20, 2/22 |
SQL DDL and DML Introduction to MySQL |
Week #7: 2/27, 2/29 | Embedded SQL |
Week #8: 3/5, 3/7 | Web database developing with MySQL and PHP 3/7 (Wednesday) Mid-term examination |
Week #9: 3/12, 3/14 | Spring break holiday |
Week #10: 3/19, 3/21 | SQL Programming |
Week #11: 3/26, 3/28 | Design principles of DB Systems |
Week #12: 4/2, 4/4 | Normalization theory I |
Week #13: 4/9, 4/11 | Normal forms Normalization theory II |
Week #14: 4/16, 4/18 | Higher Normal Forms |
Week #15: 4/23, 4/25 | Physical DB architecture and design Concurrent control and transaction management |
Week #16: 4/30, 5/2 | XML and databases Review |
Week #17: 5/9 | Final Examination 4:00-6:50pm |