1. Information Modeling and Database System
Course Introduction

2. Classes 070125803 Information Modeling and Database System
I-MIT
Tuesday at 3A13

3. Course Description (I-MIT)
Data storage structure, data level, information modeling, concepts of database systems, database system architecture, database design and case studies, middleware, relational algebra and concept of Structured Query Language (SQL), query processing, transaction management, database integrity and security, database management should demonstrate their abilities to apply the knowledge to effectively solve database related problems. Students will also research published works in data modeling and database technology.

4. Course Objectives Students should:
Understand the main concepts of database technologies
Be able to design database and understand the application of normalization
Be aware of state-of-the-art database technologies
Be able to apply knowledge to effectively solve database related problems.

5. Timetable 1 17 Jan Lecture 1: Course Introduction - Lecture - Q & A 2
Lecture 2: Concepts of Database Systems and Architecture
- Group discussion 3
31 Jan
Lecture 3: Information Modeling 4
7 Feb
Lecture 4: Relational Model 5
14 Feb
Lecture 5: Database Design and Case Studies 6
21 Feb
Lecture 6: Data Storage Structure and SQL 7
28 Feb
No Lecture 8
7 March
Midterm Examination

6. Timetable 9 14 March Lecture 7: Query Processing - Lecture
- Group discussion 10
21 March
Lecture 8: Transaction Management 11
28 March
Lecture 9: Database Integrity, Security, and Management 12
4 April
Lecture 10: Distributed Database and Middleware 13
11 April
Songkran’s weekend (No lecture) 14
18 April
Paper report presentation
- Student presentation 15
25 April
Final Revision
- Q & A 16
2 May
Final Examination

7. Lecturer’s Profile Kanchana Viriyapant, PhD
PhD in Information Technology , 2017
IT,KMUTNB
Master of Information Technology, 2005
Bachelor of Science (Computer Science), 2000
University of The Thai Chamber of Commerce

8. Research Interests
PhD Topic: Scheduling Parameter Sweep Workflow in Cloud Environment
Upcoming project
Use real scientific workflow for scheduling algorithm
Workflows
Scientific / Cloud workflow
Cloud workflow scheduling
Data Mining/ Bioinformatics

9. Lecturer’s Contact Counseling Hour
Kanchana: 3A12 (third floor), Monday afternoon
Web page:
Lectures will be available here
Homework will post here
The project description will be here

10. Evaluation Midterm Examination 25% Final Examination 30%
Database Design Assignment 20%
Paper Report %

11. Database Design Assignment
Individual assignment
Detail to be announced, to be submitted before presentation
Mark distribution (20%)
Entity-relationship model 8%
Table mapping 7%
Normalization 5%

12. Paper Report Individual Assignment Select one of the following topics
Unstructured Database (XML Database)
NoSQL
Cloud Computing or etc.
Approximately
1,000 words
At least 8 reliable sources, properly cited and listed at the end of the paper

13. Paper Report Your report should at least cover
What it is and why should we use it?
Technologies involved
How does it fit in organization?
Pros & Cons
Wikipedia is a good place to start but not a good reference
To be submitted and presented in week 14 (April 18, 2017)
Mark distribution
Paper 20%
Presentation 5%

14. Plagiarism Matter What is plagiarism? Do NOT copy-paste
Penalty applies
Paraphrasing must be cited
Direct quotation must be put in quotation mark
Having more references cited is not bad

15. Referenced Materials
C. J. Date, “An Introduction to Database Systems”, 7th Ed.,
Addison-Wesley, 2000.
Abraham Silberschatz, Henry F. Korth, and S. Sudarshan, “Database System Concepts”, 6th Ed., McGraw-Hill, 2010.
Jeffrey A. Hoffer, V. Ramesh, Heikki Topi, “Modern Database Management”, 10th Ed., Pearson Education, 2011.
Student may use other books (or later editions) that cover the topics specified in this course.