1. CSE202 Database Management Systems
Lecture 0
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Prepared & Presented by Asst. Prof. Dr. Samsun M. BAŞARICI

2. Organizational Issues
About this Course
Course Title
Course Code
Semester
Course Hour/Week
ADU Credit
ECTS
Introduction to Computer Applications
CSE 202
Spring
Theory 2
Practice 3 4
Course Type
1. Compulsory Courses
1.1. Programme Compulsory Courses X
1.2. University Compulsory Courses (UFND)
1.3. YÖK (Higher Education Council) Compulsory Courses
2. Elective Courses
2.1. Program Elective Courses
2.2. University Elective Courses
3. Prerequisites Courses
3.1. Compulsory Prerequisites Courses
3.2. Elective Prerequisites Courses
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3. About this Course (Cont.)
Language of Instruction
English
Level of Course
Associate Degree (Short Cycle)
Undergraduate (First Cycle)
Graduate (Second Cycle)
Doctoral Course (Third Cycle)
Special Pre-Conditions of the Course (compulsory)
 None
Special Pre-Conditions of the Course
(recommended)
Course Instructor(s)
Dr. Samsun M. Başarıcı
Mail:
Web:
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4. Main Objective(s) of this Course
To provide the basis for data handling and management
To make students able to apply data management and storage optimization techniques to a given problem
Write queries to manipulate data
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5. Learning Outcomes of this Course
Upon successful completion of this course, students will
Know the main concepts of data and databases
Understand the difference between data and information
Understand the fundamentals of relational, object-oriented, and distributed database systems including: data models, database architectures, and database manipulations
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6. Learning Outcomes of this Course (Cont.)
Understand the theories and techniques in developing database applications and be able to demonstrate the ability to build databases using enterprise DBMS products such as Oracle or SQL Server
Be familiar with managing database systems
Understand new developments and trends in databases
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7. Organizational Issues
Course Content
General information about databases and database users
Database system concepts and architecture
SQL and SQL programming techniques
Relational algebra, relational calculus and entity-relationship (ER) model
Object and object-relational databases
UML and XML
Functional dependencies and normalization for relational databases
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8. Organizational Issues
Course Content (Cont.)
Relational database design algorithms
Disk storage, file structures, hashing and indexing structures for files
Query processing and optimization
Database security & database recovery techniques
Distributed databases
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9. Organizational Issues
Resources
Required Course Material (s) /Reading(s)/Text Book (s)
1) Ramez Elmasri, Shamkant Navathe; “Fundamentals of Database Systems”, 6th Ed., Pearson, 2014.
2) Mark L. Gillenson; “Fundamentals of Database Management Systems”, 2nd Ed., John Wiley, 2012.
3) Lecture Notes
Recommended Course Material (s)/Reading(s)/Other
Other sources will be announced
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10. Course Schedule (Weekly)
Topics
Preliminary Preparation
Methodology and Implementation (theory, practice, assignment etc) 1
Introduction; Data, database systems and concepts
Elmasri Ch. 1-2, Gillenson Ch. 1
Theory, case studies 2
Data modeling, relational data model, relational database model, relational calculus & algebra
Elmasri Ch. 3 & 6, Gillenson Ch. 2-3 & 5-6
Theory, practice, quiz 3
SQL
Elmasri Ch. 4-5, Gillenson Ch. 4
Theory, practice, case studies 4
ER Model
Elmasri Ch. 7
Theory, assignment 5
ER Model (cont.) 6
Database design methodology & UML
Elmasri Ch. 10, Gillenson Ch. 7-8
Theory, practice, assignment 7
MIDTERM EXAM
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11. Course Schedule (Weekly) (Cont.)
Topics
Preliminary Preparation
Methodology and Implementation (theory, practice, assignment etc) 8
Object & object-relational databases
Elmasri Ch. 11, Gillenson Ch. 9
Theory, practice, case studies, quiz 9
XML, introduction to SQL programming
Elmasri Ch
Theory, practice 10
Dependencies, normalization for relational databases & relational database design
Elmasri Ch
Theory, practice, assignment, quiz 11
Disk storage, file structures, hashing and indexing
Elmasri Ch , Gillenson Ch. 8 & 10 12
Query processing & optimization
Elmasri Ch. 19 13
Database administration, recovery, security, backup & concurrency
Elmasri Ch , Gillenson Ch
Theory, practice, case studies, assignment 14
Database administration, recovery, security, backup & concurrency (cont.) 15
Distributed databases
Elmasri Ch. 25, Gillenson Ch
Theory, case studies 16
FINAL EXAM
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12. Assessment (tentative)
Semester Activities/ Studies
NUMBER
WEIGHT in %
Mid- Term 1 20
Attendance -
Quiz 5
Assignment (s) 4
Project
Laboratory
Field Studies (Technical Visits)
Presentation/ Seminar
Practice (Laboratory, Virtual Court, Studio Studies etc.)
Other (Placement/Internship etc.)
TOTAL 60
Contribution of Semester Activities/Studies to the Final Grade
Contribution of Final Examination/Final Project/ Dissertation to the Final Grade  1 40
100
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13. Organizational Issues
Assessment (Cont.)
Final Grades will be determined according to the Adnan Menderes University Associate Degree, Bachelor Degree and Graduate Degree Education and Examination Regulation
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14. Responsibilities of the Students
Obtaining the text book(s)
Coming to the course with a good preparation
Completing the exercises with individual efforts unless told otherwise
Following the rules set by the responsibles for the course and the implementation/lab. studies
HONESTY !!!
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15. Organizational Issues
Plagiarism
Plagiarism will not be tolerated
Projects without references: a penalty of 20%
Submitting your own work that has been earlier submitted to satisfy the requirements of another course is (self)-plagiarism (also called double dipping)
Copying a journal article or a section of a book or code from an article or book and submitting it as your own is plagiarism
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16. Organizational Issues
Plagiarism
Using significant ideas from someone else, but putting them in to your own words and not acknowledging the source of the ideas is plagiarism
Copying an essay, code, work etc. from another student and submitting it as your own is plagiarism
And PLAGIARISM is THEFT
So don’t steal (Nobody likes thieves)
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