Download Introduction to Data mining - O6U E

Database Management Systems
Dr. Mohamed Khafagy
Welcome to the course
Introduction to Data mining
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Personal Email:[email protected]
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Web Site www.mkhafagy.com
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Course mail:[email protected]
Description of Course
This course is an introduction to the
design and use of database systems and
understanding "relational model,”
 We cover relational design using the
entity-relationship model,
 Understanding Normalization
 SQL (Structured Query Language), the
standard query language for relational
databases, will
be
learned
and
experienced.
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Topics
1.
2.
3.
4.
5.
Basic Concepts
Data Models
Relational Databases
Normalization
SQL
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What are we doing ? What’s the reason
you’re here?
Objectives
1. Understand
the concept of database
system.
2. Understand the advantages of database
system over a file base system.
3. Design database system using ERD.
4. Understand and use SQL.
5. Develop a database system using a DBMS
(e.g. Oracle).
6. Understanding of Normalization
Course Methodology

The course will be taught through
lectures, with class participation expected
and encouraged. There will be frequent
reading assignments to supplement the
lectures. The workload will include both
written assignments and projects. Projects
will be primarily individual, and selfcontained.
Textbook
[1] Ramez Elmasri and Shamkant B. Navathe,
Fundamentals of Database Systems, 5th Edition,
2007, Addison-Wesley, ISBN 0-321-36957-2.
[2] C. J. Date, An Introduction to Database
Systems, 8th Edition, 2003, Addison-Wesley, ISBN 0321-19784-4.
[3] Thomas Connolly and Carolyn Begg, Database
Systems, 4th Edition, 2005, Pearson Education, ISBN
0-273-70413-3.
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There will also be supplemental readings assigned
during the semester.
Attendance

It is important to attend every class
session. Please notify me in advance if you
must miss a class either personally, or
through e-mail .

Three or more unexplained absences will
result in a lowering of the final grade.
Class Participation:

Class participation is an essential part of
this class.

Perfect attendance does not ensure a
good class participation grade.

Asked to present some material in class
and this will also factor into the class
participation grade.
Homework/Quizzes:
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Homework assignments are an important
part of the class, and should be completed
on time.
Late assignments will be penalized.
Homework assignments may take several
forms: problem sets, short write-ups of
supplemental readings, and in-class
presentations.
There may be several quizzes during the
semester to ensure that the readings are
completed on time.
Final Course Project
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In addition to homework assignments, there
will be an in-depth course project, due at the
end of the term.
This project can be done in group The
project will differ for each group, based on
their interests and ideas.
Each project must be approved by the
instructor.
The description and results of the project
must be written up in a report.
Grade
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Final Exam 80
Three or more unexplained absences -5
Mid Term 40
Projects 20/2
Two Quizzes
(2*10)/2
Homework/Assignments 20
Make up exam will be in Last session
Class participation bonus 5
Final Lab 40
Total
200

Exams May be open note / open book. To avoid a
disparity between resources available to different
students, electronic aids are not permitted.
point scale:
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10
8
6
4
2
0
Exceptional work.
This corresponds to an A grade.
This corresponds to a B grade.
This corresponds to a C grade.
Not really good enough, but something.
Missing work, or so bad.

Late work will be penalized 1 point per day (24
hour period). This penalty will apply except in case
of documented emergency (e.g., medical emergency),
or by prior arrangement if doing the work in advance
is impossible due to fault of the instructor
Academic Honesty

All work produce in this course should be
your own unless I specifically specify
otherwise.