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Course Table in .NET Creator PDF 417 in .NET Course Table




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Table 2.3. Course Table using barcode generation for none control to generate, create none image in none applications. Visual Studio .NET Introduction classroom schedule enrollment faculty id course id course CSC-131A CSC- 131B CSC-131C CSC-131D CSC-131E CSC-131I CSC-132A CSC-132B CSC-230 CSC-232A CSC-232B CSC-233A CSC-233B CSC-234A CSC-234B CSC-242 CSC-320 CSC-331 CSC-333A CSC-333B CSC-335 CSC-432 CSC-439 CSE-138A CSE-138B CSE-330 CSE-332 CSE-334 CSE-430 CSE-432 CSE-433 CSE-434 CSE-436 CSE-437 CSE-438 CSE-439. Computers in none none Society Computers in Society Computers in Society Computers in Society Computers in Society Computers in Society Introduction to Programming Introduction to Programming Algorithms & Structures Programming I Programming I Introduction to Algorithms Introduction to Algorithms Data Structure & Algorithms Data Structure & Algorithms Programming II Object Oriented Programming Applications Programming Computer Arch & Algorithms Computer Arch & Algorithm Internet Programming Discrete Algorithms Database Systems Introduction to CSE Introduction to CSE Digital Logic Circuits Foundations of Semiconductors Elec. Measurement & Design Bioinformatics in Computer Analog Circuits Design Digital Signal Processing Advanced Electronics Systems Automatic Control and Design Operating Systems Advd Logic & Microprocessor Special Topics in CSE. 2.3 Sample Database Table 2.4. Student Table student id name A78835 A97850 B92996 H10210 J77896 Andrew Woods Ashly Jade Blue Valley Holes Smith Erica Johnson gpa credits major 3.26 3.57 3.

5 none for none 2 3.87 3.95 108 116 102 78 127 Computer Science Information System Engineering Computer Science Computer Engineering Computer Science.

schoolYear email Senior Junior none none Senior Sophomore Senior awoods@college.edu ajade@college.edu bvalley@college.

edu hsmith@college.edu ejohnson@college.edu.

in the tables be represented correctly. To achieve this goal, designers use various tools. The most commonly used tool is the entity-relationship (ER) model.

A wellplanned model will give consistent results and allow changes if needed later on. The following section further elaborates on the ER model..

2.3.2 Entity-Relationship (ER) Model The ER model was rst proposed and developed by Peter Chen in 1976. Since then, Charles Bachman and James Martin have added some re nements. The model was designed to communicate the database design in the form of a conceptual schema.

The ER model is based on the perception that the real world is made up of entities, their attributes, and relationships. The model is graphically depicted in. Table 2.5. StudentCourse Table s course id 1000 1001 100 none for none 2 1003 1004 1005 1006 1007 1008 1009 10010 10011 10012 10013 10014 10015 10016 10017 10018 10019 10020 10021 10022 10023 10024 10025 10026 10027 10028. student id H10210 B92996 none for none J77896 A78835 H10210 J77896 B92996 A78835 A78835 A78835 J77896 H10210 H10210 A78835 A78835 J77896 A97850 A97850 A97850 A97850 J77896 B92996 A78835 B92996 J77896 H10210 H10210 B92996 B92996. course id CSC-131D CSC- none none 132A CSC-335 CSC-331 CSC-234B CSC-234A CSC-233A CSC-132A CSE-432 CSE-434 CSC-439 CSC-132A CSC-331 CSC-335 CSE-438 CSC-432 CSC-132B CSC-234A CSC-331 CSC-335 CSE-439 CSC-230 CSE-332 CSE-430 CSC-333A CSE-433 CSE-334 CSC-131C CSC-439. credit 3 3 3 3 3 3 3 none none 3 3 3 3 3 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3. major CE CS/IS CS/I none none S CE CE CS/IS CS/IS CE CE CE CS/IS CE CE CE CE CS/IS ISE ISE ISE ISE CS/IS CSIS CE CE CS/IS CE CE CS/IS CS/IS. Introduction to Databases Database Table ID 1000 Name Ages Tom Jim Jeff Kim 36 Address 220 Ave Phone 549-0507. Record 1002 2010 3090. 58 101 Main 6 78-1002 49 23 25 Court 678-3211 43 Route 202-5587. Field Figure 2.1. Records and elds in a table. entity-relati none none onship diagrams (ERDs). ERDs are a major modeling tool; they graphically describe the logical structure of the database. ERDs can be used with ease to construct relational tables and are a good vehicle for communicating the database design to the end user or a developer.

The three major components of an ERD are entities, relationships, and attributes. Entities: An entity is a data object, either real or abstract, about which we want to collect information. For example, we may want to collect information about a person, place, or thing.

An entity in an ERD translates into a table and should preferably be referred to as an entity set. Some common examples are departments, courses, and students. A single occurrence of an entity is an instance.

There are four entities in the CSE DEPT database: LogIn, Faculty, Course, and Student. Each of these entities is translated into a table with the same name. An instance of the Faculty entity is Alice Brown and her attributes.

Relationships: A database is made up of related entities. There are natural associations between the entities that are referred to as relationships. For example, Students take courses Departments offer certain courses Employees are assigned to departments The number of occurrences of one entity associated with a single occurrence of a related entity is referred to as cardinality.

Attributes: Each entity has properties or values called attributes associated with it. The attributes of an entity map into elds in a table. Database Systems is one attribute of an entity called Courses in the CSE-DEPT database.

The domain of an attribute is a set of all possible values for the attribute..
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