CSCI-507 Database Theory
Lecture 7 Normalization of Database Tables
Objectives
In this lecture, students will learn:
What normalization is and what role it plays in the database design process About the normal forms 1NF, 2NF, 3NF, BCNF, and 4NF How norm
CSCI-507 Database Theory
Lecture 6 Advanced Data Modeling
Objectives
In this lecture, students will learn:
About the extended entity relationship (EER) model How entity clusters are used to represent multiple entities and relationships The characteristi
10/31/2010
CSCI-507 Database Theory
Lecture 5
Entity Relationship (E-R) Modeling
Basic Modeling Concepts
Database design is both art and science. A data model is the relatively simple representation, usually graphic, of complex real-world data structures.
CSCI-507 Database Theory
Lecture 3 Structured Query Language (SQL) & Advanced SQL
Objectives
In this lecture, you will learn: The basic commands and functions of SQL How to use SQL for data administration (to create tables, indexes, and views) How to use
CSCI 507 Database Theory
Lecture 3 Relational Algebra and Relational Calculus
1
Learning Objectives
Meaning of the term relational completeness. How to form queries in relational algebra. How to form queries in tuple relational calculus. How to form quer
CSCI-507 Database Theory
Lecture 2 Data Modeling
Database Systems, 9th Edition
1
Objectives
In this chapter, you will learn:
About data modeling and why data models are important About the basic data-modeling building blocks What business rules are and h
CSCI 507 Database Theory
Introduction to Database Systems
Course Description
Introduction to the design and development of database systems. ER (entity-relationship) approaches to data modeling Relational model of database management systems (DBMSs) Use
CSCI 528 Data Structures Prerequisite: None IMPORTANT: All studnets mut have a valid UNVA issued by university. Please go to student potral, click on "My profile" and make sure unva emial is your primary email. Since all faculty are using portal to send g
Numbers Refer to chaters in the text. Time 20 to 25 min max. per presentation per student Apr 10th Apr 17th Student Name 1. Aenugula, Harish 2. Baddam, Vikram Reddy 3. Burla, Abhinav Sharat 4. Donthi, Ravikiran 5. Gaddipati, Lakshmi Deepika 6. Jejamma, Sr
William Stallings Computer Organization and Architecture 8th Edition Chapter 1 Introduction
Architecture & Organization 1 Architecture is those attributes visible to the programmer
-Instruction set, number of bits used for data representation, I/O mechani
Iterative computations of the Transportation algorithm
Iterative computations of the Transportation algorithm After determining the starting BFS by any one of the three methods discussed earlier, we use the following algorithm to determine the optimum sol
Determination of Starting Basic Feasible Solution
Determination of the starting Solution In any transportation model we determine a starting BFS and then iteratively move towards the optimal solution which has the least shipping cost. There are three
The Transportation Model Formulations
The Transportation Model The transportation model is a special class of LPPs that deals with transporting(=shipping) a commodity from sources (e.g. factories) to destinations (e.g. warehouses). The objective is to det
The Simplex algorithm
Abstract: In this lecture we discuss the computational aspects of the Simplex algorithm. We shall see how a LPP is put into a simplex tableau. Starting from a BFS, we explain how to proceed step by step till we reach the optimal solu
Algebraic Solution of LPPs - Simplex Method To solve an LPP algebraically, we first put it in the standard form. This means all decision variables are nonnegative and all constraints (other than the nonnegativity restrictions) are equations with nonnegati
Algebraic Solution of LPPs - Simplex Method To solve an LPP algebraically, we first put it in the standard form. This means all decision variables are nonnegative and all constraints (other than the nonnegativity restrictions) are equations with nonnegati
Sensitivity Analysis The optimal solution of a LPP is based on the conditions that prevailed at the time the LP model was formulated and solved. In the real world, the decision environment rarely remains static and it is essential to determine how the opt
Operations Research, Final Exam University of Northern Virginia Winter 2011
03/05/2011 1. Determine the optimum solution of the following LP using the Simplex Method. Maximize z = 16x1 +15x2 Subject to 40x1 + 31x2 <=124 -x1 +x2 <=1 x1 <=3 x1, x2 >= 0 2. D
Operations Research, Final Exam University of Northern Virginia Professor Yingwu Fang
1. ChemLabs uses raw materials I and II to produce two domestic cleaning solutions, A and B. The daily availabilities of raw materials I and II are 150 and 145 units, re
Operations Research (OR)
University of Northern Virginia Dr. Yingwu Fang
Week 1 Reading: Chapter 1 Basic concepts to learn from the reading: 1. 2. 3. 4. 5. 6. 7. 8. History and definition of Operations Research Alternatives, restrictions, and objective cr
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Operations Research
Text Book: Operations Research: An Introduction By Hamdy A.Taha (Pearson Education) 8th Edition
The formal activities of Operations Research (OR) were initiated in England during World War II when a team of British scientists set out t
INTEGER LINEAR PROGRAMMING
There are many LP problems in which the decision variables will take only integer values. If all the decision variables will only take integer values it is called a pure integer LPP; otherwise the problem is called a mixed integ
Dual Problem of an LPP Given a LPP (called the primal problem), we shall associate another LPP called the dual problem of the original (primal) problem. We shall see that the Optimal values of the primal and dual are the same provided both have finite fea
Integer Programming Problems Many of the LPP requires that the solution be integers. For example, if the problem is to estimate the maximum profit for a manufacture that produces radios, TVs, and DVDs. The problem requires you to find how many of each pro
Operations Research (OR)
University of Northern Virginia
Reading: Chapter 2 Basic concepts and methods to learn from the reading: 1. The graphical method is only applicable to two variable LP models. In the graph, one of the decision variables (usually x1
William Stallings Computer Organization and Architecture 8th Edition Chapter 1 Introduction
Architecture & Organization 1 Architecture is those attributes visible to the programmer
-Instruction set, number of bits used for data representation, I/O mechani
Review Paper
1-Cover Page 2-Table of Contents 3- Abstract Master subtitle style Click to edit 4- Introduction 5-Conclusion 6-References
4/15/11
Cover Page
UNVA University REVIEW OF "TITLE" Name Roster Number Course Number Date
4/15/11
Table of Contents
Ta