Modified version of Chapter 18 of the book Fundamentals_of_Database_Systems,_6th_Edition with review questions
as part of database management system course
Modified version of Chapter 18 of the book Fundamentals_of_Database_Systems,_6th_Edition with review questions
as part of database management system course
Functional dependencies in Database Management SystemKevin Jadiya
Slides attached here describes mainly Functional dependencies in database management system, how to find closure set of functional dependencies and in last how decomposition is done in any database tables
Organizing Data in a Traditional File Environment
File organization Term and Concepts
Computer system organizes data in a hierarchy
Bit: Smallest unit of data; binary digit (0,1)
Byte: Group of bits that represents a single character
Field: Group of characters as word(s) or number
Record: Group of related fields
File: Group of records of same type
Here you can find 1000's of Multiple Choice Questions(MCQs) of Database Management System(DBMS) includes the MCQs of fundamental of Database Management System(DBMS), introduction of Database Model, Relational Database Model, Constrants, Relational Algebra, Definition and types of Structured Query Language(SQL), Embedded SQL, Database Normalization (1NF, 2NF, 3NF, BCNF, 4NF, 5NF and DKNF) and Data Storage Devices, Architecture of DBMS and Database Security, Integrity and Quality
Software sources
Invitation to tender
Evaluating supplier proposals
The advantage and disadvantage of bespoke and off-the-shelf software
Software contracts and licences
Understand how the database approach is Understand how the database approach is different and superior to earlier data systems different and superior to earlier data systems
Examine how information demand and Examine how information demand and technology explosion drive database systems technology explosion drive database systems
Trace the evolution of data systems and note Trace the evolution of data systems and note how we have arrive at the database approach how we have arrive at the database approach
Comprehend the benefits of database systems Comprehend the benefits of database systems and perceive the need for them and perceive the need for them
Survey briefly various data models, types of Survey briefly various data models, types of databases, and the database industry
Functional dependencies in Database Management SystemKevin Jadiya
Slides attached here describes mainly Functional dependencies in database management system, how to find closure set of functional dependencies and in last how decomposition is done in any database tables
Organizing Data in a Traditional File Environment
File organization Term and Concepts
Computer system organizes data in a hierarchy
Bit: Smallest unit of data; binary digit (0,1)
Byte: Group of bits that represents a single character
Field: Group of characters as word(s) or number
Record: Group of related fields
File: Group of records of same type
Here you can find 1000's of Multiple Choice Questions(MCQs) of Database Management System(DBMS) includes the MCQs of fundamental of Database Management System(DBMS), introduction of Database Model, Relational Database Model, Constrants, Relational Algebra, Definition and types of Structured Query Language(SQL), Embedded SQL, Database Normalization (1NF, 2NF, 3NF, BCNF, 4NF, 5NF and DKNF) and Data Storage Devices, Architecture of DBMS and Database Security, Integrity and Quality
Software sources
Invitation to tender
Evaluating supplier proposals
The advantage and disadvantage of bespoke and off-the-shelf software
Software contracts and licences
Understand how the database approach is Understand how the database approach is different and superior to earlier data systems different and superior to earlier data systems
Examine how information demand and Examine how information demand and technology explosion drive database systems technology explosion drive database systems
Trace the evolution of data systems and note Trace the evolution of data systems and note how we have arrive at the database approach how we have arrive at the database approach
Comprehend the benefits of database systems Comprehend the benefits of database systems and perceive the need for them and perceive the need for them
Survey briefly various data models, types of Survey briefly various data models, types of databases, and the database industry
Define e-commerce and describe how it differs
from e-business
Identify the unique features of e-commerce
technology and their business significance
Describe the major types of e-commerce
Understand the visions and forces behind the
E-Commerce I era
These are the slides which I used is a 3 day workshop which I gave to university students in Brazil. Any feedback, and additional material that I could use (text, pictures, cartoons or videos), very gratefully received.
The Federal Enterprise Architecture (FEA) is the latest attempt by the US federal government to unite its myriad agencies and functions under a single common and ubiquitous enterprise architecture.
Defining Innovation
Importance Of Innovation
Misconceptions
Types of Innovations
Information And Communications Technology
The Role of ICT
Rapid Evolution of ICT
TOGAF divides an enterprise architecture into four categories, as follows:
Business architecture—Describes the processes the business uses to meet its goals
Application architecture—Describes how specific applications are designed and how they interact with each other
Data architecture—Describes how the enterprise data stores are organized and accessed
Technical architecture—Describes the hardware and software infrastructure that supports applications and their interactions
Enterprise Architecture definition
System architecture
The Role of EA
Enterprise Frameworks:
Zachman Framework
The Open Group’s Architecture Framework (TOGAF)
The Foundation for Execution
Business architecture
Information architecture
Application architecture
Technology architecture
Implementation
Designing Futures to Flourish: ISSS 2015 keynotePeter Jones
We now find ourselves as a systems thinking community inquiring into planetary governance for climate and ecological politics. The Anthropocene demands a planetary response, and yet we often find even our fellow travelers tethered to discourses of technological management, cultural change, and right action. We might now advocate a stronger role for social systems design as a process for continual engagement of citizen stakeholders, and between these citizens and policy makers, as advocated by Christakis, Ulrich and others. As we have seen power (economic and political) separate from its cultural histories, and become globalized, we may find ourselves in trajectories of action but with marginal power to effect societal outcomes.
We are faced with a dual mandate of restorative system design, recovering human needs in our communities, and policy system design, restoring the long historical arc toward democratic governance. And as these are both designable contexts, systemic design can integrate ecological, technological and design thinking to guide policy in more productive ways.
• We find ourselves captured in the politics of solutionism. Most presentations of the “problems” as stated before us reveal a trajectory of preferred solutions and their possible shortcomings.
• Climate change, even the entire Anthropocene aeonic perspective, represents a problematique of multiple effects systems. We are bound up in political discourses of “system change” and do not share a compelling common view of a flourishing world. We seem unable to reregister the most compelling societal choices and drivers save carbon mitigation.
• We have not conducted, to my knowledge, a substantial stakeholder discovery that extends beyond the immediate and obvious primary combatants in the climate change wars.
• As citizens and political actors on the planetary stage, we have been afraid or unable to present a clear view of the risk scenarios, possible governance strategies, or a normative plan for serious global investment. If the planet were a business concern, it would be in receivership by now.
Slides with notes for my workshop at Lean UX 2014. This is an iterated version of my 2013 workshop - different exercise, slightly different content, but much is similar. Includes link to handout!
System Development Life Cycle
Data, Function, Network, People, Time, Motivation What constitutes the “enterprise”?
Key enterprise architecture terms Enterprise Architecture Terms
How do you achieve perfect alignment?
Importance of alignment
Lack of Alignment
Nature of Complexity
Architectural Principles
In this you will learn about
1. Definitions
2. Introduction to Data Structures
3. Classification of Data structures
a. Primitive Data structures
i. int
ii. Float
iii. char
iv. Double
b. Non- Primitive Data structures
i. Linear Data structures
1. Arrays
2. Linked Lists
3. Stack
4. Queue
ii. Non Linear Data structures
1. Trees
2. Graphs
Paper presented at the Second Congres International Des Etudes Somaliennes Pour Une Culture De La Paix En Somalie, 25-27 October 1995, Institut du Monde Arab, Paris.
Paper presented at the Second Congres International Des Etudes Somaliennes
Pour Une Culture De La Paix En Somalie, 25-27 October 1995, Institut du Monde Arab, Paris.
Problem: Tough competition and demanding customers.
Solutions: Redesigned order and production processes reduce costs, increase revenue, and improve customer service.
At the business level of strategy, the key question is, "How can we compete effectively in this particular market?" The market might be light bulbs, utility vehicles, or cable television.
Important Managerial Questions:
What is strategy?
What is strategic advantage?
Information Systems as a strategic resource
How do we use Information Systems to achieve some form of strategic advantage over competitors?
Types of information systems?
Function of different types of system
Benefits of information systems
The characteristics of types of Information Systems
Also known as Critical Network Analysis
Developed by Dupont and Remington Rand in the late 1950s for managing plant maintenance projects
Uses one duration estimate for each activity
Provides basic framework for project planning and contro
The Meaning of Process
2.2 Software Process Models
2.3 Tools and Techniques for Process Modeling
2.4 Practical Process Modeling
2.5 Information System Example
2.6 What this Chapter Means for You
Somalis’ national consciousness is based on the shared heritage of Islam, belief in a common
ancestor, language and culture. This notion, which is also called unity, has
preserved Somali-speaking people for centuries.
European exploration opened the door to colonialism.
The opening of the Suez Canal in 1869 created a geopolitical situation which
increased the competition for control of the coast along the Red Sea and the Indian
Ocean among the European colonial powers.
Explain growth and importance of databases
Name limitations of conventional file processing
Identify five categories of databases
Explain advantages of databases
Identify costs and risks of databases
List components of database environment
Describe evolution of database systems
Definition of Knowledge Management
Forces Driving Knowledge Management Data, Information and Knowledge
Importance of Knowledge
Managing Knowledge
Organizational Learning
Through Knowledge Management
An understanding and appreciation of the vital
and pervasive role of information as an
essential input in all developmental activities;
A thorough insight into all techniques of
information handling with special emphasis o
the application of information technology;
Necessary skills and information technology
background for designing, implementing,
operating and managing information systems
To understand the need and importance of
Office Automation Systems
To understand the benefits of paperless Office
To know about the components of Office
Automation
To study the concept of Office Information
System
Methods to select landscape features from a GIS database;
The meaning of the term „query‟, when applied spatially or referentially; and
Methods you can use to develop a description of the resources located on a landscape.
The main components, or building blocks, of a map
The qualities of a map that are important in communicating information to map users
The types of maps that can be developed to visually and quickly communicate information to an audience
More from Taibah University, College of Computer Science & Engineering (20)
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Palestine last event orientationfvgnh .pptxRaedMohamed3
An EFL lesson about the current events in Palestine. It is intended to be for intermediate students who wish to increase their listening skills through a short lesson in power point.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
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Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
How to Make a Field invisible in Odoo 17Celine George
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Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
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The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
1. 1
Introduction to Data
Structures
Lecture 1
Khalid Khankan and Abdisalam Issa-Salwe
Taibah University
College of Computer Science & Engineering
Computer Science Department
2
Outline
1. Choosing Data Structures
2. Selecting Data Structure
3. Data Structure Philosophy
4. Abstract Data Types
5. Logical vs. Physical Form
6. Programs
7. Algorithm Properties
8. References
2. 2
3
Data Structures
A data structure is a scheme
for organizing data in the
memory of a computer.
Some of the more commonly
used data structures include
lists, arrays, stacks, queues,
heaps, trees, and graphs.
Binary Tree
4
Data Structures
The way in which the data is
organized affects the
performance of a program
for different tasks.
Computer programmers
decide which data structures
to use based on the nature
of the data and the
processes that need to be
performed on that data.
Binary Tree
3. 3
5
The Need for Data Structures
Data structures organize data
more efficient programs.
More powerful computers more complex
applications.
More complex applications demand more
calculations.
Complex computing tasks are unlike our
everyday experience.
6
The Need for Data Structures
Data structures organize data
more efficient programs.
More powerful computers more complex
applications.
More complex applications demand more
calculations.
Complex computing tasks are unlike our
everyday experience.
4. 4
7
Example: A Queue
A queue is an example of commonly used simple data
structure. A queue has beginning and end, called the
front and back of the queue.
Data enters the queue at one end and leaves at the other.
Because of this, data exits the queue in the same order in
which it enters the queue, like people in a checkout line at
a supermarket.
8
Example: A Binary Tree
A binary tree is another
commonly used data
structure. It is organized like
an upside down tree.
Each spot on the tree, called
a node, holds an item of data
along with a left pointer and
a right pointer. Binary Tree
5. 5
9
Example: A Binary Tree
The pointers are lined up
so that the structure forms
the upside down tree, with
a single node at the top,
called the root node, and
branches increasing on the
left and right as you go
down the tree.
Binary Tree
10
Choosing Data Structures
By comparing the queue with
the binary tree, you can see
how the structure of the data
affects what can be done
efficiently with the data.
6. 6
11
Choosing Data Structures
A queue is a good data structure
to use for storing things that need
to be kept in order, such as a set
of documents waiting to be
printed on a network printer.
.
12
Choosing Data Structures
The jobs will be printed in the
order in which they are received.
Most network print servers
maintain such a print queue.
.
7. 7
13
Choosing Data Structures
A binary tree is a good data
structure to use for searching
sorted data.
The middle item from the list is
stored in the root node, with
lesser items to the left and greater
items to the right.
14
Choosing Data Structures
A search begins at the root. The
computer either find the data, or
moves left or right, depending on
the value for which you are
searching.
Each move down the tree cuts the
remaining data in half.
8. 8
15
Choosing Data Structures
Items can be located very quickly
in a tree.
Telephone directory assistance
information is stored in a tree, so
that a name and phone number
can be found quickly.
16
Choosing Data Structures
For some applications, a queue is
the best data structure to use.
For others, a binary tree is better.
Programmers choose from
among many data structures
based on how the data will be
used by the program.
9. 9
17
The Need for Data Structures
Data structures organize data
more efficient programs.
More powerful computers more complex
applications.
More complex applications demand more
calculations.
Complex computing tasks are unlike our
everyday experience.
18
Selecting a Data Structure
Select a data structure as follows:
1. Analyze the problem to determine the resource
constraints a solution must meet.
2. Determine the basic operations that must be
supported. Quantify the resource constraints
for each operation.
3. Select the data structure that best meets these
requirements.
10. 10
19
Data Structure Philosophy
Each data structure has costs and benefits.
Rarely is one data structure better than
another in all situations.
A data structure requires:
space for each data item it stores,
time to perform each basic operation,
programming effort.
20
Data Structure Philosophy
Each data structure has costs and benefits.
Rarely is one data structure better than
another in all situations.
A data structure requires:
space for each data item it stores,
time to perform each basic operation,
programming effort.
11. 11
21
Abstract Data Types
Abstract Data Type (ADT): a definition for a
data type solely in terms of a set of values
and a set of operations on that data type.
Each ADT operation is defined by its inputs
and outputs.
Encapsulation: Hide implementation details.
22
Data Structure
A data structure is the physical implementation
of an ADT.
Each operation associated with the ADT is
implemented by one or more subroutines in the
implementation.
In a OO language such as C++, an ADT and its
implementation together make up a class.
Data structure usually refers to an organization
for data in main memory.
File structure: an organization for data on
peripheral storage, such as a disk drive.
12. 12
23
Abstract data types
we also looked at how to use an array to
model a list
we call a list an abstract data type
it has defined operations
add to the end of the list
find an item in the list
delete an item from the list etc.
it can be implemented in different ways
array, piece of paper, tree, linked list
the operations have the same effect no matter how
the list is implemented
other examples of abstract data types
set, queue, stack, map
24
Sets
a set is an unordered
group of elements
duplicates are not
allowed
otherwise how would
you tell them apart?
the set of "foods I
like" contains the
elements
cereal, chicken, chips,
tomato soup, orange
juice and chocolate
Cereal
Chicken
Chocolate
set of foods I like
Chips
Orange
juice
Tomato
soup
13. 13
25
Lists
a list is a group of elements
arranged in some order
so we can talk about
the first element in the list
the last element in the list
element 3
the order could be meaningful
alphabetical
by size
by time
or it could simply be the order the
elements were added
duplicates are allowed
they are distinguished by their position
Things I ate today
(in chronological order)
1. cereal
2. orange juice
3. chocolate
4. tomato soup
5. chocolate
6. chicken
7. chips
8. chocolate
26
Queue
a queue is a a group of items arranged in order of arrival
new items can only be added to the back of the queue
items can only be removed from the front of the queue
shoppers at supermarket check-out
taxis in rank
computer processes awaiting execution
first-in, first-out (FIFO)
14. 14
27
Stacks
a stack is a group of items
arranged in order
new items can only be
added to the top of the stack
items can only be removed
from the top of the stack
stack of chairs or books
plates in cafeteria
temporary data storage in
CPU
last in, first out (LIFO)
28
Maps
A map is a collection of
key/element pairs
each element is stored in
a position determined by
its key
can look up an element
using its key
also known as a
dictionary
key is the word
element is the definition
algorithm
confusion
university
15. 15
29
Data Structure
A data structure is the physical implementation of an
ADT.
Each operation associated with the ADT is implemented by one
or more subroutines in the implementation.
In a OO language such as C++, an ADT and its
implementation together make up a class.
Data structure usually refers to an organization for data
in main memory.
File structure: an organization for data on peripheral
storage, such as a disk drive.
30
Labeling collections of objects
Humans deal with complexity by assigning a
label to an assembly of objects. An ADT
manages complexity through abstraction.
Hierarchies of labels
Ex1: transistors gates CPU.
In a program, implement an ADT, then think only
about the ADT, not its implementation.
16. 16
31
Logical vs. Physical Form
Data items have both a logical and a physical
form.
Logical form: definition of the data item within an
ADT.
Ex: Integers in mathematical sense: +, -
Physical form: implementation of the data item
within a data structure.
Ex: 16/32 bit integers, overflow.
32
Data Type
ADT:
Type
Operations
Data Items:
Logical Form
Data Items:
Physical Form
Data Structure:
Storage Space
Subroutines
17. 17
33
Problems, Algorithms and Programs
Programmers deal with:
problems,
algorithms and
computer programs.
34
Problems
Problem: a task to be performed.
Best thought of as inputs and matching
outputs.
Problem definition should include constraints
on the resources that may be consumed by
any acceptable solution.
18. 18
35
Problems (cont)
Problems mathematical functions
A function is a matching between inputs (the
domain) and outputs (the range).
An input to a function may be single number,
or a collection of information.
The values making up an input are called the
parameters of the function.
A particular input must always result in the
same output every time the function is
computed.
36
Algorithms and Programs
Algorithm: a method or a process followed to solve
a problem.
A recipe: The algorithm gives us a “recipe” for solving
the problem by performing a series of steps, where
each step is completely understood and doable.
An algorithm takes the input to a problem
(function) and transforms it to the output.
A mapping of input to output.
A problem can be solved by many algorithms.
19. 19
37
A problem can have many algorithms
For example, the problem of sorting can be solved
by the following algorithms:
Insertion sort
Bubble sort
Selection sort
Shell sort
Merge sort
Others
38
Algorithm Properties
An algorithm possesses the following properties:
It must be correct.
It must be composed of a series of concrete steps.
There can be no ambiguity as to which step will be performed
next.
It must be composed of a finite number of steps.
It must terminate.
A computer program is an instance, or concrete
representation, for an algorithm in some
programming language.
20. 20
39
Programs
A computer program is a concrete
representation of an algorithm in some
programming language.
Naturally, there are many programs that
are instances of the same algorithms,
since any modern programming language
can be used to implement any algorithm.
40
References
Michael Main, Data Structures and Other
Objects Using Java (Third Edition)