The steps are:
1. Find the module entity instance for "Database Systems"
2. Find the enrollment entity instances that match this module
3. For each matching enrollment, retrieve the associated student
Entity type
Entity sets
Attributes and keys
Relationship model
Mapping Constraints
The ER Model
Cardinality Constraints
Generalization, Specialization and Aggregation
ER Diagram & Database design with the ER Model
Introduction
Relational Model
Concepts
Characteristics
Entity type
Entity sets
Attributes and keys
Relationship model
Mapping Constraints
The ER Model
Cardinality Constraints
Generalization, Specialization and Aggregation
ER Diagram & Database design with the ER Model
Introduction
Relational Model
Concepts
Characteristics
An Entity–relationship model (ER model) describes the structure of a database with the help of a diagram, which is known as Entity Relationship Diagram (ER Diagram). An ER model is a design or blueprint of a database that can later be implemented as a database. The main components of E-R model are: entity set and relationship set
FIXED INCOMEModule 3 Group Homework1. [6pts] Given a fivShainaBoling829
FIXED INCOME
Module 3 Group Homework
1. [6pts] Given a five-year, 8% coupon bond with a face value of $1,000 and coupon payments made annually:
a. [1.5pts] What is the bond value if it is trading at the yield of 6%?
b. [1.5pts] What is the bond value if it is trading at the yield of 8%?
c. [1.5pts] What is the bond value if it is trading at the yield of 10%?
d. [1.5pts] Comment on the price and yield relation you observe. What are the percentage changes in value when the yield goes from 6% to 8% and when it goes from 8% to 10%?
2. [4pts] Suppose an investor bought a 10-year, 10% annual coupon bond at par (face value of $1,000 and paying coupons annually) and then sold it 3.5 years later at a yield of 8%.
a. [1pts] What is the full price?
b. [2pts] What is the accrued interest the investor would receive when he sold the bond? (Use a 30/360-day count convention)
c. [1pts] What is the clean price?
3. [6pts] A zero-coupon Treasury bill maturing in 150 days is trading at $98 per $100 face value. Determine the following rates for the T-bill:
a. [2pts] Dealer’s annual discount yield? (use 360-day count convention)
b. [2pts] Yield to maturity? (Use an actual 365-day count convention)
c. [2pts] Logarithmic return (use an actual 365-day count convention)
4. [4pts] Calculate both Macaulay and modified durations of the eight-year, 8.5% coupon bond given a flat yield curve at 10%.
Fixed-Income
1
Where business is taught with humanity in mind.
Transforming ERDs into Relations
1
This week’s presentation covered the basic components of the ERD: entities, attributes,
relationships, and cardinality. This document builds on the presentation by using the
components to create simple ERDs. It then shows how those ERDs are transformed into
relations.
The document provides examples for the following relationship types:
• unary one-to-many
• unary many-to-many
• binary one-to-one
• binary one-to-many
• binary many-to-many
• ternary
Transforming ERDs into Relations
2
Unary One-to-Many
In a unary, or recursive, relationship the entity is related to itself.
As an example, let’s model the relationship between managers and employees. A manager
manages employees while an employee is managed by a manager. Since a manager is really
just a type of employee, the relationship between managers and employees can be modeled
recursively using a single employee entity.
If you view the relationship from the right side to the top, it reads:
An employee manages zero or many employees. We use zero for the minimum cardinality
because an employee may not be a manager and, as such, would manage no employees. We
use many for the maximum cardinality because, if an employee is a manager, he/she could
manage many employees.
Viewing the relationship from the top to the right, it reads:
An employee is managed by zero or one employee. We use zero for the minimum cardinality
because an employee might not h ...
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Fundamentals of Database Management Systems 2nd Edition Gillenson Solutions Manual
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Analysis insight about a Flyball dog competition team's performanceroli9797
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Unleashing the Power of Data_ Choosing a Trusted Analytics Platform.pdfEnterprise Wired
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2. Entity/Relationship models
Entities
Relationships
Attributes
E/R Diagrams
For more information
Connolly and Begg chapter no: 11
3. Before we look at how to
create and use a database
we’ll look at how to design
one
Conceptual design
Build a model independent
of the choice of DBMS
Logical design
Create the database in a
given DBMS
Physical design
How the database is stored
in hardware
4. E/R Modelling is used for
conceptual design
Consists of:
Entities - objects or items of
interest
Attributes - facts about, or
properties of, an entity
Relationships - links
between entities
Example
In a University database we
might have entities for
Students, Subjects and
Lecturers. Students might
have attributes such as
their ID, Name, and Course,
and could have
relationships with Subjects
(enrolment) and Lecturers
5. E/R Models are often represented as E/R diagrams that
Entity Relationship Model
E-R model is a detailed, logical representation of data for an organization.
It is the graphical representation of data models in the form of entity-
relationship diagram
6. In an E/R Diagram, an
entity is usually drawn as a
box with rounded corners
The box is labelled with the
name of the class of
objects represented by
that entity
Student
Lecturer
Module
Tutors
Studies
ID
CourseName
7. In an E/R Diagram
attributes may be drawn as
ovals
Each attribute is linked to
its entity by a line
The name of the attribute
is written in the oval
Student
Lecturer
Module
Tutors
Studies
ID
CourseName
8. Relationships are an
association between two or
more entities
Each Student takes several
Modules
Each Module is taught by a
Lecturer
Each Employee works for a
single Department
Relationships have
A name
A set of entities that
participate in them
A degree - the number of
entities that participate
(most have degree 2)
9. Each entity in a
relationship can
participate in zero, one, or
more than one instances
of that relationship
This leads to 3 types of
relationship…
One to one (1:1)
Each lecturer has a unique
office
One to many (1:M)
A lecturer may tutor many
students, but each student has
just one tutor
Many to many (M:M)
Each student takes several
modules, and each module is
taken by several students
10. Relationships are links
between two entities
The name is given in a
diamond box
The ends of the link show
cardinality Student
Lecturer
Module
Tutors
Studies
ID
CourseName
ManyOne
11. Many to many
relationships are difficult
to represent
We can split a many to
many relationship into two
one to many relationships
An entity represents the
M:M relationship
Student
Module
Studies Enrolment
Student
Module
In
Has
12. To make an E/R model you
need to identify
Enitities
Attributes
Relationships
Cardinality ratios
from a description
General guidelines
Since entities are things or
objects they are often nouns
in the description
Attributes are facts or
properties, and so are often
nouns also
Verbs often describe
relationships between
entities
13. A university consists of a number of departments. Each department offers several
courses. A number of modules make up each course. Students enrol in a particular
course and take modules towards the completion of that course. Each module is
taught by a lecturer from the appropriate department, and each lecturer tutors a
group of students
14. A university consists of a number of departments. Each department offers several
courses. A number of modules make up each course. Students enrol in a
particular course and take modules towards the completion of that course. Each
module is taught by a lecturer from the appropriate department, and each lecturer
tutors a group of students
15. A university consists of a number of departments. Each department offers
several courses. A number of modules make up each course. Students enrol in a
particular course and take modules towards the completion of that course. Each
module is taught by a lecturer from the appropriate department, and each lecturer
tutors a group of students
25. Sometimes it is hard to tell
if something should be an
entity or an attribute
They both represent objects
or facts about the world
They are both often
represented by nouns in
descriptions
General guidelines
Entities can have attributes
but attributes have no
smaller parts
Entities can have
relationships between them,
but an attribute belongs to a
single entity
26. We want to represent information about products in a database.
Each product has a description, a price and a supplier. Suppliers
have addresses, phone numbers, and names. Each address is
made up of a street address, a city, and a postcode.
27. Entities or attributes:
product
description
price
supplier
address
phone number
name
street address
city
postcode
Products, suppliers, and
addresses all have smaller
parts so we can make
them entities
The others have no smaller
parts and belong to a
single entity
29. Each product has a
supplier
Each product has a single
supplier but there is nothing
to stop a supplier supplying
many products
A many to one relationship
Each supplier has an
address
A supplier has a single
address
It does not seem sensible for
two different suppliers to
have the same address
A one to one relationship
31. Some relationships
between entities, A and B,
might be redundant if
It is a 1:1 relationship
between A and B
Every A is related to a B and
every B is related to an A
Example - the supplier-
address relationship
Is one to one
Every supplier has an
address
We don’t need addresses
that are not related to a
supplier
32. We can merge the two
entities that take part in a
redundant relationship
together
They become a single entity
The new entity has all the
attributes of the old one
A B
a
c z
yb
x
AB
z
y
xa
c
b
34. From a description of the
requirements identify the
Entities
Attributes
Relationships
Cardinality ratios of the
relationships
Draw the E/R diagram and
then
Look at one to one
relationships as they might
be redundant
Look at many to many
relationships as they might
need to be split into two one
to many links
35. With a bit of practice E/R
diagrams can be used to
plan queries
You can look at the diagram
and figure out how to find
useful information
If you can’t find the
information you need, you
may need to change the
design
Enrolment
Student
Module
In
Has
How can you
find a list of
students who
are enrolled
in Database
systems?
36. Enrolment
Student
Module
In
Has
(1) Find the instance of the Module
entity with title ‘Database Systems’
(2) Find instances of the Enrolment entity
with the same Code as the result of (1)
(3) For each instance of Enrolment in the
result of (2) find the corresponding Student
ID
Code
Title
Name
ID
Code