1. The document discusses Java inheritance and how it allows classes to extend existing classes to reuse fields and methods without rewriting code.
2. Inheritance allows the creation of subclasses that are more specific versions of the parent class. Subclasses inherit all non-private fields and methods from the parent class and can override methods.
3. Polymorphism allows code to treat objects of different subclasses the same by referring to their common parent class. This allows code to work with any subclass without knowing the specific type.
Inheritance allows classes to extend existing classes, reusing and customizing their attributes and behaviors. A subclass inherits all fields and methods from its parent class. Polymorphism allows code to work with general types without knowing their specific subclasses, as subclasses can override parent methods. Interfaces define method signatures without implementations, allowing classes to support multiple interfaces through multiple inheritance.
chapter 5 concepts of object oriented programmingWondimuBantihun1
The document discusses the basic concepts of object-oriented programming in Java, including objects, classes, abstraction, encapsulation, inheritance, and polymorphism. It provides examples of objects versus classes, creating objects, access modifiers, constructors, encapsulation with getter and setter methods, single inheritance, abstract classes and interfaces for abstraction, and method overloading and overriding for polymorphism.
This document provides an overview of advanced object-oriented programming concepts in Java, including method overloading, inheritance, abstract classes, interfaces, polymorphism, packages, and visibility modifiers. It includes examples and explanations of how to implement these concepts through code samples. The document also discusses using comments and JavaDoc to document code.
Programming approaches include procedural and object-oriented. The procedural approach breaks problems into smaller parts and solves each part separately. The object-oriented approach views problems as collections of real-world objects and their relationships.
Object-oriented programming terms include object, class, attribute, method, abstraction, inheritance, encapsulation, and polymorphism. Classes define common attributes and behaviors for objects. Inheritance allows classes to extend and generalize behaviors. Encapsulation hides unnecessary details from users. Polymorphism allows objects to behave differently in different contexts.
This presentation provides an overview of object-oriented programming (OOP) concepts including:
- Encapsulation which hides unnecessary implementation details from users.
- Association which represents relationships between objects that have independent lifecycles.
- Inheritance which enables new objects to take on properties of existing objects.
- Polymorphism which allows objects to take different forms through method overloading and overriding.
- Exception handling which provides control transfer when exceptions occur using try, catch, throw, and finally.
- Abstract classes and interfaces which define behaviors without providing implementation.
OOP provides advantages like simplicity, modularity, extensibility, maintainability, and reusability.
This document provides an overview of object-oriented programming (OOP) concepts including objects, classes, encapsulation, inheritance, polymorphism, and abstraction. It explains that OOP allows decomposition of programs into objects that contain both data and functions. Classes act as blueprints for objects and define their properties and behaviors.
OOPS in java | Super and this Keyword | Memory Management in java | pacakages...Sagar Verma
OOPS and its application in Java, Super class AND This Keyword,Java Bean, POJO ,Memory management in Java ,Packages ,Miscellaneous (Var-Args, toString(), Double equals operator(==))
This document discusses design patterns and principles. It begins by defining design patterns as repeatable solutions to common design problems. It then covers several design patterns including Singleton, Strategy, Adapter, Template, Factory, Abstract Factory, and Observer patterns. It also discusses low-level principles like Tell Don't Ask and high-level principles like the Single Responsibility Principle. Finally, it provides examples of how to implement some of the patterns and principles in code.
OCP Java (OCPJP) 8 Exam Quick Reference CardHari kiran G
If you are preparing to appear for Oracle Certified Professional Java SE 8 Programmer (OCPJP 8) certification exam, this a reference card (sort of long cheat sheet) meant to help you. You may want to print this reference card for your easy and quick reference when you prepare for your exam.
This chapter discusses inheritance, exceptions, and exception handling in Java. It covers inheritance relationships between superclasses and subclasses, overriding and calling superclass methods, abstract classes and methods, and composition. The chapter also examines Java's exception hierarchy and different types of exceptions. Finally, it explores exception handling techniques like try/catch blocks and throwing, rethrowing, and creating custom exceptions.
The View object orientated programming in LotuscriptBill Buchan
This document provides an overview of object-oriented programming in LotusScript. It begins by explaining the benefits of object-oriented programming such as reduced code volume, increased code reuse, and simplified complex applications. It then covers object-oriented basics in LotusScript like defining classes, creating class instances, and extending classes. The document demonstrates these concepts through examples and provides tips for best practices. It also discusses considerations for designing large object-oriented projects in LotusScript.
This document provides an overview of object-oriented programming concepts and the Java programming language. It discusses how classes will be structured in the course, compares object-oriented and procedural programming approaches, and lists advantages of OOP. It then introduces Java, covering its design goals, features, and development environments. Finally, it explains how to build a basic Java class, including class headers, identifiers, blocks of code, indentation, and methods.
The document provides an introduction to Java 8 streams. It discusses intermediate and terminal stream operations such as filter(), sorted(), forEach(), and reduce(). It describes reductions like max(), min(), sum(), count(), and average(). It covers find methods, match methods, and Optional. It also discusses limiting, skipping, and distinct elements in streams.
- The document discusses object-oriented programming concepts such as classes, objects, attributes, methods, and constructors. It emphasizes that OOP is an approach to program decomposition and building on previous programming skills.
- Key concepts are introduced like classes having attributes and methods, objects being instances of classes, and the use of constructors. Relationships between classes through objects and inheritance are also covered.
- Challenges of teaching OOP in Python are noted, since Python does not require declarations and has dynamic typing unlike languages like Java.
This document provides an overview of object-oriented programming concepts including classes, objects, inheritance, encapsulation, and polymorphism. It also discusses Java programming fundamentals such as primitive data types, variables, flow control, arrays, and methods. Additionally, it covers object-oriented principles in Java like abstraction, interfaces, exceptions, and collections.
This document provides information about a CS 213 object oriented programming course in Java. It lists the instructors, lecture times and groups, assessment model, and course outline. The outline covers an overview of Java, basic syntax including classes, objects, and methods, variables, operators, loops, strings, arrays, exceptions, inheritance, polymorphism, and more. It also includes documentation on Java identifiers, keywords, comments, modifiers, and variables.
Python Programming - VI. Classes and ObjectsRanel Padon
This document discusses classes and objects in Python programming. It covers key concepts like class attributes, instantiating classes to create objects, using constructors and destructors, composition where objects have other objects as attributes, and referencing objects. The document uses examples like a Time class to demonstrate class syntax and how to define attributes and behaviors for classes.
Programming approaches include procedural and object-oriented. The procedural approach breaks problems into smaller parts and solves each part separately. The object-oriented approach views problems as collections of real-world objects and their relationships.
Object-oriented programming terms include object, class, attribute, method, abstraction, inheritance, encapsulation, and polymorphism. Classes define common attributes and behaviors for objects. Inheritance allows classes to extend and generalize behaviors. Encapsulation hides unnecessary details from users. Polymorphism allows objects to behave differently in different contexts.
This presentation provides an overview of object-oriented programming (OOP) concepts including:
- Encapsulation which hides unnecessary implementation details from users.
- Association which represents relationships between objects that have independent lifecycles.
- Inheritance which enables new objects to take on properties of existing objects.
- Polymorphism which allows objects to take different forms through method overloading and overriding.
- Exception handling which provides control transfer when exceptions occur using try, catch, throw, and finally.
- Abstract classes and interfaces which define behaviors without providing implementation.
OOP provides advantages like simplicity, modularity, extensibility, maintainability, and reusability.
This document provides an overview of object-oriented programming (OOP) concepts including objects, classes, encapsulation, inheritance, polymorphism, and abstraction. It explains that OOP allows decomposition of programs into objects that contain both data and functions. Classes act as blueprints for objects and define their properties and behaviors.
OOPS in java | Super and this Keyword | Memory Management in java | pacakages...Sagar Verma
OOPS and its application in Java, Super class AND This Keyword,Java Bean, POJO ,Memory management in Java ,Packages ,Miscellaneous (Var-Args, toString(), Double equals operator(==))
This document discusses design patterns and principles. It begins by defining design patterns as repeatable solutions to common design problems. It then covers several design patterns including Singleton, Strategy, Adapter, Template, Factory, Abstract Factory, and Observer patterns. It also discusses low-level principles like Tell Don't Ask and high-level principles like the Single Responsibility Principle. Finally, it provides examples of how to implement some of the patterns and principles in code.
OCP Java (OCPJP) 8 Exam Quick Reference CardHari kiran G
If you are preparing to appear for Oracle Certified Professional Java SE 8 Programmer (OCPJP 8) certification exam, this a reference card (sort of long cheat sheet) meant to help you. You may want to print this reference card for your easy and quick reference when you prepare for your exam.
This chapter discusses inheritance, exceptions, and exception handling in Java. It covers inheritance relationships between superclasses and subclasses, overriding and calling superclass methods, abstract classes and methods, and composition. The chapter also examines Java's exception hierarchy and different types of exceptions. Finally, it explores exception handling techniques like try/catch blocks and throwing, rethrowing, and creating custom exceptions.
The View object orientated programming in LotuscriptBill Buchan
This document provides an overview of object-oriented programming in LotusScript. It begins by explaining the benefits of object-oriented programming such as reduced code volume, increased code reuse, and simplified complex applications. It then covers object-oriented basics in LotusScript like defining classes, creating class instances, and extending classes. The document demonstrates these concepts through examples and provides tips for best practices. It also discusses considerations for designing large object-oriented projects in LotusScript.
This document provides an overview of object-oriented programming concepts and the Java programming language. It discusses how classes will be structured in the course, compares object-oriented and procedural programming approaches, and lists advantages of OOP. It then introduces Java, covering its design goals, features, and development environments. Finally, it explains how to build a basic Java class, including class headers, identifiers, blocks of code, indentation, and methods.
The document provides an introduction to Java 8 streams. It discusses intermediate and terminal stream operations such as filter(), sorted(), forEach(), and reduce(). It describes reductions like max(), min(), sum(), count(), and average(). It covers find methods, match methods, and Optional. It also discusses limiting, skipping, and distinct elements in streams.
- The document discusses object-oriented programming concepts such as classes, objects, attributes, methods, and constructors. It emphasizes that OOP is an approach to program decomposition and building on previous programming skills.
- Key concepts are introduced like classes having attributes and methods, objects being instances of classes, and the use of constructors. Relationships between classes through objects and inheritance are also covered.
- Challenges of teaching OOP in Python are noted, since Python does not require declarations and has dynamic typing unlike languages like Java.
This document provides an overview of object-oriented programming concepts including classes, objects, inheritance, encapsulation, and polymorphism. It also discusses Java programming fundamentals such as primitive data types, variables, flow control, arrays, and methods. Additionally, it covers object-oriented principles in Java like abstraction, interfaces, exceptions, and collections.
This document provides information about a CS 213 object oriented programming course in Java. It lists the instructors, lecture times and groups, assessment model, and course outline. The outline covers an overview of Java, basic syntax including classes, objects, and methods, variables, operators, loops, strings, arrays, exceptions, inheritance, polymorphism, and more. It also includes documentation on Java identifiers, keywords, comments, modifiers, and variables.
Python Programming - VI. Classes and ObjectsRanel Padon
This document discusses classes and objects in Python programming. It covers key concepts like class attributes, instantiating classes to create objects, using constructors and destructors, composition where objects have other objects as attributes, and referencing objects. The document uses examples like a Time class to demonstrate class syntax and how to define attributes and behaviors for classes.
This research is oriented towards exploring mode-wise corridor level travel-time estimation using Machine learning techniques such as Artificial Neural Network (ANN) and Support Vector Machine (SVM). Authors have considered buses (equipped with in-vehicle GPS) as the probe vehicles and attempted to calculate the travel-time of other modes such as cars along a stretch of arterial roads. The proposed study considers various influential factors that affect travel time such as road geometry, traffic parameters, location information from the GPS receiver and other spatiotemporal parameters that affect the travel-time. The study used a segment modeling method for segregating the data based on identified bus stop locations. A k-fold cross-validation technique was used for determining the optimum model parameters to be used in the ANN and SVM models. The developed models were tested on a study corridor of 59.48 km stretch in Mumbai, India. The data for this study were collected for a period of five days (Monday-Friday) during the morning peak period (from 8.00 am to 11.00 am). Evaluation scores such as MAPE (mean absolute percentage error), MAD (mean absolute deviation) and RMSE (root mean square error) were used for testing the performance of the models. The MAPE values for ANN and SVM models are 11.65 and 10.78 respectively. The developed model is further statistically validated using the Kolmogorov-Smirnov test. The results obtained from these tests proved that the proposed model is statistically valid.
an insightful lecture on "Loads on Structure," where we delve into the fundamental concepts and principles of load analysis in structural engineering. This presentation covers various types of loads, including dead loads, live loads, as well as their impact on building design and safety. Whether you are a student, educator, or professional in the field, this lecture will enhance your understanding of ensuring stability. Explore real-world examples and best practices that are essential for effective engineering solutions.
A lecture by Eng. Wael Almakinachi, M.Sc.
Interfacing PMW3901 Optical Flow Sensor with ESP32CircuitDigest
Learn how to connect a PMW3901 Optical Flow Sensor with an ESP32 to measure surface motion and movement without GPS! This project explains how to set up the sensor using SPI communication, helping create advanced robotics like autonomous drones and smart robots.
Dear SICPA Team,
Please find attached a document outlining my professional background and experience.
I remain at your disposal should you have any questions or require further information.
Best regards,
Fabien Keller
In modern aerospace engineering, uncertainty is not an inconvenience — it is a defining feature. Lightweight structures, composite materials, and tight performance margins demand a deeper understanding of how variability in material properties, geometry, and boundary conditions affects dynamic response. This keynote presentation tackles the grand challenge: how can we model, quantify, and interpret uncertainty in structural dynamics while preserving physical insight?
This talk reflects over two decades of research at the intersection of structural mechanics, stochastic modelling, and computational dynamics. Rather than adopting black-box probabilistic methods that obscure interpretation, the approaches outlined here are rooted in engineering-first thinking — anchored in modal analysis, physical realism, and practical implementation within standard finite element frameworks.
The talk is structured around three major pillars:
1. Parametric Uncertainty via Random Eigenvalue Problems
* Analytical and asymptotic methods are introduced to compute statistics of natural frequencies and mode shapes.
* Key insight: eigenvalue sensitivity depends on spectral gaps — a critical factor for systems with clustered modes (e.g., turbine blades, panels).
2. Parametric Uncertainty in Dynamic Response using Modal Projection
* Spectral function-based representations are presented as a frequency-adaptive alternative to classical stochastic expansions.
* Efficient Galerkin projection techniques handle high-dimensional random fields while retaining mode-wise physical meaning.
3. Nonparametric Uncertainty using Random Matrix Theory
* When system parameters are unknown or unmeasurable, Wishart-distributed random matrices offer a principled way to encode uncertainty.
* A reduced-order implementation connects this theory to real-world systems — including experimental validations with vibrating plates and large-scale aerospace structures.
Across all topics, the focus is on reduced computational cost, physical interpretability, and direct applicability to aerospace problems.
The final section outlines current integration with FE tools (e.g., ANSYS, NASTRAN) and ongoing research into nonlinear extensions, digital twin frameworks, and uncertainty-informed design.
Whether you're a researcher, simulation engineer, or design analyst, this presentation offers a cohesive, physics-based roadmap to quantify what we don't know — and to do so responsibly.
Key words
Stochastic Dynamics, Structural Uncertainty, Aerospace Structures, Uncertainty Quantification, Random Matrix Theory, Modal Analysis, Spectral Methods, Engineering Mechanics, Finite Element Uncertainty, Wishart Distribution, Parametric Uncertainty, Nonparametric Modelling, Eigenvalue Problems, Reduced Order Modelling, ASME SSDM2025
The use of huge quantity of natural fine aggregate (NFA) and cement in civil construction work which have given rise to various ecological problems. The industrial waste like Blast furnace slag (GGBFS), fly ash, metakaolin, silica fume can be used as partly replacement for cement and manufactured sand obtained from crusher, was partly used as fine aggregate. In this work, MATLAB software model is developed using neural network toolbox to predict the flexural strength of concrete made by using pozzolanic materials and partly replacing natural fine aggregate (NFA) by Manufactured sand (MS). Flexural strength was experimentally calculated by casting beams specimens and results obtained from experiment were used to develop the artificial neural network (ANN) model. Total 131 results values were used to modeling formation and from that 30% data record was used for testing purpose and 70% data record was used for training purpose. 25 input materials properties were used to find the 28 days flexural strength of concrete obtained from partly replacing cement with pozzolans and partly replacing natural fine aggregate (NFA) by manufactured sand (MS). The results obtained from ANN model provides very strong accuracy to predict flexural strength of concrete obtained from partly replacing cement with pozzolans and natural fine aggregate (NFA) by manufactured sand.
この資料は、Roy FieldingのREST論文(第5章)を振り返り、現代Webで誤解されがちなRESTの本質を解説しています。特に、ハイパーメディア制御やアプリケーション状態の管理に関する重要なポイントをわかりやすく紹介しています。
This presentation revisits Chapter 5 of Roy Fielding's PhD dissertation on REST, clarifying concepts that are often misunderstood in modern web design—such as hypermedia controls within representations and the role of hypermedia in managing application state.
This slide deck presents a detailed overview of the 2025 survey paper titled “A Survey of Personalized Large Language Models” by Liu et al. It explores how foundation models like GPT and LLaMA can be personalized to better reflect user-specific needs, preferences, and behaviors.
The presentation is structured around a 3-level taxonomy introduced in the paper:
Input-Level Personalization (e.g., user-profile prompting, memory retrieval)
Model-Level Personalization (e.g., LoRA, PEFT, adapters)
Objective-Level Personalization (e.g., RLHF, preference alignment)
Several studies have established that strength development in concrete is not only determined by the water/binder ratio, but it is also affected by the presence of other ingredients. With the increase in the number of concrete ingredients from the conventional four materials by addition of various types of admixtures (agricultural wastes, chemical, mineral and biological) to achieve a desired property, modelling its behavior has become more complex and challenging. Presented in this work is the possibility of adopting the Gene Expression Programming (GEP) algorithm to predict the compressive strength of concrete admixed with Ground Granulated Blast Furnace Slag (GGBFS) as Supplementary Cementitious Materials (SCMs). A set of data with satisfactory experimental results were obtained from literatures for the study. Result from the GEP algorithm was compared with that from stepwise regression analysis in order to appreciate the accuracy of GEP algorithm as compared to other data analysis program. With R-Square value and MSE of -0.94 and 5.15 respectively, The GEP algorithm proves to be more accurate in the modelling of concrete compressive strength.
3. Introduction (OOP)
• OOP is a programming paradigm that represents
concepts as "objects" that have data fields
(attributes that describe the object) and
associated procedures known as methods
3
4. Advantages of OOP
• Provides a clear modular structure for programs
• OOP makes it easy to maintain and modify existing
code (new objects can be created with small
differences to existing ones)
• OOP provides a good framework for code libraries
• Software components can be easily adapted and
modified by the programmer.
4
6. Exercise
• Identify suitable state and behaviors (Attributes and
methods) for the following
– Student
– Bank Account
– Book
– Employee
– Sales Summary
– Course
– Result
7/11/2015 Budditha Hettige (budditha@yahoo.com) 6
7. Concepts of OOP
• Objects
• Classes
• Encapsulation
• Inheritance
• Polymorphism
• Data Abstraction
7
8. What is an Objects?
• Object is a software bundle of related state and
behavior
• Characteristics:
– state and behavior
8
9. What is a class?
• A Java class is a group of Java methods and
variables
• Object is an instance of a class
• Example
class Person
{
// Methods
// Variables
}
9
10. Example
• Create a Java Class Account with suitable methods
and variables
7/11/2015 Budditha Hettige (budditha@yahoo.com) 10
12. Java Programming: OOP 12
Class Modifiers
• public: anyone can create an object of the defined
class.
– only one public class per file, must have same
name as the file (this is how Java finds it!).
• default: is non-public (if you don't specify "public").
13. Java Programming: OOP 13
Class Modifiers
• abstract: modifier means that the class can be used
as a superclass only.
– no objects of this class can be created.
• final: if its definition is complete and no subclasses
are desired or required
– a final class never has any subclasses, the
methods of a final class are never overridden
15. Java Programming: OOP 15
Field Modifiers
• public: any method (in any class) can access the
field.
• protected: any method in the same package can
access the field, or any derived class.
• private: only methods in the class can access the
field.
• Default: is that only methods in the same package
can access the field.
16. Java Programming: OOP 16
Field Modifiers
• Static: Fields declared static are called class fields
(class variables). others are called instance fields. There
is only one copy of a static field, no matter how many
objects are created.
• Final:class and instance variables (static and non-
static fields) may be declared final. The keyword final
means: once the value is set, it can never be changed
– static final int BUFSIZE=100;
– final double PI=3.14159;
17. Method Modifiers
• public
• protected
• none or package or default
• private
• final
• abstract
• static
• native
• synchronized
17
18. Java Programming: OOP 18
Method Modifiers
• private/protected/public:
– same idea as with fields.
• abstract: no implementation given, must be
supplied by subclass.
– the class itself must also be declared
abstract
19. Java Programming: OOP 19
Method Modifiers
• static: the method is a class method, it
doesn't depend on any instance fields or
methods, and can be called without first
creating an object.
• final: the method cannot be changed by a
subclass (no alternative implementation
can be provided by a subclass).
20. Java Programming: OOP 20
Method Modifiers
• native: the method is written in some
local code (C/C++) - the implementation is
not provided in Java.
• synchronized: only one thread at a time
can call the method.
21. Java Programming: OOP 21
Method Overloading
• You can overload methods:
– same method name, different parameters.
– you can't just change return type, the
parameters need to be different.
• Method overloading is resolved at compile
time. int CounterValue() {
return counter;
}
double CounterValue() {
return (double) counter;
}
Won't Work!
22. All Possible Combinations of Features
and Modifiers
22
Modifier Class Variable Method
public yes yes yes
protected no yes yes
None (default) yes yes yes
private no yes yes
final yes yes yes
abstract yes no yes
static no yes yes
native no no yes
transient no yes no
volatile no yes no
synchronized no no yes
strictfp yes no yes
23. Example
• Create a class “Student” with following methods
– print();
– input()
• Create a class “Length” with following methods
– Print()
– input()
– Add(Lenth1, Length2)
23
24. Example contd.
• Create a class Name with 3 attribute (First name, middle
name and last name) and include following methods
– Print();
– input()
• Create a class name Date with 3 attribute (Day, Month
and year) and include following methods
– print()
– Input()
– printFormat1() // 23.5.2015
– PrintFormat2() // 23rd May 2015
24