Operators in JAVA
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Lecture Notes Module-1, Chapter-3 Operators Programme: B E (CSE) Semester: 3 Course Code: BCS306A Course Instructor: Demian Antony Dmello 2022 Scheme of VTU An Overview of Java: Object-Oriented Programming (Two Paradigms, Abstraction, The Three OOP Principles), Using Blocks of Code, Lexical Issues (Whitespace, Identifiers, Literals, Comments, Separators, The Java Keywords). Data Types, Variables, and Arrays: The Primitive Types (Integers, Floating-Point Types, Characters, Booleans), Variables, Type Conversion and Casting, Automatic Type Promotion in Expressions, Arrays, Introducing Type Inference with Local Variables. Operators: Arithmetic Operators, Relational Operators, Boolean Logical Operators, The Assignment Operator, The ? Operator, Operator Precedence, Using Parentheses. Control Statements: Java’s Selection Statements (if, The Traditional switch), Iteration Statements (while, do-while, for, The For-Each Version of the for Loop, Local Variable Type Inference in a for Loop, Nested Loops), Jump Statements (Using break, Using continue, return). An Overview of Java; Data Types, Variables and Arrays; Operators; Control Statements. Introducing Classes; Methods and Classes. Inheritance; Interfaces. Packages; Exceptions. Multithreaded Programming; Enumerations, Type Wrappers and Autoboxing.
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Programme: B E (CSE)
Semester: 3
Course Code: BCS306A
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2022 Scheme of VTU
An Overview of Java: Object-Oriented Programming (Two Paradigms, Abstraction, The Three OOP Principles), Using Blocks of Code, Lexical Issues (Whitespace, Identifiers, Literals, CommAents, Separators, The Java Keywords).
Data Types, Variables, and Arrays: The Primitive Types (Integers, Floating-Point Types, Characters, Booleans), Variables, Type Conversion and Casting, Automatic Type Promotion in Expressions, Arrays, Introducing Type Inference with Local Variables.
Operators: Arithmetic Operators, Relational Operators, Boolean Logical Operators, The Assignment Operator, The ? Operator, Operator Precedence, Using Parentheses.
Control Statements: Java’s Selection Statements (if, The Traditional switch), Iteration Statements (while, do-while, for, The For-Each Version of the for Loop, Local Variable Type Inference in a for Loop, Nested Loops), Jump Statements (Using break, Using continue, return).
An Overview of Java; Data Types, Variables and Arrays; Operators; Control Statements.
Introducing Classes; Methods and Classes.
Inheritance; Interfaces.
Packages; Exceptions.
Multithreaded Programming; Enumerations, Type Wrappers and Autoboxing.
Data Types, Variables, and Arrays in JAVA
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Module-1, Chapter-2
Data Types, Variables, and Arrays
Programme: B E (CSE)
Semester: 3
Course Code: BCS306A
Course Instructor: Demian Antony Dmello
2022 Scheme of VTU
An Overview of Java: Object-Oriented Programming (Two Paradigms, Abstraction, The Three OOP Principles), Using Blocks of Code, Lexical Issues (Whitespace, Identifiers, Literals, Comments, Separators, The Java Keywords).
Data Types, Variables, and Arrays: The Primitive Types (Integers, Floating-Point Types, Characters, Booleans), Variables, Type Conversion and Casting, Automatic Type Promotion in Expressions, Arrays, Introducing Type Inference with Local Variables.
Operators: Arithmetic Operators, Relational Operators, Boolean Logical Operators, The Assignment Operator, The ? Operator, Operator Precedence, Using Parentheses.
Control Statements: Java’s Selection Statements (if, The Traditional switch), Iteration Statements (while, do-while, for, The For-Each Version of the for Loop, Local Variable Type Inference in a for Loop, Nested Loops), Jump Statements (Using break, Using continue, return).
An Overview of Java; Data Types, Variables and Arrays; Operators; Control Statements.
Introducing Classes; Methods and Classes.
Inheritance; Interfaces.
Packages; Exceptions.
Multithreaded Programming; Enumerations, Type Wrappers and Autoboxing.
Object Oriented Programming with JAVA
Object Oriented Programming with JAVADemian Antony DMello Lecture Notes
Module-1, Chapter-1
An Overview of Java
Programme: B E (CSE)
Semester: 3
Course Code: BCS306A
Course Instructor: Demian Antony Dmello
2022 Scheme of VTU
An Overview of Java: Object-Oriented Programming (Two Paradigms, Abstraction, The Three OOP Principles), Using Blocks of Code, Lexical Issues (Whitespace, Identifiers, Literals, Comments, Separators, The Java Keywords).
Data Types, Variables, and Arrays: The Primitive Types (Integers, Floating-Point Types, Characters, Booleans), Variables, Type Conversion and Casting, Automatic Type Promotion in Expressions, Arrays, Introducing Type Inference with Local Variables.
Operators: Arithmetic Operators, Relational Operators, Boolean Logical Operators, The Assignment Operator, The ? Operator, Operator Precedence, Using Parentheses.
Control Statements: Java’s Selection Statements (if, The Traditional switch), Iteration Statements (while, do-while, for, The For-Each Version of the for Loop, Local Variable Type Inference in a for Loop, Nested Loops), Jump Statements (Using break, Using continue, return).
An Overview of Java; Data Types, Variables and Arrays; Operators; Control Statements.
Introducing Classes; Methods and Classes.
Inheritance; Interfaces.
Packages; Exceptions.
Multithreaded Programming; Enumerations, Type Wrappers and Autoboxing.
Textbook
Java: The Complete Reference, Twelfth Edition, by Herbert Schildt, November 2021, McGraw-Hill, ISBN: 9781260463422
References:
Programming with Java, 6th Edition, by E Balagurusamy, Mar-2019, McGraw Hill Education, ISBN: 9789353162337
Thinking in Java, Fourth Edition, by Bruce Eckel, Prentice Hall, 2006 (https://sd.blackball.lv/library/thinking_in_java_4th_edition.pdf)
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Introducing Classes: Class Fundamentals, Declaring Objects, Assigning Object Reference Variables, Introducing Methods, Constructors, The this Keyword, Garbage Collection.
Methods and Classes: Overloading Methods, Objects as Parameters, Argument Passing, Returning Objects, Recursion, Access Control, Understanding static, Introducing final, Introducing Nested and Inner Classes.
Methods and Classes in JAVA
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Module-2, Chapter-2
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Methods and Classes: Overloading Methods, Objects as Parameters, Argument Passing, Returning Objects, Recursion, Access Control, Understanding static, Introducing final, Introducing Nested and Inner Classes.
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Inheritance in JAVADemian Antony DMello Lecture Notes
Module-3, Chapter-1
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Inheritance: Inheritance Basics, Using super, Creating a Multilevel Hierarchy, When Constructors Are Executed, Method Overriding, Dynamic Method Dispatch, Using Abstract Classes, Using final with Inheritance, Local Variable Type Inference and Inheritance, The Object Class.
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Bowman’s Capsule: Filtrate begins iso-osmotic to plasma (~300 mOsm/L).
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Strength of materials (Thermal stress and strain relationships)pelumiadigun2006 Understand thermal stress and strain relationships in normal objects and composite bodies
Research_Sensitization_&_Innovative_Project_Development.pptx
Research_Sensitization_&_Innovative_Project_Development.pptxniranjancse This presentation highlights project development using software development life cycle (SDLC) with a major focus on incorporating research in the design phase to develop innovative solution. Some case-studies are also highlighted which makes the reader to understand the different phases with practical examples.
A Comprehensive Investigation into the Accuracy of Soft Computing Tools for D...
A Comprehensive Investigation into the Accuracy of Soft Computing Tools for D...Journal of Soft Computing in Civil Engineering This study will provide the audience with an understanding of the capabilities of soft tools such as Artificial Neural Networks (ANN), Support Vector Regression (SVR), Model Trees (MT), and Multi-Gene Genetic Programming (MGGP) as a statistical downscaling tool. Many projects are underway around the world to downscale the data from Global Climate Models (GCM). The majority of the statistical tools have a lengthy downscaling pipeline to follow. To improve its accuracy, the GCM data is re-gridded according to the grid points of the observed data, standardized, and, sometimes, bias-removal is required. The current work suggests that future precipitation can be predicted by using precipitation data from the nearest four grid points as input to soft tools and observed precipitation as output. This research aims to estimate precipitation trends in the near future (2021-2050), using 5 GCMs, for Pune, in the state of Maharashtra, India. The findings indicate that each one of the soft tools can model the precipitation with excellent accuracy as compared to the traditional method of Distribution Based Scaling (DBS). The results show that ANN models appear to give the best results, followed by MT, then MGGP, and finally SVR. This work is one of a kind in that it provides insights into the changing monsoon season in Pune. The anticipated average precipitation levels depict a rise of 300–500% in January, along with increases of 200-300% in February and March, and a 100-150% increase for April and December. In contrast, rainfall appears to be decreasing by 20-30% between June and September.
11th International Conference on Data Mining (DaMi 2025)
11th International Conference on Data Mining (DaMi 2025)kjim477n Welcome To DAMI 2025
Submit Your Research Articles...!!!
11th International Conference on Data Mining (DaMi 2025)
July 26 ~ 27, 2025, London, United Kingdom
Submission Deadline : June 07, 2025
Paper Submission : https://csit2025.org/submission/index.php
Contact Us : Here's where you can reach us : [email protected] or [email protected]
For more details visit : Webpage : https://csit2025.org/dami/index
Semi-Conductor ppt ShubhamSeSemi-Con.pptx
Semi-Conductor ppt ShubhamSeSemi-Con.pptxstudyshubham18 semi conductor basics; types of semi conductor and its properties
A DECISION SUPPORT SYSTEM FOR ESTIMATING COST OF SOFTWARE PROJECTS USING A HY...
A DECISION SUPPORT SYSTEM FOR ESTIMATING COST OF SOFTWARE PROJECTS USING A HY...ijfcstjournal One of the major challenges for software, nowadays, is software cost estimation. It refers to estimating the
cost of all activities including software development, design, supervision, maintenance and so on. Accurate
cost-estimation of software projects optimizes the internal and external processes, staff works, efforts and
the overheads to be coordinated with one another. In the management software projects, estimation must
be taken into account so that reduces costs, timing and possible risks to avoid project failure. In this paper,
a decision- support system using a combination of multi-layer artificial neural network and decision tree is
proposed to estimate the cost of software projects. In the model included into the proposed system,
normalizing factors, which is vital in evaluating efforts and costs estimation, is carried out using C4.5
decision tree. Moreover, testing and training factors are done by multi-layer artificial neural network and
the most optimal values are allocated to them. The experimental results and evaluations on Dataset
NASA60 show that the proposed system has less amount of the total average relative error compared with
COCOMO model.
Introduction to AI agent development with MCP
Introduction to AI agent development with MCPDori Waldman Introduction to AI development
with MCP and AI2AI
社内勉強会資料_Chain of Thought .
社内勉強会資料_Chain of Thought .NABLAS株式会社 本資料「To CoT or not to CoT?」では、大規模言語モデルにおけるChain of Thought（CoT）プロンプトの効果について詳しく解説しています。
CoTはあらゆるタスクに効く万能な手法ではなく、特に数学的・論理的・アルゴリズム的な推論を伴う課題で高い効果を発揮することが実験から示されています。
一方で、常識や一般知識を問う問題に対しては効果が限定的であることも明らかになりました。
複雑な問題を段階的に分解・実行する「計画と実行」のプロセスにおいて、CoTの強みが活かされる点も注目ポイントです。
This presentation explores when Chain of Thought (CoT) prompting is truly effective in large language models.
The findings show that CoT significantly improves performance on tasks involving mathematical or logical reasoning, while its impact is limited on general knowledge or commonsense tasks.
Pavement and its types, Application of rigid and Flexible Pavements
Pavement and its types, Application of rigid and Flexible PavementsSakthivel M Pavement and its types, Application of rigid and Flexible Pavements
Top Cite Articles- International Journal on Soft Computing, Artificial Intell...
Top Cite Articles- International Journal on Soft Computing, Artificial Intell...ijscai International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI) is an open access peer-reviewed journal that provides an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence, Soft Computing. The Journal looks for significant contributions to all major fields of the Artificial Intelligence, Soft Computing in theoretical and practical aspects. The aim of the Journal is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.
Impurities of Water and their Significance.pptx
Impurities of Water and their Significance.pptxdhanashree78 Impart Taste, Odour, Colour, and Turbidity to water.
Presence of organic matter or industrial wastes or microorganisms (algae) imparts taste and odour to water.
Presence of suspended and colloidal matter imparts turbidity to water.
A Comprehensive Investigation into the Accuracy of Soft Computing Tools for D...
A Comprehensive Investigation into the Accuracy of Soft Computing Tools for D...Journal of Soft Computing in Civil Engineering
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