The document discusses functional programming concepts that can be applied to the C programming language. It covers topics like first-class functions using function pointers, higher-order functions, pure functions, recursion, and immutability using the const keyword. The document emphasizes that while C is not a purely functional language, applying functional programming principles can help make code more modular, reusable, predictable and less error-prone.
The document describes key components of software design including data design, architectural design, interface design, and procedural design. It discusses the goals of the design process which are to implement requirements, create an understandable guide for code generation and testing, and address implementation from data, functional, and behavioral perspectives. The document also covers concepts like abstraction, refinement, modularity, program structure, data structures, software procedures, information hiding, and cohesion and coupling.
The document presents a technique for automatically restructuring functions with low cohesion into functions with higher cohesion. It does this by partitioning the output variables of a function based on their pairwise cohesion, as measured by rules that encode principles of cohesion discovered by previous research. Program slicing is then used to identify statements computing each variable group, and new functions are created from these slices to replace the original function. The technique aims to decompose functions into natural units of activity, as a human programmer would, in order to improve understandability and maintainability.
This document provides an overview of software design concepts and best practices. It discusses that software design transforms user requirements into a suitable form for programming and implementation. The key aspects covered include architectural design using structural, framework and dynamic models. It also discusses modularization which divides a software system into independent modules. Other design tools discussed are design structure charts, pseudocode, flowcharts, and the importance of low coupling between modules and high cohesion within modules.
This document discusses object-oriented programming (OOP). It begins by explaining the software crisis and issues like productivity, quality and managing schedules that OOP aims to address. It then covers procedural programming and its limitations. The key concepts of OOP like objects, classes, encapsulation, inheritance and polymorphism are explained. Popular OOP languages support these concepts to different degrees. Finally, the benefits of OOP like code reuse, modularity and managing complexity are highlighted.
Building a performing Machine Learning model from A to ZCharles Vestur
A 1-hour read to become highly knowledgeable about Machine learning and the machinery underneath, from scratch!
A presentation introducing to all fundamental concepts of Machine Learning step by step, following a classical approach to build a performing model. Simple examples and illustrations are used all along the presentation to make the concepts easier to grasp.
The document discusses functional programming concepts that can be applied to the C programming language. It covers topics like first-class functions using function pointers, higher-order functions, pure functions, recursion, and immutability using the const keyword. The document emphasizes that while C is not a purely functional language, applying functional programming principles can help make code more modular, reusable, predictable and less error-prone.
The document describes key components of software design including data design, architectural design, interface design, and procedural design. It discusses the goals of the design process which are to implement requirements, create an understandable guide for code generation and testing, and address implementation from data, functional, and behavioral perspectives. The document also covers concepts like abstraction, refinement, modularity, program structure, data structures, software procedures, information hiding, and cohesion and coupling.
The document presents a technique for automatically restructuring functions with low cohesion into functions with higher cohesion. It does this by partitioning the output variables of a function based on their pairwise cohesion, as measured by rules that encode principles of cohesion discovered by previous research. Program slicing is then used to identify statements computing each variable group, and new functions are created from these slices to replace the original function. The technique aims to decompose functions into natural units of activity, as a human programmer would, in order to improve understandability and maintainability.
This document provides an overview of software design concepts and best practices. It discusses that software design transforms user requirements into a suitable form for programming and implementation. The key aspects covered include architectural design using structural, framework and dynamic models. It also discusses modularization which divides a software system into independent modules. Other design tools discussed are design structure charts, pseudocode, flowcharts, and the importance of low coupling between modules and high cohesion within modules.
This document discusses object-oriented programming (OOP). It begins by explaining the software crisis and issues like productivity, quality and managing schedules that OOP aims to address. It then covers procedural programming and its limitations. The key concepts of OOP like objects, classes, encapsulation, inheritance and polymorphism are explained. Popular OOP languages support these concepts to different degrees. Finally, the benefits of OOP like code reuse, modularity and managing complexity are highlighted.
Building a performing Machine Learning model from A to ZCharles Vestur
A 1-hour read to become highly knowledgeable about Machine learning and the machinery underneath, from scratch!
A presentation introducing to all fundamental concepts of Machine Learning step by step, following a classical approach to build a performing model. Simple examples and illustrations are used all along the presentation to make the concepts easier to grasp.
Introduction to object oriented languagefarhan amjad
This document discusses object-oriented programming (OOP) and its advantages over procedural programming. It defines some key OOP concepts like objects, classes, encapsulation, and inheritance. It explains that in OOP, programs are designed as collections of these discrete objects that combine data and behaviors. This reduces complexity and promotes reusability, flexibility, and maintainability. OOP also gives data more importance and provides mechanisms to hide data that procedural languages lack.
The document discusses software design engineering. It describes how the analysis model is translated into a design model through data/class design, architectural design, interface design, and component-level design. It outlines characteristics of good design such as readability, completeness, and exhibiting recognizable architectural styles/patterns. The document also discusses design concepts like abstraction, architecture/patterns, modularity, information hiding, and functional independence. It provides examples of procedural and data abstraction, and the refinement process.
SWE-401 - 6. Software Analysis and Design Toolsghayour abbas
The document discusses several software analysis and design tools used by software designers including:
- Data Flow Diagrams (DFDs) which graphically depict the flow of data in a system. DFDs come in logical and physical types.
- Structure Charts which represent the hierarchical structure and functions of system modules in greater detail than DFDs.
- HIPO Diagrams which decompose system functions hierarchically and depict functions performed without data or control flow.
- Additional tools discussed are Structured English, Pseudo-Code, Decision Tables and Entity-Relationship Models.
This document discusses various techniques for estimating software project costs, schedules, and sizes. It covers function point analysis, lines of code estimation, productivity models like COCOMO, and probabilistic techniques like PERT estimation. Key approaches mentioned include analogies, decomposition, mathematical models, mean schedule dates, and probability distributions.
This document discusses an automatic code generation tool called UJECTOR that can generate executable Java code from UML diagrams, including class diagrams, sequence diagrams, and activity diagrams. It notes the benefits of automatic code generation in reducing errors compared to manual coding. The paper also discusses some related work, including Enterprise Architect, Eclipse UML Generators, Rhapsody, and dCode - other tools that can generate code from UML models. Overall, the document examines challenges in ensuring consistency, accuracy, maintainability and efficiency when automatically generating code from UML models.
This document introduces object-oriented programming (OOP). It discusses the software crisis and need for new approaches like OOP. The key concepts of OOP like objects, classes, encapsulation, inheritance and polymorphism are explained. Benefits of OOP like reusability, extensibility and managing complexity are outlined. Real-time systems, simulation, databases and AI are examples of promising applications of OOP. The document was presented by Prof. Dipak R Raut at International Institute of Information Technology, Pune.
Object Oriented Programming Short Notes for Preperation of ExamsMuhammadTalha436
The document appears to be lecture notes on object-oriented programming using C++. It covers key concepts like classes, objects, encapsulation, inheritance, and polymorphism. It also provides examples of input/output statements, arithmetic operators, assignment operators, and relational operators in C++ code. The document is divided into multiple chapters with topics like classes, inheritance, templates, and exceptions.
This document provides an overview of procedure-oriented programming and object-oriented programming concepts. It discusses the differences between POP and OOPS, with OOPS giving more importance to data and allowing for data encapsulation. The document then introduces Visual Basic 6.0, covering its editions, features, controls, events, and methods. It describes various controls like labels, text boxes, and command buttons. It also explains common events like click and keypress events, and how to write event handlers.
This document provides an overview of object oriented analysis and design using the Unified Modeling Language (UML). It discusses key concepts in object oriented programming like classes, objects, encapsulation, inheritance and polymorphism. It also outlines the software development lifecycle and phases like requirements analysis, design, coding, testing and maintenance. Finally, it introduces UML and explains how use case diagrams can be used to model the user view of a system by defining actors and use cases.
This document discusses data structures and their role in organizing data efficiently for computer programs. It defines key concepts like abstract data types, algorithms, and problems. It also provides examples to illustrate selecting the appropriate data structure based on the operations and constraints of a problem. A banking application is used to demonstrate how hash tables are suitable because they allow extremely fast searching by account numbers while also supporting efficient insertion and deletion. B-trees are shown to be better than hash tables for a city database because they enable fast range queries in addition to exact searches. Overall, the document emphasizes that each data structure has costs and benefits, and a careful analysis is needed to determine the best structure for a given problem.
This document provides an introduction to data structures and algorithms. It defines key concepts such as data structures, abstract data types, abstraction, and algorithms. Data structures are used to organize data in memory to solve problems, while algorithms are the step-by-step processes used to manipulate data structures. Programs consist of both data structures and algorithms. The document also outlines properties that algorithms must have such as being finite, definite, sequential, feasible, correct, independent of language, complete, effective, and having specified input/output.
This resume summarizes Rakeshkumar Nathubhai Chaudhari's work experience and education. He has over 13 years of experience as a computer programmer in India, where he designed and developed systems using Oracle, FoxPro, and COBOL. His projects include payroll, artificial insemination, finance, and sales systems. He has a Bachelor's degree in Computer Engineering and has experience with programming languages like Java, C++, and databases like Oracle. He also completed school projects involving drones, Android applications, and circuit design.
This resume summarizes Rakeshkumar Nathubhai Chaudhari's work experience and education. He has over 13 years of experience as a computer programmer in India, where he designed and developed systems using Oracle, FoxPro, and COBOL. His projects include payroll, artificial insemination, finance, and sales systems. He has a Bachelor's degree in Computer Engineering and has experience with programming languages like Java, C++, and databases like Oracle. He also completed school projects involving drones, Android applications, and circuit design.
Reengineering including reverse & forward EngineeringMuhammad Chaudhry
The document discusses forward engineering and reverse engineering. Reverse engineering involves extracting design information from source code through activities like data and processing analysis. This helps understand the internal structure and functionality. Forward engineering applies modern principles to redevelop existing applications, extending their capabilities. It may involve migrating applications to new architectures like client-server or object-oriented models. Reverse engineering provides critical information for both maintenance and reengineering existing software.
The document discusses the steps involved in program development including defining the problem, outlining the solution, developing an algorithm, testing the algorithm, coding the algorithm, running the program, and documenting the program. It also discusses different approaches to program design such as procedure-driven, event-driven, and data-driven designs. Finally, it introduces algorithms, pseudocode, program data types, and how to write pseudocode using basic computer operations like arithmetic, assignment, comparison, and repetition.
This calculator has been developed by me. It gives high precision results which
Normal calculator can not give. It is helpful in calculations for Space technology,
Supercomputers, Nano technology etc. I can give this calculator to interested people.
The document provides an overview of functional programming in JavaScript. It discusses key functional programming concepts like pure functions, referential transparency, and higher-order functions. It also covers functional techniques like mapping, filtering, reducing, and recursion that are commonly used in functional programming. The document uses examples with Lodash functions to demonstrate how these concepts and techniques can be implemented in JavaScript.
A Metadata-Driven Approach to Computing Financial Analytics in a Relational D...inscit2006
This document discusses building a financial analytics system within a relational database using a metadata-driven approach. It describes representing analytic formulas as metadata in an annotated directed acyclic graph stored as a table. An interpreter is implemented as a special graph traversal algorithm in SQL to efficiently compute multiple analytic formulas for all data at once within the database layer. The paper describes an actual system built at Reuters that computes thousands of formulas per second on a $10,000 computer using this novel breadth-first graph traversal approach.
International Conference on NLP, Artificial Intelligence, Machine Learning an...gerogepatton
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Software Engineering and Project Management - Introduction, Modeling Concepts...Prakhyath Rai
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
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This document discusses various techniques for estimating software project costs, schedules, and sizes. It covers function point analysis, lines of code estimation, productivity models like COCOMO, and probabilistic techniques like PERT estimation. Key approaches mentioned include analogies, decomposition, mathematical models, mean schedule dates, and probability distributions.
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This document provides an overview of procedure-oriented programming and object-oriented programming concepts. It discusses the differences between POP and OOPS, with OOPS giving more importance to data and allowing for data encapsulation. The document then introduces Visual Basic 6.0, covering its editions, features, controls, events, and methods. It describes various controls like labels, text boxes, and command buttons. It also explains common events like click and keypress events, and how to write event handlers.
This document provides an overview of object oriented analysis and design using the Unified Modeling Language (UML). It discusses key concepts in object oriented programming like classes, objects, encapsulation, inheritance and polymorphism. It also outlines the software development lifecycle and phases like requirements analysis, design, coding, testing and maintenance. Finally, it introduces UML and explains how use case diagrams can be used to model the user view of a system by defining actors and use cases.
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#Prerequisites:
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- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
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3. A function is a special type of
relation where each input only has
one output.
Functions are a way of connecting
inp
ut values to their corresponding
output values.
The relation is a function if, for every
x-value, there is exactly one y-
value.
WHAT IS A FUNCTION?
4. Functions are a way of connecting inp
ut
values to their corresponding output values.
Example:
Ordering a coffee for $5
Pay $5, and you get 1 coffee.
Pay $10, and you'll get 2 coffees, and so
on.
The input affects the output in a predictable way.
WHAT IS A FUNCTION?
6. One-to-one Function. (Injective)
Many-to-one Function.
Onto Function (Surjective)
Into Function, etc
TYPES OF FUNCTION
One-one Correspondent Function
There are many types of functions....
7. REAL LIFE APPLICATION OF FUNCTION
Functions uses in almost everything in daily life..
of them some of are.........
Physics Digital
Photography
Environmental
science
Medicine Engineering
Computer Science
9. Example:
Inputs: The input to the function is the temperature
value in one scale (Celsius or Fahrenheit).
Outputs: The output of the function is the
temperature value in the other scale.
TEMPERATURE CONVERSION
AS A FUNCTION
In discrete mathematics, a function is a rule that assigns exactly one
output to each input. Temperature conversion between Celsius and
Fahrenheit can be modeled as a function.
10. Example:
f(°C) = (9/5) × °C + 32 (converts Celsius to
Fahrenheit)
f(°F) = (5/9) × (°F - 32) (converts Fahrenheit to
Celsius)
FUNCTION FORMULAS:
The formulas we saw earlier for temperature conversion can be
expressed mathematically as functions:
By applying functions, we can solve temperature conversion
problems in a structured and efficient manner, which aligns with
the principles of discrete mathematics.
12. Digital photography involves the use of
functions in several aspects of the process,
from capturing images to editing and
printing.
Image Capture: Functions govern exposure, aperture, and
shutter speed relationships.
1.
Image Processing: Functions adjust brightness, contrast, color
balance, and sharpness.
2.
Image Compression: Functions reduce file size while maintaining
image quality.
3.
Digital Printing: Functions translate digital color values into
physical output.
4.
Image Analysis: Functions detect patterns, identify objects, and
measure distances.
5.
Image Recognition: Functions classify objects based on learned
patterns and features.
6.
DIGITAL
PHOTOGRAPHY
13. Functions make internet data usage easier by tracking, limiting, predicting,
costing, controlling speed, and optimizing performance.
Tracking: Functions track data use, helping manage plans.
1.
Limits: Functions enforce caps to control usage.
2.
Sharing: Functions divvy up bandwidth for smooth performance.
3.
Prediction: Functions foresee future needs, aiding planning.
4.
Cost: Functions calculate costs based on usage.
5.
Throttling: Functions slow excess usage, avoiding congestion.
6.
Priority: Functions prioritize traffic for consistent speed.
7.
Efficiency: Functions optimize network for better performance.
8.
INTERNET
DATA USAGE
15. In computer science, functions are crucial tools
used for structuring code, improving readability,
and promoting reusability. Here's how they are
used across various domains:
x
6 8 10 12
ANSWER
KEY
FUNCTIONS IN COMPUTER
SCIENCE:
1. Programming:
Functions encapsulate a set of instructions that can be
executed independently, making code modular and easier
to manage. They help in breaking down complex tasks into
smaller, manageable parts, enhancing code organization
and readability.
16. 2. Algorithms:
Functions play a vital role in implementing algorithms. Algorithms often
involve repetitive tasks or computations, which can be efficiently handled
using functions. By defining functions, algorithmic logic becomes more
structured and easier to comprehend.
3. Database Management:
In database systems, functions are used to encapsulate frequently used
queries or operations. They promote code reuse, reduce redundancy, and
enhance the maintainability of database-related tasks.
18. Functions are extensively used in
engineering for various real-life
applications. Here are a few examples:
Electrical Engineering
Mechanical Engineering
Civil Engineering
FUNCTIONS IN ENGINEERING
Aerospace Engineering
Biomedical Engineering
19. From this presentation we learnt about
What is function, types of function, how
we use function in real life.......
Conclusion