Functional Programming
Functional programming, a paradigm that emphasizes declarative programming, pure functions, and limited side effects. Explore the benefits and characteristics of functional programming languages.
0 views • 20 slides
Programming in C: Overview and Constants Explanation
Programming in C is a fundamental introductory guide to the C programming language. It covers the basics of C, including its development history, character set, constants, and rules for constructing constants like integer and real constants. Dr. M. A. JAMAL MOHAMED YASEEN ZUBEIR, an Assistant Profes
1 views • 33 slides
International Collegiate Programming Contest (ICPC) Overview and Rules
The International Collegiate Programming Contest (ICPC) is a prestigious global competition in competitive programming supported by major tech companies like Google and Facebook. Participants tackle logical and mathematical problems by developing efficient algorithms and implementing them in various
5 views • 17 slides
Evaluation of DryadLINQ for Scientific Analyses
DryadLINQ was evaluated for scientific analyses in the context of developing and comparing various scientific applications with similar MapReduce implementations. The study aimed to assess the usability of DryadLINQ, create scientific applications utilizing it, and analyze their performance against
0 views • 20 slides
Understanding Apache Spark: Fast, Interactive, Cluster Computing
Apache Spark, developed by Matei Zaharia and team at UC Berkeley, aims to enhance cluster computing by supporting iterative algorithms, interactive data mining, and programmability through integration with Scala. The motivation behind Spark's Resilient Distributed Datasets (RDDs) is to efficiently r
0 views • 41 slides
Understanding Logic Programming and AI Principles
This course focuses on logic programming principles applied to AI problems. Topics include Prolog programming, backtracking, recursive rule definition, built-in predicates, lists manipulation, and advanced techniques. Declarative languages like Prolog differ from procedural languages by describing p
0 views • 26 slides
Decision Analysis and Operations Research in Management
This content delves into Management Decision Analysis and Operations Research techniques such as Linear Programming, Integer Linear Programming, Dynamic Programming, Nonlinear Programming, and Network Programming. It covers the phases of an Operations Research study, mathematical modeling for decisi
0 views • 36 slides
Introduction to Amity School of Engineering & Technology
Amity School of Engineering & Technology offers courses in .NET Framework, Windows GUI development, C/C++ programming, Visual Basic, and Java/J2EE programming. The curriculum covers topics such as Win32 API, MFC, object-oriented programming, and web development. Students learn to develop application
1 views • 14 slides
Understanding Programming Languages and Translators in Computational Thinking
Programming languages are categorized into generations, from low-level machine code to high-level languages. Translators like assemblers, compilers, and interpreters help convert code for computer execution. Each generation has its characteristics and purposes, affecting ease of programming, debuggi
1 views • 18 slides
Understanding Linear Programming: An Introduction to Optimization
Linear programming, introduced by mathematician George B. Dantzig in 1947, is a mathematical technique for optimizing resource allocation in a systematic manner. It involves formulating linear relationships among variables to achieve desired results like cost minimization or profit maximization. Lin
1 views • 60 slides
Module 2: PSEA and Safe Programming Training of Trainers (ToT) by CRS HRD
This Module 2 focuses on PSEA and Safe Programming, covering key sessions on understanding safe programming, identifying protection and SEA risks, and mitigating risks. It emphasizes the importance of safe programming in increasing safety, dignity, and access, with staff playing a crucial role. Part
2 views • 19 slides
Understanding MapReduce and Hadoop: Processing Big Data Efficiently
MapReduce is a powerful model for processing massive amounts of data in parallel through distributed systems like Apache Hadoop. This technology, popularized by Google, enables automatic parallelization and fault tolerance, allowing for efficient data processing at scale. Learn about the motivation
2 views • 33 slides
Understanding Computer Programming: Basics and Beyond
In this chapter, we delve into the fundamental concepts of computer programming. We explore the definition of a program, the role of programming languages, types of programming languages, and generations of programming languages. Additionally, an assignment is provided to reinforce the key learnings
0 views • 25 slides
Understanding Object-Oriented Programming (OOP) in Python
Python is a versatile programming language that supports various programming approaches. Object-Oriented Programming (OOP) is a popular method in Python where objects are created to solve programming problems. OOP in Python focuses on creating reusable code, following the principle of DRY (Don't Rep
0 views • 35 slides
Introduction to Computers and C++ Programming Lecture 1 - Overview and Basics
This lecture covers the fundamental concepts in computer systems and programming using C++. Topics include the main components of a computer, bytes and addresses in memory, computer systems hardware and software, understanding programs, programming languages, compilers, preparing and running C++ pro
1 views • 21 slides
Understanding MapReduce for Large Data Processing
MapReduce is a system designed for distributed processing of large datasets, providing automatic parallelization, fault tolerance, and clean abstraction for programmers. It allows for easy writing of distributed programs with built-in reliability on large clusters. Despite its popularity in the late
0 views • 52 slides
Understanding MapReduce in Distributed Systems
MapReduce is a powerful paradigm that enables distributed processing of large datasets by dividing the workload among multiple machines. It tackles challenges such as scaling, fault tolerance, and parallel processing efficiently. Through a series of operations involving mappers and reducers, MapRedu
7 views • 32 slides
Web Application Development and Programming CTE Program Overview
Viera High School offers a comprehensive CTE program in Web Application Development and Programming, taught by Mr. Dohmen. Students learn popular programming languages like Python, SQL, JavaScript, Java, C#, and C. The courses cover web programming, JavaScripting, and PHP programming, providing cert
1 views • 7 slides
Introduction to Programming with RobotC in Robotics Education
Programming in robotics involves giving specific directions to a robot using software like RobotC. This introduction covers the basics of programming, software organization, and how to get started with RobotC through creating flow charts and programming tasks. Learn about setting up RobotC, creating
0 views • 8 slides
Introduction to Programming and Computer Instructions
Programming is the process of creating instructions for computers to follow and accomplish tasks. It involves turning human language instructions into detailed binary machine language. Before learning programming, individuals may have different levels of experience, ranging from no experience to pro
0 views • 16 slides
Development of Attosecond Theory for Nobel Prize through Verilog Programming
Attosecond generation is a crucial technique for creating attosecond pulses by manipulating radiation waves. This research paper focuses on developing the Attosecond generation equation through Verilog programming and validating it using test programming techniques. The interface between equations,
0 views • 15 slides
Cloud-based Geospatial Query Processing Using MapReduce and Voronoi Diagrams
This research paper presents a cloud-based approach for processing geospatial queries efficiently using MapReduce and Voronoi diagrams. The motivation behind the study, related works in the field, preliminary concepts of MapReduce, Voronoi diagram creation, query types, performance evaluation, and f
0 views • 30 slides
Introduction to Apache Pig: A High-level Overview
Apache Pig is a data flow language developed by Yahoo! and is a top-level Apache project that enables non-Java programmers to access and analyze data on a cluster. It interprets Pig Latin commands to generate MapReduce jobs, simplifying data summarization, reporting, and querying tasks. Pig operates
0 views • 57 slides
Understanding MapReduce System and Theory in CS 345D
Explore the fundamentals of MapReduce in this informative presentation that covers the history, challenges, and benefits of distributed systems like MapReduce/Hadoop, Pig, and Hive. Learn about the lower bounding communication cost model and how it optimizes algorithm for joins on MapReduce. Discove
0 views • 60 slides
CS252 Systems Programming Course Overview
This course overview covers topics such as C programming review, Unix basics, Unix systems programming, and grading details. The course includes labs on C/C++ programming, Unix shell scripting, and writing your own shell. Communication is emphasized through Piazza for questions/answers and Blackboar
0 views • 41 slides
Introduction to Programming Languages and Functional Programming with OCaml
Welcome to Lecture 1 of CSEP505 on Programming Languages focusing on OCaml and functional programming. Professor Dan Grossman introduces the course, discusses the importance of studying programming languages, and shares insights on course mechanics and content. Topics include staff introductions, co
0 views • 84 slides
Understanding ITM352 and Its Role in MIS
Welcome to ITM352, a course focusing on acquiring basic programming skills in a business context. This course emphasizes hands-on experience in developing relevant software applications, addressing real technology problems, and fostering rapid self-learning of IS/IT technologies. Misconceptions arou
0 views • 36 slides
Understanding Functional Programming Paradigm
Functional programming emphasizes well-structured software that is easy to write and debug, with reusable modules to reduce future programming costs. It introduces higher-order functions and first-class function values, fostering declarative programming for tasks like symbolic data manipulation and
0 views • 21 slides
Introduction to Map Reduce Paradigm in Data Science
Explore the MapReduce paradigm in data science through examples, discussions on when to use it, and implementation details. Understand how MapReduce is utilized for processing and generating big data sets efficiently.
0 views • 52 slides
Introduction to MapReduce Paradigm in Data Science
Today's lesson covered the MapReduce paradigm in data science, discussing its principles, use cases, and implementation. MapReduce is a programming model for processing big data sets in a parallel and distributed manner. The session included examples, such as WordCount, and highlighted when to use M
0 views • 48 slides
Essential Principles of Teaching Programming Languages
Foundational concepts in programming form the core of computing. This encompasses understanding programming fundamentals, teaching language aspects effectively, statistical programming for data analysis, and guiding students unfamiliar with programming environments towards grasping the logic and sim
0 views • 23 slides
Exploring Computer Programming Principles
Dive into the world of computer programming, covering high-level and machine languages, compilers, interpreters, writing programs, top-down design, and the array of programming languages available. Understand the essentials of building code to control computers, the diversity of programming language
0 views • 23 slides
Data Processing and MapReduce: Concepts and Applications
Exploring concepts of big data processing, data-parallel computation, fault tolerance in MapReduce, generality vs. specialization in systems, and the efficiency of MapReduce for large computations such as web indexing. Understand the role of synchronization barriers, handling partial aggregation, an
0 views • 60 slides
Preliminary Steps in Setting Up a Hadoop Environment
Logging into the VM, changing passwords, transferring files to Hadoop, setting up Rstudio for MapReduce programming, and running the first MapReduce program are essential preliminary steps in establishing a Hadoop environment for data processing tasks.
0 views • 13 slides
Introduction to MapReduce: Efficient Data Processing Technique
Modern data-mining applications require managing immense amounts of data quickly, leveraging parallelism in computing clusters. MapReduce, a programming technique, enables efficient large-scale data calculations on computing clusters, reducing costs compared to special-purpose machines. MapReduce is
0 views • 72 slides
MapReduce Method for Malware Detection in Parallel Systems
This paper presents a system call analysis method using MapReduce for malware detection at the IEEE 17th International Conference on Parallel and Distributed Systems. It discusses detecting malware behavior, evaluation techniques, categories of malware, and approaches like signature-based and behavi
0 views • 22 slides
CS 288-102 Intensive Programming in Linux Spring 2017 Course Details
Learn Linux programming, C language proficiency, Bash scripting, and more in this intensive course taught by Instructor C.F. Yurkoski. The course covers programming in Linux environment, command line interface, C language, client/server programming, and essential programming concepts like pointers,
0 views • 31 slides
Distributed Machine Learning and Graph Processing Overview
Big Data encompasses vast amounts of data from sources like Flickr, Facebook, and YouTube, requiring efficient processing systems. This lecture explores the shift towards using high-level parallel abstractions, such as MapReduce and Hadoop, to design and implement Big Learning systems. Data-parallel
0 views • 61 slides
Fault-Tolerant MapReduce-MPI for HPC Clusters: Enhancing Fault Tolerance in High-Performance Computing
This research discusses the design and implementation of FT-MRMPI for HPC clusters, focusing on fault tolerance and reliability in MapReduce applications. It addresses challenges, presents the fault tolerance model, and highlights the differences in fault tolerance between MapReduce and MPI. The stu
0 views • 25 slides
Understanding MapReduce: A Real-World Analogy
MapReduce is a programming model used to process and generate large data sets with parallel and distributed algorithms. In this analogy, the process of depositing, categorizing, and counting coins using a machine illustrates how MapReduce works, where mappers categorize coins and reducers count them
0 views • 43 slides