Information Systems: Definitions and Components
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Chapter 1: Introduction What Is an Operating System?
Chapter 1: Introduction What is an Operating System? Mainframe Systems Desktop Systems Multiprocessor Systems Distributed Systems Clustered System Real -Time Systems Handheld Systems Computing Environments Operating System Concepts 1.1 Silberschatz, Galvin and Gagne 2002 What is an Operating System? A program that acts as an intermediary between a user of a computer and the computer hardware. Operating system goals: ) Execute user programs and make solving user problems easier. ) Make the computer system convenient to use. Use the computer hardware in an efficient manner. Operating System Concepts 1.2 Silberschatz, Galvin and Gagne 2002 1 Computer System Components 1. Hardware – provides basic computing resources (CPU, memory, I/O devices). 2. Operating system – controls and coordinates the use of the hardware among the various application programs for the various users. 3. Applications programs – define the ways in which the system resources are used to solve the computing problems of the users (compilers, database systems, video games, business programs). 4. Users (people, machines, other computers). Operating System Concepts 1.3 Silberschatz, Galvin and Gagne 2002 Abstract View of System Components Operating System Concepts 1.4 Silberschatz, Galvin and Gagne 2002 2 Operating System Definitions Resource allocator – manages and allocates resources. Control program – controls the execution of user programs and operations of I/O devices . Kernel – the one program running at all times (all else being application programs). -
Use of Bioinformatics Resources and Tools by Users of Bioinformatics Centers in India Meera Yadav University of Delhi, [email protected]
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 2015 Use of Bioinformatics Resources and Tools by Users of Bioinformatics Centers in India meera yadav University of Delhi, [email protected] Manlunching Tawmbing Saha Institute of Nuclear Physisc, [email protected] Follow this and additional works at: http://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons yadav, meera and Tawmbing, Manlunching, "Use of Bioinformatics Resources and Tools by Users of Bioinformatics Centers in India" (2015). Library Philosophy and Practice (e-journal). 1254. http://digitalcommons.unl.edu/libphilprac/1254 Use of Bioinformatics Resources and Tools by Users of Bioinformatics Centers in India Dr Meera, Manlunching Department of Library and Information Science, University of Delhi, India [email protected], [email protected] Abstract Information plays a vital role in Bioinformatics to achieve the existing Bioinformatics information technologies. Librarians have to identify the information needs, uses and problems faced to meet the needs and requirements of the Bioinformatics users. The paper analyses the response of 315 Bioinformatics users of 15 Bioinformatics centers in India. The papers analyze the data with respect to use of different Bioinformatics databases and tools used by scholars and scientists, areas of major research in Bioinformatics, Major research project, thrust areas of research and use of different resources by the user. The study identifies the various Bioinformatics services and resources used by the Bioinformatics researchers. Keywords: Informaion services, Users, Inforamtion needs, Bioinformatics resources 1. Introduction ‘Needs’ refer to lack of self-sufficiency and also represent gaps in the present knowledge of the users. -
Establishing the Basis for a CIS (Computer Information Systems) Undergraduate Program: on Seeking the Body of Knowledge
Information Systems Education Journal (ISEDJ) 13 (5) ISSN: 1545-679X September 2015 Establishing the Basis for a CIS (Computer Information Systems) Undergraduate Program: On Seeking the Body of Knowledge Herbert E. Longenecker, Jr. [email protected] University of South Alabama Mobile, AL 36688, USA Jeffry Babb [email protected] West Texas A&M University Canyon, TX 79016, USA Leslie J. Waguespack [email protected] Bentley University Waltham, Massachusetts 02452, USA Thomas N. Janicki [email protected] University of North Carolina Wilmington Wilmington, NC 28403, USA David Feinstein [email protected] University of South Alabama Mobile, AL 36688, USA Abstract The evolution of computing education spans a spectrum from computer science (CS) grounded in the theory of computing, to information systems (IS), grounded in the organizational application of data processing. This paper reports on a project focusing on a particular slice of that spectrum commonly labeled as computer information systems (CIS) and reflected in undergraduate academic programs designed to prepare graduates for professions as software developers building systems in government, commercial and not-for-profit enterprises. These programs with varying titles number in the hundreds. This project is an effort to determine if a common knowledge footprint characterizes CIS. If so, an eventual goal would be to describe the proportions of those essential knowledge components and propose guidelines specifically for effective undergraduate CIS curricula. Professional computing societies (ACM, IEEE, AITP (formerly DPMA), etc.) over the past fifty years have sponsored curriculum guidelines for various slices of education that in aggregate offer a compendium of knowledge areas in ©2015 EDSIG (Education Special Interest Group of the AITP) Page 37 www.aitp-edsig.org /www.isedj.org Information Systems Education Journal (ISEDJ) 13 (5) ISSN: 1545-679X September 2015 computing. -
Information Systems Foundations Theory, Representation and Reality
Information Systems Foundations Theory, Representation and Reality Information Systems Foundations Theory, Representation and Reality Dennis N. Hart and Shirley D. Gregor (Editors) Workshop Chair Shirley D. Gregor ANU Program Chairs Dennis N. Hart ANU Shirley D. Gregor ANU Program Committee Bob Colomb University of Queensland Walter Fernandez ANU Steven Fraser ANU Sigi Goode ANU Peter Green University of Queensland Robert Johnston University of Melbourne Sumit Lodhia ANU Mike Metcalfe University of South Australia Graham Pervan Curtin University of Technology Michael Rosemann Queensland University of Technology Graeme Shanks University of Melbourne Tim Turner Australian Defence Force Academy Leoni Warne Defence Science and Technology Organisation David Wilson University of Technology, Sydney Published by ANU E Press The Australian National University Canberra ACT 0200, Australia Email: [email protected] This title is also available online at: http://epress.anu.edu.au/info_systems02_citation.html National Library of Australia Cataloguing-in-Publication entry Information systems foundations : theory, representation and reality Bibliography. ISBN 9781921313134 (pbk.) ISBN 9781921313141 (online) 1. Management information systems–Congresses. 2. Information resources management–Congresses. 658.4038 All rights reserved. No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form or by any means, electronic, mechanical, photocopying or otherwise, without the prior permission of the publisher. Cover design by Brendon McKinley with logo by Michael Gregor Authors’ photographs on back cover: ANU Photography Printed by University Printing Services, ANU This edition © 2007 ANU E Press Table of Contents Preface vii The Papers ix Theory Designing for Mutability in Information Systems Artifacts, Shirley Gregor and Juhani Iivari 3 The Eect of the Application Domain in IS Problem Solving: A Theoretical Analysis, Iris Vessey 25 Towards a Unied Theory of Fit: Task, Technology and Individual, Michael J. -
Information System Owner
DOE CYBERSECURITY: CORE COMPETENCY TRAINING REQUIREMENTS Key Cybersecurity Role: Information System Owner Role Definition: The Information System Owner (also referred to as System Owner) is the individual responsible for the overall procurement, development, integration, modification, operation, maintenance, and retirement of an information system. The System Owner is a key contributor in developing system design specifications to ensure the security and user operational needs are documented, tested, and implemented. Competency Area: Data Security Functional Requirement: Design Competency Definition: Refers to the application of the principles, policies, and procedures necessary to ensure the confidentiality, integrity, availability, and privacy of data in all forms of media (i.e., electronic and hardcopy) throughout the data life cycle. Behavioral Outcome: The System Owner will understand the policies and procedures required to protect all categories of information as well as have a working knowledge of data access controls required to ensure the confidentiality, integrity, and availability of information. He/she will apply this knowledge during all phases of the System Development Life Cycle (SDLC). Training concepts to be addressed at a minimum: Identify and document the appropriate level of protection for data, including use of encryption. Specify data and information classification, sensitivity, and need-to-know requirements by information type on a system in terms of its confidentiality, integrity, and availability. Utilize DOE M 205.1-5 to determine the information impacts for unclassified information and DOE M 205.1-4 to determine the Consequence of Loss for classified information. Create authentication and authorization system for users to gain access to data based on assigned privileges and permissions. -
Personal-Computer Systems • Parallel Systems • Distributed Systems • Real -Time Systems
Module 1: Introduction • What is an operating system? • Simple Batch Systems • Multiprogramming Batched Systems • Time-Sharing Systems • Personal-Computer Systems • Parallel Systems • Distributed Systems • Real -Time Systems Applied Operating System Concepts 1.1 Silberschatz, Galvin, and Gagne Ď 1999 What is an Operating System? • A program that acts as an intermediary between a user of a computer and the computer hardware. • Operating system goals: – Execute user programs and make solving user problems easier. – Make the computer system convenient to use. • Use the computer hardware in an efficient manner. Applied Operating System Concepts 1.2 Silberschatz, Galvin, and Gagne Ď 1999 Computer System Components 1. Hardware – provides basic computing resources (CPU, memory, I/O devices). 2. Operating system – controls and coordinates the use of the hardware among the various application programs for the various users. 3. Applications programs – define the ways in which the system resources are used to solve the computing problems of the users (compilers, database systems, video games, business programs). 4. Users (people, machines, other computers). Applied Operating System Concepts 1.3 Silberschatz, Galvin, and Gagne Ď 1999 Abstract View of System Components Applied Operating System Concepts 1.4 Silberschatz, Galvin, and Gagne Ď 1999 Operating System Definitions • Resource allocator – manages and allocates resources. • Control program – controls the execution of user programs and operations of I/O devices . • Kernel – the one program running at all times (all else being application programs). Applied Operating System Concepts 1.5 Silberschatz, Galvin, and Gagne Ď 1999 Memory Layout for a Simple Batch System Applied Operating System Concepts 1.7 Silberschatz, Galvin, and Gagne Ď 1999 Multiprogrammed Batch Systems Several jobs are kept in main memory at the same time, and the CPU is multiplexed among them. -
Operating System
OPERATING SYSTEM INDEX LESSON 1: INTRODUCTION TO OPERATING SYSTEM LESSON 2: FILE SYSTEM – I LESSON 3: FILE SYSTEM – II LESSON 4: CPU SCHEDULING LESSON 5: MEMORY MANAGEMENT – I LESSON 6: MEMORY MANAGEMENT – II LESSON 7: DISK SCHEDULING LESSON 8: PROCESS MANAGEMENT LESSON 9: DEADLOCKS LESSON 10: CASE STUDY OF UNIX LESSON 11: CASE STUDY OF MS-DOS LESSON 12: CASE STUDY OF MS-WINDOWS NT Lesson No. 1 Intro. to Operating System 1 Lesson Number: 1 Writer: Dr. Rakesh Kumar Introduction to Operating System Vetter: Prof. Dharminder Kr. 1.0 OBJECTIVE The objective of this lesson is to make the students familiar with the basics of operating system. After studying this lesson they will be familiar with: 1. What is an operating system? 2. Important functions performed by an operating system. 3. Different types of operating systems. 1. 1 INTRODUCTION Operating system (OS) is a program or set of programs, which acts as an interface between a user of the computer & the computer hardware. The main purpose of an OS is to provide an environment in which we can execute programs. The main goals of the OS are (i) To make the computer system convenient to use, (ii) To make the use of computer hardware in efficient way. Operating System is system software, which may be viewed as collection of software consisting of procedures for operating the computer & providing an environment for execution of programs. It’s an interface between user & computer. So an OS makes everything in the computer to work together smoothly & efficiently. Figure 1: The relationship between application & system software Lesson No. -
Information System Development Using Augmented Reality Tools*
Information system development using augmented reality tools* Grigorev Rostislav Aleksandrovich Valijanov Bahrom Adhamdzon-ugli Kazan Federal University Kazan Federal University Kazan, Russia Kazan, Russia [email protected] [email protected] Medvedeva Olga Anatolievna Mustafina Svetlana Anatol’evna Kazan Federal University Bashkir State University Kazan, Russia Ufa, Russia [email protected] [email protected] Abstract This work is devoted to the issues of visualization and information processing, in particular, to improving the visualization of 3D objects using augmented reality technology. The concept of augmented reality offers a more advanced user interface for visualization due to a combination of natural ways to control the change of angle of an object and visualization in a real context. In the process of performing the work, computer graphics, algorithms, and modeling methods were used. The experimental part of the work was carried out using a set of development tools for tracking Vuforia and Unity development tools. Introduction Augmented reality (AR) is an interactive experience of a real-world environment where the objects that reside in the real world are enhanced by computer-generated perceptual information, sometimes across multiple sensory modalities, including visual, auditory, haptic, somatosensory and olfactory. AR can be defined as a system that fulfills three basic features: a combination of real and virtual worlds, real-time interaction, and accurate 3D registration of virtual and real objects. The overlaid sensory information can be constructive (i.e. additive to the natural environment), or destructive (i.e. masking of the natural environment). This experience is seamlessly interwoven with the physical world such that it is perceived as an immersive aspect of the real environment. -
Introduction to Bioinformatics (Elective) – SBB1609
SCHOOL OF BIO AND CHEMICAL ENGINEERING DEPARTMENT OF BIOTECHNOLOGY Unit 1 – Introduction to Bioinformatics (Elective) – SBB1609 1 I HISTORY OF BIOINFORMATICS Bioinformatics is an interdisciplinary field that develops methods and software tools for understanding biologicaldata. As an interdisciplinary field of science, bioinformatics combines computer science, statistics, mathematics, and engineering to analyze and interpret biological data. Bioinformatics has been used for in silico analyses of biological queries using mathematical and statistical techniques. Bioinformatics derives knowledge from computer analysis of biological data. These can consist of the information stored in the genetic code, but also experimental results from various sources, patient statistics, and scientific literature. Research in bioinformatics includes method development for storage, retrieval, and analysis of the data. Bioinformatics is a rapidly developing branch of biology and is highly interdisciplinary, using techniques and concepts from informatics, statistics, mathematics, chemistry, biochemistry, physics, and linguistics. It has many practical applications in different areas of biology and medicine. Bioinformatics: Research, development, or application of computational tools and approaches for expanding the use of biological, medical, behavioral or health data, including those to acquire, store, organize, archive, analyze, or visualize such data. Computational Biology: The development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of biological, behavioral, and social systems. "Classical" bioinformatics: "The mathematical, statistical and computing methods that aim to solve biological problems using DNA and amino acid sequences and related information.” The National Center for Biotechnology Information (NCBI 2001) defines bioinformatics as: "Bioinformatics is the field of science in which biology, computer science, and information technology merge into a single discipline. -
COSC 6385 Computer Architecture - Multi-Processors (IV) Simultaneous Multi-Threading and Multi-Core Processors Edgar Gabriel Spring 2011
COSC 6385 Computer Architecture - Multi-Processors (IV) Simultaneous multi-threading and multi-core processors Edgar Gabriel Spring 2011 Edgar Gabriel Moore’s Law • Long-term trend on the number of transistor per integrated circuit • Number of transistors double every ~18 month Source: http://en.wikipedia.org/wki/Images:Moores_law.svg COSC 6385 – Computer Architecture Edgar Gabriel 1 What do we do with that many transistors? • Optimizing the execution of a single instruction stream through – Pipelining • Overlap the execution of multiple instructions • Example: all RISC architectures; Intel x86 underneath the hood – Out-of-order execution: • Allow instructions to overtake each other in accordance with code dependencies (RAW, WAW, WAR) • Example: all commercial processors (Intel, AMD, IBM, SUN) – Branch prediction and speculative execution: • Reduce the number of stall cycles due to unresolved branches • Example: (nearly) all commercial processors COSC 6385 – Computer Architecture Edgar Gabriel What do we do with that many transistors? (II) – Multi-issue processors: • Allow multiple instructions to start execution per clock cycle • Superscalar (Intel x86, AMD, …) vs. VLIW architectures – VLIW/EPIC architectures: • Allow compilers to indicate independent instructions per issue packet • Example: Intel Itanium series – Vector units: • Allow for the efficient expression and execution of vector operations • Example: SSE, SSE2, SSE3, SSE4 instructions COSC 6385 – Computer Architecture Edgar Gabriel 2 Limitations of optimizing a single instruction -
Bioinformatics: Benefits to Mankind
International Journal of PharmTech Research CODEN (USA): IJPRIF, ISSN: 0974-4304 Vol.9, No.4, pp 242-248, 2016 Bioinformatics: Benefits to Mankind Himanshu Singh* Dept. of Biotechnology, Lovely Professional University, Phagwara, India Abstract: The storage and analysis of biological data using certain algorithms and computer softwares is called bioinformatics. The applications that bioinformatics offer to the civilized world are more than just being a researcher's tool for structural and functional analysis. Development and implementation of computational algorithms and software tools facilitate an understanding of the biological processes with the goal to serve primarily agriculture and pharmaceutical sectors. In this paper, we highlight the role of bioinformatics in health care, drug discovery, forensic analysis, crop improvement, food analysis and biodiversity management. Some ethical issues related to bioinformatics research are also covered. Keywords : Bioinformatics, Computational Biology, Drug Discovery, Chemiinformatics. Introduction Bioinformatics is defined as “a scientific discipline that encompasses all aspects of biological information acquisition, processing, storage, distribution, analysis, and interpretation that combines the tools and techniques of mathematics, computer science, and biology with the aim of understanding the biological significance of a variety of data” [1]. Bioinformatics-tools include any products that store, organize, evaluate, integrate, analyse, and/or distribute biological data [2]. Bioinformatics -
Chapter 20: the Linux System
Chapter 20: The Linux System Operating System Concepts – 10th dition Silberschatz, Galvin and Gagne ©2018 Chapter 20: The Linux System Linux History Design Principles Kernel Modules Process Management Scheduling Memory Management File Systems Input and Output Interprocess Communication Network Structure Security Operating System Concepts – 10th dition 20!2 Silberschatz, Galvin and Gagne ©2018 Objectives To explore the history o# the UNIX operating system from hich Linux is derived and the principles upon which Linux’s design is based To examine the Linux process model and illustrate how Linux schedules processes and provides interprocess communication To look at memory management in Linux To explore how Linux implements file systems and manages I/O devices Operating System Concepts – 10th dition 20!" Silberschatz, Galvin and Gagne ©2018 History Linux is a modern, free operating system (ased on $NIX standards First developed as a small (ut sel#-contained kernel in -.91 by Linus Torvalds, with the major design goal o# UNIX compatibility, released as open source Its history has (een one o# collaboration by many users from all around the orld, corresponding almost exclusively over the Internet It has been designed to run efficiently and reliably on common PC hardware, but also runs on a variety of other platforms The core Linux operating system kernel is entirely original, but it can run much existing free UNIX soft are, resulting in an entire UNIX-compatible operating system free from proprietary code Linux system has