Search results “System analysis and modelling”
Chapter 5 Data and Process Modeling Part 1
This video discusses Data and Process Modeling as is pertains to systems analysis and design. This first part covers Data Flow Diagrams, decomposition, leveling, and the symbols used to create them
Views: 12975 Eric Magidson
What is SYSTEM MODEL? What does SYSTEM MODEL mean? SYSTEM MODEL meaning & explanation
What is SYSTEM MODEL? What does SYSTEM MODEL mean? SYSTEM MODEL meaning - SYSTEM MODEL definition - SYSTEM MODEL explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ A system model is the conceptual model as a result of system modeling that describes and represents a system. A system comprises multiple views such as planning, requirement (analysis), design, implementation, deployment, structure, behavior, input data, and output data views. A system model is required to describe and represent all these multiple views. The system model describes and represents the multiple views possibly using two different approaches. The first one is the non-architectural approach and the second one is the architectural approach. The non-architectural approach respectively picks a model for each view. For example, Structured Systems Analysis and Design Method (SSADM), picking the Structure Chart (SC) for structure description and the Data Flow Diagram (DFD) for behavior description, is categorized into the non-architectural approach. The architectural approach, instead of picking many heterogeneous and unrelated models, will use only one single coalescence model. For example, System architecture, using the Architecture Description Language (ADL) for both structure and behavior descriptions, is categorized into the architectural approach.
Views: 3797 The Audiopedia
analysis modeling | software engineering |
analysis modeling for function-oriented and object-oriented software Engineering
Views: 8786 Education 4u
05- What Is System Modeling In Software Engineering In HINDI | What Is System Modeling In HINDI
What Is System Modeling In Software Engineering In HINDI: A System Model represent aspects of a system and its environment. or System modelling is a mean of representing a world view a detailed view of the system using same kind of Graphical Notation. Website: http://www.tutorialsspace.com Instagram https://www.instagram.com/tutorialsspace/ 01- What is Requirement Engineering in software engineering | Requirement Engineering https://youtu.be/pxT4E7quDDg 02- Feasibility Study In Software Engineering In HINDI | Feasibility Study In Software Engineering https://youtu.be/sRKPzRvtx7o 03- Requirement Elicitation And Analysis in Requirement Engineering Phases | Requirement Elicitation https://youtu.be/gcpl8K6xi8o 04- Requirement Validation and Specification in Software Engineering in Requirement Engineering https://youtu.be/RlV1OjvQg0U 05- System Modeling in Software Engineering in hindi | System Modeling | https://youtu.be/h-nPCBuCO1s 06- What is System Simulation in software Engineering | system simulation and modeling https://youtu.be/eekcJuajL5s #SoftwareEngineering, #SoftwareEngineeringLectures, #SoftwareEngineeringLecturesInHindi, #SoftwareEngineeringTutorialsInHindi, #SoftwareEngineeringTutorials,
Views: 11843 tutorialsspace
What is a Complex System?
See the full course: https://systemsacademy.io/courses/complexity-theory/ Twitter: http://bit.ly/2HobMld In this module we will be trying to define what exactly a complex system is, we will firstly talk about systems in general before going on to look at complexity as a product of a number of different parameters. Examples of some definitions for a complex system: "A system comprised of a (usually large) number of (usually strongly) interacting entities, processes, or agents, the understanding of which requires the development, or the use of, new scientific tools, nonlinear models, out-of-equilibrium descriptions and computer simulations." The social scientist Herbert Simons gives us this definition; "A system that can be analyzed into many components having relatively many relations among them, so that the behavior of each component depends on the behavior of others." Jerome Singer tells us that a complex system is; "A system that involves numerous interacting agents whose aggregate behaviors are to be understood. Such aggregate activity is nonlinear, hence it cannot simply be derived from summation of individual components behavior."
Views: 61217 Systems Academy
Systems Analysis Modeling- Event Tables.avi
An event table is an effective model, comparable to UML models, for Systems Analysis. Many events, and as a result, use cases, are generated in event tables
Views: 17791 regreiner
UML Use Case Diagram Tutorial
Learn how to make Use Case Diagrams in this tutorial. Both beginners and intermediate UML diagrammers will find all the necessary training and examples on systems, actors, use cases, and include and extend relationships. UML Use Case Diagrams show a system or application; then they show the people, organizations, or other systems that interact with it; and finally, they show a basic flow of what the system or application does. This tutorial explains the four main characteristics of Use Case Diagrams: systems, actors, use cases, and relationships. A system is whatever you’re developing. It could be a website, a software component, a business process, an app, or any number of other things. You represent a system with a rectangle. The next aspect of Use Case Diagrams are actors. An actor is going to be someone or something that uses our system to achieve a goal, and they're represented by a stick figure. Use Cases are elements that really start to describe what the system does. They're depicted with an oval shape and they represent an action that accomplishes some sort of task within the system. The final element in Use Case Diagrams are relationships, which show how actors and use cases interact with each other. There are different types of relationships (like association, include, extend, and generalization) that are represented by varying types of lines and arrows. —— Learn more and sign up: http://www.lucidchart.com Follow us: Facebook: https://www.facebook.com/lucidchart Twitter: https://twitter.com/lucidchart Instagram: https://www.instagram.com/lucidchart LinkedIn: https://www.linkedin.com/company/lucidsoftware
Views: 639361 Lucidchart
Analyzing and modeling complex and big data | Professor Maria Fasli | TEDxUniversityofEssex
This talk was given at a local TEDx event, produced independently of the TED Conferences. The amount of information that we are creating is increasing at an incredible speed. But how are we going to manage it? Professor Maria Fasli is based in the School of Computer Science and Electronic Engineering at the University of Essex. She obtained her BSc from the Department of Informatics of T.E.I. Thessaloniki (Greece). She received her PhD from the University of Essex in 2000 having worked under the supervision of Ray Turner in axiomatic systems for intelligent agents. She has previously worked in the area of data mining and machine learning. Her current research interests lie in agents and multi-agent systems and in particular formal theories for reasoning agents, group formation and social order as well as the applications of agent technology to e-commerce. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is a program of local, self-organized events that bring people together to share a TED-like experience. At a TEDx event, TEDTalks video and live speakers combine to spark deep discussion and connection in a small group. These local, self-organized events are branded TEDx, where x = independently organized TED event. The TED Conference provides general guidance for the TEDx program, but individual TEDx events are self-organized.* (*Subject to certain rules and regulations)
Views: 139891 TEDx Talks
Lecture - 8 Systems Modelling Overview
Lecture Series on Software Engineering by Prof.N.L. Sarda, Prof. Umesh Bellur,Prof.R.K.Joshi and Prof.Shashi Kelkar, Department of Computer Science & Engineering ,IIT Bombay . For more details on NPTEL visit http://nptel.iitm.ac.in
Views: 68459 nptelhrd
5 System Design and Modeling- Structured System Analysis and Design
http://www.atozsky.com/ https://www.facebook.com/atozsky.computer/ All credits goes to NIELIT, Delhi INDIA
Views: 249 AtoZ COMPUTER
Introduction to System Dynamics Models
What are System Dynamics Models? How do we create them? Do I need to know a programming language? All this and more in this introductory video. Explore more at The Creative Learning Exchange and the Model Mysteries book (www.clexchange.org)
Views: 31054 CLExchange
Software Development Lifecycle in 9 minutes!
This video will cover the SDLC with specific focus on the software quality assurance testing phase. http://www.testaholic.net/understanding-the-software-development-life-cycle
Views: 360245 Testaholic
System Dynamics and Control: Module 4b - Modeling Mechanical Systems Examples
Three examples of modeling mechanical systems are presented employing a Newton's second law type approach (sum of forces, sum of moments). Both translational and rotational examples are presented for mass-spring-damper type systems, in particular.
Views: 41566 Rick Hill
What is DATA MODELING? What does DATA MODELING mean? DATA MODELING meaning & explanation
✪✪✪✪✪ WANT VIDEO LIKE THIS ONE? ORDER IT HERE FROM INDUSTRY EXPERTS - http://bit.ly/2IlNl98 ✪✪✪✪✪ ✪✪✪✪✪ The Audiopedia Android application, INSTALL NOW - https://play.google.com/store/apps/details?id=com.wTheAudiopedia_8069473 ✪✪✪✪✪ What is DATA MODELING? What does DATA MODELING mean? DATA MODELING meaning - DATA MODELING definition - DATA MODELING explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Data modeling in software engineering is the process of creating a data model for an information system by applying formal data modeling techniques. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Therefore, the process of data modeling involves professional data modelers working closely with business stakeholders, as well as potential users of the information system. There are three different types of data models produced while progressing from requirements to the actual database to be used for the information system. The data requirements are initially recorded as a conceptual data model which is essentially a set of technology independent specifications about the data and is used to discuss initial requirements with the business stakeholders. The conceptual model is then translated into a logical data model, which documents structures of the data that can be implemented in databases. Implementation of one conceptual data model may require multiple logical data models. The last step in data modeling is transforming the logical data model to a physical data model that organizes the data into tables, and accounts for access, performance and storage details. Data modeling defines not just data elements, but also their structures and the relationships between them. Data modeling techniques and methodologies are used to model data in a standard, consistent, predictable manner in order to manage it as a resource. The use of data modeling standards is strongly recommended for all projects requiring a standard means of defining and analyzing data within an organization, e.g., using data modeling: - to assist business analysts, programmers, testers, manual writers, IT package selectors, engineers, managers, related organizations and clients to understand and use an agreed semi-formal model the concepts of the organization and how they relate to one another; - to manage data as a resource; - for the integration of information systems; - for designing databases/data warehouses (aka data repositories). Data modeling may be performed during various types of projects and in multiple phases of projects. Data models are progressive; there is no such thing as the final data model for a business or application. Instead a data model should be considered a living document that will change in response to a changing business. The data models should ideally be stored in a repository so that they can be retrieved, expanded, and edited over time. Whitten et al. (2004) determined two types of data modeling: - Strategic data modeling: This is part of the creation of an information systems strategy, which defines an overall vision and architecture for information systems is defined. Information engineering is a methodology that embraces this approach. - Data modeling during systems analysis: In systems analysis logical data models are created as part of the development of new databases. Data modeling is also used as a technique for detailing business requirements for specific databases. It is sometimes called database modeling because a data model is eventually implemented in a database.
Views: 13965 The Audiopedia
Electrical Distribution System Modeling and Analysis in MATLAB and Simulink
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r In this webinar, we demonstrate how MathWorks tools may be used to investigate electrical distribution system operation. The IEEE 123 Node Test Feeder is used to explore the following topics: Create distribution system networks automatically in SimPowerSystems™ from network data stored in text file formats. Perform unbalanced load-flow computations in time-domain simulation through the use of pseudo steady-state modeling. Assess operational risk through monte-carlo simulations. Automate report generation to record the output of simulation studies. Integrate EMT components into a phasor system level simulation. Investigate demand response strategies, such as smart charging of electric vehicles. About the Presenter: Graham Dudgeon, MEng, PhD Graham is the Energy Industry Manager at MathWorks. Before his role as Industry Manager, Graham was a Principal Technical Consultant at MathWorks and has worked with a broad range of customers across multiple industries, primarily in the areas of electrical power systems and power electronic technologies. Before joining MathWorks, Graham worked at the Defence Evaluation and Research Agency (DERA), an agency of the UK Ministry of Defence, in the Flight Management and Control Department, and also as a Senior Research Fellow at the Rolls-Royce University Technology Centre in Electrical Power Systems at the University of Strathclyde.
Views: 21028 MATLAB
MBSE Rhapsody SysML Method #1 - Requirements Analysis and Use Cases
This is 10 minute video that shows a method accelerator plugin developed by MBSE Training and Consulting Ltd to speed up a light-weight SysML method to generate functional requirements from analysis of textual use case using an activity model. The method helper is an open source project developed by Fraser Chadburn. The method makes use of a little known feature in the Rhapsody Gateway for bi-directional synchronization of requirements from Rhapsody to Rational DOORS and is designed as a quick win for people new to MBSE with Rhapsody.
Views: 9329 MBSETraining
UML Class Diagram Tutorial
Learn how to make classes, attributes, and methods in this UML Class Diagram tutorial. There's also in-depth training and examples on inheritance, aggregation, and composition relationships. UML (or Unified Modeling Language) is a software engineering language that was developed to create a standard way of visualizing the design of a system. And UML Class Diagrams describe the structure of a system by showing the system’s classes and how they relate to one another. This tutorial explains several characteristics of class diagrams. Within a class, there are attributes, methods, visibility, and data types. All of these components help identify a class and explain what it does. There are also several different types of relationships that exist within UML Class Diagrams. Inheritance is when a child class (or subclass) takes on all the attributes and methods of the parent class (or superclass). Association is a very basic relationship where there's no dependency. Aggregation is a relationship where the part can exist outside the whole. And finally, Composition is when a part cannot exist outside the whole. A class would be destroyed if the class it's related to is destroyed. Further UML Class Diagram information: https://www.lucidchart.com/pages/uml-class-diagram —— Learn more and sign up: http://www.lucidchart.com Follow us: Facebook: https://www.facebook.com/lucidchart Twitter: https://twitter.com/lucidchart Instagram: https://www.instagram.com/lucidchart LinkedIn: https://www.linkedin.com/company/lucidsoftware —— Credits for Photos with Attribution Requirements Tortoise - by Niccie King - http://bit.ly/2uHaL1G Otter - by Michael Malz - http://bit.ly/2vrVoYt Slow Loris - by David Haring - http://bit.ly/2uiBWxg Creep - by Poorna Kedar - http://bit.ly/2twR4K8 Visitor Center - by McGheiver - http://bit.ly/2uip0Hq Lobby - by cursedthing - http://bit.ly/2twBWw9
Views: 883662 Lucidchart
Systems Analysis Chapter 5
Data and Process Modelling
Views: 100 albertusj
The SIR infectious disease model, preliminary analysis
See http://mathinsight.org/infectious_disease_model_with_immunity for context.
Views: 21238 Duane Nykamp
Introduction to System Dynamics: Overview
MIT 15.871 Introduction to System Dynamics, Fall 2013 View the complete course: http://ocw.mit.edu/15-871F13 Instructor: John Sterman Professor John Sterman introduces system dynamics and talks about the course. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 138098 MIT OpenCourseWare
Environmental Systems
002 - Environmental Systems Water: https://youtu.be/iOOvX0jmhJ4 pH: https://youtu.be/rIvEvwViJGk Biological Molecules: https://youtu.be/PYH63o10iTE In this video Paul Andersen explains how matter and energy are conserved within the Earth's system. Matter is a closed system and Energy is open to the surroundings. In natural systems steady state is maintained through feedback loops but can be be affected by human society. Do you speak another language? Help me translate my videos: http://www.bozemanscience.com/translations/ Music Attribution Intro Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License Outro Title: String Theory Artist: Herman Jolly http://sunsetvalley.bandcamp.com/track/string-theory All of the images are licensed under creative commons and public domain licensing: 2006, Photo by Johntex. English: Man Sitting under Beach Umbrella., February 18, 2006. Johntex. https://commons.wikimedia.org/wiki/File:Man_sitting_under_beach_umbrella.JPG. “Circular Graphic of Business Cycle or Circuit - Free Business Icons.” Flaticon. Accessed August 23, 2015. www.flaticon.com/free-icon/circular-graphic-of-business-cycle-or-circuit_45323. College, OpenStax. English: Illustration from Anatomy & Physiology, Connexions Web Site. http://cnx.org/content/col11496/1.6/, Jun 19, 2013., May 16, 2013. Anatomy & Physiology, Connexions Web site. http://cnx.org/content/col11496/1.6/, Jun 19, 2013. https://commons.wikimedia.org/wiki/File:206_Electron_Shells-01.jpg. DePiep. English: Category Colors according to - Diatomic Nonmetals. See En:wp., August 14, 2013. Own work. https://commons.wikimedia.org/wiki/File:Periodic_table_(polyatomic).svg. DynaBlast. Covalently Bonded Hydrogen and Carbon in a W:molecule of Methane., January 28, 2006. Created with Inkscape. https://commons.wikimedia.org/wiki/File:Covalent.svg. Eastland, Jessie. English: Sunset, Joshua Tree California, USA., July 20, 2012. Own work. https://commons.wikimedia.org/wiki/File:Actual_Sunset.jpg. Ebaychatter0. English: Sport Car, October 3, 2012. Own work. https://commons.wikimedia.org/wiki/File:Orange_sport_car.svg. France, Chad Teer from Coquitlam. Offshore Platform Located in the Gulf of Mexico, Port Location Cd. Del Carmen., October 22, 2004. Flickr.com - image description page. https://commons.wikimedia.org/wiki/File:Gulf_Offshore_Platform.jpg. “Gasoline.” Wikipedia, the Free Encyclopedia, August 19, 2015. https://en.wikipedia.org/w/index.php?title=Gasoline&oldid=676894788. https://github.com/Ranks/emojione/graphs/contributors. English: A Colored Emoji from Emojione Project, [object HTMLTableCellElement]. https://github.com/Ranks/emojione. https://commons.wikimedia.org/wiki/File:Emojione_1F6C1.svg. “James Prescott Joule.” Wikipedia, the Free Encyclopedia, July 29, 2015. https://en.wikipedia.org/w/index.php?title=James_Prescott_Joule&oldid=673687877. Kulenov, Zhanat. English: The Aral Sea Is Drying Up. Bay of Zhalanash, Ship Cemetery, Aralsk, Kazakhstan, April 11, 2006. UNESCO. https://commons.wikimedia.org/wiki/File:The_Aral_sea_is_drying_up._Bay_of_Zhalanash,_Ship_Cemetery,_Aralsk,_Kazakhstan.jpg. “Lake.” Wikipedia, the Free Encyclopedia, August 21, 2015. https://en.wikipedia.org/w/index.php?title=Lake&oldid=677085416. MODIS, NASA images by Reto Stöckli, based on data from NASA and NOAA Instrument: Terra-. Polski: Mozaika Zdjęć Półkuli Zachodniej, Zrzutowana Na Sferę I Poddana Obróbce., October 2, 2007. Earth Observatory: Twin Blue Marbles. https://commons.wikimedia.org/wiki/File:Blue_Marble_Western_Hemisphere.jpg. “Molecular Configuration - Free Education Icons.” Flaticon. Accessed August 22, 2015. www.flaticon.com/free-icon/molecular-configuration_68084. Producercunningham, NASA Collage by. English: A Comparison of the Aral Sea in 1989 (left) and 2014 (right)., September 30, 2014. 1989: aral sea 1989 250m File:Aralsea tmo 2014231 lrg.jpg. https://commons.wikimedia.org/wiki/File:AralSea1989_2014.jpg. “Recycle Reuse - Free Arrows Icons.” Flaticon. Accessed August 22, 2015. www.flaticon.com/free-icon/recycle-reuse_25274. Roscoe, Henry. Picture of James Joule, 1906. The Life & Experiences of Sir Henry Enfield Roscoe (Macmillan: London and New York), p. 120. https://commons.wikimedia.org/wiki/File:Joule_James_sitting.jpg. Wikipedia, The original uploader was Adz at English. Daintree Rainforest. Photo Taken June 2005. Uploaded with Permission., August 13, 2005. Transferred from en.wikipedia to Commons. https://commons.wikimedia.org/wiki/File:Daintree_Rainforest.JPG.
Views: 142088 Bozeman Science
Concept 4 - Systems and System Models
Crosscutting Concept 4: Systems and System Models In this video Paul Andersen explains how systems can be used to understand phenomenon in science and create better designs in engineering. He starts by defining the characteristics of a system and describes how system models can be used to better understand the world. For example a system model of the water cycle can show the cycling of matter on the surface of the Earth. He ends with a progression of instruction for a K-12 science classroom. Intro Music Atribution Title: I4dsong_loop_main.wav Artist: CosmicD Link to sound: http://www.freesound.org/people/CosmicD/sounds/72556/ Creative Commons Atribution License
Views: 20725 Bozeman Science
Analysis and Modelling on a Discrete Global Grid System
Pyxis demonstration of the power of Discrete Global Grid System to perform analysis and modeling on the Arctic.
Views: 249 digital-earth
Mod-01 Lec-27 System modeling and simulation
Principles of Engineering System Design by Dr. T Asokan,Department of Engineering Design,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
Views: 40904 nptelhrd
State Space, Part 1: Introduction to State-Space Equations
Let’s introduce the state-space equations, the model representation of choice for modern control. This video is the first in a series on MIMO control and will provide some intuition around how to think about state variables and why this representation is so powerful. Having a solid foundational knowledge of state space and state variables will help you learn the control techniques built on state space models like Kalman filtering, LQR control, robust control, and model predictive control. - State-Space Models, Part 1: Creation and Analysis: http://bit.ly/2H0TOqj - State-Space Models, Part 2: Control Design: http://bit.ly/2H1Ymgc - Dr. Rick Hill’s explanation of choosing states based on energy: http://bit.ly/2GZyUrD Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.
Views: 15479 MATLAB
Electrical Distribution System Analysis
Electrical Distribution System Analysis Prof. G. B. Kumbhar Department of Electrical Engineering IIT Roorkee
Views: 9380 IIT Roorkee July 2018
Radar System Design and Analysis with MATLAB
See what's new in the latest release of MATLAB and Simulink: https://goo.gl/3MdQK1 Download a trial: https://goo.gl/PSa78r In this webinar we illustrate techniques for designing and analyzing radar systems. You’ll see how you can perform radar system design and analysis tasks such as waveform design, target detection, beamforming, and space-time adaptive processing. This webinar is geared towards scientists, engineers, and students who are working in the applications that employ radar or phased array technologies. Through examples in Phased Array System Toolbox and Signal Processing Toolbox, you’ll learn how to: Rapidly model and simulate phased array systems, explore alternative system architectures and make system level trade-offs in the MATLAB environment Extend existing code and IP to include proprietary target models and environment models using open APIs Process offline data in the same environment using the same algorithms and test benches
Views: 8086 MATLAB
Modelling, Simulation and Analysis of Physical Systems
A shot clip on Modelling, Simulation and Analysis of Physical Systems material. Hope you enjoy! for more info on tutoring visit us at www.gradesavers.com
Views: 152 Gradesavers
Analysis Modeling-I ERD DFD Software Engineering Computer Education for All Unit No.6
Computer Education for All Provides Lecture Series on Software Engineering Analysis Concepts, What is Modeling and Principal, Entity Relationship Diagram, Data Flow Diagram, How to Create Data Dictionary, Analysis Modeling-I Software Engineering Unit No.6, Engineering, Models, Software Process Models, SDLC, Weaknesses and Strengths, Explain Software process, Behavioral Modeling, Process Modeling, Thanks for watching this video please Share, Like, comments and Subscribe for more videos. Find us on Facebook: https://web.facebook.com/Computer-Education-for-All-1484033978567298 YouTube: https://www.youtube.com/channel/UCiV37YIYars6msmIQXopIeQ
Attack Tree Analysis   understanding and modelling threats
In today's increasingly interconnected world, system hazards are more likely than ever to originate from deliberate attacks, such as hacking and malware. Using the example of how an attacker could gain access to on-board systems in a car by hacking into the entertainment system, this webinar will show how attack tree analysis, a modified form of fault tree analysis, can be used to predict the frequency of a threat due to attacks on a system and the failure of defensive measures. We will also demonstrate how attack tree analysis can take into account the impact of a successful attack on factors such as cost and safety, as well as the cost and difficulty incurred by the attacker.
Views: 1391 IsographSoftware
3. Systems Modeling Languages
MIT 16.842 Fundamentals of Systems Engineering, Fall 2015 View the complete course: http://ocw.mit.edu/16-842F15 Instructor: Olivier de Weck This lecture covered a lot of ground on various systems modeing languages used in a design process. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 13886 MIT OpenCourseWare
What Techniques Do Business Analysts Use?
This KnowledgeKnugget™ (KK) is part of an eCourse "Business Analysis Defined". VIEW COURSE OUTLINE at http://businessanalysisexperts.com/product/video-course-business-analysis-defined/. Also available as Paperback or Kindle eBook at http://www.amazon.com/dp/B00K7MM50O/. DESCRIPTION: Although the field of IT Business Analysis offers great career opportunities for those seeking employment, some business analysis skills are essential for any adult in the business world today. For example, the task of defining the requirements for an IT solution is handed to Business Analysts as well as Subject Matter Experts, Developers, System Analysts, Product Owners, Project Managers, Line Managers, or any other business expert. Applying business analysis techniques to define their business needs results in much higher chances for a successful IT project. In this KnowledgeKnugget™ you will learn what business analysis techniques and tools are most commonly used around the world based on surveys of actual business analysts. This KnowledgeKnugget™ answers questions like: 1. What are the primary activities in business analysis? 2. What tools or techniques do they use? To view more IT requirements training, visit the Business Analysis Learning Store at http://businessanalysisexperts.com/business-analysis-training-store/. PARTIAL TRANSCRIPT: Business analysis is the process of studying a business or any other organization to identify business opportunities / problem areas and suggest potential solutions. A wide range of people with various titles, roles and responsibilities actually apply business analysis techniques within an organization. There are three fundamentally different flavors or levels of business analysis: 1. Strategic Business Analysis (aka Enterprise Analysis) (http://businessanalysisexperts.com/strategic-business-analysis/ ) 2. Tactical Business Analysis (http://businessanalysisexperts.com/tactical-business-analysis/) 3. Operational Business Analysis (http://businessanalysisexperts.com/operational-business-analysis/Operational Business Analysis) Strategic Business Analysis is the study of business visions, goals, objectives, and strategies of an organization or an organizational unit to identify the desired future. It encompasses the analysis of existing organizational structure, policies, politics, problems, opportunities, and application architecture to build a business case for change. This analysis employs business analysis techniques such as Variance Analysis, Feasibility Analysis, Force Field Analysis, Decision Analysis, and Key Performance Indicators to support senior management in the decision-making process. The primary outcome of this work is a set of defined, prioritized projects and initiatives that the organization will undertake to create the desired future. If the initiative includes the development of software using an Agile Software Development Methodology (SDM) (http://businessanalysisexperts.com/product/business-analysis-agile-methodologies/), strategic business analysis techniques identify themes and/or epics, and initiate a product backlog. Tactical Business Analysis is at the project or initiative level to flush out the details of the proposed solution and to ensure that it meets the needs of the business community. Commonly used business analysis techniques at this level include Stakeholder Identification (http://businessanalysisexperts.com/product/how-to-identify-stakeholders-it-projects/), Interviewing (http://businessanalysisexperts.com/product/requirements-elicitation-gathering-business-stakeholder-it-requirements/), Facilitation (http://businessanalysisexperts.com/product/how-to-facilitate-requirements-gathering-workshops/), Baselining, Coverage Matrices, MoSCoW Analysis (http://businessanalysisexperts.com/product/requirements-prioritization-two-simple-techniques/), Benchmarking, Business Rules Analysis, Change Management, Process and Data Modeling (http://businessanalysisexperts.com/product/business-data-modeling-informational-requirements/), and Functional Decomposition (http://businessanalysisexperts.com/product/video-course-exposing-functional-and-non-functional-requirements/). In an Agile environment, Tactical Business Analysis adds to the Product Backlog and/or Release Plans expressed in Themes, Business Epics, Architecture Epics, User Stories (http://businessanalysisexperts.com/product/video-course-writing-user-stories/), and User Story Epics. In a traditional setting, the primary outcome of Tactical Business Analysis is a set of textual and/or modeled Business and Stakeholder Requirements (http://businessanalysisexperts.com/product/video-course-writing-requirements/). ..........
Views: 304169 BA-EXPERTS
Business Intelligence: Multidimensional Analysis
An introduction to multidimensional business intelligence and OnLine Analytical Processing (OLAP) suitable for both a technical and non-technical audience. Covers dimensions, attributes, measures, Key Performance Indicators (KPIs), aggregates, hierarchies, and data cubes. Downloadable slides available from SlideShare at http://goo.gl/4tIjVI
Views: 62016 Michael Lamont
Structured Anlysis Process Modeling (OO Systems Analysis Appendix A)
Although this course is focused on object oriented systems analysis and design, another technique that is frequently used is structured analysis and design. The Gane and Sarson techniques for data flow diagramming are just as useful for modeling and understanding systems, and in some cases may be even more appropriate than OO methods. You may also find that users and non-technical stakeholders can digest structured models a bit easier than UML models with their complicated syntax.
Views: 5031 Brian Green
Decision Tree Tutorial in 7 minutes with Decision Tree Analysis & Decision Tree Example (Basic)
Clicked here http://www.MBAbullshit.com/ and OMG wow! I'm SHOCKED how easy.. No wonder others goin crazy sharing this??? Share it with your other friends too! Fun MBAbullshit.com is filled with easy quick video tutorial reviews on topics for MBA, BBA, and business college students on lots of topics from Finance or Financial Management, Quantitative Analysis, Managerial Economics, Strategic Management, Accounting, and many others. Cut through the bullshit to understand MBA!(Coming soon!) http://www.youtube.com/watch?v=a5yWr1hr6QY
Views: 558713 MBAbullshitDotCom
Intro to Control - 6.2 Circuit State-Space Modeling
Finding a state-space model of an R-L-C circuit with two outputs. CORRECTION: The final D matrix should be a 2x1 matrix of zeros! Sorry for the mistake!
Views: 142402 katkimshow
Hydrological modeling with GIS
Subject: Geology Paper: Remote sensing and GIS Module: Hydrological modeling with GIS Content Writer: Manika Gupta
Views: 12314 Vidya-mitra
Waterfall Model in Software Engineering in Hindi
The waterfall model is a sequential design process, used in software engineering, in which progress is seen as flowing steadily downwards (like a waterfall) through the phases of conception, initiation, analysis, design, construction, testing, production/implementation and maintenance. Despite the development of new software development process models, the Waterfall method is still the dominant process model with over a third of software developers still using it The waterfall development model originates in the manufacturing and construction industries: highly structured physical environments in which after-the-fact changes are prohibitively costly, if not impossible. Because no formal software development methodologies existed at the time, this hardware-oriented model was simply adapted for software development. The first known presentation describing use of similar phases in software engineering was held by Herbert D. Belington at Symposium on advanced programming methods for digital computers on 29 June 1956. This presentation was about the development of software for SAGE. In 1983 the paper was republished with a foreword by Belington pointing out that the process was not in fact performed in a strict top-down fashion, but depended on a prototype. The first formal description of the waterfall model is often cited as a 1970 article by Winston W. Royce,[ although Royce did not use the term waterfall in that article. Royce presented this model as an example of a flawed, non-working model; which is how the term is generally used in writing about software development—to describe a critical view of a commonly used software development practice. The earliest use of the term "waterfall" may have been in a 1976 paper by Bell and Thayer. In 1985, the United States Department of Defense captured this approach in DOD-STD-2167A, their standards for working with software development contractors, which stated that "the contractor shall implement a software development cycle that includes the following six phases: Preliminary Design, Detailed Design, Coding and Unit Testing, Integration, and Testing". For More Detail refer https://en.wikipedia.org/wiki/Waterfall_model
Views: 128900 Introtuts
CPM - Critical Path Method||Project Management Technique||Operations Research|| Solved Problem
Here is the Video about Critical Path Method (CPM) in Operations research, I have given the necessary theory explanation with Solved problem, Pls watch the complete video to understand the CPM concept, Hope this video will help you to understand in a simple way. Video for PERT - https://youtu.be/WrAf6zdteXI To watch more tutorials pls visit: www.youtube.com/c/kauserwise * Financial Accounts * Corporate accounts * Cost and Management accounts * Operations Research * Statistics ▓▓▓▓░░░░───CONTRIBUTION ───░░░▓▓▓▓ If you like this video and wish to support this kauserwise channel, please contribute via, * Paytm a/c : 6383617203 * Western Union / MoneyGram [ Name: Kauser, Country: India & Email: [email protected] ] [Every contribution is helpful] Thanks & All the Best!!! ─────────────────────────── What is CPM in operations research How to construct CPM network? What is Project management - cpm? What is forward pass and backward pass in CPM? What is Earliest time and latest completion time? How to find Free floats and total floats?
Views: 1531812 Kauser Wise
Environmental Modelling and Global Sensitivity Analysis - Amin Haghnegahdar
The JRC's Sensitivity Analysis group (SAMO) presents "Towards improved environmental model applications using multi-criteria global sensitivity analysis", by Amin Haghnegahdar University of Saskatchewan EC Joint Research Centre – Ispra – 2 May 2017 Sensitivity analysis (SA) plays a key role in improving model performance and should be used as an integrated part of the modelling applications. In this talk, application of a novel global SA method, VARS (Variogram Analysis of Response Surfaces), to assess the behavior of a semi-distributed physically-based land surface-hydrology model, MESH (Modélisation Environmentale–Surface et Hydrologie), will be presented. Multiple model performance metrics (capturing various attributes of a hydrograph) are considered in conducting the SA. Implications of this multi-criteria SA approach on understanding the model behavior, characterizing its uncertainty, and improving its calibration/predictions will also be discussed as part of this presentation. Prior to joining the Global Institute for Water Security in June 2015, Amin Haghnegahdar completed his PhD studies at the University of Waterloo. Supervised by Saman Razavi and as a member of the Watershed Systems Analysis and Modelling Lab, Amin is conducting research on hydrological modelling, model sensitivity and uncertainty assessment, and model calibration/validation. Seminar organiser: William BECKER Video recording, audio and video editing: Mayeul KAUFFMANN
Views: 372 mayeulk
Mathematical Biology. 14: Predator Prey Model
UCI Math 113B: Intro to Mathematical Modeling in Biology (Fall 2014) Lec 14. Intro to Mathematical Modeling in Biology: Predator Prey Model View the complete course: http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html Instructor: German A. Enciso, Ph.D. Textbook: Mathematical Models in Biology by Leah Edelstein-Keshet, SIAM, 2005 License: Creative Commons CC-BY-SA Terms of Use: http://ocw.uci.edu/info More courses at http://ocw.uci.edu Description: UCI Math 113B is intended for both mathematics and biology undergrads with a basic mathematics background, and it consists of an introduction to modeling biological problems using continuous ODE methods (rather than discrete methods as used in 113A). We describe the basic qualitative behavior of dynamical systems in the context of a simple population model. As time allows, we will then discuss other types of models such as chemical reactions inside the cell, or excitable systems leading to oscillations and neuronal signals. The necessary linear algebra is also discussed to avoid including additional requirements for this course. Recorded on February 10, 2014 Required attribution: Enciso, German A. Math 113B (UCI OpenCourseWare: University of California, Irvine), http://ocw.uci.edu/courses/math_113b_intro_to_mathematical_modeling_in_biology.html. [Access date]. License: Creative Commons Attribution-ShareAlike 3.0 United States License. (http://creativecommons.org/licenses/by-sa/3.0/deed.en_US)
Views: 18570 UCI Open
Dynamical Systems Introduction
See the full course: https://systemsacademy.io/courses/nonlinear-systems/ Twitter: http://bit.ly/2HobMld Dynamical systems is a area of mathematics and science that studies how the state of systems change over time, in this module we will lay down the foundations to understanding dynamical systems as we talk about phase space and the simplest types of motion, transients and periodic motion, setting us up to approach the topic of nonlinear dynamical systems in the next module. Transcription excerpt: Within science and mathematics, dynamics is the study of how things change with respect to time, as opposed to describing things simply in terms of their static properties the patterns we observe all around us in how the state of things change overtime is an alternative ways through which we can describe the phenomena we see in our world. A state space also called phase space is a model used within dynamic systems to capture this change in a system’s state overtime. A state space of a dynamical system is a two or possibly three-dimensional graph in which all possible states of a system are represented, with each possible state of the system corresponding to one unique point in the state space. Now we can model the change in a system’s state in two ways, as continuous or discrete. Firstly as continues where the time interval between our measurements is negligibly small making it appear as one long continuum and this is done through the language of calculus. Calculus and differential equations have formed a key part of the language of modern science since the days of Newton and Leibniz. Differential equations are great for few elements they give us lots of information but they also become very complicated very quickly. On the other hand we can measure time as discrete meaning there is a discernable time interval between each measurement and we use what are called iterative maps to do this. Iterative maps give us less information but are much simpler and better suited to dealing with very many entities, where feedback is important. Where as differential equations are central to modern science iterative maps are central to the study of nonlinear systems and their dynamics as they allow us to take the output to the previous state of the system and feed it back into the next iteration, thus making them well designed to capture the feedback characteristic of nonlinear systems. The first type of motion we might encounter is simple transient motion, that is to say some system that gravitates towards a stable equilibrium and then stays there, such as putting a ball in a bowl it will role around for a short period before it settles at the point of least potential gravity, its so called equilibrium and then will just stay there until perturbed by some external force. Next we might see periodic motion, for example the motion of the planets around the sun is periodic. This type of periodic motion is of cause very predictable we can predict far out into the future and way back into the past when eclipses happen. In these systems small disturbances are often rectified and do not increase to alter the systems trajectory very much in the long run. The rising and receding motion of the tides or the change in traffic lights are also example of periodic motion. Whereas in our first type of motion the system simply moves towards its equilibrium point, in this second periodic motion it is more like it is cycling around some equilibrium. All dynamic systems require some input of energy to drive them, in physics they are referred to as dissipative systems as they are constantly dissipating the energy being inputted to the system in the form of motion or change. A system in this periodic motion is bound to its source of energy and its trajectory follows some periodic motion around it or towards and away from it. In our example of the planet’s orbit, it is following a periodic motion because of the gravitational force the sun exerts on it, if it were not for this driving force, the motion would cease to exist. Twitter: http://bit.ly/2TTjlDH Facebook: http://bit.ly/2TXgrOo LinkedIn: http://bit.ly/2TPqogN
Views: 29945 Systems Academy
Federico Milano. "Modelling and Stability Analysis of Power Systems with Inclusion of Delays"
Federico Milano. "Modelling and Stability Analysis of Power Systems with Inclusion of Delays"
Jane Hillston (DDMCS@Turing): Moment analysis, model reduction and London bike sharing
Complex models in all areas of science and engineering, and in the social sciences, must be reduced to a relatively small number of variables for practical computation and accurate prediction. In general, it is difficult to identify and parameterize the crucial features that must be incorporated into the model, but powerful statistical approaches are becoming available based on analysis of large volumes of data. This is bringing fundamental change in the way we think about models. A new modelling paradigm is emerging based on the combination of statistical inference, high-throughput computation and physical laws, yet the mathematical foundations for combining these methods are still in their infancy. The purpose of this workshop is to bring together a diverse group of mathematicians and computational scientists to explore new ways of incorporating data analysis into complex systems modelling. Application topics to be discussed include methods for collective dynamics (flocking, schooling and pedestrian models), molecular modelling, cell biology, and fluid dynamics. The programme on each day will consist primarily of invited talks addressing diverse perspectives on data-driven modelling of complex systems. There will also be a poster session, and many opportunities for informal interaction and discussion.

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