3.1.1 Data, Information, knowledge and processing

Slides:



Advertisements
Similar presentations
Verification & Validation
Advertisements

©G. Millbery 2003Data, Information, Knowledge and Processing Slide 1 Validation  Making sure that the data value entered is sensible and reasonable 
2.2 Validation & Verification
Outline Chapter 1 Hardware, Software, Programming, Web surfing, … Chapter Goals –Describe the layers of a computer system –Describe the concept.
Data Sources Chapter 1.
 By the end of this, you should be able to state the difference between DATE and INFORMAITON.
LESSON 8 Booklet Sections: 12 & 13 Systems Analysis.
Chapter 8: Systems analysis and design
AS Module 2 Information; Management and Management and Manipulation or what to do with data, how to do it, and……... ensure it provides useful information.
Encoding, Validation and Verification Chapter 1. Introduction This presentation covers the following: – Data encoding – Data validation – Data verification.
3.2 Data Checking.
Information Systems. Features of Information Systems Read Page P88 Then use your research to complete the following slides.
1 12 Systems Analysis and Design in a Changing World, 2 nd Edition, Satzinger, Jackson, & Burd Chapter 12 Designing Systems Interfaces, Controls, and Security.
OCR ICT. Entry criteria B at GCSE OCR ICT Year 12 AS – Two sections 1 Coursework (4 parts) 1 Exam (7 theory components) Coursework – practical tasks.
Lead Black Slide Powered by DeSiaMore1. 2 Chapter 1 Information Systems in Business.
Question 10 What do I write?. Spreadsheet Make sure that you have got a printout of your spreadsheet - no spreadsheet, no marks!
Information Processing and Presentation by Rico Yu.
Term 2, 2011 Week 5. CONTENTS Data and information Information purposes Types of data – Integer data types – Floating point numbers – Character data types.
A-Level Computing#BristolMet Session Objectives#14 MUST Identify different forms of output from a system SHOULD Describe the suitability of different outputs.
DATABASES Southern Region CEO Wednesday 13 th October 2010.
Data and information. Information and data By the end of this, you should be able to state the difference between DATE and INFORMAITON.
Term 2, 2011 Week 1. CONTENTS Problem-solving methodology Programming and scripting languages – Programming languages Programming languages – Scripting.
03/11/20151 System Development Lifecycle Design. 203/11/2015 Learning Objectives Consider the relevance and timeliness of data. Describe: The processes.
CIT PowerPoint presentation Group 4. Unit 1, Chapter 2 Basic Concept on Data DATA AND INFORMATION What is data? Data consists of all sorts of unorganised.
Verification & Validation. Batch processing In a batch processing system, documents such as sales orders are collected into batches of typically 50 documents.
Data Validation.
FIS Deryck Payne. Basic Concepts UNDERSTANDING INFORMATION – Based on Chapter 1: – Business Information Systems Bocij, Greasley, Chaffey, Hickie.
DESIGN TOOLS Flowcharts FLOWCHARTS Flowcharts can be used to indicate the essential procedures that are to be employed to create the solution and generate.
Knowledge, Information and Data. AIMS :  To understand the distinction between knowledge, information and data.  To understand that data can arise from.
1.The following diagram illustrates the relationship among various hardware components. The arrows indicate the directions of data flow. Activity 1 Relationship.
21/1/ Analysis - Model of real-world situation - What ? System Design - Overall architecture (sub-systems) Object Design - Refinement of Design.
Description and exemplification use of a Data Dictionary. A data dictionary is a catalogue of all data items in a system. The data dictionary stores details.
Verification & Validation
ICT IGCSE Theory – Revision Presentation The Systems Life Cycle Chapter 7: The Systems Life Cycle Analysis 7.2 Design 7.3 Development.
OCR ICT for AS © Hodder Education 2008 Chapter 1 Data, information, knowledge and processing.
 At the end of the class students should:  distinguish between data and information.  explain the characteristics and forms of Information Processing.
Data Capture Forms What are they?. Example 1 Example 2.
DATA TYPES.
3.1.4 Modelling.
Databases – Exam questions
Databases.
DATA INPUT AND OUTPUT.
Foundations of Information Systems in Business
Different Types of Testing
Unit 16 – Database Systems
What is IT? Preparation work for the BTEC Level 3 National Extended Certificate in Information Technology.
Week 12 Option 3: Database Design
Some ways to encourage quality programming
Information System and Management
نظـــــم المـعـلومـــات الإداريـــة: منظور اداري
A-LEVEL ICT Course Introduction.
Name: Date: Year 10 to 11 review Welcome back: Lawson.
Objectives TO UNDERSTAND THAT CAPTURING DATA IS VALIDATED AND VERIFIED TO CHECK THAT IT IS REASONABLE AND CORRECT.
How can errors in data occur when using an ICT system?
Chapter 3 Hardware and software 1.
Information Technology
L.
Information Technology
Chapter 13 Choosing interaction elements: software components
Chapter 3 Hardware and software 1.
Copyright © Cengage Learning. All rights reserved.
SDLC Phases Systems Design.
Verification and Validation
Home Entertainment Social Networks
Validation and Verification
ICT IGCSE Chapter 1 - Review
Presentation transcript:

3.1.1 Data, Information, knowledge and processing

a. describe the term data, using an example, clearly identifying the fact that data has no meaning;

2013 june

2013 june

b. describe what is meant by the term information, using an example to show how data can become information through the use of context, structure and meaning;

Dyn learning

2013 january

2013 january

c. compare different methods used to convey information: text, pictures, videos, animation, sound and LED, and give advantages, disadvantages and examples of the use of each;

2013 january

2013 january

2014 june

2014 june

d. describe what is meant by the term knowledge, distinguishing the difference between information and knowledge;

2014 june

2014 june

e. describe different data types: Boolean, real, integer, string, date/time, selecting an appropriate data type for a given situation;

2015 june

2015 june

f. give examples of different sources from which data can be derived, for example, gathered from original source or gathered from an indirect source and explain the advantages and disadvantages of using each source;

2012 january

2012 january

g. describe the terms static and dynamic data and compare the use of static information sources (eg CDROM) with dynamic sources (eg the internet);

2013 june

2013 june

2015 june

2015 june

h. describe the following and how they can affect the quality of the information produced: accuracy, relevance, age, completeness, presentation, level of detail;

Dyn learning

2014 june

2014 june

2015 june

2015 june

i. explain the advantages and disadvantages of encoding data, and describe different methods that can be used to encode data;

Dyn learning

2013 june

2013 june

2014 june

2014 june

2015 june

2015 june

j. describe and give examples of the following validation methods: range, type, check digit (modulus 11 and ISBN), length, lookup, picture/format and presence, and their purpose, indicating that these methods can only ensure reasonable data is input to a system and that there is no certainty of accuracy;

2013 june

2013 june

2015 june

2015 june

k. describe and give examples of the following verification methods: double entry with automatic comparison and proof reading, and understand that verification does not ensure the data is correct but that it is entered correctly and reduces errors;

2013 january

2013 january

l. describe the difference between backing up and archiving of data and give reasons why they are necessary;

2015 june

2015 june

m. describe the costs of producing information in terms of hardware, software, consumables and personnel;

2013 january

2013 january

n. describe the terms input, processing, output, storage and feedback, drawing a diagram to illustrate how they are related.

2013 june

2013 june

2015 june

2015 june

3.1.2 Software and hardware components of an information system

3.1.3 Characteristics of standard applications software and application areas

3.1.4 Spreadsheet concepts

3.1.5 Relational database concepts

3.1.6 Applications software used for presentation and communication of data

3.1.7 The role and impact of ICT