Information and Information Technology 1

Information and employment 2

Employment structure over time 3

Basics of ICT  Subject – information, technologies and the systems for its delivery.  Target – general concept of the information and communication technologies for the science research.  Tasks – creating practical skills in using software for word processing, spreadsheets, presentations and Internet research. 4

Basics of ICT  Reasons to learn:  Continually increasing available information.  Penetration of Information and Communication Technologies in business.  Enlargement of the application software (Apps) market.  Increase of the information’s needs for high level of competitiveness.  Digital Agenda for Europe 2020  The Digital Agenda is the EU's strategy to help digital technologies, including the internet, to deliver sustainable economic growthDigital Agenda 5

Terms  Data – facts that are collected by observations or measurements and recorded to paper or electronically. Data are lowest level of abstraction from which information and then knowledge are derived.  Data transformation – a process that converts data into information. 6

Terms  Difference between Data and Information. 7 Data “raw” facts Transformation Information in proper form

Terms 8 Data Information collecting Environment Transformation Presenting Environment Information Transformation Customer

Terms  Information integrates data and knowledge about the environment and the ongoing processes in it which are viewed, stored and used by biological, social, technical, and others systems in the process of their operation for a particular purpose. 9

Terms The role of information systems is to transform raw data and facts in to the information that is added to our existing knowledge. Data Information Knowledge

Terms  Knowledge – a set of concepts, terms, and categories used by people in different areas of interest.  Data is the lowest level of abstraction, information is the next level, and finally, knowledge is the highest level among all three. 11

Terms  Message –presented in certain way information, i.e. particular form of information. Sources for information - internal and external, primary and secondary. Usefulness of the information - a characteristic of information that presents its value. 12

Information Information process Stages of Information process 13 Occurrence RecordingTransforming (processing)Saving Extracting

Information Transformations  Classifying – grouping data into groups based on certain criteria  Sorting –ordering the list of data (information units)  Summarizing – Sum, Subtotal, Pivot table  Calculating - using formulas and functions whit data  Selecting – extracting of data from population - Auto filter. 14

Information 15

Information  Information efficiency 16 Expenses Benefits Quantity/ Quality of information

Quantitative and Qualitative approaches 17 Theories and information Quantitative characteristics ScienceInformatics MathematicsStatistics Qualitative characteristics Semantic theory Content Sense Accuracy Authenticity Adequacy Completeness Details Pragmatic theory Value Utility Topicality Significance Novelty Originality Timeliness

Quantitative and Qualitative approaches  The numbers provides an universal language that can be easily understood by everyone in the world (quantitative approach).  What is the difference between quantitative and qualitative approaches? 18

Quantitative and Qualitative approaches  Quantitative approach describes and helps to solve problems by using numbers.  It mainly includes: collecting of numerical data, data processing (transformation) and making conclusions based on information. 19

Quantitative and Qualitative approaches  Qualitative approach  Qualitative approach describes the behavior of a man in the group or organization. The description is difficult to achieve by numerical values ​​ and rather uses illustrative examples, descriptive summary and cases.  Qualitative approaches are: observation, unstructured written respons e to questions, content analysis, and so on. 20

Quantitative and Qualitative approaches 21 Quantitative analysis Qualitative analysis Qualitative analysis Problem in the organization General conclusions Solved problem

Types of software Software classification Basic software Application software 22

Software classification Basic software Operation systems Commercial Open source Software creating environment Programming languages Interpreters Compilers Network Software Server Client Communication software Communication’s protocols Remote access Data base DB Management Systems DB Administrator Data manipulation SQL User’s Interface Application software 23

Software classification Basic software Application software Multifunctional Software Word ProcessingSpreadsheets Optimization’s software Graphical Software MultimediaCommunications Special Software Accounting and Finance Software Enterprise Resource Planning (ERP) Computer Added Design (CAD) Special Databases and Searching Software Ordered by special purpose 24