Insight into Theoretical and Applied Informatics

Introduction to Information Technologies and Computer Science

Andrzej Yatsko, Walery Suslow

• Publisher: De Gruyter Open Poland
• Year: 2016
• Topic: Computer Science
• eBook ISBN:
  9783110469882
• Subtopic: Computer Science General
• Index: Computer Science

The book is addressed to young people interested in computer technologies and computer science. The objective of this book is to provide the reader with all the necessary elements to get him or her started in the modern field of informatics and to allow him or her to become aware of the relationship between key areas of computer science. The book is addressed not only to future software developers, but also to all who are interested in computing in a widely understood sense. The authors also expect that some computer professionals will want to review this book to lift themselves above the daily grind and to embrace the excellence of the whole field of computer science. Unlike existing books, this one bypasses issues concerning the construction of computers and focuses only on information processing. Recognizing the importance of the human factor in information processing, the authors intend to present the theoretical foundations of computer science, software development rules, and some business aspects of informatics in non-technocratic, humanistic terms.

Table of contents

• Contents
• Abstract
• 1 Introduction to Informatics
• 1.1 Basics of Informatics
• 1.1.1 Historical Background
• 1.1.2 Famous People in the History of Computing
• 1.1.3 Areas of Computer Science
• 1.1.4 Theoretical and Applied Informatics
• 1.1.4.1 Theoretical Informatics
• 1.1.4.2 Applied Informatics
• 1.2 Relationship with Some Fundamental Sciences
• 1.2.1 Informatics and Mathematics
• 1.2.2 Informatics and Mathematical Logic
• 1.2.3 Informatics and Cybernetics
• 1.2.4 Informatics and Electronics
• 1.2.5 Informatics and Linguistics
• 1.2.6 Informatics vis-à-vis Psychology and Sociology
• 1.2.7 Informatics and Economics
• 1.3 Information Theory
• 1.3.1 Quantities of Information
• 1.3.1.1 Units for Measuring Computer Information
• 1.3.1.2 Quantities of Information in Information Theory
• 1.3.2 Coding Theory
• 1.3.3 Semiotics
• 1.3.3.1 Computational Semiotics
• 2 Algorithmics
• 2.1 The Science of Algorithms
• 2.1.1 Algorithm Design
• 2.1.2 Algorithmic Complexity Theory
• 2.1.3 Algorithm Analysis
• 2.2 Data Science (Datalogy)
• 2.2.1 Raw Data
• 2.2.2 Data Structures
• 2.2.3 Data Analysis (Data Analytics)
• 2.2.4 Data Mining
• 3 Computer Programming
• 3.1 Computer Programming Languages
• 3.1.1 A Very Brief History of Languages and Programming Paradigms
• 3.1.2 Syntax and Semantics of Programming Languages
• 3.1.3 Design and Implementation
• 3.2 Software Engineering
• 3.2.1 Software Development Process
• 3.2.2 Software Design Methods
• 3.2.3 Computer-Aided Software Engineering
• 3.3 Information Technology Project Management
• 3.3.1 The IT Project Management Stages
• 3.3.2 Approaches to Managing IT Project Activities
• 3.3.3 IT Team and IT Managers
• 4 Information Systems
• 4.1 Information Systems Basic
• 4.1.1 Organized Collection of Data (Databases)
• 4.1.2 Discovering IS Functionality
• 4.2 Analysis and Modeling of Information Systems
• 4.2.1 Brief Introduction to the Unified Modeling Language
• 4.2.2 Modeling the Architecture of Information System
• 4.3 Design of Business Information Systems
• 4.3.1 Business Process Modeling Notation
• 4.3.2 Business Process Reengineering
• 4.3.3 Software Measurement
• 4.4 Human Factors in Information Systems
• 4.4.1 Human Computer Interaction in Software Development
• 4.4.2 User Centered Development Methodology
• Bibliography
• Index