Introduction to Information Systems


The course covers all aspects of analysis, design and development of information systems. A detailed analysis and description of the factors that affect the process of development of information systems and the fundamentals of data modeling techniques and procedures is performed. Many examples are discussed and many information systems analysis and design exercises are presented using well known modeling techniques.


Objectives

After completing the course, students should have acquired the necessary knowledge and skills to: To address the analysis and design of an Information System as a systematic methodology for analysis and systems design. Clearly define the specifications of a system and can separate them into functional and non-functional. To determine the appropriate technical analysis procedures, as appropriate, depending on the nature of the Information System and restrictions governing. Investigate systematically the effects of alternative techniques, decisions and strategies. Exploit the possibilities offered by the various techniques and various analysis tools and information systems design for optimal organization addressing issues and business planning, modeling issues, design issues and development and software issues. To assess and exploit the role and involvement of the human factor in an Information System.


Prerequisites

There aren't any.


Syllabus

The course covers all aspects of analysis, design and development of information systems. More specifically the following knowledge areas are described and analyzed: Basic Concepts of Information Systems. Development of Information Systems. Information Systems Development Methodologies. Information Systems Development Life Cycle. Management Issues and Business Planning. Systemic Theory. Information Systems Strategies. Business process re-engineering (BPR). Information Systems Planning. Modeling Topics. Process Modeling. Data Modeling. Object-oriented Modeling. Design and Development Issues. Traditional Information Systems. Evolutionary Development. Prototyping. Rapid Application Development. Method Engineering. Role and Participation of the Human Factor. Human - Computer Interaction. Knowledge Management. Adapting to customer requirements. Presentation and Application of tailor made solutions. Application Packages. Packages for Enterprise Resource Planning. Using External Resources. Software Engineering. Holistic Techniques Data Modeling Techniques. Entity Modeling. Normalization. Process Modeling Techniques. Data Flow Diagrams. Decision Trees. Decision Tables. Structured English. Structure Diagrams. Structured walkthroughs. Matrices. Action Diagrams. Entity life cycle.

COURSE DETAILS

Level:

Type:

Undergraduate

(A+)


Instructors: Grigorios Beligiannis
Department: Department of Business Administration of Food and Agricultural Enterprises
Institution: University of Patras
Subject: Engineering Economics and Management
Rights: CC - Attribution-NonCommercial-ShareAlike

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