Information Systems

Course guarantor:

Lecturer:

Tutor:

Supervisor:

Department of Instrumentation and Control Engineering

Synopsis:

Information Systems and Information Technologies (IS/IT) - gate in the époque of networks. Concepts of Informatics. Representation of Information - basic models and types. Essential types of information representation. Entropy. Basic computations. Acquisition of information. Storing of information. Carriers of information. Information transfer. Transfer channel. Quality of transfer channel. Information noise in the channel. Electronic document, multi-medial information. Multiplex channels. Signals and signal carriers (telephone, optic, radio, laser, ). Computer networks. Types. Communication protocols. Computer Network services. Computer networks. Parameters of computer networks. Simulation. Information technologies in the filed of Automatic Control. Data and Knowledge. Database systems, data models, database management, Engineering applications. Design of database systems.

Knowledge-based systems. Representation of Knowledge. Computing with uncertainties.

Modular structure of expert system. Types of expert systems. Expert systems in engineering problem solving.

Requirements:

Active work in exercises

Syllabus of lectures:

L1. Information systems and information technologies (IS/IT).

L2. Essential types of information representation. Entropy. Basic computations.

L3. Acquisition of information. Storing of information. Carriers of information. Information

transfer.

L4. Transfer channel. Quality of transfer channel. Information noise.

L5. Electronic document, multi-medial information.

L6. Multiplex channels.

L7. Signals and signal carriers (telephone, optic, radio, laser, .).

L8. Computer networks. Types. Communication protocols. Computer Network services.

L9. Computer networks. Parameters of computer networks. Simulation.

L10. Information technologies in the filed of Automatic Control. Data and Knowledge.

Data-base systems, data models, data-base management, Engineering

applications.

L11. Design of data-base systems.

L12. Knowledge-based systems. Representation of Knowledge. Computing with

uncertainties.

L13. Modular structure of expert system. Types of expert systems. Expert systems in

engineering problem solving.

L14. Future of information technologies and information systems in the époque of networks.

Syllabus of tutorials:

E1. Entropy and information. Basic issues.

E2. Engineering document (MS-Word, Excel, OLE, etc.).

E3. Development of technical presentation (MS-PowerPoint).

E4. Work with TWAIN means (digital photo, scanner, text recognition, OCR).

E5. Distance information services (OPAC, COMPENDEX, ISPEC, IRC,

ICQ, FTP, teleconferences, etc.).

E6. Data-based systems. MS ACCESS for users (non-programmers). Fundamentals.

E7. Expert system ETS. Types of problems. Demonstration in solutions.

Study Objective:

Entropy and information. Basic issues. Engineering document (MS-Word, Excel, OLE, etc.). Development of technical presentation (MS-PowerPoint). Work with TWAIN means (digital photo, scanner, text recognition, OCR). Distance information services (OPAC, COMPENDEX, ISPEC, IRC, ICQ, FTP, teleconferences, etc.). Data-based systems. MS ACCESS for users (non-programmers). Fundamentals., E7. Expert system ETS. Types of problems. Demonstration in solutions.

Study materials:

Bíla, Král, Hlaváč: Information Technologies. Data-base and Knowledge-based systems. CTU in Prague, Prague, 2003.

Note:

Further information:

No time-table has been prepared for this course

The course is a part of the following study plans: