Branch Details

Design and Process Engineering

Original title in Czech: Konstrukční a procesní inženýrstvíFSIAbbreviation: D-KPIAcad. year: 2019/2020Specialisation: Control of Machines and Processes

Programme: Machines and Equipment

Length of Study: 4 years

Accredited from: Accredited until: 31.12.2020

Guarantor

Issued topics of Doctoral Study Program

  1. Analysis and optimization of business data with the use of artificial intelligence

    The aplication of artificial intelligence methods for data optimization is especially suitable for problems which are very difficult to solve using classical mathematical methods or where using deterministic computation methods would require unacceptable simplification of the problem. An acquisition of the optimization data by means of modern methods of artificial intelligence is a significant task in object classification and prediction. Approaches used by a graduant solving the aforementioned task are as follows: Analysis artificial intelligence methods, analysis algorithms for data classification and prediction.

    Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.

  2. Distributed optimazation systems

    The distributed approach is the current trend in many areas of computer applications, in communications, databases, calculations, control applications, and many others. For all these areas, optimization is an important part of their implementation. Distributed Optimization Approach allows to customize the structure of solved optimization tasks to real-world conditions where sub-optimization can be performed at lower levels to interact with other sub-optimizations that will contribute to the overall result.

    Tutor: Roupec Jan, doc. Ing., Ph.D.

  3. Nontraditional methods for data classification and prediction in process control

    Artificial intelligence methods belong among modern methods for optimization of process control. Using theese methods is especially suitable for problems which are very difficult to solve using classical mathematical methods or where using deterministic computation methods would require unacceptable simplification of the problem. An acquisition of the optimization data by means of modern methods and algorithms of artificial intelligence is a significant task in object classification. Approaches used by a graduant solving the aforementioned task are as follows: Analysis artificial intelligence methods, analysis algorithms for data classification and prediction.

    Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.


Course structure diagram with ECTS credits

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