UFUF018 Programming of autonomous systems applications

Faculty of Philosophy and Science in Opava
Winter 2019
Extent and Intensity
2/2/0. 5 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Jaroslav Zeman (lecturer)
Ing. Jaroslav Zeman (seminar tutor)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
Centrum interdisciplinárních studií – Faculty of Philosophy and Science in Opava
Timetable
Mon 13:05–14:40 PU-UF
  • Timetable of Seminar Groups:
UFUF018/A: Mon 14:45–16:20 PU-UF, J. Zeman
Prerequisites
TYP_STUDIA(B)
General knowledge of programming.
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The aim of the course is to make the students acquainted with the basics of the using FPGA, language VHDL and small computers systems.
Syllabus
  • 1. The control structure of robots, their classification, specifications and basic features. Fundamental approaches to the design of control structures, robots and analysis. Non adaptive and adaptive control algorithms and their implementation and testing.
    2. Scanning environment variables, control of active elements of the robot. Implementation of interface between the sensors, control system and control of the robot.
    3. Control structures in multiprocessor systems based on standard of interpretation and compilation of programming languages.
    4. Control structures based on FPGA and digital signal processors using FPGA. The direct implementation of control algorithms using language VHDL or VERILOG.
    5. Practical introduction to the development environment for programming, testing and analysis for the realization of autonomous systems.
Literature
    recommended literature
  • Jura, P. Základy fuzzy logiky pro řízení a modelování. VUT Brno, 2003. info
  • Thomas Donald E., Philip R. Moorby. The Verilog hardware description language. New York, 2002. ISBN 1402070896. info
  • Novák, Mirko. Umělé neuronové sítě: teorie a aplikace. Praha, 1998. ISBN 8071791326. info
Teaching methods
Interactive lecture
Lecture supplemented with a discussion
Assessment methods
Grade
Credit
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Teacher's information
To obtain the credit, students must hand in a semester project. The semester project consists of a program created by students on a theme obtained after a consultation with the lecturer, by the midway through the teaching period. The program must be a functional unit which will be error free and will perform on the theme. The exam consists of a consultation on the semester project. The evaluation of the project will focus on the overall completion, namely: the reliability of the created program, used algorithm, student's personal contribution towards the work on the theme, possibilities of further development of the program and also students' understanding of the issues and the acquired knowledge during the course.
The course is also listed under the following terms Winter 2013, Winter 2014, Winter 2015, Winter 2016, Winter 2017, Winter 2018, Winter 2020, Winter 2021, Winter 2022.
  • Enrolment Statistics (Winter 2019, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2019/UFUF018