Theoretical foundations of intelligent devices

Course: Applied Mathematics

Structural unit: Faculty of Computer Science and Cybernetics

Title
Theoretical foundations of intelligent devices
Code
ДВС.3.04.03
Module type
Вибіркова дисципліна для ОП
Educational cycle
First
Year of study when the component is delivered
2022/2023
Semester/trimester when the component is delivered
6 Semester
Number of ECTS credits allocated
3
Learning outcomes
PH12. Solve individual engineering problems and/or problems arising in at least one subject area: in sociology, economics, ecology, and medicine. To know the basic principles of the structure of intelligent embedded control systems based on microcontrollers, in particular, the MCS51 and ARM architectures, the main types of sensors, executive devices and the principles of software development for such systems. PH11. To be able to apply modern technologies of programming and software development, software implementation of numerical and symbolic algorithms. Perform software development for intelligent embedded control systems based on microcontrollers of MCS51 and ARM architectures using the Keil IDE embedded systems software development toolkit.
Form of study
Prerequisites and co-requisites
1. Know: the main architectures of modern computer systems; C programming language basic level; technologies and methods of design and programming. 2. Be able to: develop specifications taking into account the established requirements; demonstrate processes and results of professional activity. 3. Have elementary skills: programming in the C language using software development tool environments.
Course content
Part 1. Review lectures on the principles of building intelligent systems The concept of an intelligent system. Embedded systems. Microcontrollers as a separate class of digital systems. Automated control systems based on microcontrollers. Building an intelligent control system based on a microcontroller. Interaction of digital and analog subsystems. Comparators. Digital-to-analog and analog-to-digital converters (DAC and ADC). The main types of sensors used in intelligent control systems. General characteristics and parameters of sensors. Receiving input information from sensors for processing by a microcontroller. Sensor reliability requirements. The main types of executive devices (actuators) used in intelligent control systems. General characteristics and parameters of actuators. Control of executive devices using a microcontroller. Requirements for control systems. Part 2. Construction of intelligent embedded systems based on MCS51 type microcontrollers Intel MCS51 base architecture. MCS51 microcontroller registers and command system. Ensuring the operation of MCS51 microcontrollers in real-time control systems. Interrupt system of MCS51 microcontrollers and built-in timers. Real-time timers and organization of their interaction with MCS51 microcontrollers. Built-in ADCs of MCS51 microcontrollers. Ensuring reception of information from sensors using built-in and external ADCs. Built-in DACs of MCS51 microcontrollers. Providing information transfer to executive devices using built-in and external DACs. Amplification of signals required to control actuators. Construction principles, characteristics and parameters of power amplifiers. Part 3. Construction of intelligent embedded systems based on microcontrollers of the ARM architecture ..
Recommended or required reading and other learning resources/tools
sіmeistva MCS-51. K: NTUU „KPІ”, 2016 –156s. 2. Lisenkov M. O., Kliuchnik І. І. Mіkrokontroleri v priladakh і pristroiakh, ISBN 978- 966-659-203-6, Kharkіv: KhNURE, 2014. — 368 s. 3. Jonathan W Valvano. Embedded Systems: Real-Time Interfacing to ARM Cortex-M Microcontrollers, ISBN 1463590156, Createspace Independent, 2011 – 600p. 4. Gunther Gridling, Bettina Weiss. Introduction to Microcontrollers. Vienna University of Technology, 2007 – 175p. 5. Elecia White. Making Embedded Systems. O’Reilly, ISBN: 978-1-449-30214-6 , 2011. – 297 p. 9 6. Yash Parikh. Smart Home System, 2015. https://www.researchgate.net/publication/ 335169004_Smart_Home_System. 7. Alan Davy. Components of a smart device and smart device interactions, 2003. https://www.researchgate.net/publication/252264581_Components_of_a_smart_device_and_sma rt_device_interactions
Planned learning activities and teaching methods
Lectures, laboratory classes, consultations, independent work
Assessment methods and criteria
- semester assessment: 1. Control work (test): RN 1.1 - 12 points/ 7 points 2. Control work: PH1.2 - 12 points/ 7 points 3. Control work: RN 1.3 - 12 points/ 7 points 4. Laboratory work (1 project): RN 2.1, RN 4.1 - 12 points/ 7 points. 5. Laboratory work (1 project): RN 2.2, RN 4.1 - 12 points/ 8 points. - final evaluation (in the form of an exam): - the maximum number of points that can be obtained by a student: 40 points; - learning outcomes that will be evaluated: PH1.1, PH1.2, PH 1.3, PH 2.1, PH 2.2 - form of implementation and types of tasks: written Types of tasks: 3 tasks from the theoretical part of the course and 2 tasks from its practical part.
Language of instruction
Ukrainian

Lecturers

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Departments

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