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Обычная версия сайта
Статья
Simulating Petri Nets with Inhibitor and Reset Arcs
В печати

Pavel Pertsukhov, Mitsyuk A. A.

Proceedings of the Institute for System Programming of the RAS. 2019.

Глава в книге
A Method to Improve Workflow Net Decomposition for Process Model Repair
В печати

Semyon E. Tikhonov, Mitsyuk A. A.

In bk.: Analysis of Images, Social Networks and Texts. 8th International Conference AIST 2019. Springer, 2019.

Препринт
Темпоральные расширения в стандарте SQL

С.Д. Кузнецов

Препринты ИСП РАН. Институт системного программирования им. В.П. Иванникова РАН, 2017. № 30.

Экосистемы интернета вещей

The course introduces Internet of Things field of computer science and hardware implementation including terminology, basic concepts, various areas of its application and different approaches to building its software and using its hardware with different kinds of system on modules. Lecture topics include physics on electrical schemes and networking, different kinds of the things themselves, various fields of the things implementation, software needed to code the things behaviour and store the data including Internet of Things operating systems. During the practice classes students have a lot of assignments based on two hardware platforms: Arduino Uno and Raspberry Pi 3 with Arduino IDE and Android Studio for Android Things OS respectively. Then students are given a home assignment which can replace the course exam. The assignment is a hardware-software project based on a simple network of the things and has a certain purpose (smart home, smart weather station, smart plant, smart lock etc.). The assignment is divided into two parts: the first part is hardware (with systems on module mentioned and various sensors, controls, LEDs etc.) and the second part is software (mobile application) controlling the hardware. There is an exam in the end of the course studies. This course is practice oriented - more attention is given to practice, not lectures.