Spring 2021
The main goal of an Industrial Instrumentation course for engineering students are shaped by a variety of applications including control, quality assurance, performance testing, design and research.
This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth.
Fall 2020
(Current Semester)
Model predictive control (MPC) is an advanced method of process control that is used to control a process while satisfying a set of constraints.
This course provides the fundamentals in modern control theory - centered around the so-called state space methods - as a continuation of classical control theory taught in Linear Control Theory.
This course is to explore the modeling of linear dynamic systems via differential equations and transfer functions utilizing state-space and input-output representations.
Winter 2020
This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth.
The main goal of an Industrial Instrumentation course for engineering students are shaped by a variety of applications including control, quality assurance, performance testing, design and research.
Fall 2019
Model predictive control (MPC) is an advanced method of process control that is used to control a process while satisfying a set of constraints.
This course provides the fundamentals in modern control theory - centered around the so-called state space methods - as a continuation of classical control theory taught in Linear Control Theory.
Spring 2019
This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth.
The main goal of an Industrial Instrumentation course for engineering students are shaped by a variety of applications including control, quality assurance, performance testing, design and research.
This course is a comprehensive introduction to control system synthesis in which the digital and mini computer plays a major role, reinforced with hands-on laboratory experience.
Fall 2018
This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth.
This course provides the fundamentals in modern control theory - centered around the so-called state space methods - as a continuation of classical control theory taught in Linear Control Theory.
This course is a comprehensive introduction to control system synthesis in which the digital computer plays a major role, reinforced with hands-on laboratory experience. The course covers elements of real-time computer architecture and IoT based control.
This course is a continuation of Electronic Circuits for advanced instrumentation I. It covers several topics from analog and digital integrated circuits.
Spring 2018
This course introduces students to the basic components of electronics: diodes, transistors, and op amps. It covers the basic operation and some common applications.
This course is a continuation of Electronic Circuits for advanced instrumentation I. It covers several topics from analog and digital integrated circuits.
This course is a comprehensive introduction to control system synthesis in which the digital computer plays a major role, reinforced with hands-on laboratory experience. The course covers elements of real-time computer architecture and IoT based control.
This course goes beyond the hype of consumer IoT to emphasize a much greater space for potential embedded system applications and growth.
The main goal of an Industrial Instrumentation course for engineering students are shaped by a variety of applications including control, quality assurance, performance testing, design and research.
In the codelabs-based Android Developer Fundamentals (V2) training, the students learn basic Android programming concepts using the Java programming language, and you build a variety of apps.
Amirkabir University (Winter 2017):
Digital Control
Advanced Robotics
BAQ University (Fall 2016):
Medical Instrumentations and Devices
SH University (Fall 2016):
Electronics 1
Electronics 2
Advanced Concepts in Computer Programming
Robotics
Amirkabir University (Spring 2016):
Computer and Digital Control
Shariaty University (2016):
Electronics 1
Computer Architecture
Advanced Concepts in Computer Programming
Electronics 2
Altium Designer
Shariaty University (2015):
Electronics 1
Advanced Concepts in Computer Programming
Computer Architecture
Amirkabir University of Tech. (2015):
Neural Networks
Robotics
Digital Control
Amirkabir University of Tech. (2014):
Linear Control
Digital Control
Computer Control (Birmingham)
Qazvin University (2014):
Neural Networks
Distributed Control Systems
Linear Control
Amirkabir University of Tech. (2013):
Advanced Robotics
Medical Robotics
Modern Control
Linear Control
Amirkabir University of Tech. (2013):
Robotics and Control
Advanced Robotics and Control
Instrumentation
Amirkabir University of Tech. (2012):
Adaptive Control(2012-2013)
Automation(2012-2013)
Controller Design for Robots
Industrial Control
Instrumentation
Qazvin University (2012):
Instrumentation
Industrial Control
Amirkabir University of Tech. (2011):
Automation
Amirkabir University of Tech. (2010):
Automation
Artificial Intelligence
Digital And Nonlinear Control