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Learning Objectives

At the end of this simulation, you will be able to:

Teach students the fundamentals of designing and simulating feedback control systems using PID controllers for mechanical and electrical applications.
Provide hands-on experience with interactive simulations of closed-loop systems for controlling variables like speed, temperature, or position.
Enable students to analyze and tune control systems for optimal performance, ensuring effective regulation of system variables.
Enhance understanding of control system stability, response times, and error minimization through real-time feedback.
Foster critical thinking by allowing students to adjust control parameters and assess their impact on system performance in various applications.

How do virtual labs work?

Enhance students' involvement in science by immersing them in interactive learning scenarios. Create simulations for experiments, provide hands-on training in laboratory techniques, and convey theoretical concepts through captivating visual experiences to improve their overall long-term learning outcomes.

Access web-based simulations that are compatible with laptops, Chromebooks, tablets, and iPads, eliminating the need for software installation.
Incorporate a teacher dashboard for automated grading and monitoring of student progress.
Utilize embedded quizzes to assist students in mastering scientific content.
Comprehensive repository of educational materials, including learning resources, lab reports, videos, theory pages, graphics, and more.

Relevant Course Packages All Course Packages →

Chronic Disease Management and Patient Education

The Chronic Disease Management and Patient Education module equips nursing students with the skills to support patients in managing chronic conditions. Through virtual interactions and interactive lessons, students practice guiding patients on lifestyle adjustments, medication adherence, and monitoring techniques, while focusing on education strategies that promote self-care, symptom control, and early complication recognition.

Biomedical Signal Processing and Analysis

Equip students with the skills to acquire, process, and analyze biomedical signals such as ECG, EEG, EMG, and blood pressure. Using interactive simulations, learners will explore signal collection from virtual patients, apply signal processing techniques, and interpret data for diagnosing medical conditions.

Magnetic Resonance Imaging (MRI) Overview

Explore the fundamentals of Magnetic Resonance Imaging (MRI) techniques and their critical role in radiography, supported by immersive XR-based simulations.

HVAC Load Calculation and System Sizing

The HVAC Load Calculation and System Sizing Simulation teaches students how to calculate heating and cooling loads and properly size HVAC systems for different buildings. Virtual tools are provided for load calculation, factoring in building insulation, square footage, number of occupants, and climate conditions. Students then engage in interactive scenarios to select the appropriate HVAC equipment based on the calculated loads. Real-time feedback is provided on the accuracy of system sizing, energy efficiency, and overall occupant comfort.

Signal Processing and Filtering Techniques

The Signal Processing and Filtering Techniques module provides virtual tools and interactive exercises to teach students how to process and analyze electrical signals using both digital and analog filtering methods. Through hands-on simulations, students explore signal conditioning, transformation, and noise reduction techniques.

Chassis Design and Structural Analysis

Explore the principles of chassis design and structural analysis, leveraging XR simulations to study load distribution, material selection, and crashworthiness.

LMS Integration

imaginX seamlessly integrates with leading LMS (Learning Management Systems), enabling educators to track student performance and allowing students to maintain their work records. It is compatible with popular platforms such as Canvas, Blackboard, Moodle, Google Classroom, Schoology, Sakai, Brightspace/D2L, and can also be used independently of an LMS.