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Learning Objectives

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

Explain the principles of digital and analog signal processing, including signal representation and transformation.
Create virtual low-pass, high-pass, band-pass, and notch filters for effective signal conditioning.
Use Fourier transforms to analyze and interpret signal frequency components and characteristics.
Implement signal modulation techniques for communication and data transmission applications.
Apply noise reduction methods to improve signal clarity and accuracy in practical 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.

Signal Processing and Filtering Techniques

Relevant Course Packages All Course Packages →

Door and Window Installation

The Door and Window Installation Simulation trains students to install doors, windows, and frames with precision, ensuring proper insulation and sealing. Virtual installation scenarios guide students through the process of installing pre-hung doors, sliding doors, and windows in various wall openings. Interactive tutorials focus on leveling frames, securing doors and windows, and sealing gaps for insulation. Real-time feedback is provided on installation techniques, weatherproofing, and frame alignment.

Control Systems and Automation

The Control Systems and Automation module provides students with a virtual environment to design, analyze, and simulate control systems. Through interactive exercises and simulations, students explore PID controllers, feedback loops, and control theory, gaining practical insights into optimizing system performance, ensuring stability, and mastering automation in industrial processes.

Non-Invasive Ventilation (NIV) Techniques

Explore non-invasive ventilation (NIV) techniques, including CPAP and BiPAP, for managing respiratory insufficiency in patients. This training offers interactive scenarios to develop skills in device setup, monitoring, and patient management.

Engine Performance Monitoring and Diagnostics

Enhance expertise in monitoring engine performance metrics and diagnosing operational inefficiencies in areas like power output, fuel economy, and emission control using XR-powered simulations.

Hybrid and Alternative Fuel Technologies

Hybrid and Alternative Fuel Technologies provides an in-depth exploration of hybrid vehicle systems and alternative fuel technologies, including hydrogen, compressed natural gas (CNG), and biofuels. Through XR-based simulations, students will study the operation and integration of hybrid powertrains, energy storage systems, and alternative fuel tanks. The course emphasizes designing fuel-efficient vehicles using alternative energy sources to reduce carbon emissions.

Control System Design and Tuning

Explore the design, simulation, and tuning of control systems for mechanical and electrical applications. Through interactive simulations, students will design feedback control systems using PID (Proportional-Integral-Derivative) controllers to regulate variables such as speed, temperature, or position. Real-time feedback will help students evaluate control system stability, response times, and error minimization for optimal system performance.

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.