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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 →

Crash Testing and Safety Systems Design

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Medical Device Design and Prototyping

Immerse students in the principles of medical device design, prototyping, and testing with a cutting-edge XR-powered simulation. Through virtual scenarios, learners can design devices such as prosthetics, implants, diagnostic tools, and wearables, create interactive 3D models, and simulate their functionality, durability, and compliance with regulatory standards.

Welding Automation and Robotic Welding Simulation

The Welding Automation and Robotic Welding Simulation leverages XR to immerse users in operating and programming automated welding systems. Participants configure robotic arms for tasks like repetitive joints or intricate components, fine-tune welding parameters, and monitor processes for optimal performance. Feedback ensures proper setup, weld precision, and efficiency in industrial scenarios.

Electrical Machines and Motor Control

The Electrical Machines and Motor Control module provides virtual environments where students can operate and analyze various motors and generators, including induction, synchronous, DC, and stepper types. Through interactive lessons and simulations, students explore motor control techniques and performance characteristics, gaining insights into efficiency, torque-speed relationships, and power factor correction.

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.

Pediatric Nursing Care Simulation

The Pediatric Nursing Care Simulation module provides nursing students with virtual experiences to develop essential pediatric care skills. Students practice assessing health conditions, administering medications, and delivering age-appropriate care while interacting with children and collaborating with parents. The module also includes scenarios to handle pediatric emergencies and communication challenges.

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.