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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 →

Smart Grid and Internet of Things (IoT) Integration

The Smart Grid and Internet of Things (IoT) Integration module trains students on integrating smart grid technology with IoT devices in electrical systems. Through interactive virtual simulations, students explore the design, communication, and management of smart grid components, focusing on scalability, security, and energy efficiency.

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.

Packaging and Assembly Process Simulation

Explore semiconductor packaging and assembly through immersive XR simulations. Gain practical experience in virtual labs focused on die bonding, wire bonding, and encapsulation, while mastering techniques for equipment handling, defect inspection, and assembly precision.

Vehicle Dynamics and Performance Analysis

Delve into the science of vehicle dynamics with this immersive XR simulation. Students can explore vehicle stability, handling, and ride comfort in various scenarios, analyzing how factors like acceleration, braking, and cornering affect overall vehicle performance. Using virtual simulations, students can test different vehicle configurations, suspension systems, tire mechanics, and aerodynamics to optimize design for real-world conditions.

Material Science and Mechanical Properties Analysis

Introduce students to material properties, testing methods, and their applications in mechanical engineering through XR simulations. Students will engage in virtual material testing labs where they perform various tests such as tensile tests, hardness tests, impact tests, and fatigue analysis. The simulation includes interactive lessons on material properties like strength, ductility, toughness, and elasticity. Real-time feedback will help students understand material selection, suitability for specific applications, and how to optimize design for enhanced performance.

Advanced Welding Techniques (Exotic Metals and Alloys)

The Advanced Welding Techniques (Exotic Metals and Alloys) Simulation provides experience in welding high-performance materials like titanium, Inconel, and other exotic alloys. It offers virtual practice in welding materials that require specialized techniques due to their heat sensitivity, oxidation tendencies, and high strength. Students adjust welding settings, gas flow, and filler materials to meet the unique needs of these advanced metals. Feedback is provided on weld quality, material integrity, and the specific welding methods required for working with these materials.

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.