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University / College

Learning Objectives

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

Learn essential bioinformatics methods for analyzing biological data, such as DNA sequence alignment, gene prediction, and protein structure analysis.
Use virtual lab tools to simulate real-world scenarios in genome analysis and pathway mapping.
Explore interactive tutorials on popular bioinformatics software like BLAST, protein databases, and molecular docking simulations.
Model complex biological pathways in virtual environments to understand cellular interactions and metabolic networks.
Analyze experimental data to determine relationships between genes, proteins, and biological functions.

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.

Bioinformatics and Computational Biology

Relevant Course Packages All Course Packages →

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.

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.

Cleanroom Procedures and Protocols Simulation

Master the essential cleanroom procedures for semiconductor manufacturing through immersive XR simulations, focusing on proper attire, cleanliness, and contamination control. Apply virtual training to enter, operate, and maintain a cleanroom environment with strict adherence to industry protocols.

Machining Tolerances and Fits

Explore XR-based simulations for machining parts to meet specified tolerances and selecting appropriate fits for mating components. Students will interact with virtual machining scenarios, adjusting parameters to achieve precise tolerances, whether it's clearance, interference, or transition fits. This experience provides a deeper understanding of machining precision, helping to avoid the production of undersized or oversized parts. Real-time feedback ensures that users can evaluate part quality, tolerance control, and fit accuracy for optimal machining results.

Failure Mode and Effects Analysis (FMEA) Simulation

Gain expertise in Failure Mode and Effects Analysis (FMEA) through immersive XR simulations. Learn to systematically identify, assess, and mitigate potential failure points in semiconductor manufacturing processes to enhance reliability and quality.

Thermal Stress Management and Warping Prevention Simulation

The Thermal Stress Management and Warping Prevention Simulation teaches students how to manage thermal stress and prevent material warping during the welding process. It includes virtual scenarios where temperature changes and thermal expansion are monitored while welding. Students engage in exercises to adjust their welding methods, preheat/postheat treatment, or apply clamping techniques to minimize warping. Feedback is given on thermal stress, material distortion, and the effectiveness of preventive measures to ensure high-quality welds.

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.