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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 →

Welding Blueprint Reading and Symbols

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Mechatronic Systems Troubleshooting Simulation

Provide students with XR-based scenarios to diagnose and troubleshoot common issues in mechatronic systems, including electrical, mechanical, and software faults. Using virtual diagnostic tools like multimeters, oscilloscopes, and logic analyzers, students will identify and resolve system faults such as sensor failures, PLC logic errors, and mechanical misalignments. Real-time feedback will help refine troubleshooting approaches and improve problem-solving efficiency in an immersive XR environment.

Corrosion Detection and Prevention

XR-powered simulation for detecting and preventing corrosion in aircraft components. Engage in immersive virtual scenarios to identify corrosion types, apply protective coatings, and restore metal surfaces. Key features include interactive corrosion analysis, advanced cleaning techniques, and innovative protection strategies to ensure long-term component durability.

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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.

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.