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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 →

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.

Geotechnical Engineering and Soil Mechanics

This XR simulation provides students with hands-on training in soil analysis, foundation design, and geotechnical investigation techniques. Virtual soil testing labs allow students to perform essential tests such as the Standard Penetration Test (SPT), Cone Penetration Test (CPT), and triaxial shear tests. The simulation includes interactive scenarios for designing shallow and deep foundations, retaining walls, and methods for slope stabilization. Students receive feedback on soil classification, bearing capacity, settlement predictions, and foundation stability to ensure they understand the fundamental principles of geotechnical engineering.

Surgical Procedure Simulations

Provide students with an immersive experience in assisting various surgical procedures, simulating both routine and complex operations in real-time.

Specialty Surgery Simulation (e.g., Neurosurgery, Orthopedics)

Provide students with exposure to specialized types of surgery, such as neurosurgery, orthopedic surgery, or cardiovascular surgery, through immersive XR simulations. These virtual scenarios focus on the unique instruments, techniques, and procedures associated with each surgical specialty. Students practice assisting during complex surgeries, such as spine operations, joint replacements, or brain surgeries, receiving real-time guidance on instrument handling, positioning, and support for high-precision tasks.

Sensor and Actuator Integration Simulation

Sensor and Actuator Integration Simulation teaches students how to integrate various types of sensors (such as proximity, temperature, and pressure) with actuators in automated systems. Through hands-on simulations, students will virtually integrate sensors into control systems, monitor input data in real-time, and observe how actuators (such as motors, solenoids, and relays) respond to sensor inputs. The course provides valuable feedback on sensor accuracy, system responsiveness, and effective calibration techniques.

Robotics and Mechatronics Integration

Provide students with hands-on experience in designing, programming, and integrating robotic systems with mechanical components through immersive XR simulations. Students will work with virtual robotic arms and mechatronic systems, programming movements, adjusting sensors, and controlling actuators. The simulation includes interactive scenarios for integrating mechanical and electronic systems using sensors, motors, and control logic. Students will receive real-time feedback on robotic precision, response time, and the overall performance of the integrated systems.

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.