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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 →

Motor Control Circuits Simulation

Explore the design and troubleshooting of motor control circuits used in industrial automation. In this simulation, students will virtually install and wire motor starters, relays, and control circuits for electric motors. They will program motor control systems, utilizing start/stop buttons, overload protection, and variable speed drives. The simulation offers real-time feedback on system performance, motor control accuracy, and troubleshooting techniques, enhanced with XR for an immersive learning experience.

Control Systems and Automation

The Control Systems and Automation module provides students with a virtual environment to design, analyze, and simulate control systems. Through interactive exercises and simulations, students explore PID controllers, feedback loops, and control theory, gaining practical insights into optimizing system performance, ensuring stability, and mastering automation in industrial processes.

Heat Pump Installation and Troubleshooting

The Heat Pump Installation and Troubleshooting Simulation trains students on the installation, operation, and troubleshooting of heat pumps in both heating and cooling modes. The simulation includes virtual scenarios for installing air-source and geothermal heat pumps, covering refrigerant line connections, electrical wiring, and thermostat setup. Students practice operating heat pumps, switching between heating and cooling modes, and troubleshooting issues such as defrost cycle problems, refrigerant flow issues, and reversing valve malfunctions. Real-time feedback is provided on system performance, heat transfer efficiency, and troubleshooting accuracy.

Human Anatomy and Physiology Simulation

Provide an in-depth understanding of human anatomy and physiology with a focus on systems relevant to biomedical applications. Using immersive XR technology, students can explore and interact with virtual 3D models of the human body, gaining insights into organ systems, tissues, and cells and their implications for medical device design.

Wind and Solar Energy Systems Simulation

This XR simulation provides training on designing and analyzing renewable energy systems, focusing on wind turbines and solar panels. Virtual simulations allow students to explore the dynamics of wind turbines, including blade aerodynamics and energy conversion efficiency. Students can design solar panel arrays, optimize their angle for maximum energy generation, and evaluate their performance. The simulation offers real-time feedback on renewable energy efficiency, cost savings, and environmental impact, enabling students to make informed decisions about optimizing renewable energy systems.

Renewable Energy Systems (Solar, Wind, and Battery Storage)

The Electromagnetics and Wave Propagation module offers virtual simulations of renewable energy systems, including solar power, wind turbines, and battery storage. Through interactive exercises, students analyze energy conversion efficiency, system design, and grid integration, gaining a deeper understanding of electromagnetic interactions and wave propagation in renewable energy technologies.

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.