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Technician in Computational Physics Course
Enhance your skills with our Computational Physics Technician Course, tailored for physics professionals wanting to get across simulation design, analysis, and programming. Sink your teeth into the Lorentz Force, time-stepping, and initial condition settings. Level up your skills in C++, Python, and MATLAB for high-performance computing and scientific visualisation. Learn to interpret results, knock out scientific reports, and apply numerical methods like Runge-Kutta and Euler's. Join us for a concise, practical, and high-quality learning experience.
- Master simulation design: Create and implement physics simulations effectively.
- Analyse data: Interpret and report simulation results with precision.
- Program efficiently: Use C++, Python, and MATLAB for scientific computing.
- Visualise data: Employ MATLAB and Python for advanced data visualisation.
- Apply numerical methods: Solve complex equations using Runge-Kutta and Euler's methods.

4 to 360 hours flexible workload
certificate recognized by the MEC
What will I learn?
Enhance your skills with our Computational Physics Technician Course, tailored for physics professionals wanting to get across simulation design, analysis, and programming. Sink your teeth into the Lorentz Force, time-stepping, and initial condition settings. Level up your skills in C++, Python, and MATLAB for high-performance computing and scientific visualisation. Learn to interpret results, knock out scientific reports, and apply numerical methods like Runge-Kutta and Euler's. Join us for a concise, practical, and high-quality learning experience.
Elevify advantages
Develop skills
- Master simulation design: Create and implement physics simulations effectively.
- Analyse data: Interpret and report simulation results with precision.
- Program efficiently: Use C++, Python, and MATLAB for scientific computing.
- Visualise data: Employ MATLAB and Python for advanced data visualisation.
- Apply numerical methods: Solve complex equations using Runge-Kutta and Euler's methods.
Suggested summary
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