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Learn to build computational models for physics, chemistry, and biological systems with our structured approach to simulation programming.
Access specialized tutorials for different scientific domains—from fluid dynamics to molecular modeling—with clear examples tailored for research applications.
Our step-by-step simulation tutorials help you build scientific models from scratch, with real-time feedback to optimize your code for accurate results.
Master essential numerical algorithms for scientific computing, including differential equation solvers, optimization techniques, and statistical analysis methods crucial for accurate simulations.
Whether you prefer Python, MATLAB, C++, or Fortran for scientific computing, our platform offers solutions and examples in the languages popular in computational science.
Complete practical simulation projects that you can immediately apply to your research, with certification demonstrating your computational science proficiency.
You’re a scientist or researcher who needs to implement computational models but lacks the programming expertise
You’re struggling to translate mathematical equations and scientific theories into efficient, reliable simulation code
You want to optimize your existing simulation code to handle larger datasets or more complex models
You need to learn domain-specific algorithms relevant to your field of research, from fluid dynamics to molecular modeling
You’re overwhelmed by the complexity of scientific computing libraries and need structured guidance to implement them effectively
“After going through all the lessons, I gained the necessary skills to perform well at my on-sites. I crushed even the DP problems, which were my biggest fear. And thanks to that I landed offers from Microsoft and Uber. Thank you AlgoCademy!”
Cristina Radulescu
Senior Software Engineer at Uber
“AlgoCademy really helped me improve my problem solving skills and write incredibly clean code. I was worried it wouldn’t be done in time for my coding interviews, but the way the curriculum is structured made me progress very quickly. Thanks for your work!”
Connor Holland
Software Engineer at Vanguard
“Wow. I’ve been using AlgoCademy for a while and now I can finally solve coding questions on my own. This gave me the confidence I needed for my interviews, and guess what? I landed the offer at Samsung! You guys truly kick ass. High fives!”
Ankit Kumar
Software Engineer at Samsung
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of the surveyed Researchers have reported significant improvements in their simulation outcomes
of our Users say they’d recommend AlgoCademy to their colleagues
of our Users are confident that AlgoCademy will boost their research capabilities
of our Researchers enjoy enhanced career satisfaction after mastering simulation coding
Software Engineer & Instructor
Andrei has represented Romania in many international competitive programming contests. His highest achievement to date is winning the bronze medal at the Central European Olympiad in Informatics.
Andrei has also worked for Amazon and Keystone. Since 2015, he's been training students for the International Olympiad and preparing aspiring engineers to crush their coding interviews.
Fun fact: Andrei has a YouTube Channel and had the highest-rated course on Udemy before AlgoCademy was born.
Founder & CEO/CTO
Mircea has worked as a Software Engineer at companies including Facebook, Adobe, Ubisoft, and two NYC startups.
He has built many innovative products using algorithms and data structures, such as Autocorrect and Swipe Typing for the iOS keyboard, Music Recommendation Engine, and Real-Time Optimal Exchange Algorithm. Mircea has been a coding interview and competitive programming coach for over a decade.
Fun fact: Mircea has written a peer reviewed Scientific Paper on Algorithms.
Our Researchers have collaborated with leading institutions
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Yes! The content is designed to equip you with the skills to tackle real-world scientific simulation challenges. We start with basic concepts and progress to advanced techniques, ensuring you're ready to transform theory into practice.
Beginners welcome! While we assume a basic understanding of programming, you don’t need prior experience in scientific simulation. We guide you through every concept step-by-step, making advanced techniques accessible and engaging.
No drip-feeding here! You get immediate access to our entire library of scientific simulation lessons, so you can start coding without delay.
You don't need to know a specific simulation language to start. Our lessons focus on core simulation concepts using clear pseudocode—making them accessible whether you prefer Python, MATLAB, C++, or Fortran.
Every day you delay is another day your research could benefit from advanced simulation skills. Take action now to unlock the full potential of your scientific projects and accelerate your breakthroughs.
Scientific simulation skills open doors to innovative research and career advancement. The knowledge and tools you gain can significantly impact your work—which makes the investment truly worthwhile.
We don't offer refunds under any circumstance. You can try out our free simulation tutorials before deciding to subscribe.
If you decide to cancel, we make the process easy. We’d hate to see you go, but if your needs change, you can cancel with just a few clicks.
AlgoCademy helps you translate scientific ideas into code, guiding you step-by-step to build interactive simulations that drive research innovation.
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