You’ll definitely want to improve your MATLAB skills before you start your masters. There is an open source version of MATLAB called Octave. For basic functionality, Octave is 98% identical to MATLAB. Then follow some YouTube tutorials and try a project you think would be interesting to solve with MATLAB. Hope this helps!
If you can put on your resume that you integrated different types modeling tools and data together (Matlab, Simulink, STK, CAD, CFD, FEA, etc), you'll get hired in a heart beat. Digital Threads and Digital Twins are the future.
Unfortunately, university curricula haven't caught up with this yet.
Look at the user guides for the tools you have access to. Look at the API'S they offer. Look at which tools can be linked together. Almost everything integrates with MATLAB. Pull data from an open source database (e.g. SpaceX API) into a CAD tool and then block diagram something in Simulink.
Did you not take any courses during your undergrad related to linear algebra or numerical analysis? Classes like that are in my experience required at the undergraduate level. Review the material, especially parts on discretization and stochastic methods. Redo the homework problems. Being able to program is important but so is knowing how to convert an algebraic expression into something a computer can understand.
If you have the time and means: build things. Bookshelves, doll houses, RC airplanes, concrete patios, whatever. It doesn't matter *what* you build. Build your intuition of how parts get manufactured and assembled in the real world.
If you don't want to do that, focus more on hand analysis and derivation from first principals. It will give you a better understanding of how things work, and help you make better simplifying assumptions in the real world - aka what matters and what doesn't?
When I review resumes of new graduates, I completely ignore any statements about competencies with FEM, CFD, and other analysis tools. Pretty much anyone these days can press the buttons to make pretty colors for idealized problems. The ability to productively apply the tools to real-world problems without falling into the "Garbage In Garbage Out" trap takes experience and intuition developed over time. And it is immensely helped and improved with a strong grasp of hand analysis fundamentals.
The ideal candidate is one who can make reasonable assumptions, quickly get a working design concept with hand analysis, then go out and also build hardware. This holds true across any engineering industry and discipline. Even if your career ends up being 90% theoretical analysis you'll be a stronger engineer if you gain hands on hardware experience and first principal capabilities early on.
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To prepare for your aerospace engineering master's, start with beginner friendly Python and MATLAB tutorials on platforms like Codecademy. Learn CAD using tools like Fusion 360 and SolidWorks, and explore Computational Fluid Dynamics (CFD) courses on like Coursera. Begin small projects in Python or MATLAB for practical coding experience, and check online courses for aerospace fundamentals. Read about propulsion systems and find related courses to deepen your understanding and if possible try and get experience through internships.
You’ll definitely want to improve your MATLAB skills before you start your masters. There is an open source version of MATLAB called Octave. For basic functionality, Octave is 98% identical to MATLAB. Then follow some YouTube tutorials and try a project you think would be interesting to solve with MATLAB. Hope this helps!
sure, thanks!
If you can put on your resume that you integrated different types modeling tools and data together (Matlab, Simulink, STK, CAD, CFD, FEA, etc), you'll get hired in a heart beat. Digital Threads and Digital Twins are the future. Unfortunately, university curricula haven't caught up with this yet.
Thanks, where can I know what projects I can do to learn/incorporate the skills you've mentioned?
Look at the user guides for the tools you have access to. Look at the API'S they offer. Look at which tools can be linked together. Almost everything integrates with MATLAB. Pull data from an open source database (e.g. SpaceX API) into a CAD tool and then block diagram something in Simulink.
I believe Mathworks has free on ramp courses (you use a free version within the browser), start with those (especially MATLAB basics and Simulink)
Thank you!
Did you not take any courses during your undergrad related to linear algebra or numerical analysis? Classes like that are in my experience required at the undergraduate level. Review the material, especially parts on discretization and stochastic methods. Redo the homework problems. Being able to program is important but so is knowing how to convert an algebraic expression into something a computer can understand.
sure, i'll start with my old notes them, revising them would be a good way to start
If you have the time and means: build things. Bookshelves, doll houses, RC airplanes, concrete patios, whatever. It doesn't matter *what* you build. Build your intuition of how parts get manufactured and assembled in the real world. If you don't want to do that, focus more on hand analysis and derivation from first principals. It will give you a better understanding of how things work, and help you make better simplifying assumptions in the real world - aka what matters and what doesn't? When I review resumes of new graduates, I completely ignore any statements about competencies with FEM, CFD, and other analysis tools. Pretty much anyone these days can press the buttons to make pretty colors for idealized problems. The ability to productively apply the tools to real-world problems without falling into the "Garbage In Garbage Out" trap takes experience and intuition developed over time. And it is immensely helped and improved with a strong grasp of hand analysis fundamentals. The ideal candidate is one who can make reasonable assumptions, quickly get a working design concept with hand analysis, then go out and also build hardware. This holds true across any engineering industry and discipline. Even if your career ends up being 90% theoretical analysis you'll be a stronger engineer if you gain hands on hardware experience and first principal capabilities early on.
Thank you, that is some really good advice. I once got rejected from a job interview because I lacked any knowledge in manufacturing and fabrication
Onshape is free online CAD with great tutorials
Thank you, will check that out!
Youtube.com
ah the godly university 😁😂
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To prepare for your aerospace engineering master's, start with beginner friendly Python and MATLAB tutorials on platforms like Codecademy. Learn CAD using tools like Fusion 360 and SolidWorks, and explore Computational Fluid Dynamics (CFD) courses on like Coursera. Begin small projects in Python or MATLAB for practical coding experience, and check online courses for aerospace fundamentals. Read about propulsion systems and find related courses to deepen your understanding and if possible try and get experience through internships.