What can I do during the summer to prepare me for a career in mechanical engineering?
I am particularly interested in applying mechanical engineering to artificial intelligence. #engineering #mechanical-engineering
2 answers
Nastaran’s Answer
Applications of AI in mechanical engineering are very interesting and challenging. To prepare yourself, I suggest these steps:
- learn how to write codes efficiently: For example, first learn a programming language such as Python and try to practice that by writing different codes. Then, try to learn more about the fundamental aspects of writing a good computer programs. There are several high-quality courses available online. Some youtube channels are very good to start coding as well.
- familiarize yourself with applications of AI in mechanical engineering: watch videos and read about the application of AI, talk to experts or ask your question in forums, ...
- learn how AI works: there are good courses which can be very helpful. You may also want to join a study groups.
- solve an applied problem in mechanical engineering using AI: once you have all these elements, you can pick a simple applied problem and try to solve it to see how it works.
M. A. Rafe’s Answer
You are looking into a very diverse knowledge based specialized field of interest. Artificial intelligence (AI) itself is a combination of many different topics including computer programming, statistics, calculus and logic. Mechanical engineering can take you to various fields where AI could be applied: aerospace, automotive, manufacturing, etc. So there are many things you can spend time to build your skillsets. Here are few things I recommend to do during summer and even during the regular academic year if you can:
- A camp or afterschool program on robotics
- Programming camp, online crash course or afterschool program
- 3-D printing camps
- Help an open-source non-profit projects online or a project at universities
- Internships at companies or universities
As a university faculty, I am actually working on projects related to machine learning and thermal fluid sciences within mechanical engineering. It is possible you may find a faculty at a university in your area, who is already working in that field and could be willing to take on volunteers (or paid positions if attending the university) to help on such projects. These are only a few items that I mentioned. There is so much more out there that you can explore.
M. A. Rafe recommends the following next steps: