This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, MATLAB®, and Mathematica®. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages. Students first learn the basic usage of each language, common types of problems encountered, and techniques for solving a variety of problems encountered in contemporary research: examination of data with visualization techniques, numerical analysis, and methods of dissemination and verification. No prior programming experience is required.
This course introduces programming languages and techniques used by physical scientists: FORTRAN, C, C++, Matlab, and Mathematica. Emphasis is placed on program design, algorithm development and verification, and comparative advantages and disadvantages of different languages.
" Ever hang your head in shame after your Python program wasn't as fast as your friend's C program? Ever wish you could use objects without having to use Java? Join us for this fun introduction to C and C++! We will take you through a tour that will start with writing simple C programs, go deep into the caves of C memory manipulation, resurface with an introduction to using C++ classes, dive deeper into advanced C++ class use and the C++ Standard Template Libraries. We'll wrap up by teaching you some tricks of the trade that you may need for tech interviews. We see this as a "C/C++ empowerment" course: we want you to come away understanding why you would want to use C over another language (control over memory, probably for performance reasons), why you would want to use C++ rather than C (objects), and how to be useful in C and C++. This course is offered during the Independent Activities Period (IAP), which is a special 4-week term at MIT that runs from the first week of January until the end of the month."
The book is the textbook for the programming languages course at Brown University, which is taken primarily by third and fourth year undergraduates and beginning graduate (both MS and PhD) students. The text melds these two approaches. Concretely, students program with a new set of features first, then try to distill those principles into an actual interpreter
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