OFFERED IN SPRING 2017, next offering unknown (ask the department if interested).
Make computers work for you!
Class files (including syllabus) are here.
Class will be offered as PHY 3930 (a Special Topics number) in Spring 2017.
This class is for students with a problem-solving mindset who don’t know how to program, or have just taken beginner programming classes. We will learn how to learn new computer skills in preparation for classes, research, and career including:
- Doing science/math/engineering problems with a computer
- Command-line and shell programming
- Programming fundamentals in Python (~1/3 of the course)
- Planning and quickly writing real programs that work!
- Debugging, test-driven development, version control
- Basic numerical computation (integration, interpolation, optimization)
- Scientific plotting, animation, and video
- Basic system management
- Managing project data, planning workflow
What does “with a problem-solving mindset” mean? In the first run of this course, we discovered that most students who were used to solving problems with mathematics took quickly to programming and were writing real programs in a few weeks. Students who were not comfortable solving math problems took much longer. The course has been renamed Introduction to Numerical Computing because it is now aimed at students who can already solve math problems easily. We will not be teaching basic problem-solving skills. Examples and problems will come from a variety of fields, but especially basic physics, astronomy, and math.
Level: Freshman or higher (no experience desired!)
Credits: 3 (3,0)
Meets: TR 12:00 – 1:20 in BA1 110
Prereq: MAC 2311C Calculus I. A laptop with keyboard (Linux, Mac, or Windows, not a netbook, chromebook, tablet, or phone) and a strong desire to tame it! Bring laptop to every class.
Satisfies: Computer programming prerequisite for AST 4762
Physics Graduate Students: You can register for this course out of interest, but the credits do not count toward graduate degree requirements (there may be an exception for MS students in the Bridge program). GTA tuition waiver does not cover tuition, but your advisor may choose to cover tuition, which is at the in-state rate.