Computer Science vs. CDS (Computing for Scientists)?

AI Thread Summary
The discussion centers on whether a second-year physics student should take Computer Science (CS) classes or a Computing for Scientists (CDS) course. The student acknowledges the importance of programming skills for research and industry but questions the necessity of a formal course, believing that programming can be self-taught. There is a focus on the content of the CDS course, which includes practical applications like scientific problem-solving, data analysis, and effective communication. The student finds the course potentially beneficial, suggesting it may provide valuable skills for future academic and professional endeavors. Overall, the conversation emphasizes the relevance of programming in science and the practical benefits of the CDS course.
kkefalas
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I'll be a 2nd year physics student next year, and my question is should I start taking some CS classes or take CDS (Computing for Scientists)? I've heard programming is very useful for someone trying to get into research or industry, but Computing for Scientists looks obviously useful as well.

Any thoughts?
 
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I feel as though the later will require programming skills, which in my humble opinion can be obtained without taking a course. It may be easier to pace things out but I'm a decent programmer and I've never taken a course.
 
What topics does your Computing for Scientists course cover? I don't think they're standardized as much as, say, first year intro physics, so it's hard to say how useful a particular course is, just from the title.
 
jtbell said:
What topics does your Computing for Scientists course cover? I don't think they're standardized as much as, say, first year intro physics, so it's hard to say how useful a particular course is, just from the title.

From the college's website:
"Covers use of computers to solve practical scientific problems. Topics include creating effective scientific presentations, analysis of experimental data, online literature, data/information ethics, scientific modeling, and communication/collaboration tools. Designed to equip students with the knowledge and confidence they need to use future hardware and software systems both as a student and throughout their scientific career."
sounds very useful I think I may stick with it
 
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