Linear Algebra or Computer Science?

[Daniel Sellers]

I am going to have two slots available this year for electives and I want to use one of them for Astronomy. For the other, I am struggling to decide between Linear Algebra or Computer Science (CIS 210 at my university) which focuses on Python programming.

If I can only choose one, which is more useful for an undergraduate physics student? Both linear algebra and Python can be easily be studied online (I know because I have studied both online) but I've always appreciated the benefits of a structured class over independent study.

Anyone think that one is definitively more useful than the other? At least in a short-term academic context?

 

[Dr. Courtney]

Learn to program. That will open the door to work in the labs of experimentalists much more than linear algebra.

 

[S.G. Janssens]

Obtain a solid basis in linear algebra by attending lectures and getting live feedback on your work.
Learn Python programming by yourself from a good resource.

No matter what you will want to do (experimental or theoretical work), linear algebra is an essential part of the basis for any kind of quantitative science.
You can also use what you learn in linear algebra to experiment with NumPy.

 

[Daniel Sellers]

So I have one reply saying that learning Python is the way to go because it opens up more lab opportunities ( I am planning to obtain some lab-based research experience next summer) and another reply saying that linear algebra is essential to all types of work as a physicist.

To be clear, I'm planning to learn both, and have been already. I'm just trying to decide which one is more worth taking as a formal course.

Thanks for the replies!

 

[S.G. Janssens]

I'm just trying to decide which one is more worth taking as a formal course.

Yes, that was what I had in mind when I replied. I think these days both subjects are of great importance in quantitative work, and I do not want to underestimate the value of programming skills. However, when I think about which one is better taken as a formal course, I come to my conclusion as above.

Ideally, you would take a somewhat more applied linear algebra course that uses scientific python as a programming environment, but this may simply not be on offer.

 

[Daniel Sellers]

Yes, that was what I had in mind when I replied. I think these days both subjects are of great importance in quantitative work, and I do not want to underestimate the value of programming skills. However, when I think about which one is better taken as a formal course, I come to my conclusion as above.

Ideally, you would take a somewhat more applied linear algebra course that uses scientific python as a programming environment, but this may simply not be on offer.

That makes sense, especially since applicable Python skills are likely to a be a part of my lab courses anyway. There is also a wide variety of Python tutorials and forums online from which to learn.

That helps, thanks again!