Advice for my first course in Discrete Signal Processing?

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Taking a graduate course in Digital Signal Processing (DSP) using the 4th edition of Proakis can be an exciting yet challenging experience. Key advice includes familiarizing yourself with the software tools likely to be used, such as MATLAB or Python, as these will be essential for completing homework assignments. It's recommended to check with the professor regarding the specific software requirements early on. The course will heavily involve concepts like the z-transform and matrix operations, which are fundamental to DSP. Engaging with online resources, such as Coursera reviews, can provide additional insights into the course structure and student experiences. Overall, preparation and understanding of the software tools and mathematical concepts will be crucial for success in the course.
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Summary:: I'm about to take my first course in DSP. It is a one term graduate course using the 4th edition of Proakis.

I'm about to take my first course in DSP. It is a one term graduate EE course using the 4th edition of Proakis. Does anyone with experience in this have useful advice for such a course? Having never taken such a class, I don't really know what to expect from the subject.
 
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There is a good chance you will be using MATLAB toolboxes or Python, or other software for homework. You may try to get a head's up from the prof as to what software will be used, so you can become familiar with it. I never used Proakis, but I am a bit familiar with Oppenheim and Schaefer. I cannot say anything about Proakis but it is probably newer. I bought the Oppenheim and Schaefer in 1984.

My understanding is z-transform is used a lot. Matrix powers replace theMatrix exponential, etc.
 
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Thank you both very much.
 
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