Academic Planning and Graduate School

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SUMMARY

The discussion centers on a final-year Bachelor of Science student seeking guidance on preparing for graduate studies in theoretical and computational neuroscience. The student has an interdisciplinary background with courses in psychopharmacology, advanced neuroscience, thermodynamics, and advanced mathematics. To enhance their readiness for graduate-level research, they are considering additional undergraduate coursework in advanced computer science and applied mathematics. The student specifically requests recommendations for relevant courses, textbooks, and online resources such as MIT OpenCourseWare.

PREREQUISITES
  • Understanding of theoretical and computational neuroscience concepts
  • Familiarity with advanced mathematics, particularly calculus and linear algebra
  • Knowledge of psychopharmacology and neuropsychology
  • Basic programming skills, preferably in Python or MATLAB for computational tasks
NEXT STEPS
  • Research advanced computer science courses focusing on algorithms and data structures
  • Explore applied mathematics topics such as differential equations and statistical methods
  • Investigate relevant textbooks like "Computational Neuroscience: A Comprehensive Approach" by Peter Dayan and Laurence F. Abbott
  • Utilize MIT OpenCourseWare to access courses in neuroscience and machine learning
USEFUL FOR

This discussion is beneficial for undergraduate students in interdisciplinary science fields, prospective graduate students in neuroscience, and anyone looking to strengthen their foundational knowledge in computational methods relevant to neuroscience research.

CopperNerves
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Hello Everyone!

I'm currently in the final year of my Bachelor of Science, and I'm interested in pursuing graduate studies in theoretical/computational neuroscience. Unfortunately, I don't feel prepared for graduate level study/research in this discipline. Therefore, I'm contemplating taking an additional year, or two, of undergraduate studies to develop more foundational knowledge and skills. With that in mind, I could really use some outside insight into what courses I should be taking, textbooks I should be reading, or MITOCW courses I should be learning on my own.

So, to make giving advice easier, I will start by stating my current degree is unconventional. It's highly interdisciplinary and doesn't fit nicely under the umbrella of any major. However, I think a quick list of my senior-level courses will give a general idea of what I know:
Psychopharmacology & Advanced Pharmacology
Advanced Neuroscience, Neuropsychology I & II, Evolutionary Psychology, & Psychopathology
Thermodynamics, Quantum Mechanics, & Electromagnetism
Molecular Physiology I & II, Histology, & Molecular Genetics
Point-Set Topology & Analysis (Calculus I-IV)
Organic Synthesis & Drug Design

My biggest concern is that despite taking a lot of courses in a variety of disciplines, I find it incredibly difficult to integrate ideas. I'm made especially aware of this when I read articles from Frontiers in Computational Neuroscience or Neuroinformatics.

I'm thinking that it'd be to my benefit to take some advanced computer science courses, and more 'applied' mathematics. But, I'm open to suggestions.

Thank you for reading!
 
Physics news on Phys.org
What's your current BS degree in?
 
SteamKing said:
What's your current BS degree in?

I didn't major in anything.
 

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