Quantitative Approaches in Neurobiology

Description from DukeHub

Through lectures and hands-on problem solving, this course will provide students with a working, practicable background in coding in matlab, the fundamentals of statistics, and theoretical and computational neuroscience. The material will be oriented strongly towards the needs of working neurobiologists, and will require considerable independent work. Consent of instructor is required.

Skills

• data and statisticstitle: "quantitative"
• programmingAI review: "coding in matlab"

AI-resilient: 1 of 5 1/5

• ✓Yes: Physical, lab or field work · "hands-on"
• No: Live work with people
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in NEUROBIO

• Concepts in Neuroscience II: Principles of Organization of Neuronal Systems NEUROBIO 720
• Neurobiology Journal Club NEUROBIO 726S
• Principles in Cognitive Neuroscience I NEUROBIO 759S
• Neurobiology of Disease NEUROBIO 762
• Student Seminar (Topics) NEUROBIO 790S

All NEUROBIO courses · All of Graduate School