Applied Eng for Behav Neurosc

1 Credit · Level: Graduate

Applied Engineering for Behavioral Neuroscience is an entry-level course in coding, electronics, and 3D printing for research applications. As neuroscience increasingly intersects with technology, coding and engineering skills have become essential tools for modern research. This entry-level course introduces fundamental programming concepts, basic electrical circuit design, and the interface between hardware and software using platforms like the Arduino Uno and the Raspberry Pi. As this course is intended for beginners, no prior coding or engineering experience is required. Through interactive lectures and hands-on workshops, students will build custom software and hardware for data collection and analysis. We will also discuss the role of 3D printing for rapid prototyping. This course bridges core engineering principles with neuroscience, preparing students to design, build, and implement innovative tools for scientific discovery. Students will complete small projects throughout the course building both software and hardware tools for data collection and analysis.