Integrating Programming into Neuroscience Courses.

Ashley L Juavinett
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Abstract

Programming is a useful skill for students, both in neuroscience research and in the broader economy. Many instructors, however, may wonder how and when they should integrate it into their coursework, especially if they themselves have limited computational training. The suggestions offered here aim to help a wide range of educators - even those who have minimal coding experience - who wish to expose their students to the intersection of neuroscience and programming. Throughout, I provide examples of how I have weaved coding into various elements of neuroscience courses, even those without a computational focus. I also discuss the rich landscape of low-cost, accessible programming tools as well as how generative AI can (and should) impact the way that we are teaching programming. Ultimately, the goal is not to insist that all our students learn how to code, but rather to lower barriers and provide exposure and opportunity to any student who wishes to integrate programming into their research or careers.

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将编程融入神经科学课程。
无论是在神经科学研究还是在更广泛的经济领域,编程对学生来说都是一项有用的技能。然而,许多教师可能不知道应该如何以及何时将编程融入他们的课程,尤其是如果他们本身的计算训练有限的话。本文提出的建议旨在帮助希望让学生接触神经科学与编程交叉学科的广大教育工作者,甚至是那些只有极少编码经验的教育工作者。在本文中,我将举例说明我是如何将编码融入神经科学课程的各种元素中的,即使是那些不以计算为重点的课程。我还讨论了低成本、易获取的编程工具的丰富内涵,以及生成式人工智能如何(也应该)影响我们的编程教学方式。归根结底,我们的目标不是坚持让所有学生都学会编程,而是降低门槛,为任何希望将编程融入研究或职业生涯的学生提供接触编程的机会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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