Introduction to Computational Neuroscience

AiN summer school equips you with the essential tools and knowledge to explore the brain through the lens of computers and algorithms. Whether you're a neuroscience enthusiast or a programming wizard, this program empowers you to understand the mind's complex workings through the power of code.

More Than Just Knowledge: AiN summer school is about igniting your passion, building a vibrant community of like-minded individuals, and empowering you to become a pioneer in the field of computational neuroscience.

The summer school 2024 will be 3 weeks, from August 11 until August 30.

Applications will open from April 15 until May 7.

Students Application

Teaching Assistants Application

Why Computational Neuroscience?

Imagine decoding the language of neurons, predicting behavior patterns, or even developing brain-computer interfaces; this is the realm of computational neuroscience.

It's not just about cool brain facts; it's about applying computational tools to unlock the mysteries of the mind, holding the potential to revolutionize fields like healthcare, education, and artificial intelligence.

What to Expect

Our instructors, who are experts in their respective fields, will guide you through a comprehensive curriculum covering programming with Python, linear algebra, calculus, statistics, and basic neuroscience principles.

Whether you're a beginner or looking to deepen your understanding, our course offers something for everyone.

Interactive Learning Experience

Engage with our course materials, including tutorials, videos, and slides, carefully curated to enhance your learning journey.

With a blend of pre-recorded lectures and live Q&A sessions, you'll have ample opportunities to clarify doubts and interact with instructors.

Join Our Community

We welcome Arabic-speaking participants from every corner of the globe, fostering a vibrant and inclusive learning environment.

Connect with like-minded individuals, exchange ideas, and forge lifelong connections with peers and mentors.

Learning Experience Details

  • Time Commitment: The course requires a dedicated effort for three weeks, with participants expected to devote 4-6 hours per day, Monday to Friday.
  • Organization: Participants will be organized into small groups, consisting of 10 students each, along with a teaching assistant. This structure facilitates collaborative learning and personalized support throughout the course.
  • Daily Schedule: Each day, students will follow a structured schedule, which includes:
    • Watching prerecorded video lectures covering essential topics.
    • Participating in live coding sessions with their pod to reinforce learning and practical application.
    • Engaging in interactive Q&A sessions with instructors to clarify doubts and deepen understanding.
  • Tools Used:
    • Video Conferencing Live sessions will be conducted, providing an interactive platform for real-time engagement with instructors and peers.
    • Google Colab: Coding sessions will utilize Google Colab, offering a collaborative environment for coding in Python and accessing course materials.
    • Discord: Participants will join AiN Discord community, facilitating collaboration and support outside of scheduled sessions.
    • YouTube: Prerecorded video lectures will be hosted on YouTube, providing convenient access to course content.
  • Detailed Schedule: A detailed schedule outlining daily activities and assignments will be provided in the Course Details page, ensuring clarity and organization throughout the learning journey.

Application Details

Apply through the provided form link and await an acceptance email with setup instructions.

Applications close on May 7, 2024

Don't miss out on this chance to embark on a transformative learning journey!

Students

  • Commitment: Full-time attendance required with no more than two absences.
  • Group Dynamics: Placed in groups applicationDeadline about 10 with a teaching assistant.
  • Engagement: Expected to participate in discussions, tutorials, and the final project.
  • Outcome: Receive a certificate upon completion, including a collaborative team project presentation.

Teaching Assistants

  • Role: Lead students group and assist them with the tutorials and the final project.
  • Responsibilities: Facilitate problem-based learning, offer expertise, and support collaborative learning.
  • Position: Full-time, temporary, contracted role with payment.
  • Benefits: Receive a certificate and may request a recommendation letter.

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