BIOENG-310 / 6 credits

Teacher(s): Schrimpf Martin, Zenk Fides

Language: English


Summary

This overview course bridges computational expertise with neuroscience fundamentals, aimed at fostering interdisciplinary communication and collaboration for engineering-based neuroscience programs.

Content

All content will combine experimental data and findings with computational models.

  • Introduction to cellular and molecular biology
  • Introduction to neuroscience
  • Neural communication
  • Individual neurons and small neural populations
  • Sensory systems and perception I - Vision
  • Sensory systems and perception II -Audition, Somatosensation
  • Learning: Neuroplasticity and Molecular Mechanisms of Learning
  • Motor Control I - Systems
  • Motor Control II - Molecular
  • Cognitive Neuroscience I - Sytems
  • Cognitive Neuroscience II - Molecular
  • Molecular Genetics in Neuroscience
  • Neuropharmacology and Drug Design

Learning Prerequisites

Important concepts to start the course

Programming

Learning Outcomes

By the end of the course, the student must be able to:

  • Interpret experimental data in neuroscience
  • Analyze experimental data in neuroscience
  • Describe basic concepts in biology, neuroscience
  • Describe basic computational tools and models in neuroscience
  • Integrate biological and computational concepts in neuroscience

Teaching methods

  • Lectures
  • Practical tutorials and exercises
  • Journal Club or Poster Presentation
  • Excursions

Expected student activities

  • Attend lectures and take notes
  • Participate and prepare for tutorials and exercises
  • Work on exercises in a group

Assessment methods

  • 70% final exam
  • 15% computational exercise
  • 15% presentation exercise

Supervision

Office hours No
Assistants Yes

Resources

Moodle Link

Prerequisite for

This course will prepare students for the Neuro-X Master program.

In the programs

  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Neuroscience foundations for engineers
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 3 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Neuroscience foundations for engineers
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 3 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: Written (summer session)
  • Subject examined: Neuroscience foundations for engineers
  • Lecture: 3 Hour(s) per week x 14 weeks
  • Exercises: 3 Hour(s) per week x 14 weeks
  • Type: optional

Reference week

Related courses

Results from graphsearch.epfl.ch.