Mehmet Fatih Yanik: Catalogue data in Autumn Semester 2022

Name Prof. Dr. Mehmet Fatih Yanik
FieldNeurotechnology
Address
Professur für Neurotechnologie
ETH Zürich, Y17 L 76
Winterthurerstrasse 190
8057 Zürich
SWITZERLAND
Telephone+41 44 633 31 65
E-mailyanik@ethz.ch
URLhttps://neurotechnology.ethz.ch
DepartmentInformation Technology and Electrical Engineering
RelationshipFull Professor

NumberTitleECTSHoursLecturers
227-0393-10LBioelectronics and Biosensors Information 6 credits2V + 2UJ. Vörös, M. F. Yanik
AbstractThe course introduces bioelectricity and the sensing concepts that enable obtaining information about neurons and their networks. The sources of electrical fields and currents in the context of biological systems are discussed. The fundamental concepts and challenges of measuring bioelectronic signals and the basic concepts to record optogenetically modified organisms are introduced.
ObjectiveDuring this course the students will:
- learn the basic concepts in bioelectronics including the sources of bioelectronic signals and the methods to measure them
- be able to solve typical problems in bioelectronics
- learn about the remaining challenges in this field
ContentLecture topics:

1. Introduction

Sources of bioelectronic signals
2. Membrane and Transport
3-4. Action potential and Hodgkin-Huxley

Measuring bioelectronic signals
5. Detection and Noise
6. Measuring currents in solutions, nanopore sensing and patch clamp pipettes
7. Measuring potentials in solution and core conductance model
8. Measuring electronic signals with wearable electronics, ECG, EEG
9. Measuring mechanical signals with bioelectronics

In vivo stimulation and recording
10. Functional electric stimulation
11. In vivo electrophysiology

Optical recording and control of neurons (optogenetics)
12. Measuring neurons optically, fundamentals of optical microscopy
13. Fluorescent probes and scanning microscopy, optogenetics, in vivo microscopy

14. Measuring biochemical signals
Lecture notesA detailed script is provided to each lecture including the exercises and their solutions.
LiteraturePlonsey and Barr, Bioelectricity: A Quantitative Approach (Third edition)
Prerequisites / NoticeThe course requires an open attitude to the interdisciplinary approach of bioelectronics.
In addition, it requires undergraduate entry-level familiarity with electric & magnetic fields/forces, resistors, capacitors, electric circuits, differential equations, calculus, probability calculus, Fourier transformation & frequency domain, lenses / light propagation / refractive index, pressure, diffusion AND basic knowledge of biology and chemistry (e.g. understanding the concepts of concentration, valence, reactants-products, etc.).
CompetenciesCompetencies
Subject-specific CompetenciesConcepts and Theoriesassessed
Techniques and Technologiesassessed
Method-specific CompetenciesAnalytical Competenciesassessed
Decision-makingfostered
Media and Digital Technologiesfostered
Problem-solvingassessed
Project Managementfostered
Social CompetenciesCommunicationfostered
Cooperation and Teamworkfostered
Customer Orientationfostered
Leadership and Responsibilityfostered
Self-presentation and Social Influence fostered
Sensitivity to Diversityfostered
Negotiationfostered
Personal CompetenciesAdaptability and Flexibilityfostered
Creative Thinkingassessed
Critical Thinkingassessed
Integrity and Work Ethicsfostered
Self-awareness and Self-reflection fostered
Self-direction and Self-management fostered
227-1036-01LNSC Master Short Project I (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
UZH Module Code: INI505

Mind the enrolment deadlines at UZH:
Link
8 credits17AM. F. Yanik
AbstractUsually a student selects the topic of a Master Short Project in consultation with his or her mentor.
Objectivesee above
227-1036-02LNSC Master Short Project II (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
UZH Module Code: INI506

Mind the enrolment deadlines at UZH:
Link
8 credits17AM. F. Yanik
AbstractUsually a student selects the topic of a Master Short Project in consultation with his or her mentor.
Objectivesee above
227-1041-01LNSC Master's Thesis (long) and Exam (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
UZH Module Code: INI503

Mind the enrolment deadlines at UZH:
Link

Only students who fulfil the following criteria are allowed to begin with their master thesis:
a. successful completion of the bachelor programme;
b. fulfilling of any additional requirements necessary to gain admission to the master programme.
45 credits96DM. F. Yanik
AbstractThe Master thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working.
Objectivesee above
227-1041-02LNSC Master's Thesis (short) and Exam (University of Zurich)
No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH as an incoming student.
UZH Module Code: INI504

Mind the enrolment deadlines at UZH:
Link

Only students who fulfil the following criteria are allowed to begin with their master thesis:
a. successful completion of the bachelor programme;
b. fulfilling of any additional requirements necessary to gain admission to the master programme.
29 credits62DM. F. Yanik
AbstractThe Master thesis concludes the study programme. Thesis work should prove the students' ability to independent, structured and scientific working.
Objectivesee above