Suchergebnis: Katalogdaten im Herbstsemester 2018
Biologie Master | ||||||
Wahlvertiefungen | ||||||
Wahlvertiefung: Neurowissenschaften | ||||||
Wahlpflicht Masterkurse | ||||||
Nummer | Titel | Typ | ECTS | Umfang | Dozierende | |
---|---|---|---|---|---|---|
227-1037-00L | Introduction to Neuroinformatics | W | 6 KP | 2V + 1U | V. Mante, M. Cook, B. Grewe, G. Indiveri, D. Kiper, W. von der Behrens | |
Kurzbeschreibung | The course provides an introduction to the functional properties of neurons. Particularly the description of membrane electrical properties (action potentials, channels), neuronal anatomy, synaptic structures, and neuronal networks. Simple models of computation, learning, and behavior will be explained. Some artificial systems (robot, chip) are presented. | |||||
Lernziel | Understanding computation by neurons and neuronal circuits is one of the great challenges of science. Many different disciplines can contribute their tools and concepts to solving mysteries of neural computation. The goal of this introductory course is to introduce the monocultures of physics, maths, computer science, engineering, biology, psychology, and even philosophy and history, to discover the enchantments and challenges that we all face in taking on this major 21st century problem and how each discipline can contribute to discovering solutions. | |||||
Inhalt | This course considers the structure and function of biological neural networks at different levels. The function of neural networks lies fundamentally in their wiring and in the electro-chemical properties of nerve cell membranes. Thus, the biological structure of the nerve cell needs to be understood if biologically-realistic models are to be constructed. These simpler models are used to estimate the electrical current flow through dendritic cables and explore how a more complex geometry of neurons influences this current flow. The active properties of nerves are studied to understand both sensory transduction and the generation and transmission of nerve impulses along axons. The concept of local neuronal circuits arises in the context of the rules governing the formation of nerve connections and topographic projections within the nervous system. Communication between neurons in the network can be thought of as information flow across synapses, which can be modified by experience. We need an understanding of the action of inhibitory and excitatory neurotransmitters and neuromodulators, so that the dynamics and logic of synapses can be interpreted. Finally, the neural architectures of feedforward and recurrent networks will be discussed in the context of co-ordination, control, and integration of sensory and motor information in neural networks. | |||||
227-1043-00L | Neuroinformatics - Colloquia (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI701 Mind the enrolment deadlines at UZH: Link | E- | 0 KP | 1K | S.‑C. Liu, R. Hahnloser, V. Mante | |
Kurzbeschreibung | Das Kolloquium der Neuroinformatik ist eine Vortragsserie eingeladener Experten. Die Vorträge spiegeln Schwerpunkte aus der Neurobiologie und des Neuromorphic Engineering wider, die speziell für unser Institut von Relevanz sind. | |||||
Lernziel | Die Vorträge informieren Studenten und Forscher über neueste Forschungsergebnisse. Dementsprechend sind die Vorträge primaer nicht fuer wissenschaftliche Laien, sondern für Forschungsspezialisten konzipiert. | |||||
Inhalt | Die Themen haengen stark von den eingeladenen Spezialisten ab und wechseln von Woche zu Woche. Alle Themen beschreiben aber 'Neural computation' und deren Implementierung in biologischen und kuenstlichen Systemen. | |||||
227-1047-00L | Consciousness: From Philosophy to Neuroscience (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI410 Mind the enrolment deadlines at UZH: Link | W | 3 KP | 2V | D. Kiper | |
Kurzbeschreibung | This seminar reviews the philosophical and phenomenological as well as the neurobiological aspects of consciousness. The subjective features of consciousness are explored, and modern research into its neural substrate, particularly in the visual domain, is explained. Emphasis is placed on students developing their own thinking through a discussion-centered course structure. | |||||
Lernziel | The course's goal is to give an overview of the contemporary state of consciousness research, with emphasis on the contributions brought by modern cognitive neuroscience. We aim to clarify concepts, explain their philosophical and scientific backgrounds, and to present experimental protocols that shed light on on a variety of consciousness related issues. | |||||
Inhalt | The course includes discussions of scientific as well as philosophical articles. We review current schools of thought, models of consciousness, and proposals for the neural correlate of consciousness (NCC). | |||||
Skript | None | |||||
Literatur | We display articles pertaining to the issues we cover in the class on the course's webpage. | |||||
Voraussetzungen / Besonderes | Since we are all experts on consciousness, we expect active participation and discussions! | |||||
227-1051-00L | Systems Neuroscience (University of Zurich) No enrolment to this course at ETH Zurich. Book the corresponding module directly at UZH. UZH Module Code: INI415 Mind the enrolment deadlines at UZH: Link | W | 6 KP | 2V + 1U | D. Kiper | |
Kurzbeschreibung | This course focuses on basic aspects of central nervous system physiology, including perception, motor control and cognitive functions. | |||||
Lernziel | To understand the basic concepts underlying perceptual, motor and cognitive functions. | |||||
Inhalt | Main emphasis sensory systems, with complements on motor and cognitive functions. | |||||
Skript | None | |||||
Literatur | "The senses", ed. H. Barlow and J. Mollon, Cambridge. "Principles of Neural Science", Kandel, Schwartz, and Jessel | |||||
Voraussetzungen / Besonderes | none | |||||
376-1414-00L | Current Topics in Brain Research (HS) | W | 1 KP | 1.5K | I. Mansuy, C. Földy, F. Helmchen, S. Jessberger, T. Karayannis | |
Kurzbeschreibung | Es werden verschiedene wissenschaftliche Gäste aus dem In-und Ausland eingeladen, die Ihre aktuellen Forschungsdaten präsentieren und diskutieren. | |||||
Lernziel | Förderung des Austauschs von wissenschaftlichen Erkenntnissen und Daten sowie der Kommunikation und Zusammenarbeit unter den Forschenden. Für Studierende: Kritische Auseinandersetzung mit der aktuellen Forschung. Studierende, welche den Kreditpunkt für dieses Kolloqium erhalten möchten, wählen einen Vortrag aus und schreiben einen kritischen Aufsatz über die vorgestellte Forschungsarbeit. | |||||
Inhalt | Verschiedene wissenschaftliche Gäste aus den Bereichen Molekulares Bewusstsein, Neurochemie, Neuromorphologie und Neurophysiologie berichten über ihre neuesten wissenschaftlichen Erkenntnisse. | |||||
Skript | kein Skript | |||||
Literatur | keine | |||||
Voraussetzungen / Besonderes | Einige der Seminare werden mit dem Institut für Neuroinformatik (INI) der Universität Zürich geteilt. | |||||
551-1145-00L | Viral and non-Viral Vectors for Human Gene-Therapy - from Pathogens to Safe Medical Applications Der Kurs muss direkt an der UZH belegt werden. UZH Modulkürzel: BIO708 Beachten Sie die Einschreibungstermine an der UZH: Link | W | 2 KP | 3V | Uni-Dozierende | |
Kurzbeschreibung | Basic aspects of virology, the viral mechanisms for transfer of genetic material into cells, different vector-systems and target cells, animal models, specific applications for inborn diseases of the immune system and of metabolism, adverse effects, and new developments of vector systems will be taught. | |||||
Lernziel | Knowledge of important viral and non-viral vector systems. Knowledge of application in human diseases. Knowledge of limiting factors. | |||||
636-0017-00L | Computational Biology | W | 6 KP | 3G + 2A | T. Stadler, C. Magnus, T. Vaughan | |
Kurzbeschreibung | The aim of the course is to provide up-to-date knowledge on how we can study biological processes using genetic sequencing data. Computational algorithms extracting biological information from genetic sequence data are discussed, and statistical tools to understand this information in detail are introduced. | |||||
Lernziel | Attendees will learn which information is contained in genetic sequencing data and how to extract information from this data using computational tools. The main concepts introduced are: * stochastic models in molecular evolution * phylogenetic & phylodynamic inference * maximum likelihood and Bayesian statistics Attendees will apply these concepts to a number of applications yielding biological insight into: * epidemiology * pathogen evolution * macroevolution of species | |||||
Inhalt | The course consists of four parts. We first introduce modern genetic sequencing technology, and algorithms to obtain sequence alignments from the output of the sequencers. We then present methods for direct alignment analysis using approaches such as BLAST and GWAS. Second, we introduce mechanisms and concepts of molecular evolution, i.e. we discuss how genetic sequences change over time. Third, we employ evolutionary concepts to infer ancestral relationships between organisms based on their genetic sequences, i.e. we discuss methods to infer genealogies and phylogenies. Lastly, we introduce the field of phylodynamics, the aim of which is to understand and quantify population dynamic processes (such as transmission in epidemiology or speciation & extinction in macroevolution) based on a phylogeny. Throughout the class, the models and methods are illustrated on different datasets giving insight into the epidemiology and evolution of a range of infectious diseases (e.g. HIV, HCV, influenza, Ebola). Applications of the methods to the field of macroevolution provide insight into the evolution and ecology of different species clades. Students will be trained in the algorithms and their application both on paper and in silico as part of the exercises. | |||||
Skript | Lecture slides will be available on moodle. | |||||
Literatur | The course is not based on any of the textbooks below, but they are excellent choices as accompanying material: * Yang, Z. 2006. Computational Molecular Evolution. * Felsenstein, J. 2004. Inferring Phylogenies. * Semple, C. & Steel, M. 2003. Phylogenetics. * Drummond, A. & Bouckaert, R. 2015. Bayesian evolutionary analysis with BEAST. | |||||
Voraussetzungen / Besonderes | Basic knowledge in linear algebra, analysis, and statistics will be helpful. Programming in R will be required for the project work (compulsory continuous performance assessments). We provide an R tutorial and help sessions during the first two weeks of class to learn the required skills. However, in case you do not have any previous experience with R, we strongly recommend to get familiar with R prior to the semester start. For the D-BSSE students, we highly recommend the voluntary course „Introduction to Programming“, which takes place at D-BSSE from Wednesday, September 12 to Friday, September 14, i.e. BEFORE the official semester starting date Link For the Zurich-based students without R experience, we recommend the R course Link, or working through the script provided as part of this R course. | |||||
551-1407-00L | RNA Biology Lecture Series I: Transcription & Processing & Translation | W | 4 KP | 2V | F. Allain, N. Ban, U. Kutay, weitere Dozierende | |
Kurzbeschreibung | This course covers aspects of RNA biology related to gene expression at the posttranscriptional level. These include RNA transcription, processing, alternative splicing, editing, export and translation. | |||||
Lernziel | The students should obtain an understanding of these processes, which are at work during gene expression. | |||||
Inhalt | Transcription & 3'end formation ; splicing, alternative splicing, RNA editing; the ribosome & translation, translation regulation, RNP biogenesis & nuclear export, mRNA surveillance & mRNA turnover; signal transduction & RNA. | |||||
Voraussetzungen / Besonderes | Basic knowledge of cell and molecular biology. | |||||
551-1409-00L | RNA Biology Lecture Series II: Non-coding RNAs: Biology and Therapeutics Findet dieses Semester nicht statt. | W | 4 KP | 2V | J. Hall, M. Stoffel, weitere Dozierende | |
Kurzbeschreibung | This course covers aspects of RNA biology related to the functions of non-coding RNAs as well as their use as drugs to treat diseases. | |||||
Lernziel | The students should get familiar with the wide array of roles, which non-coding RNAs play in cellular functions. | |||||
Inhalt | Micro RNAs; computational approaches to miRNAs; micro RNA function in metabolism; viruses and viral RNAs; nucleic acid-based drugs; ncRNA-mediated genome regulation; epigenetic programming of genome remodelling in ciliates; telomerase and telomeres; tRNA biology. Link | |||||
Voraussetzungen / Besonderes | Basic knowledge of cell and molecular biology. |
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