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Searching for 'merle doherr belik' returned 24 results.

  • 085015Introductory Course / Seminar
    Wissenschaftliche Arbeitsmethoden I (Roswitha Merle)
    Schedule: Do 10:00-11:30 (Class starts on: 2024-10-17)
    Location: RvO Seminarraum, R042 (R.-v.-Ostertag-Str. 7-13)

    Information for students

    1. Semesterhälfte

  • 085016Introductory Course / Seminar
    Wissenschaftliche Arbeitsmethoden II (Roswitha Merle)
    Schedule: Do 11:30-13:00 (Class starts on: 2024-10-17)
    Location: RvO Seminarraum, R042 (R.-v.-Ostertag-Str. 7-13)

    Information for students

    1. SH

  • 085017Introductory Course / Seminar
    Wissenschaftliche Arbeitsmethoden III (Macus Doherr und Mitarbeiter)
    Schedule: Di 13:00-15:15 (Class starts on: 2024-12-10)
    Location: Seminarraum Biometrie (Königsweg 61-69)

    Information for students

    Blockveranstaltung; Termine nach Absprache

    Additional information / Pre-requisites

    Die Teilnahme an (i) 5 der 6 Präsenztermine, (ii) der Gruppenarbeit zur Postererstellung sowie (iii) das Halten eines eigenen Vortrags sind Voraussetzung für die erfolgreiche Teilnahme an der Lehrveranstaltung.

    Comments

    Blockveranstaltung; von den 8 bis Semesterende verfügbaren Termine werden 6 als Präsenztermine gestaltet. Die Festlegung der Präsenztermine erfolgt zu Beginn des Wintersemesters. Im Rahmen der Veranstaltung müssen die Studierenden in Gruppen ein wissenschaftliches Poster erstellen sowie an einem von zwei Kurs-Symposiumtagen eine eigene kurze Präsentation (Vortrag) halten. Diese Präsentation wird als Video aufgezeichnet und individuell mit der/dem Vortragenden analysiert.

  • 085020Lecture
    Pflanzliche Produktion (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Mo 13:15-14:45 (Class starts on: 2024-10-14)
    Location: KR Pferdewissenschaft (Oertzenweg 19B)

    Comments

    Inhalte:

    - Bodennutzungssysteme (Fruchtfolgen, Bodenbearbeitung, Unkrautkontrolle) - Gesetzmäßigkeiten der Ertragsbildung bei landwirtschaftlichen Nutzpflanzen - Anbauverfahren bei Getreide (Weizen, Gerste und Hafer)

  • 085021Lecture
    Landwirtschaftlicher Anlagebau (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Mo 11:15-12:45 (Class starts on: 2024-10-14)
    Location: KR Pferdewissenschaft (Oertzenweg 19B)

    Information for students

    1. SH

    Comments

    Ziel der Veranstaltung ist es, dass Sie: 1. grundlegende Kenntnisse zur Standort- und Bauplanung von Reitanlagen und Stallungen haben, 2. ausgehend von den Grundbedürfnissen des Pferdes Haltungsformen und Verfahren wählen und tiergerecht gestalten können, 3. in der Lage sind Arbeitsabläufe innerhalb von Reitanlagen zu organisieren, zu optimieren und sinnvoll zu technisieren

  • 085035Lecture
    Allgemeine Rechtsgrundlagen (Marcus Doherr und weitere Mitarbeitende)
    Schedule: Fr 09:00-13:30 (Class starts on: 2024-12-13)
    Location: N.N.

    Information for students

    Die Veranstaltung wird zusammen mit "Spezielle Rechtsgrundlagen" gelesen. Beide Veranstaltungen finden nur alle 2 Jahre statt.

  • 085036Lecture
    Spezielle Rechtsgrundlagen (Marcus Doherr und Mitarbeitende des Fachbereichs)
    Schedule: Fr 13:30-16:30 (Class starts on: 2024-12-13)
    Location: N.N.

    Information for students

    Die Veranstaltung wird zusammen mit "Allgemeine Rechtsgrundlagen" gelesen. Beide Veranstaltungen finden nur alle 2 Jahre statt.

  • 085060Basic Course
    Projektmanagement (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Di 13:00-14:30 (Class starts on: 2024-12-10)
    Location: KR Pferdewissenschaft (Oertzenweg 19B)

    Additional information / Pre-requisites

    Das Modul erstreckt sich über zwei Semester. Im Wintersemester werden die theoretischen Grundlagen des Projekt- und Evetmanagement vermittelt sowie verschiedene Projekte vorgestellt

    Die Studierenden werden diese Projekte in den kommenden 10 Monaten bearbeiten. Im Sommersemester werden in der Veranstaltung "Eventmanagement" die verschiedenen Projekte vorgestellt und diskutiert.

  • 085061Practice seminar
    Eventmanagement (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Di 14:45-16:15 (Class starts on: 2024-12-10)
    Location: KR Pferdewissenschaft (Oertzenweg 19B)
  • 085080Lecture
    Berufs- und Arbeitspädagogik I (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Mo 08:15-09:00 (Class starts on: 2024-10-14)
    Location: RvO Seminarraum, R042 (R.-v.-Ostertag-Str. 7-13)
  • 085081Lecture
    Berufs- und Arbeitspädagogik II (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Mo 09:00-10:00 (Class starts on: 2024-10-14)
    Location: RvO Seminarraum, R042 (R.-v.-Ostertag-Str. 7-13)
  • 085082Practice seminar
    Berufs- und Arbeitspädagogik III - Übung (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Mo 10:00-11:00 (Class starts on: 2024-10-14)
    Location: RvO Seminarraum, R042 (R.-v.-Ostertag-Str. 7-13)
  • 085083Lecture
    Berufs- und Arbeitspädagogik IV (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Mo 11:00-12:00 (Class starts on: 2024-10-14)
    Location: RvO Seminarraum, R042 (R.-v.-Ostertag-Str. 7-13)
  • 085084Practice seminar
    Berufs- und Arbeitspädagogik V - Übung (Marcus Doherr, Modulverantwortliche*r und beteiligte Dozierende)
    Schedule: Mo 12:30-13:30 (Class starts on: 2024-10-14)
    Location: RvO Seminarraum, R042 (R.-v.-Ostertag-Str. 7-13)
  • 08777Seminar
    Interdisciplinary lectures (V, 7.Sem) (Koordination: Marcus Doherr, Veronica Duckwitz; Blockverantwortung: Heidrun Gehlen, Christa Thöne-Reineke, Thomas Alter, Lisa Riege, Marc Drillich)
    Schedule: Di 14:30-16:45 (Class starts on: 2024-10-15)
    Location: Hybrid, mit Präsenzterminen im Hörsaal Tierpathologie

    Information for students

    The interdisciplinary lectures take place in a blended learning concept, i.e. cases are worked on online and supplemented by attendance appointments. This is a mandatory course with attendance monitoring; active participation is required on 85% of the course dates.

    Additional information / Pre-requisites

    Further information on the contents and the schedule can be found from the beginning of the semester under Organisation / VETMED-QuerVet Querschnitt the organisation interdisciplinary lectures in Blackboard

    Comments

    In the interdisciplinary lectures, practically relevant content is presented in a case-based and interdisciplinary manner. The aim is to create a link between different topics and the material already learned. In the 7th semester, content on the topics of outbreak investigations and zoonoses, herd management, reproduction and sports medicine in horses is taught on a case-based basis throught various institutes.

  • 08781Seminar
    Risk analysis in veterinary science (Marcus Doherr und MitarbeiterInnen (IVEB, WE16))
    Schedule: Sa 30.11. 09:00-17:00, Sa 14.12. 09:00-17:00 (Class starts on: 2024-11-30)
    Location: Seminarraum Biometrie (Königsweg 61-69)

    Information for students

    First half of the semester on two Saturdays (full day each)

    Additional information / Pre-requisites

    Attendance on both days is required for successful participation. Missing one half-day can be compensated when in advance agreed with the course leader.

    Comments

    In this course, an introduction to the methodology of systematic risk analysis in the context of consumer protection and animal disease control will be provided. Examples will be used to demonstrate the principles of risk assessment, (quantification), development of simple risk pathways/models, data collection, incorporation of uncertainty and variability, data simulation and interpretation of results. Students will be provided with the tools to develop and run own risk assessment models using commercial or open-source software packages.

  • 08784Seminar
    Research at the School of Veterinary Medicine (Vitaly Belik und Dozierede des Fachbereichs)
    Schedule: Do 13:30-14:15 (Class starts on: 2024-10-17)
    Location: Online - zeitABhängig

    Additional information / Pre-requisites

    Minimum attendance requirement is 10 presentations over the course of the semester.

    Comments

    Within this elective course, researchers from all disciplines present individual research projects with the objective to introduce students to ongoing research topics. Special emphasis is given to topics presented by junior researchers; this allows students to gain more insight into projects in the respective units leading to a dissertation (thesis)

  • 08785Seminar
    How to plan and write a scientific publication / thesis (Marcus Doherr und MitarbeiterInnen)
    Schedule: Fr 14:30-16:00 (Class starts on: 2024-12-13)
    Location: Hybrid - zeitABhängig, Seminarraum 107 Biometrie

    Information for students

    Second half of the semester

    Additional information / Pre-requisites

    Participation in at least 6 course days as well as the completion of a course-related online survey is required for recognition. If two days are missed, in justified exceptional cases an alternative task can be agreed upon with the lecturer

    Comments

    The target audience is students who want to start academic work during their studies or immediately afterwards and publish a specialist article or dissertation. In addition to basic topics in the area of formulating research questions and preparing scientific papers (structure, literature research, formatting, correct citation, etc.), aspects of good scientific practice (GSP) as well as administrative, legal and research ethical topics are also presented. In addition, aspects of career planning and career decision-making are discussed in detail and various career paths are presented. The course material contains many references to other sources of information and publications on the topic

  • 08787Seminar
    Introduction to animal health economics (Marcus Doherr und Mitarbeiter:innen (WE16))
    Schedule: Sa 11.01. 08:30-17:00, Sa 18.01. 08:30-17:00 (Class starts on: 2025-01-11)
    Location: Seminarraum Biometrie (Königsweg 61-69)

    Information for students

    Second half of the semester on two Saturdays

    Additional information / Pre-requisites

    Basic knowledge in a spreadsheet software packages such as MS Excel is recommended. Both days must be attended for recognition. For justified absences of one half-day, a replacement task can be agreed upon in advance with the course instructor

    Comments

    In their professional lives, veterinarians have to make economic decisions in various areas, be it in running practices, advising farmers and pet owners or in veterinary public service. The course is intended to provide insight into basic economic concepts. A focus is placed on the business aspects so that one can understand why farmers want to castrate their piglets themselves, when it is worthwhile for an animal owner to treat a cow, when it becomes worthwhile to purchase an X-ray machine and how the financial aspects relate to other factors influencing the decision process.

    Suggested reading

    Rushton, J. 2009. The Economics of Animal Health and Production. CABI Publishing.
    Dijkhuizen, A. A., and R. S. Morris. 2002. Animal Health Economics: Principles and Applications. Sydney: Wageningen Pers.

  • 08790Seminar
    Attendance of scientific conferences in Winter 2023/24 (Marcus Doherr)
    Schedule: Je nach Kongress (Class starts on: 2024-10-16)
    Location: Präsenz zeitABHÄNGIG

    Information for students

    In this winter semester, attendance of ONE OF THE FOLLOWING EVENTS can be accepted as elective course:

    - DVG-Vet-Congress vom 30.10. – 02.11.2024 in Berlin

    - Bpt Kongress vom 14.-16.11.2024 in Hannover
    <P>- Niedersächsischer Tierärztetag vom 16.-18.01.2025 in Hannover
    <P>IMPORTANT: Registration as well as coverange of travel, local accommodation and attenence costs are within the responsibility of the students. Please register individually through the respective Congress registration platform. Some congress organisers offer discounts for students to attend.

    Additional information / Pre-requisites

    For recognition as a WPV, in addition to enrolling in this course (!), clear proof of participation in at least two days of the conference is required. This must be done by (electronic) sending a confirmation of participation for at least two days (certificate, admission tickets etc) to the WPV course leader. In addition, an online questionnaire must be filled out after attending the conference. Absences from other courses due to participation are the responsibility of the student; Exemption from attending mandatory courses due to participation in the congress cannot be granted.

    Comments

    Participation in one of the proposed multi-day veterinary medicine conference with an industry exhibition of at least two days offers veterinary medicine students a wide range of opportunities for practical, practical examination of course content and professional practice as well as professional orientation

  • 08791Seminar
    Digital Veterinary Medicine (Vitaly Belik)
    Schedule: Do 14:30-16:00 (Class starts on: 2024-10-17)
    Location: Online - zeitABhängig

    Information for students

    First half of the semester

    Comments

    The ongoing digitalization and further development of artificial intelligence promise to change almost all areas of life. Digitalization is also finding its way into the training and practice of veterinarians. This development raises questions: what tasks will artificial intelligence take on in the near future? What is artificial intelligence (AI) and what are neural networks and machine learning? Why are we experiencing great interest in digitalization and AI right now? In order to take this development into account, the elective course 'Digital Veterinary Medicine' was designed. It is planned as a series of lectures by experts on various aspects of digitalization combined with interactive exercises on the computer. It shows what opportunities digitalization has to offer for training and practice. In particular, the following topics will be covered: automatic diagnostics based on image data and sensors, e-learning. You will be offered the opportunity to interactively apply modern methods of data processing and machine learning yourself.

    Suggested reading

    Topol, Eric. Deep Medicine: How Artificial Intelligence Can Make Healthcare Human Again. Hachette UK, 2019.

    Melanie Mitchell, Artificial Intelligence: A Guide for Thinking Humans, Picador 2020

  • 08793Seminar
    Investigation of kestrel behavior (Vitaly Belik und Kerstin Borchers)
    Schedule: Fr 14:30-16:00 (Class starts on: 2024-12-13)
    Location: Hörsaal Klein- und Heimtierklinik (Oertzenweg 19B)

    Information for students

    2. Semesterhälfte

    Comments

    Am Fachbereich Veterinärmedizin wurde im Februar 2024 eine Webcam im Nistkasten installiert. Der Nistkasten wurde kurz danach von einem Turmfalkenpaar angenommen und Anfang Mai sind 6 Küken geschlüpft. Alle Interessierten können das Verhalten der Vögel miterleben. Im Rahmen des Seminars wollen wir mit den Studierenden der Tiermedizin das Verhalten und insbesondere die Entwicklung der Küken untersuchen, ein Brainstorming durchführen und Fragestellung formulieren, anhand derer später die Daten annotiert werden. Die annotierten Daten werden dazu benutzt die KI-Algorithmen zu trainieren. Die durch die KI-Algorithmen festgestellten und quantifizierte Verhaltensmuster und individuellen Erkennungsmerkmale werden zusammen mit den Studierenden der Tiermedizin untersucht und ausgewertet. Basierend darauf werden eventuell mögliche Verbesserungsvorschläge identifiziert und Empfehlungen für Falkenmanagement ausgesprochen. Dabei sammeln die Studierenden wichtige Erfahrung mit den Wildvögeln und den innovativen digitalen KI-Techniken.

  • 08850Lecture
    Intro to the Veterinary Profession (Roswitha Merle)
    Schedule: Di 08:15-09:45 (Class starts on: 2024-12-10)
    Location: Hs A Hörsaal (Koserstr. 20)

    Information for students

    2. Semesterhälfte

    Comments

    Im Rahmen der Veranstaltung erhalten Studierende erste Einblicke in die Vielfalt der tierärztlichen Berufsausübung und die damit verbundenen Karrieremöglichkeiten. Die Studierenden haben Gelegenheit, Fragen zum Studium der Veterinärmedizin zu stellen. Die Möglichkeiten bei der Wahl der Ausbildung im Rahmen der Pflichtpraktika werden dargestellt. Praktiker, Amtstierärzte, Wissenschaftler, in der pharmazeutischen Industrie tätige Tierärzte und Standesvertreter beschreiben ihren Arbeitsalltag mit den damit verbundenen Highlights, aber auch den Hindernissen. Fragen und Diskussionsbeiträge sind ausdrücklich erwünscht.

  • 19333611Seminar
    Seminar Deep Learning for biomedical applications (Vitaly Belik)
    Schedule: Mo 16:00-18:00 (Class starts on: 2024-10-14)
    Location: T9/051 Seminarraum (Takustr. 9)

    Comments

    Recent developments in the area of machine learning due to availability of data and computational power promise to revolutionize almost every area of science. The driving technology behind this advancement is deep learning – a machine learning technology based on artificial neural networks consisting of many layers. Deep learning is capable of processing huge amount of data of different nature and already outperforming humans in many decision-making tasks. Biomedical research became now a source of large heterogeneous data, i.e. images, video, activity sensors, omics and text data. Leveraging the opportunities of this deep learning technology in the biomedical field requires particular set of skills combining thorough knowledge of necessary algorithms, specifics of biomedical data and designated programming tools. In this course we aim to offer students with background in computer science an opportunity to acquire the above skills to be able to deploy deep learning technology with a focus on biomedical applications. The course is structured as a seminar, where students under extensive guidance of instructors read fundamental books and recent research articles on deep learning, learn necessary programming tools, and produce their own implementations of computational pipelines in case studies using already published or original data. Starting from fundamental aspects of deep learning we aim to cover its applications to e.g. image data, time series data, text data, complex networks.

    Suggested reading

    [1] Andresen N, Wöllhaf M, Hohlbaum K, Lewejohann L, Hellwich O, Thöne- Reineke C, Belik V, Towards a fully automated surveillance of well-being status in laboratory mice using deep learning: Starting with facial expres- sion analysis. Plos One, 15(4):e0228059, (2020) https://doi.org/10.1371/ journal.pone.0228059

    [2] Jarynowski A, Semenov A, Kamiński M, Belik V. Mild Adverse Events of Sputnik V Vaccine in Russia: Social Media Content Analysis of Telegram via Deep Learning. J Med Internet Res 2021;23(11):e30529 https://doi.org//10.2196/30529