Herzlich Willkommen
Suche in den Vorlesungsverzeichnissen der UA Ruhr (maximal 250 Einträge)
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Suchergebnis:
55 VVZ Einträge (aus 18552) gefunden für: Lecture Data
Suchdauer: 33 Millisekunden
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Statistik
[053019] Data Science in Context — Vorlesung (digital)
Paul-Christian Bürkner, Javier Enrique Aguilar Romero, Daniel Habermann- Score: 11.27 The class will be held irregularily on Mondays (within 14:00-16:00) via Zoom-Webinars. The course is part of module 3, "Data Science in Practice" of the Master Study Programme Data Science and is credited in the amount of 3 ECTS. Its format is a lecture series where various invited speakers shed light on diverse topics that arise in the context of data science. To participate in the course you Data Science in Context
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Informatik, Maschinenbau, Statistik
[042537] Industrial Data Science 1 — Vorlesung mit Übung
Claus Weihs, Univ.-Prof. Dr.-Ing. Jochen Deuse, Jun.-Prof. Dr. Thomas Liebig, Jens Teubner, Erich Schubert, Markus Pauly, Lukas Schulte, Roman Bernhard Möhle- Score: 7.03 Industrial Data Science 1 Bitte lesen Sie mehr zu dem Industrial Data Science Projekt hier: https://ips.mb.tu-dortmund.de/studieren-promovieren/lehrveranstaltungen/msc-industrial-data-science/
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Statistik
[050915] Panel Data Analysis I — Vorlesung
Matei Demetrescu- Score: 7.00 Panel Data Analysis I
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Informatik
[042546] Übung zu Data Science for Dynamical Systems — Übung
Sebastian Peitz- Score: 6.82 Übung zu Data Science for Dynamical Systems
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Statistik
[051120] Statistical methods for high-dimensional biomedical data — Seminar
JProf Christian Staerk- Score: 6.74 Statistical methods for high-dimensional biomedical data
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Physik
[023139] Laboratory of condensed matter physics: Time-domain terahertz spectroscopy — Vorlesung mit Übung
Zhe Wang, Ahmed Ghalgaoui- Score: 6.68 Time domain terahertz spectroscopy consists of lectures in conjunction with laboratory courses giving the students the opportunity to directly apply the material from the lectures in the laboratory. In this context, fundamental physical properties of matter, such as the refractractive index, conductivity, or resistivity, are studied using terahertz spectroscopy. The lectures will begin with basic concepts a of light matter interaction, in particular, how such concepts are used to determine refractive indices of varying susbtances, like semiconductors, magnetic samples, or liquid water. In addition, the use of pump-probe spectrocopy to investigate conductivity and some other nonlinear processes in matter will be discussed. The lecture will take place every tuesday from 2 - 4 pm
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Fakultät für Chemie und Chemische Biologie
[000000] Lecture Series "Modern Drug Discovery" — Vorlesung
Prof. Dr. Rasmus Linser- Score: 6.65 Lecture Series "Modern Drug Discovery"
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Mathematik
[010562C] Programming Course: Data Science with Python — Kurs
Susanne Drees, Fatma Abd-Elateef Mohammed Ibrahim- Score: 6.51 Programming Course: Data Science with Python
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Statistik
[050721] Applied Bayesian Data Analysis — Vorlesung
Katja Ickstadt, Paul-Christian Bürkner, Javier Enrique Aguilar Romero- Score: 6.43 Applied Bayesian Data Analysis
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Mathematik, Statistik
[052005] Data Literacy Veranstaltungen im WiSe 23/24 — blendend learning-Veranstaltung
Henrike Weinert- Score: 6.43 Data Literacy Veranstaltungen im WiSe 23/24
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Statistik, Informatik
[040239] Statistical Learning for Big Data — Vorlesung
Paul-Christian Bürkner, Lars Erik Kühmichel, Alexander Marx- Score: 6.43 Statistical Learning for Big Data
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Sozialwissenschaften
[171260] Sociology of Work and Organization EN (lecture) | Arbeits- und Organisationssoziologie I (Vorlesung) — Vorlesung
Maximiliane Wilkesmann- Score: 6.36 Sociology of Work and Organization EN (lecture) | Arbeits- und Organisationssoziologie I (Vorlesung)
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Wirtschaftswissenschaften
[11xxxx] Wissensmanagement und Data Mining — Vorlesung mit Übung
Dipl.-Kfm., Dipl.-Inform. Richard Lackes, Julian Sengewald- Score: 6.36 Wissensmanagement und Data Mining
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Kulturwissenschaften
[154602] Introduction to American Literature and Culture 1 — Vorlesung
Sascha Pöhlmann- Score: 6.30 This lecture is the first part of an introduction to American literary and cultural history that continues in the summer term. This first part gives a broad overview that ranges from early imaginations of America to roughly 1900, covering pre-contact and colonial times, the revolutionary period and the early republic, Romanticism and the Civil War, and reconstruction and the Gilded Age . The lecture includes the most important aesthetic developments in various literary genres with particular concern for their cultural, social, political and medial contexts. This includes the disciplinary history of American Studies as a field, its practices of canonization, as well as other theoretical issues, including current paradigms and discourses. The lecture will combine a broad overview
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Mathematik
[010764] Approximationstheorie — Vorlesung
Joachim Stöckler, Sonja Strauch, Nicolai Pastoors, Micha Benjamin Weimann- Score: 6.15 This course is also suitable for Data Science (Master Program).
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Institut für evangelische Theologie
[146XX5] Jüdische Museen in Deutschland von der Selbstrepräsentation zur Erinnerungskultur — keine Angabe
Sara Kipfer- Score: 5.97 TU Dortmund University Lecture in Jewish Studies and Politics Referentin Cilly Kugelmann
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Mathematik
[012518] Numerical Methods for PDEs — Vorlesung
Susanne Drees, Shafqat Hussain- Score: 5.95 Modul wählbar für die Master-Programme Automation & Robotics Data Science Process System Engineering
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Statistik
[05] Vektor- und Matrizenrechnung für Data Science — Zusatzvorlesung
Guido Knapp- Score: 5.95 Vektor- und Matrizenrechnung für Data Science
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Informatik
[042301] Automatentheorie und ihre Anwendungen 1 — Vorlesung
Jean Christoph Jung, Daniel Neider, Jan Corazza- Score: 5.91 Die Vorlesung wird am 15.10.2024 beginnen. The lecture will start on October 15, 2024.
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Lehrstuhl Informatik VI, Informatik
[042427] Data Processing on Modern Hardware — Vorlesung
Jens Teubner- Score: 5.89 Data Processing on Modern Hardware
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Physik
[020256] Key experiments in particle physics — Hauptseminar
Kevin Alexander Kröninger, Dominik Mitzel- Score: 5.87 their knowledge in the field of particle physics through a self-study fortheir own lecture. This lecture also trains skills in scientific research and presentationtechniques. Scientific discussion and writing techniques are acquired in the subsequentdiscussion and by preparing a written summary on the entire course content.
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Lehrstuhl Informatik IX, Informatik
[040240] Übung zu Statistical Learning for Big Data — Übung
Paul-Christian Bürkner, Lars Erik Kühmichel, Alexander Marx- Score: 5.77 Übung zu Statistical Learning for Big Data
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Kulturwissenschaften
[000000] Tutorial A: Introduction to American Literature and Culture 1 — Tutorium
- Score: 5.74 This optional tutorial presents an opportunity to delve deeper into the material and texts that are covered in the lecture. Students will have the chance to ask questions, discuss texts, and practice their analytical and writing skills.
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Kulturwissenschaften
[000000] Tutorial B: Introduction to American Literature and Culture 1 — Tutorium
- Score: 5.74 This optional tutorial presents an opportunity to delve deeper into the material and texts that are covered in the lecture. Students will have the chance to ask questions, discuss texts, and practice their analytical and writing skills.
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Kulturwissenschaften
[000000] Tutorial C: Introduction to American Literature and Culture 1 — Tutorium
- Score: 5.74 This optional tutorial presents an opportunity to delve deeper into the material and texts that are covered in the lecture. Students will have the chance to ask questions, discuss texts, and practice their analytical and writing skills.
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Kulturwissenschaften, Institut für Diversitätsstudien, Anglistik und Amerikanistik
[154325] Generative AI and 21st Century Skills for the ELT Classroom — Blockseminar
Lisa Middelanis- Score: 5.69 In the rapidly evolving educational landscape, digital competencies extend beyond basic technology use. This course includes an introduction to data literacy, focusing on the ability to read, create, and communicate data as information, and AI literacy, highlighting the understanding of AI's capabilities and limitations and ethical considerations, as well as didactic theories of good practice in the ELT classroom. Recognizing the profound implications of these contemporary literacies in combination with didactic principles is crucial for teachers in the ELT classroom, where technology can significantly enhance learning experiences. By the end of this course, participants will not only understand the basics of data and AI but also how to leverage these technologies to enhance teaching strategies
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Europäische Planungskulturen, Raumplanung
[094012 EPK] Urban Transformation - Präsentation — Kolloquium
Da Hae Lee- Score: 5.57 The registration process begins at the start of the semester via the link provided in the Basic information. Further information and deadlines are announced on the faculty's homepage, by email and in the information and introductory event before the start of lectures.
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Informatik
[048019] Case Study - Automated Data Analytics Using LLMs — Praktikum
Emmanuel Müller, Simon Klüttermann- Score: 5.40 Case Study - Automated Data Analytics Using LLMs This is a case study for the Master Data Science (module MD 4 #1a). The assignment of participants will be handled centrally. Uncertainty quantification is a field of ongoing research that aims to provide an additional layer of security for the predictions of black-box deep learning models. The field still suffers from a lack of objective evaluation metrics and reproducibility, especially in the face of inputs deviating from the training data. In this case study, we will be focusing on evaluating and comparing a selection of state-of-the-art uncertainty quantification methods for deep learning. Students will be working mostly in small groups to understand and discuss their method and to experiment with different hyperparameters and evaluation strategies on diverse datasets. The groups
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Raumplanung, Raumbezogene Informationsverarbeitung und Modellbildung
[093042] Spatial Data Analysis and Mapping — Übung
Dr. rer. nat. habil. Nguyen Xuan Thinh- Score: 5.38 Spatial Data Analysis and Mapping
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Physik
[020217] Modern Quantum Computing and Quantum Simulation — Vorlesung mit Übung
Benedikt Fauseweh- Score: 5.34 This lecture offers a concise introduction to quantum computing. You will develop a working knowledge of its mathematical foundations and learn to use basic concepts in quantum information processing. The course covers key quantum algorithms, quantum machine learning approaches and their practical applications. It also addresses limitations due to noise and decoherence, teaching you how to model and tackle these challenges. Finally, you will receive an overview of the current state-of-the-art in quantum computing and simulation. The course is divided into a main lecture for theoretical understanding, tutorials for practical exercises, and a hackathon. During the hackathon, you will use IBM quantum computers to implement the concepts learned in class on real devices. The lecture is divided into two parts. Lecture notes are available. Requirements: Linear Algebra and Complex Analysis, beneficial: Linear Differential Equations, Quantum Mechanics. Part1: Basics of Quantum Information Theory and Processing, Qubits, Gates, Quantum Circuits, POVMs, Solovay-Kitaev Theorem, Tomography, Mixed States, Entanglement (bipartite and multi-partite), Fisher Information, Algorithms (Deutsch–Jozsa, QFT
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Institut für katholische Theologie
[147132] Seminar zur Vorlesung 4.2 - 147131 / Seminar for the lecture 4.2 - 147131 — Seminar
Alexander Unser- Score: 5.32 Seminar zur Vorlesung 4.2 - 147131 / Seminar for the lecture 4.2 - 147131
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Lehrstuhl für Experimentelle Physik IV
[020400] Applications of Machine Learning in Medical Physics — Seminar
Carsten Daniel Burgard, Cornelius Grunwald- Score: 5.10 Machine learning has been increasingly applied in many areas of medicine for years and has the potential to transform these fields entirely. Even today, machine learning methods play a significant role in diagnostics, especially with imaging techniques. These methods assist medical practitioners in evaluating highly complex data more precisely and quickly to make accurate diagnoses. Additionally research on a selected topic, gain deeper insights and understanding, and prepare and present this topic in the form of a talk. The central focus of these seminar presentations will be on medical-physical applications, with less emphasis on the technical aspects of machine learning. In addition to the student presentations, we will prepare short lecture segments in which we will explore the technical
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Statistik
[050661, 050662] Statistische Visualisierung /Visualisierung komplexer Datenstrukturen — Vorlesung mit Übung
M.Sc. Carmen van Meegen- Score: 4.90 Bachelor Wissenschaftsjournalismus (Modul DJ 5: Visualisierung): Abschlusspräsentation und Bericht Bachelor Data Science (Modul BD 7: Statistische Verfahren): Abschlusspräsentation und Bericht Bachelor Statistik (Modul BS 8: Wissenschaftliches Arbeiten): Abschlusspräsentation
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Statistik
[052000] Einführung in die Data Science I — Vorlesung
Claus Weihs, Katja Ickstadt, Jens Teubner, Andreas Groll, M.Sc. Yassine Talleb- Score: 4.90 Einführung in die Data Science I
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Anglistik und Amerikanistik
[154142] Historical Dimensions of the English Language - Vorlesungsbegleitende Übung Gruppe A — Übung
Univ.-Prof. Dr. Marion Patricia Ronan- Score: 4.89 This Übung complements the Historical Dimensions lecture and must be taken with the lecture. It investigates the development of the English language from its earliest roots – the Indo-European language family via developments leading towards the creating of Old- Middle-, Early Modern-, Late Modern- and Present Day English.To do this, we will investigate the cultural, historical and societal
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Statistik
[053026] Asymptotic Theory — Vorlesung
Carsten Jentsch, M.Sc. Maxime Faymonville- Score: 4.74 Start: Thursday 28.11.2024, 2.15pm Asymptotic Theory is as part of Statistical Theory mandatory for M.Sc. Econometrics students, but also M.Sc. Statistik and M.Sc. Data Science students can take Asymptotic Theory as an elective course. The password for the moodle course is "convergence".
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Informatik
[049005] Informatik und Nachhaltigkeit — Vorlesung
Thomas Schwentick, Stefan Naujokat- Score: 4.57 Die Nachhaltigkeitskommission der Fakultät für Informatik organisiert im WiSe 24/25 erstmals eine "kleine Ringvorlesung" zu Informatik und Nachhaltigkeit. An fünf Terminen werden thematische Vorträge von Dozent*innen unserer Fakultät sowie eingeladener Gäste gehalten: Datum Dozent*in Affiliation Thema 13.11.2024 Emmanuel Müller Chair of Data Science and Data Engineering + Research Center Trustworthy Data Science and Security Machine Learning für eine grüne Universität: Datenanalyse auf Energiedaten der TU Dortmund 27.11.2024 Jens Teubner Databases and Information Systems Group + Dekan der Fakultät für Informatik Kann Software energieeffizient sein? 11.12.2024 Beate Bollig Efficient Algorithms and Complexity Theory Group Informatik und Ethik: Und was hat das mit Nachhaltigkeit zu tun
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Dekanat Raumplanung, Stadt- und Regionalsoziologie, Raumplanung
[093012] Human Dimension in Planning — Vorlesung mit Übung
sc.agr. Anne Weber, rer. pol. Einhard Schmidt-Kallert, Sandra Huning- Score: 4.44 reduction and equity. The course consists of a series of lectures (Participation – Gender – Conflict Resolution strategies and Mediation) with related exercises taught by different lecturers. The first part of the course will revolve around current notions of development and the most important cross-cutting perspectives in development planning, i.e. planning with the people (not for the people), gender
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Statistik
[053018] Introductory Case Studies — Praktikum
Crystal Wiedner- Score: 4.11 The course is Module MD Req7 of the Master Study Programme Data Science (Terms of study 2019/2020) at TU Dortmund University. There are no mandatory prerequisites for participation. However, it is highly recommended to first complete the Modules MD Req4 (Reading Course Probability), MD Req5 (Reading Course Inference), and Req6 (Reading Course Linear Models), if these are requirements
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Humanwissenschaften und Theologie
[000000] Welcome Event of the Faculty for the MaREPol students — Sonderveranstaltung
Magdalena Alberta Rita Franz- Score: 3.95 Dear Marepol students, We are pleased to invite you to the welcome event of the Faculty for new Marepol students. The dean, the vice dean, the dean of studies, the directors of the institutes and the lecturers of the Marepol courses in the winter semester would like to introduce themselves and get to know you. We look forward to seeing you there! Please note: There will be NO overlap
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Kulturwissenschaften
[154679] Translating Walt Whitman’s “Cycle of International Poems” — Hauptseminar
Zachary Turpin- Score: 3.78 .e., close reading) and a quantitative one using statistical methods from the digital humanities, linguistics, and data science to analyze trends in translation. This course is particularly recommended for students of the Angewandte Studiengänge.
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Anglistik und Amerikanistik
[154501] Introduction to British Cultural Studies — Vorlesung
Dr. Cyprian Piskurek- Score: 3.75 The lecture offers an introductory overview of theoretical approaches and topics relevant for British cultural studies. While the meaning of 'culture' may seem to be quite evident at first glance, even the slightest probing underneath the surface reveals that it is not. As Raymond Williams, one of the most influential founding figures of British Cultural Studies, famously pointed out: "Culture /difference, representation, gender, race/ethnicity, place/space, cultural memory and many others. The discussion of theory will be complemented by a brief overview of British history (from 1500) and an introduction to the British political system. Tutorials: The topics dealt with in the lecture are recapitulated and deepened in optional tutorials (see information below). Assignment: End-of-term written test
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Lehrstuhl Informatik XII, Informatik
[041225] Mustererkennung — Vorlesung
Univ.-Prof. Dr. Gernot Fink- Score: 3.68 Niemann, H.: Klassifikation von Mustern, Springer-Verlag, Berlin, 2. Auflage (online), 2003 Duda, R. O.; Hart, P. E.; Stork, D. G.: Pattern Classification, Wiley, New York, 2. Auflage, 2001 Burges, Ch.: A Tutorial on Support Vector Machines for Pattern Recognition, Data Mining and Knowledge Discovery, Bd. 2, 1998, S. 121-167.Hastie T. et al., The Elements of Statistical Learning, Springer, 2001
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Statistik
[05] Datenethik — Seminar
Henrike Weinert- Score: 3.59 Daten sind überall - bei deren Sammlung, Verarbeitung und Nutzung treten immer wieder und im "Big Data Zeitalter" auch immer mehr ethische Fragen auf. In diesem überfachlichen Seminar wollen wir uns diesem Thema nähern. Im Rahmen des Data Competence Network (DaCoNet, https://moodle.tu-dortmund.de/course/view.php?id=38924) gibt es im WiSe ein Seminar zum Thema "Datenethik" mit 3 CP. Das Seminar
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Bereich Fremdsprachen
[210504-W] Deutsch A1 Data Science and Econometrics — Übung (digital)
Miri Shalini Stoll- Score: 3.58 Deutsch A1 Data Science and Econometrics
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Anglistik und Amerikanistik
[154141] Historical Dimensions of the English Language - Vorlesung — Vorlesung
Univ.-Prof. Dr. Marion Patricia Ronan- Score: 3.18 This course consists of the lecture plus an obligatory practice sessions. It investigates the development of the English language from its earliest roots – the Indo-European language family via developments leading towards the creating of Old- Middle-, Early Modern-, Late Modern- and Present Day English.To do this, we will investigate the cultural, historical and societal background
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Institut für Diversitätsstudien, Anglistik und Amerikanistik
[154332] Reading in the English Language Classroom – Building Bridges — Blockseminar
Gudrun Marci-Boehncke, Carolyn Blume- Score: 3.18 or German didactics who commit to school visits on Tuesdays between 11:30 and 13:30 during the lecture period; specific dates will be announced at the introductory session on October 15th (12:00 – 14:00). Additional class meetings will take place on the following dates: November 8th, December 13th, and January 31st from 12:30 to 17:00. The languages of the course are both German and English; the use
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Anglistik und Amerikanistik
[154553] Turkish Literature in English — Hauptseminar
Elena Furlanetto- Score: 2.71 Turkey and write in English, is this still Turkish literature? In the second part of the seminar, we will read Elif Shafak’s The Forty Rules of Love (2010), a controversial novel by arguably the most famous Turkish author of fiction in English. The seminar will include a guest lecture by Melih Kökcü (UDE) as well as a collaboration with the Türkische Filmtage festival (06.11—10.11.24) in Dortmund
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Lehrstuhl Informatik VI, Informatik
[042428] Übung zu Data Processing on Modern Hardware — Übung
Jens Teubner- Score: 2.59 Übung zu Data Processing on Modern Hardware
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Arbeit, Inklusion und Technologie
[135217] Ethnographische Forschung für inklusive Arbeitssysteme - ein Methodentraining — Seminar
Frauke Mörike, Franziska Günther- Score: 2.33 actions in context: a qualitative shadowing method for organizational research. Qualitative Research, 5(4): 455-73. Rubin, H. J. and Rubin, I. S. 2011: Qualitative interviewing: The art of hearing data. Sage. Urban, G. and Koh, K.-N. (2013). Ethnographic Research on Modern Business Corporations, Annual Review of Anthropology, 42(1): 139-58. Ybema, S., Yanow, D., Wels, H. and F. Kamsteeg (Eds.) (2009
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Physik
[020211] Superconducting Technology applied to particle accelerators — Seminar
Adolfo Vélez Saiz- Score: 2.28 that it does not coincide with your other duties. How: We will work together over the lectures and you will be given material to work through on your own. At the end of the course a presention should be given on a proposed topic (graded) Evaluation: The evaluation will be given based on 2 main indicators: The quality of the presentation and your participations and involment Interesed? Please join
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Informatik, Lehrstuhl Informatik I
[042617] Logik und Komplexität — Vorlesung mit Übung
Thomas Schwentick- Score: 2.15 , complexity theory and in the context of automatic verification. The lecture will deal with important such correspondence results and with the basic properties of the logics involved.Individual topics:- Foundations of first-order logic- Expressive power of first-order logic: Ehrenfeucht games, locality, other methods- Logic and complexity theory: second-order logic, fixed-point logics, separations
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Informatik
[042545] Data Science for Dynamical Systems — Vorlesung
Sebastian Peitz- Score: 1.84 Data Science for Dynamical Systems
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Politikwissenschaft
[143106a] Transitional Justice in Today's World: How Can Democracies Settle Their Pasts? — Blockseminar
LL.M. Selen Kazan- Score: 1.83 Indigenous peoples refuse ‘reconciliation’ and how does the refusal reveal limits in colonial power? To answer these questions, we explore commission and inquiry reports, laws, and an array of interdisciplinary scholarship. The readings, lectures, and discussion sessions will centre around three overarching topics. First, the course provides an overview of the theory and practice of the field
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Institut für Musik und Musikwissenschaft
[160122] Die Gefühlswirkung von Musik — Seminar
Martin Ebeling- Score: 1.66 Referatvergabe erfolgt in der ersten Sitzung. Einführende Literatur:Carl Stumpf (1883 / 1890). Tonpsychologie. Leipzig: Hirtzel (EF MUG 460/121-1 u. MUG460/121-2)Carl Stumpf (1928). Gefühl und Gefühlsempfindung.Download: https://vlp.mpiwg-be rlin.mpg.de/library/data/lit8528 ?Patrik N. Juslin (Ed. 2010): Handbook of Music and Emotion, Theory, Research, Applications,Oxford University Press
