Navigationsweiche Anfang

Navigationsweiche Ende


WINTER SEMESTER 2019

[WS19] Applied Natural Language Processing and Text Mining

By completing the the course, participants will obtain the knowledge and skills to solve a wide range of applied problems in Natural Language Processing. To achieve this goal, the participants will get to know successful methods for solving sub-problems, such as text representation, information extraction, text mining, language modeling, and similarity detection. The participants will understand the conceptual requirements of specific NLP tasks and be able to devise approaches to address these tasks in practice. The participants will be able to assess the strengths and limitations of state-of-the-art NLP approaches and to propose solutions for interdisciplinary NLP problems.

Workload: 4 SWS (2 Lecture / 2 Exercise), 6 ECTS

more info

Day Time Periodicity Duration Room Type
Thu. 10:15 - 11:45 weekly 17.10.2019 - 30.01.2020 FC E.10 (00.10) lecture
Thu. 12:15 - 13:45 weekly 24.10.2019 - 30.01.2020 FC E.10 (00.10) exercise

[WS19] Information Visualization

The course participants will acquire the knowledge and skills necessary to visualize a wide range of data for analysis, exploration, and information purposes. The participants will learn the fundamentals of human perception, design and interaction principles as well as elemental visualization techniques necessary to create visualizations suitable for the given type of data and the intended use case. The participants will also know the requirements that different data types and levels of complexity impose on the visualization as well as how to evaluate the quality of information visualizations. Much of the data covered in the course is abstract, i.e., the data has no spatial reference and thus cannot be mapped trivially to geometric visuals. Examples of abstract data include survey results, database contents, or genome information. The participants will be challenged with data from many more applications in industry, business, science and everyday life.

Workload: 4 SWS (2 Lecture / 2 Exercise), 6 ECTS

more info

Day Time Periodicity Duration Room Type
Wed. 10:15 - 11:45 weekly 16.10.2019 - 29.01.2020 FC E.10 (00.10) lecture
Wed. 12:15 - 13:45 weekly 16.10.2019 - 29.01.2020 FC E.10 (00.10) exercise

[WS19] Selected Topics in Data & Knowledge Engineering

Seminar participants will explore current research trends and established approaches in the field of Data Science field. The participants can choose to complete either the theoretical or the practical research project track as part of this seminar.

Workload: 2 SWS, 3 ECTS

more info

Day Time Periodicity Duration Room Type
Wed. 14:15 - 15:45 weekly 16.10.2019 - 29.01.2020 FC E.10 (00.10) seminar

[WS19] GRK: Editionswissenschaftliches Kolloquium

The colloquium addresses current research topics as part of the DFG Graduate School 2196 Document — Text — Edition.

More Information

Day Time Periodicity Duration Room Type
Wed. 10:00 - 11:30 weekly 16.10.2019 - 29.01.2020 K5 seminar

[WS19] GRK-Seminar: Grundfragen einer interdisziplinären Editionswissenschaft

The seminar addresses current research topics as part of the DFG Graduate School 2196 Document — Text — Edition.

Day Time Periodicity Duration Room Type
Tue. 14:00 - 15:30 weekly 15.10.2019 - 28.01.2020 K5 seminar
zuletzt bearbeitet am: 30.09.2020