Courses



4 different courses found Cancel search
Faculty of Mathematics, Computer Science and Physics
INFO Bachelor's Programme Computer Science according to the Curriculum 2019 (180 ECTS-Credits, 6 semesters)
Compulsory Modules (165 ECTS-Credits)
Compulsory Module 20: Selected Topics (15 ECTS-Credits)
Prerequisites for registration: Die in den jeweiligen Curricula festgelegten Anmeldungsvoraussetzungen sind zu erfüllen.
Learning Outcome: This module serves the acquisition of additional qualifications.
Es sind Lehrveranstaltungen im Umfang von insgesamt 15 ECTS-AP aus dem Lehrangebot der Fakultät für Mathematik, Informatik und Physik der Universität zu wählen.
ML
198843
VU Data Analysis II: Text Mining (VU / 3h / 5 ECTS-AP)
Adam Jatowt
Details of this course
Interdisciplinary and additional courses
Interdisciplinary courses
Interdisciplinary courses for Bachelor's Programmes
ML
198843
VU Data Analysis II: Text Mining (VU / 3h / 5 ECTS-AP)
Adam Jatowt
Details of this course
ML
198844
VU Data Analysis II: Advanced Computational Text Analysis for Social Scientists (VU / 3h / 5 ECTS-AP)
Hauke Licht
Details of this course
ML
198849
VU Data Analysis II: Analysis and Visualisation of Geographic Data with Databases and Geoinformation Systems (VU / 3h / 5 ECTS-AP)
Gerald Hiebel
Details of this course
Interdisciplinary courses for Master's Programmes
ML
198843
VU Data Analysis II: Text Mining (VU / 3h / 5 ECTS-AP)
Adam Jatowt
Details of this course
ML
198844
VU Data Analysis II: Advanced Computational Text Analysis for Social Scientists (VU / 3h / 5 ECTS-AP)
Hauke Licht
Details of this course
ML
198849
VU Data Analysis II: Analysis and Visualisation of Geographic Data with Databases and Geoinformation Systems (VU / 3h / 5 ECTS-AP)
Gerald Hiebel
Details of this course
INFO Minors (Complementary Subject Area)
Minors (Complementary Subject Areas) (30 ECTS-Credits)
Minors (Complementary Subject Areas) für Bachelor's Programmes at the University of Innsbruck
Minor: Digital Science (30 ECTS-Credits)
Prerequisites for registration: If the respective curriculum provides the possibility, the Complementary Subject Area in Digital Science covering 30 ECTS-Credits may be selected by degree students of Bachelor's and Master's programmes at the University of Innsbruck. The complementary subject area can be selected, provided the availability of places. For courses that are used synergistically, the regulations regarding the procedure for the allocation of places in courses with limited number of participants as well as the examination regulations of the curriculum, the course examination or the module have been taken from, in the respectively valid version, apply. Only course examinations may be taken which have not yet been passed within the scope of study programmes for which the students are admitted to.
Learning Outcome: Graduates of the Complementary Subject Area Digital Science will be able to understand basic digi-tal methods in the fields of programming, data analysis and data management and to apply them to solving relevant issues in their field of science, particularly in the humanities, social sciences and economics. Graduates of the Complementary Subject Area in Digital Science are able ¿ to understand and create programmes in a programming language suitable for data analysis, ¿ to model, prepare and manage data, ¿ to select and apply data analysis procedures in the context of their own field of study, ¿ to plan and implement data analysis projects in the context of their own field of study.
Compulsory Modules (30 ECTS-Credits)
The following compulsory modules covering 30 ECTS-Credtis must be passed:
Compulsory Module 3: Data Analysis (10 ECTS-Credits, 6 h)
Prerequisites for registration: none
Learning Outcome: Having completed this module, students understand the basics of data analysis. They have acquired the skills for applying selected methods of data analysis and are able to interpret data and to present it verbally and visually.
198841
VU Data Analysis I: Data Analytics (VU / 3h / 5 ECTS-AP)
Matthias Schurz, Janette Walde, Achim Zeileis
Details of this course
ML
198843
VU Data Analysis II: Text Mining (VU / 3h / 5 ECTS-AP)
Adam Jatowt
Details of this course
ML
198844
VU Data Analysis II: Advanced Computational Text Analysis for Social Scientists (VU / 3h / 5 ECTS-AP)
Hauke Licht
Details of this course
ML
198849
VU Data Analysis II: Analysis and Visualisation of Geographic Data with Databases and Geoinformation Systems (VU / 3h / 5 ECTS-AP)
Gerald Hiebel
Details of this course
Minors (Complementary Subject Areas) for Master's Programmes at the University of Innsbruck
Minor: Digital Cultural Data (DCD) (30 ECTS-Credits)
Prerequisites for registration: (1) The Minor Digital Cultural Data covers 30 ECTS-Credits. It can be passed by regular degree students of master programmes at the University of Innsbruck if the respective curriculum provides for the possibility to pass of a Minor. (2) The Minor can be passed providing the availability of places.
Learning Outcome: (1) Due to the combination of critical analysis and practical testing, after completing the Minor Digital Cultural Data, graduates have acquired the conceptual skills that make them experts for the use of digital media and processes in research, museum and exhibition practice, in project acquisition and strategic planning. (2) Graduates have acquired advanced knowledge in the digitisation, archiving, dissemination and networking of cultural artefacts, texts and research data. They are able to grasp and assess datafication and automation in the humanities and cultural studies. They are able to take a critical stance when it comes to the fairness and transparency of digital humanities and cultural studies (e.g. appropriateness, data protection, equality, recognition). They have implemented the knowledge they have learned in relevant internships. (3) Graduates have acquired basic knowledge in the field of programming tools and routines for archiving and analysis in cultural studies and humanities contexts. (4) They are able to independently and appropriately apply ethical perspectives and concepts to a Digital Cultural Data problem, considering the implications of this application.
Compulsory modules covering 20 ECTS-Credits are to be passed
Compulsory modules (20 ECTS-AP)
Compulsory module 2: Aspects of Information Technology of Digital Cultural Data (15 ECTS-Credits)
Prerequisites for registration: none
Learning Outcome: The students understand the basics of a programming language used in the field of analysis of data in the humanities and cultural sciences. They have acquired the skills to apply the most important flow controls and data structures in the programming language in order to develop their own programmes. They can recall relevant knowledge in theories and methods of recent research in linguistics, especially empirical methods and specifics of linguistic resources. They are able to use the methods independently as examples. They can interpret the basic aspects of data management and are able to deal systematically with data and metadata, organise and manipulate data. They have acquired specific skills in the areas of conversion, quality assurance, reuse and archiving of data and can perform quantitative analyses. They have acquired the skills to interpret and present data.
ML
198849
VU Data Analysis II: Analysis and Visualisation of Geographic Data with Databases and Geoinformation Systems (VU / 3h / 5 ECTS-AP)
Gerald Hiebel
Details of this course
Minor: Digital Science (30 ECTS-Credits)
Prerequisites for registration: If the respective curriculum provides the possibility, the Complementary Subject Area in Digital Science covering 30 ECTS-Credits may be selected by degree students of Bachelor's and Master's programmes at the University of Innsbruck. The complementary subject area can be selected, provided the availability of places. For courses that are used synergistically, the regulations regarding the procedure for the allocation of places in courses with limited number of participants as well as the examination regula-tions of the curriculum, the course examination or the module have been taken from, in the respectively valid version, apply. Only course examinations may be taken which have not yet been passed within the scope of study programmes for which the students are admitted to. Students of a pertinent study programme in Computer Science may not pass the Complementary Subject Area in Digital Science.
Learning Outcome: Graduates of the Complementary Subject Area Digital Science will be able to understand basic digi-tal methods in the fields of programming, data analysis and data management and to apply them to solving relevant issues in their field of science, particularly in the humanities, social sciences and economics. Graduates of the Complementary Subject Area in Digital Science are able - to understand and create programmes in a programming language suitable for data analysis, - to model, prepare and manage data, - to select and apply data analysis procedures in the context of their own field of study, - to plan and implement data analysis projects in the context of their own field of study.
Compulsory Modules (30 ECTS-Credits)
The following modules coverings 30 ECTS-Credits are to be passed as follows:
Compulsory Module 3: Data Analysis (10 ECTS-Credits, 6 h)
Prerequisites for registration: none
Learning Outcome: Having completed this module, students understand the basics of data analysis. They have acquired the skills for applying selected methods of data analysis and are able to interpret data and to present it verbally and visually.
198841
VU Data Analysis I: Data Analytics (VU / 3h / 5 ECTS-AP)
Matthias Schurz, Janette Walde, Achim Zeileis
Details of this course
ML
198843
VU Data Analysis II: Text Mining (VU / 3h / 5 ECTS-AP)
Adam Jatowt
Details of this course
ML
198844
VU Data Analysis II: Advanced Computational Text Analysis for Social Scientists (VU / 3h / 5 ECTS-AP)
Hauke Licht
Details of this course
ML
198849
VU Data Analysis II: Analysis and Visualisation of Geographic Data with Databases and Geoinformation Systems (VU / 3h / 5 ECTS-AP)
Gerald Hiebel
Details of this course

Notes:
  • There may still be changes in the courses offered as well as room allocation and course dates.
  • The course descriptions found in the English version of the course catalogue are for informational purposes only. Authoritative information can be found in the "Vorlesungsverzeichnis" (German version of the course catalogue).