Courses
Faculty of Geo- and Atmospheric Sciences
INFO
Bachelor's Programme Atmospheric sciences according to the Curriculum 2025 (180 ECTS-Credits, 6 Semesters)
Compulsory modules covering a total of 135 ECTS-Credits are to be passed.
Compulsory Modules (135 ECTS-Credits)
Compulsory Module 7: Statistical Data Analysis and Programming (12.5 ECTS-Credits; 7 h)
Prerequisites for registration: none
Learning Outcome: ad a. and b.: The students are able to
¿ define basic concepts of descriptive and inductive statistics and explain them in their own words;
¿ distinguish between and describe different types of statistical analysis in terms of their possible applications and information content;
¿ select and apply various inferential statistical methods (in particular t-tests, analysis of variance, Wilcoxon test, chi-square test, regression analysis) appropriate for empirical questions and interpret the results adequately;
¿ use statistical software confidently.
ad c.: Students can read and write programmes in one of the open-source programming languages used in atmospheric sciences. They can install a programming environment with the appropriate add-on packages on their computer and use it to solve scientific problems. Above all, they are able to independently expand and develop their programming skills.
707637
PS Statistical Dataanalysis for Atmospheric Sciences (PS / 2h / 4,5 ECTS-AP)
Reto Stauffer
Details of this course
INFO
Bachelor's Programme Atmospheric ciences according to the Curriculum 2021 (180 ECTS-Credits, 6 Semesters)
Compulsory Modules (170 ECTS-Credits)
Compulsory Module 8: Statistical Data Analysis and Programming (12.5 ECTS-Credits; 7 h)
Prerequisites for registration: none
Learning Outcome: The students have an overview knowledge in the field of statistics and are able to analyse, discuss and solve simple statistical problems and data analyses from different subject areas using suitable statistical software.
Students can read and write programmes in any of the open source programming languages used in atmospheric science. They can install a programming environment with appropriate additional packages on their computer and thus solve scientific problems. Above all, they are able to independently expand and advance their programming skills.
707637
PS Statistical Dataanalysis for Atmospheric Sciences (PS / 2h / 4,5 ECTS-AP)
Reto Stauffer
Details of this course
Interdisciplinary and additional courses
Interdisciplinary courses
Interdisciplinary courses for Bachelor's Programmes
198803
VU Introduction to Programming: Programming in R (VU / 3h / 5 ECTS-AP)
Reto Stauffer
Details of this course
Interdisciplinary courses for Master's Programmes
198803
VU Introduction to Programming: Programming in R (VU / 3h / 5 ECTS-AP)
Reto Stauffer
Details of this course
Additional Courses for Incoming Students
198803
VU Introduction to Programming: Programming in R (VU / 3h / 5 ECTS-AP)
Reto Stauffer
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 Sciences (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 1: Introduction to Programming (5 ECTS-Credits, 3 h)
Prerequisites for registration: none
Learning Outcome: Having completed this module, students will understand the basics of a programming language used in the field of data analysis. They have acquired the skill to apply the most important sequencers and data structures in the programming language and to develop their own programmes.
198803
VU Introduction to Programming: Programming in R (VU / 3h / 5 ECTS-AP)
Reto Stauffer
Details of this course
Compulsory Module 2: Introduction to Data Management (5 ECTS-Credits, 3 h)
Prerequisites for registration: none
Learning Outcome: Having completed this module, students will understand the basics of data management used in data analysis. They are able to systematically deal with data and metadata and have acquired the skills for organising and manipulating data. In addition, they will learn selected aspects of converting, quality assurance, reuse and retention of data.
198822
VU Introduction to Data Management: Management of Unstructured, Semi-Structured and Structured Data (VU / 3h / 5 ECTS-AP)
Joanna Chimiak-Opoka, Hauke Licht, Reto Stauffer
Details of this course
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)
Reto Stauffer, Nikolaus Umlauf, Achim Zeileis
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.
198822
VU Introduction to Data Management: Management of Unstructured, Semi-Structured and Structured Data (VU / 3h / 5 ECTS-AP)
Joanna Chimiak-Opoka, Hauke Licht, Reto Stauffer
Details of this course
Minor: Digital Sciences (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 1: Introduction to Programming (5 ECTS-Credits, 3 h)
Prerequisites for registration: none
Learning Outcome: Having completed this module, students will understand the basics of a programming language used in the field of data analysis. They have acquired the skill to apply the most important sequencers and data structures in the programming language and to develop their own programmes.
198803
VU Introduction to Programming: Programming in R (VU / 3h / 5 ECTS-AP)
Reto Stauffer
Details of this course
Compulsory Module 2: Introduction to Data Management (5 ECTS-Credits, 3 h)
Prerequisites for registration: none
Learning Outcome: Having completed this module, students will understand the basics of data management used in data analysis. They are able to systematically deal with data and metadata and have acquired the skills for organising and manipulating data. In addition, they will learn selected aspects of converting, quality assurance, reuse and retention of data.
198822
VU Introduction to Data Management: Management of Unstructured, Semi-Structured and Structured Data (VU / 3h / 5 ECTS-AP)
Joanna Chimiak-Opoka, Hauke Licht, Reto Stauffer
Details of this course
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)
Reto Stauffer, Nikolaus Umlauf, Achim Zeileis
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).