Machine Learning


Computational Linguistics

Linguistics

The purpose of this course is to provide students with a theoretical and applied introduction to computational linguistics. Students will gain hands-on experience with computational and corpus-based methods to gain insight into natural language data, including both structured and unstructured data. 

Go to the AU Course Catalogue for further details about the Computational Linguistics course.


Language Analytics

Cultural Data Science

The purpose of this course is to familiarize students with tools and techniques from Natural Language Processing which can be used to explore questions about culture through the use of digitized textual data. 

Go to the AU Course Catalogue for further details about the Language Analytics course.


Natural Language Processing

Cognitive Science

The purpose of the course is to introduce students to advanced statistical methods used in the analysis of text and speech data. The course also introduces students to computational models used in speech and text recognition and prediction, and to models used to generate text and speech outputs in artificial intelligence systems, such as digital assistants and chat bots.

Go to the AU Course Catalogue for further details about the Natural Language Processing.


Visual Analytics

Cultural Data Science

The purpose of the course is to enable students to conduct systematic computational analyses of visual objects such as paintings, photographs, archaeological artefacts, and digital products. The course introduces basic programming and visualization skills for the systematic analysis of collections of visual materials. Students will learn how to develop research questions about visual materials, to structure research projects to address their research questions, and to apply computational tools in their projects to provide answers to their questions.

Go to the AU Course Catalogue for further details about the Visual Analytics course.


Introduction to Cultural Data Science

Cultural Data Science

The purpose of the course is for students to acquire the fundamental data management and analysis skills for use in working with data related to culture, which are necessary for the rest of the programme. The focus of the course is on basic technical skills useful for developing quantitative analyses of topics relating to human culture.

Go to the AU Course Catalogue for further details about the Introduction to Cultural Data Science course.


Experimental Psycholinguistics - Introduction to Python

Linguistics

By developing skills in quantitative analysis and digital data collection, the course prepares students for the MA course on Computational Linguistics, and for thesis projects applying quantitative and experimental methods. The course prepares students to work in careers that rely on experimental and statistical methods.

Go to the AU Course Catalogue for further details about the Experimental Psycholinguistics course.

 


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