Dr. Karoline Vildlyng

Assistant Professor

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Biography

Karoline Liv Vildlyng is an Information Specialist and Liaison Librarian at Aarhus University Library, located in the Nobel Park. With expertise in Philosophy and History, she focuses on integrating digital methods into library science, particularly in developing new courses that enhance students' skills in digital methods and data competencies. Vildlyng is involved in innovative teaching projects such as 'Knit & Code', which combines text mining and R coding with traditional handcrafts, and 'Decode Art', aimed at providing insights into digitized art collections through data visualization techniques. She actively participates in organizing conferences and workshops, contributing to the development of strategies for teaching reference management and improving the use of digital and analog library resources among students at various academic levels. Her academic qualifications include a Master's degree in Modern Culture Communication. Vildlyng is committed to optimizing information retrieval and reference management in educational contexts, ensuring that students are well-equipped for both practical and theoretical challenges in their studies.

Research Interests

Experience

Information Specialist, Liaison Librarian

— Present

Aarhus University Library • Aarhus, Denmark

Responsible for optimizing digital methods and reference management in library services, developing educational workshops and courses for students.

Requirements for Aarhus University

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Overall
Required:6.5
TOEFL
Total
Required:83
Prerequisites
Bachelor's degree in a relevant field Specific credit requirements in programming, algorithms, and computer systems
Application Checklist
  • Official Bachelor's degree certificate
  • Official transcripts of records
  • Course descriptions
  • Curriculum Vitae (CV)
  • Documentation of English language proficiency
Specialization Notes

Department of Computer Science offers tracks in Software Efficiency, Cryptography, and Data Science.