Applied Programming

This in-depth course teaches you advanced programming techniques designed to help you tackle complex challenges in language and speech technology.
AI generated image based on the course description

Image generated by OpenAI's DALL·E on the basis of the course description (LIS050) 07/02/2024.

In this course you will practise solving complex problems in language and speech technology, by constructing programmes in Python. You will also learn more about:

  • Efficient Programming – Learn to create time- and memory-efficient programs. The course covers essential concepts such as algorithms and data structures appropriate for addressing specific problems within language and speech technology, optimized performance, and efficiency.
  • Use of External Libraries – Develop the ability to independently identify when and how external libraries should be integrated into your projects. You will gain practical experience in finding, evaluating, and implementing these libraries to enhance your programs.
  • Collaboration and Documentation – Learn to effectively contribute to larger software projects by constructing well-organized program components and following industry standards for code structure and documentation.

Applied Programming is an in-depth course and you need the course Introduction to programming to be eligible.

Both courses are given in the
Master's programme in AI and Language.



Teaching Format

Instruction is given in the form of lectures and laboratory sessions.


Assessment

This course is examined on the basis of written assignments and a written examination.

Examiner

Robert Östling (examiner and coordinating teacher)

The schedule will be available no later than one month before the start of the course. We do not recommend print-outs as changes can occur. At the start of the course, your department will advise where you can find your schedule during the course.


Note that the course literature can be changed up to two months before the start of the course.


Course reports are displayed for the three most recent course instances.








If you have questions about the Master's programme in AI and Language, contact us at master-ai@ling.su.se.

For other questions, you are welcome to contact our Student Office!

Department of Linguistics

Student Office

Visiting addressRoom C 378, floor 3

Visiting hoursTuesdays 9–10,
Wednesdays 13–15,
Thursdays 13–16

Phone hoursTuesdays 9–10,
Wednesdays 13–15,
Thursdays 9–11 and 13–16