Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

The student knows of the phases in the software development life cycle and can apply large language models as a part of the software development life cycle. The student can create programs with the support of large language models and can create programs that interact with large language models. The student can critically evaluate large language model outputs and knows of issues of using large language models in software engineering. The student knows of principles related to training and fine-tuning large language models for software engineering tasks.

Credits: 2

Schedule: 01.05.2025 - 31.07.2025

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Arto Hellas

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    Producing code with large language models, software engineering and software development life cycle, constructing programs with large language models, quality and applicability of large language model produced code, constructing programs that interact with large language models, training and fine-tuning large language models

DETAILS

Substitutes for Courses
Prerequisites