TDDE51 · 6 credits · Advanced level (A1N) · Informationsteknologi, Datateknik, Datavetenskap

Methods and Tools for Large Distributed Projects

Active · next start VT 2027

100%

passed the latest regular sitting

LAB1 · 12 Jun 2026 · 24 students

100%

passed the regular sittings, all sittings over the last 5 years

LAB1 · 170 students

This module only reports passing results, so the pass rate does not show how many did not pass.

Part of 4 programmes

Hand-in or lab

100% passed · 170 students

No sittings with at least 5 students.

Show small sittings (13)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Hand-in or lab

100% passed · 172 students

No sittings with at least 5 students.

Show small sittings (13)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

After this course, students shall be able to:

Identify, categorize and assess different roles in a large-scale development project (UPG1)
Describe and analyze the organization, requirements and coding conventions of a large-scale development project (UPG1)
Use, adapt, and develop advanced tools and methods appropriate for large-scale development projects (LAB1)
Analyze methods and tools for large-scale development within the context of a specific development project.

Module systems for large-scale software projects,
Communications in distributed development teams,
Techniques and tools for automated dependency management, testing and deployment of software, such as, for example, Maven, Jenkins and Docker.
Principles for distributed version control systems such as, for example, Git and Mercurial.