Type of course

Admission requirements

PhD students or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. PhD students must upload a document from their university stating that there are registered PhD students. This group of applicants does not have to prove English proficiency and are exempt from semester fee. Holders of a Master´s degree must upload a Master´s Diploma with Diploma Supplement / English PhD students at UiT The Arctic University of Norway register for the course through StudentWeb . External applicants apply for admission through SøknadsWeb.

Application code 9303.

All external applicants have to attach a confirmation of their status as a PhD student from their home institution. Students who hold a Master of Science degree, but are not yet enrolled as a PhD-student have to attach a copy of their master's degree diploma. These students are also required to pay the semester fee.

Course content

Objectives of the course

Knowledge:

• Knowledge of the classic and contemporary state of the art literature on distributed systems.
• Knowledge of design and implementation principles in modern distributed systems.
• The best way to understand the systems described in the literature is by practice, and so an important part of the course is a substantial distributed system design and implementation project.

Skills:

• Skills in participating in a technical discussion of advanced scientific papers
• Skills in systems-level programming. How to build a working prototype of a non-trivial distributed system including its architecture, design, and implementation.
• Skills in the languages, frameworks, and tools used to build a prototype distributed system
• Designing and performing performance measurements on distributed code
• Analyze the behavior of the developed prototype(s)
• Skills in presenting a system, giving a demonstration of it, and identify lessons learned.
• Identify research problems and challenges in distributed systems
• List the state-of-art tools and techniques for addressing research problems and challenges in distributed systems

General competence:

• Competence to read scientific literature, and carefully extract information from it and present it coherently in public.
• Competence in selecting a suitable set of programming languages, frameworks, and tools for a given problem domain.
• Competence in asking relevant questions about computer based systems
• Conduct technical reviews, technical writing, and technical presentations

Language of instruction and examination

Teaching methods