PENG9630 Internet Architecture and Measurements Course description

This course will give the student insight into the different parts that comprise the internet's architecture and how one can monitor, assess and characterise them. This involves a diverse set of topics that includes but is not limited to routing and addressing, content distribution, data centre networks, key services and application such as DNS and web and mobile broadband. The course will focus particularly on quantification of the robustness and reliability of the internet's architecture and services. Furthermore, the course will draw upon new advancments in the fields of machine learning and network science to extend and expand the toolset available for anlayzing Internet measurements.

The course will be offered once a year, provided 3 or more students sign up for the course. If less than 3 students sign up for a course, the course will be cancelled for that year.

Passed-Failed.

None.

The course provides a sound grounding in some traditions and approaches that are categorised as qualitative research and their epistemological basis. The focus will be on different methodological approaches each time the course is taught.

Recent qualitative social science research also takes its inspiration from philosophy and the humanities, which is reflected in the course. Different ways of producing empirical material will be presented. Qualitative analysis is an important element in the course: the dialogue between theory and empirical data, the design of analytic tools and development of empirically based and theory-inspired analysis models, and theory generation based on empirical data. The course will also examine what contextualised analyses can entail in the field of social work and social policy. Different sets of quality criteria for qualitative knowledge projects are presented, and the course will also include information about the debate in the field.

The methodological approach for spring 2021

When "somethings" becomes data: From data production to analysis strategy.

No prior knowledge required

After completing the course, the candidates are expected to have the following knowledge, skills and general competence:

Knowledge

Candidates

• are capable of assessing the expediency and application of different methods' area of use, possibilities and limitations
• have thorough and nuanced insight into one or two specific methodological approaches, and can relate them to their own research field

Skills

Candidates are capable of

• applying qualitative research methods and conducting qualitative analyses of a high standard
• making well-thought-through choices that fit the candidates' own projects and pertaining research questions

General competence

Candidates are capable of

• considering ethical issues of different types with academic integrity
• participating in relevant international debates in the subject area
• identifying and preparing new researchable questions on the basis of complex societal conditions

The course will be organised as lectures, student presentations and discussions.

Active participation supports the development of candidates' understanding of the subject area, and candidates must have prepared by reading the syllabus in order to be able to take active part in discussions.

Participation is mandatory, and candidates are expected to attend all days of teaching. A minor absence (up to 20 %) may only be accepted under certain circumstances and upon application. In the event of absences that are not approved, candidates will lose their right to have their essays assessed.

The course lasts four days, first three days, then one last day about 10 weeks later. On the last day the participants receive feedback on submitted essay from the course leader and fellow students. Each of the participants must provide feedback on essay to two fellow students.

Candidates must write an essay of about 12-15 pages, taking their own knowledge project in qualitative methodology as their point of departure. A passed essay is a precondition for being awarded the 10 ECTS credits. If the essay is awarded a fail grade, the candidate can submit a revised essay once, by a specified deadline.

All examination support material is allowed as long as source reference and quotation technique requirements are applied.