41903 Internet Science6cp; 1hpw (quiz), 2hpw (laboratory)
Requisite(s): (41092 Network Fundamentals OR 31270 Networking Essentials OR 48720 Network Fundamentals) AND (96 credit points of completed study in Bachelor's Degree owned by FEIT OR 96 credit points of completed study in Bachelor's Honours Embedded owned by FEIT OR 96 credit points of completed study in Bachelor's Combined Degree owned by FEIT OR 96 credit points of completed study in Bachelor's Combined Honours owned by FEIT OR 96 credit points of completed study in Bachelor's Combined Degree co-owned by FEIT OR 96 credit points of completed study in Bachelor's Combined Honours co-owned by FEIT)
Anti-requisite(s): 48740 Communications Networks
Fields of practice: ICT Engineering
This subject exposes students to the latest developments in networking, with a particular focus on the Internet and its measurement, using the research literature as a vehicle. Rather than learning the building blocks of networking in isolation as one would in a traditional networking course, students learn through working to understand, reproduce, and even extend, existing research work, assembling whatever knowledge and skills are needed along the way. Students work directly with research papers, and associated Internet-derived data sets, in diverse ways following a master-apprentice style model of training in face-to-face tutorial and laboratory sessions. Tutorial content combines mathematical and practical tool-kit building. Assessment covers both individual and team work and takes the form of reports, an oral exam, write-ups of experimental findings in the laboratory, including code, and an exam style online Quiz.
This is a challenging course that makes extensive use of Matlab for data analysis, as well as CLI tools in Unix. Students should either have a strong grasp of Matlab, or have a strong programming background, enabling them to pick it up quickly. Internet measurement was one of the founding areas of `Big Data', and many of its practices have spread to other areas, and have strongly influenced the rise of `Data Science’. In this course you'll be learning about an Internet flavoured Data Science.
Spring session, City campus
Detailed subject description.