Oxford Mathematics | Networks: Part 6 - Oxford Mathematics 4th Year Student Lecture @OxfordMathematics | Uploaded 2 years ago | Updated 1 hour ago
Network Science provides generic tools to model and analyse systems in a broad range of disciplines, including biology, computer science and sociology.
This course (we are showing the whole course over the next few weeks) aims at providing an introduction to this interdisciplinary field of research, by integrating tools from graph theory, statistics and dynamical systems. Most of the topics to be considered are active modern research areas.
This is a mathematical course, where we emphasise the inner working of the methods, but with real-world applications in mind. As a leitmotiv, we will explore the two-way relations between network structure and dynamics: how does network structure affect spreading dynamics, for instance epidemic spreading? How can we use dynamical processes to uncover salient structures in a large network?
You can watch many other student lectures via our main Student Lectures playlist (also check out specific student lectures playlists):
youtube.com/playlist?list=PL4d5ZtfQonW0A4VHeiY0gSkX1QEraaacE
All first and second year lectures are followed by tutorials where students meet their tutor to go through the lecture and associated problem sheet and to talk and think more about the maths. Third and fourth year lectures are followed by classes.
Network Science provides generic tools to model and analyse systems in a broad range of disciplines, including biology, computer science and sociology.
This course (we are showing the whole course over the next few weeks) aims at providing an introduction to this interdisciplinary field of research, by integrating tools from graph theory, statistics and dynamical systems. Most of the topics to be considered are active modern research areas.
This is a mathematical course, where we emphasise the inner working of the methods, but with real-world applications in mind. As a leitmotiv, we will explore the two-way relations between network structure and dynamics: how does network structure affect spreading dynamics, for instance epidemic spreading? How can we use dynamical processes to uncover salient structures in a large network?
You can watch many other student lectures via our main Student Lectures playlist (also check out specific student lectures playlists):
youtube.com/playlist?list=PL4d5ZtfQonW0A4VHeiY0gSkX1QEraaacE
All first and second year lectures are followed by tutorials where students meet their tutor to go through the lecture and associated problem sheet and to talk and think more about the maths. Third and fourth year lectures are followed by classes.
