Networked systems arise in many aspects of science and engineering. Typical examples include communication networks, electricity grids, social networks and human interactions, and models depicting the spread of diseases. Often, the behaviour of these systems is dependent upon the spatial embedding of the network. Over the past few decades, mathematicians, physicists and engineers have made great progress toward developing mathematical tools and models that can be used to analyse networks and identify ways in which to influence their properties to achieve some stated objective. In recognition of these facts, this two-day short course has been designed to educate graduate students, postdocs and enthusiasts of network science in the nuances of particular aspects of complex network theory and point processes in relation to spatial network analysis. Care will be taken to discuss theoretical concepts in the context of various applications (e.g., wireless communication networks). Researchers interested in the mathematics of networks and the application of such formalisms to practical systems will find the course useful.

This course will take place during **11–12 September, 2017** at Oriel College in Oxford. Details regarding travel and accommodation can be found below. The syllabus will cover a range of fundamental topics:

- Fundamentals of networks
- Approaches to network analysis
- Multilayer networks
- Percolation and connectivity
- Stochastic geometry
- Point processes
- Spatial networks

These fundamental topics will be explored in the context of the following questions:

- How can one compare degree heterogeneities in the presence of scarce data?
- What is the structural meaning of degree assortativity?
- How can one navigate a network without knowing the shortest paths?
- How many topological classes of networks exist?
- How can one quantify the bipartivity of a network?
- Under what conditions do networks percolate?
- What are the main point process models that can be used to represent real-world scenarios?
- How can network theory be applied to solve practical problems?
- How can one employ tools from stochastic geometry to analyse and design communication networks?

Tutorial-style lectures will be given by established speakers with mathematical and engineering backgrounds (listed in alphabetical order):

**Ginestra Bianconi**, Queen Mary, University of London**Marco Di Renzo**, CNRS-SUPÉLEC-University of Paris-Sud XI**Ernesto Estrada**, University of Strathclyde**Vito Latora**, Queen Mary, University of London

**Register here.** Please note that registration is free, but space is limited.

Oxford University will host a two-day symposium focused on **spatial networks** from **13-14 September, 2017**. The symposium will bring together experts from mathematics, physics and engineering communities working on elements of graph theory, complex networks, information theory and communication theory. Keynote talks will be given by the following leading experts (in alphabetical order):

**François Baccelli**, University of Texas at Austin**Marc Barthélemy**, CEA Institut de Physique Theorique**Ginestra Bianconi**, Queen Mary, University of London**Marco Di Renzo**, CNRS-SUPÉLEC-University of Paris-Sud XI**Ernesto Estrada**, University of Strathclyde**Vito Latora**, Queen Mary, University of London

This will be the second in a series of three multi-disciplinary symposia supported by the Engineering and Physical Sciences Research Council. This event will be hosted at Oriel College (the fifth oldest college in Oxford, founded in 1326). Details regarding travel and accommodation can be found below.

**Register here.** Please note that registration is free, but space is limited.

The short course and the symposium will both take place in the Harris Lecture Theatre at Oriel College in Oxford. The College is located just off the High Street, right in the centre of Oxford, a stone's throw from the Bodleian Library, the University Church of St Mary the Virgin (the site where the first scholars of the University of Oxford met), and the Radcliffe Camera. This map of the Oriel College may be useful to attendees. For details and instructions on how to reach Oxford by rail, road or air, see the university visitor webpage.

Booking accommodation in Oxford is fairly straightforward. Many colleges offer rooms for reasonable prices. Alternatively, one may choose from numerous hotels and bed & breakfasts in and around the city centre. Further information can be found by the non-exhaustive set of links given below. **Note that rooms can go quickly during the tourist season, so please book early to avoid disappointment.**