Rather, any and all parts purchased through this website are sold to you by your dealer. FORD is not the seller of the parts offered for sale on this website. A few advanced topics are discussed in dedicated scientific publications.The Ford Parts online purchasing website ("this website"or "") is brought to you by Ford Motor Company ("FORD") together with the Ford or Lincoln Mercury Dealership that you select as your preferred dealer ("dealer"). Wilson and "Network Science" by Albert-László Barabási. Other books that contain (part of) the material are "Introduction to Graph Theory" by R. LiteratureMost of the material is covered in the book "Van Steen, M., Graph Theory and Complex Networks: An Introduction. There are also mandatory homework group assignments which contribute for the remaining 20% of the final grade. Both exams account for 40% of the total grade. Method of AssessmentThe final grade is determined by two written exams: The midterm and the final exam. Attendance is not mandatory but highly encouraged. Moreover, there are also one or two exercise classes per week. Teaching MethodsThere are two main lectures (either online or at the VU campus) per week. To this end, we'll be discussing various models for complex networks and their properties. Standard mathematical terminology and techniques, including:Ģ. In particular, you will be conducting simple experiments dealing with the construction and analyses of networks. We'll be paying attention to the math that underlies graphs and networks, as well as the application to real-world situations. In this course, graph theory and its applications are the main focus point. Many real-world phenomena turned out to be conveniently modeled by networks, and in such a way that it allowed us to better understand those phenomena. In the last 20 years we have seen an increase in interests for networks/graphs. Why do certain diseases spread so rapidly and others not? The core of the answers to these questions is formed by the notion of network: a mathematical concept consisting of nodes that are joined by edges. Why are navigation Systems so responsive to traffic jams? Why is Google so effective and efficient? Why does the Internet continue to function despite big disasters? why is it difficult, if not impossible, to remove data from the Web? This increased connectivity is leading to new phenomena that are not that easy to understand: read and understand introductory, popular texts on networks There are eight learning goals: G1: Learn the basic notions and notations used in Graph Theory (Knowledge and understanding) G2: Learn the various types of graphs and their properties (Knowledge and understanding) G3: Familiarize with standard algorithms that work on graphs (Knowledge and understanding) G4: Familiarize with well- known applications of complex networks on the Web and social networks (Knowledge and understanding) G5: Learn the most important models for complex networks and be able to compare them (Knowledge and understanding) (Making judgements) G6: Use existing metrics for the analysis of complex networks (Applying knowledge and understanding) (Making judgements) G7: Learn to argument using a formal language about properties of graphs and graph algorithms (Applying knowledge and understanding) (Communication) G8: Able to model a realistic situation using a graph and/or complex network (Applying knowledge and understanding) Course ContentThe world around us is becoming increasingly connected. construct networks and conduct simple analyses of existing ones show the (in)correctness of mathematical statements about graphs model simple real-world situations expressed in graphs/networks You will also be able to use (simple) discrete math for notations and proofs. URL study guide Course ObjectiveAfter taking this course, you will be able to describe what the science of networks is all about, making use of terminology from graph theory and basic probabilities.
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