This course provides a deep understanding of engineering systems at a level intended for research on complex engineering systems. It provides a review and extension of what is known about system architecture and complexity from a theoretical point of view while examining the origins of and recent developments in the field. The class considers how and where the theory has been applied, and uses key analytical methods proposed. Students examine the level of observational (qualitative and quantitative) understanding necessary for successful use of the theoretical framework for a specific engineering system. Case studies apply the theory and principles to engineering systems.

Life as an emergent property of networks of chemical reactions involving proteins and nucleic acids. Mathematical theories of metabolism, gene regulation, signal transduction, chemotaxis, excitability, motility, mitosis, development, and immunity. Applications to directed molecular evolution, DNA computing, and metabolic and genetic engineering.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"Walking through the produce section at the grocery store, you are likely to find tomatoes of all shapes, sizes, and colors. One variety may be large and oblong with a hint of bitter flavor while another will have small, sweet fruits. This variance is primarily the result of genetic and chemical properties of the different varieties. But it turns out, environment also plays a role. A team of Italian scientists has shown that the molecular properties of tomatoes are strongly influenced by environmental factors such as temperature and moisture. And changing these factors can, in turn, have pronounced effects on the physical and culinary qualities of the fruits – an important finding considering the pace of current climate change. To tease apart the interaction between genetics, environment, and organoleptic traits, the research team grew three tomato varieties in two different locations. This exposed the plants to varying levels of moisture, soil acidity, and temperature, among other conditions..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

This course provides an introduction to the technology and policy context of public communications networks, through critical discussion of current issues in communications policy and their historical roots. The course focuses on underlying rationales and models for government involvement and the complex dynamics introduced by co-evolving technologies, industry structure, and public policy objectives. Cases drawn from cellular, fixed-line, and Internet applications include evolution of spectrum policy and current proposals for reform; the migration to broadband and implications for universal service policies; and property rights associated with digital content. The course lays a foundation for thesis research in this domain.

Students learn about complex networks and how to represent them using graphs. They also learn that graph theory is a useful mathematical tool for studying complex networks in diverse applications of science and engineering, such as neural networks in the brain, biochemical reaction networks in cells, communication networks, such as the internet, and social networks. Topics covered include set theory, defining a graph, as well as defining the degree of a node and the degree distribution of a graph.

How does the global network infrastructure work and what are the design principles on which it is based? In what ways are these design principles compromised in practice? How do we make it work better in today's world? How do we ensure that it will work well in the future in the face of rapidly growing scale and heterogeneity? And how should Internet applications be written, so they can obtain the best possible performance both for themselves and for others using the infrastructure? These are some issues that are grappled with in this course. The course will focus on the design, implementation, analysis, and evaluation of large-scale networked systems.
Topics include internetworking philosophies, unicast and multicast routing, congestion control, network quality of service, mobile networking, router architectures, network-aware applications, content dissemination systems, network security, and performance issues. Material for the course will be drawn from research papers, industry white papers, and Internet RFCs.

Using a website simulation tool, students build on their understanding of random processes on networks to interact with the graph of a social network of individuals and simulate the spread of a disease. They decide which two individuals on the network are the best to vaccinate in an attempt to minimize the number of people infected and "curb the epidemic." Since the results are random, they run multiple simulations and compute the average number of infected individuals before analyzing the results and assessing the effectiveness of their vaccination strategies.

This resource is a video abstract of a research paper created by Research Square on behalf of its authors. It provides a synopsis that's easy to understand, and can be used to introduce the topics it covers to students, researchers, and the general public. The video's transcript is also provided in full, with a portion provided below for preview:

"A new study from the Max Planck Institute for Human Development unveils the deep bodily connections that can form among choir singers Researchers tracked different physiological variables as a choir sung and used algorithms to uncover connections between them Aside from a blending of voices, they found that choir singers’ heart rates and breathing patterns sync up when performing as a group This merging was coupled to the vocalization patterns of the singers The conductor’s hand movements also caused a shared physiological response among the singers In essence, the work suggests that a choir can be considered a type of coherent physiological entity… or, as the researchers suggest, a superorganism Viktor Müller, Julia A.M. Delius, Ulman Lindenberger. Complex networks emerging during choir singing..."

The rest of the transcript, along with a link to the research itself, is available on the resource itself.

In the year 1970’s when relational database came into picture, data schema to be worked upon were reasonably elemental and simple wherein the data items were to be arranged as a set of formally described tables with rows and columns. But with the need to store volumes and variety of data (unstructured) in recent years, non-relational database technologies            (document-oriented, graph based, column based, key-value and hybrid) have emerged to address the requirement that allow data to be grouped together more naturally and logically. One of the most popular ways of storing data is a document-oriented database, basically employed for storing, managing and retrieval of semi-structured data where each record and its associated data is considered of as a “document”. A document-oriented database is also termed as a document store or simple document, is one of the kind of NoSQL database. 

Students use graph theory to create social graphs for their own social networks and apply what learn to create a graph representing the social dynamics found in a dramatic text. Students then derive meaning based on what they know about the text from the graphs they created. Students learn graph theory vocabulary, as well as engineering applications of graph theory.

Students analyze their social networks using graph theory. They gather data on their own social relationships, either from Facebook interactions or the interactions they have throughout the course of a day, recording it in Microsoft Excel and using Cytoscape (a free, downloadable application) to generate social network graphs that visually illustrate the key persons (nodes) and connections between them (edges). The nodes in the Cytoscape graphs are color-coded and sized according to the importance of the node (in this activity, nodes are people in students' social networks). After the analysis, the graphs are further examined to see what can be learned from the visual representation. Students gain practice with graph theory vocabulary, including node, edge, betweeness centrality and degree on interaction, and learn about a range of engineering applications of graph theory.

Students simulate disease transmission by collecting data based on their proximity to other students. One option for measuring proximity is by having Bluetooth devices "discover" each other. After data is collected, students apply graph theory to analyze it, and summarize their data and findings in lab report format. Students learn real-world engineering applications of graph theory and see how numerous instances of real-world relationships can be more thoroughly understood by applying graph theory. Also, by applying graph theory the students are able to come up with possible solutions to limit the spread of disease. The activity is intended to be part of a computer science curriculum and knowledge of the Java programming language is required. To complete the activity, a computer with Java installed and appropriate editing software is needed.

This website is a comprehensive look at digital citizenship for K-12 students, parents and teachers. It covers a wide variety of topics including: online security, online relationships and cyberbullying, digital footprint, digital citizenship, the use of copyrighted information and much more.

Students learn about complex networks and how to use graphs to represent them. They also learn that graph theory is a useful part of mathematics for studying complex networks in diverse applications of science and engineering, including neural networks in the brain, biochemical reaction networks in cells, communication networks, such as the internet, and social networks. Students are also introduced to random processes on networks. An illustrative example shows how a random process can be used to represent the spread of an infectious disease, such as the flu, on a social network of students, and demonstrates how scientists and engineers use mathematics and computers to model and simulate random processes on complex networks for the purposes of learning more about our world and creating solutions to improve our health, happiness and safety.

Graph theory is a visual way to represent relationships between objects. One of the simplest uses of graph theory is a family tree that shows how different people are related. Another application is social networks like Facebook, where a network of "friends" and their "friends" can be represented using graphs. Students learn and apply concepts and methods of graph theory to analyze data for different relationships such as friendships and physical proximity. They are asked about relationships between people and how those relationships can be illustrated. As part of the lesson, students are challenged to find the social graph of their friends. This prepares students for the associated activity during which they simulate and analyze the spread of disease using graph theory by assuming close proximity to an infected individual causes the disease to spread.

6.857 Network and Computer Security is an upper-level undergraduate, first-year graduate course on network and computer security. It fits within the Computer Systems and Architecture Engineering concentration.

This seminar is a space for collaborative inquiry into the relationships between social movements and the media. We'll review these relationships through the lens of social movement theory, and function as a workshop to develop student projects. Seminar participants will work together to explore frameworks, methods, and tools for understanding networked social movements in the digital media ecology. We will engage with social movement studies as a body of theoretical and empirical work, and learn about key concepts including: resource mobilization; political process; framing; New Social Movements; collective identity; tactical media; protest cycles; movement structure; and more. We'll explore methods of social movement investigation, examine new data sources and tools for movement analysis, and grapple with recent innovations in social movement theory and research. Assignments include short blog posts, a book review, co-facilitation of a seminar discussion, and a final research project focused on social movement media practices in comparative perspective.

Are you struggling with internet breakdown? If you are using your friend’s Wi-Fi to find out how to fix the internet, you are exactly where you should be. This is a complete guide about resolving the issues that break down the internet connection.