The course provides the student with an integrated presentation of (i) the formalisms of data structures, graphs and algorithms, (ii) the development of efficient and reliable software using these formalisms, and (iii) theapplications of the data structures, graphs and algorithms topics (including appropriate elements of graph theory) within representative computing, information, and communications engineering applications. Principles will be applied through programming projects solving representative problems drawn from data networking and other applications.

Introduction and review of probability as a measure, measure theoretic notions of random variables and stochastic processes, discrete time and continuous time Markov chains, renewal processes, delayed renewal processes, convergence of random sequences, martingale processes, stationarity and ergodicity. Applications of these topics with examples from networked communications, wireless communications, statistical signal processing and game theory.

Review of probability theory with applications to digital communications, digital modulation techniques, receiver design, bit error rate calculations, bandwidth efficiency calculations, convolutional encoding, bandwidth efficient coded modulation, wireless fading channel models, and shannon capacity, software simulation of communication systems.

The objective of this course is to introduce current techniques in securing IP and multimedia networks. Topics under IP security will include classic cryptography, Diffie-Hellman, RSA, end-to-end authentication, Kerberos, viruses, worms and intrusion detection. Topics from multimedia will include steganography, digital watermarking, covert channels, hacking, jamming, security features in MPEG-4, secure media streaming, wireless multimedia, copy control and other mechanisms for secure storage and transfer of audio, image and video data.

Introduction to information networks, data transmission and encoding, digital communication techniques, circuit switching and packet switching, OSI protocols, switched networks and LANs, introduction to ISDN and ATM/SONET networks, system architectures.

This course emphasizes a major component of contemporary networked information systems, namely visually rich information, including multimedia, virtual reality, human-machine interactions and related topics. The students complete a project in which they demonstrate competency in creating and manipulating the information and the resources used to store, transfer and present the information.

This course will deal with the main aspects of applied modeling and optimization suitable for engineering, science, and business students. Sample applications to be used as case studies include channel capacity computation (information theory), statistical detection and estimation (signal processing), sequential decision making/revenue maximization (business), and others. Topics will include introduction to convex and non-linear optimization and modeling; linear, quadratic, and geometric program models and applications; stochastic modeling; combinatorial issues; gradient techniques; machine learning algorithms; stochastic approximation; genetic algorithms; and ant colony optimization.

Learn the technologies that make the Internet work. You will understand the TCP and IP protocols and their interaction. You will study the TCP slow start in low noise and high noise environments, the use of proxy servers, web caching, and gain understanding of the technologies used to make routers perform well under load. These include shortest path routing, new routing protocols, TCP congestion control, leaky bucket and token bucket admission control, weighted fair queueing and random early detection of congestion. Networks are described in terms of their architecture, transport, routing and management. Quality of Service (QoS) models are integrated with communication models. The course requires problem solving and extensive reading on network technology. After an introduction to bridges, gigabit ethernet, routing and the Internet Protocol, a fundamental understanding of shortest path and distance vector routing is taught. A “problem/solution” approach is used to develop how and why the technology evolved to keep engineering tradeoffs in focus. Continuation of Information Networks I with a focus on the network and transport layers of the OSI layers. Protocol definitions for distributed networks and performance analysis of various routing protocols including Bellman-Ford, BGP and OSPF. TCP over IP is discussed. Other topics include pipelining, broadcast routing, congestion control and reservations, Leaky and Token Bucket algorithms, weighted fair queuing, tunneling, firewalls, Ipv4 and IPv6. Network layers in SAN including the different service categories are discussed. The TCP and UDP transport protocols are discussed in depth along with network security, DNS, SAN, SLIP, firewalls and naming.