You may use the textbook and course notes on these exams, but no other source. We'll cover topics such as speedup, domain decomposition, load balancing, synchronization, and shared vs distributed memory. Prerequisites: EECS 380, or equivalent experience. We will also provide practice questions that will be discussed in the discussion sections.EECS 482 is an introductory course in operating systems at the senior undergraduate level or first-year graduate level. After some introductory lectures on basic principles, the course will cover the following topics: quantum circuit synthesis, simulation and testing, matrix methods, algorithm implementation, error-correction techniques, experimental systems, research problems.As process technology has entered into deep-submicron dimensions, feature sizes of 0.15 and 0.13 micrometers are now common, resulting in a number of new challenges in the implementation of large designs.

Pragmatic aspects of the production of software systems, dealing with structuring principles, design methodologies and informal analysis. To further your understanding of other topics, we will provide practice questions that will be presented in the discussion sections. This course will provide a practical survey of both the principles and practices of cryptography and network security. We study the workings of the Ethernet and the Internet: how packets are routed, how packets are transmitted, and what to do when there is network congestion. We will cover topics such as processes and threads, concurrency and synchronization, CPU scheduling, virtual memory management, communication in distributed systems, secondary-storage management, file systems, and security. If you have not taken 484, you may take this course only if you have extensive database programming experience and obtain the instructor's permission. Instead, we will supply substantial code, which you will run, modify, and use to conduct experiments. An introduction to probability course such as EECS 401, EECS 501, Math 425, Math 525, or Stat 412 is highly recommended as a co-requisite.In this course we will study the technology, science, and art involved in the creation of computer games. Computer literacy is essential; some programming experience would be helpful. In discussion sections, we will also present material on the practice of programming, including elegance in design and coding, the process of testing and debugging, and how to effectively work in teams.Prerequisites: Students must have obtained a grade of C or better in each of EECS 370 and EECS 380, or have equivalent knowledge of computer architecture, data structures, and C/C++ programming. In the end, what we will be studying is not just the Internet, but how to build scalable and sustainable global computer and communication networks. Design of efficient data structures and analysis of the running time and space requirements of algorithms in the worst and average cases. You should know what processes and threads are and be familiar with concurrency and interprocess communication. Final course grades will be based on the total points earned on the homework, computer programming projects, and the two exams.Class Text: Computer Graphics; Donald Hearn, M. Pauline Baker Source Code Link: http://www.ncsa.uiuc.edu/Vis/Graphics/code.html Interactive Computer Graphics, A Top-Down Approach with OpenGL; Edward Angel.

In order to more fully understand operating systems, you will implement several projects that expose you to much of the core functionality in modern operating systems. Graduate and advanced undergraduate students in many different departments have used these projects to start on a research topic or to incorporate parallelism into research already started. We will explore this "knowledged-based" programming methodology through substantial exercises in three "AI" languages: Successful students will complete the course with a working knowledge in each of these languages, and more importantly, with a broader perspective on programming itself.Pipelining and operation overlapping, SIMD and MIMD architectures, numeric and non-numeric applications, VLSI, WSI architectures for parallel computing, performance evaluation. Graduate students must have equivalent knowledge of computer architecture, data structures, and C/C++ programming. I will assume that you have a solid understanding of both digital logic design from 270 and the following material from 370: assembly language, machine language, ALU design, and the basic ideas of pipelining, caches, and virtual memory. In this course, we will examine a number of the issues that the deep submicron designer has to face in order to implement high-performance circuits in the latest CMOS technologies.We will examine 5 topics that cover some of the key issues in the design of deep submicron ICs. The first one is a classic, which is often referred to as the dragon or dinosaur book (I think it's a dragon on the cover). In fact, randomness is essential for certain tasks in cryptography and distributed computation.In the first half of this course, we will study a collection of techniques for effectively using randomization and for analyzing randomized algorithms.

Design of efficient data structures and analysis of the running time and space requirements of algorithms in the worst and average cases. Optimization of finite-state machines. If you are looking to learn C++/STL, EECS 280 or EECS 281 are relevant classes.

Factors such as class participation may be used to adjust your final grade, especially if it falls on a borderline. Many have gone on to jobs in parallel or scientific computing.Principles and practice of distributed systems design. MEMS and Integrated Microsystems are increasingly finding applications in many areas including automotive, health care, industrial processing, environmental monitoring, biomedical systems, chemical analysis, energy sources, telecommunication, aerospace systems, consumer appliances, and many others. Coursework will comprise extensive reading, research and writing assignments, quizzes, and a final project. Enrollment is restricted to graduate students. While not a formal prerequisite, familiarity with simple trigonometry and linear algebra concepts will make the course material easier to understand and comprehend. Attempts to understand some basic scientific questions, use of simple, but elegant, mathematics, and building rigorous foundations for important practical applications are some of the interesting highlights of this course.

Both of them are widely used in networking.

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