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The Education for Sustainable Living Program (ESLP), ESLP is a student designed, student developed, and student facilitated program offered through the Institute of the Environment. The Speaker Series brings guest speakers from UCLA and across the country to speak on specialized subjects including food systems, green business, organic gardens, sustainable living, the green economy, environmental justice, transportation, as well as sustaina...more
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This course is designed to serve as a first course in an undergraduate electrical engineering (EE), or electrical engineering and computer science (EECS) curriculum. The course introduces the fundamentals of the lumped circuit abstraction. Topics covered include: resistive elements and networks; independent and dependent sources; switches and MOS transistors; digital abstraction; amplifiers; energy storage elements; dynamics of first- ...more
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A General Education Course introducing non-Life Science Majors to the Life Sciences, challenging them to explore and understand important issues in the field. Topics include chemistry of life, genetics, physiology, evolution, and ecology -- all explored in lecture and debates. Professor Jay Phelan has a Ph.D. in Biology from Harvard, and masters and bachelors degrees from UCLA and Yale. Some clips and images may have been blurred or rem...more
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The internal organization and operation of digital computers. Machine architecture, support for high-level languages (logic, arithmetic, instruction sequencing) and operating systems (I/O, interrupts, memory management, process switching). Elements of computer logic design. Tradeoffs involved in fundamental architectural design decisions.
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This course uses the theory and application of atomistic computer simulations to model, understand, and predict the properties of real materials. Specific topics include: energy models from classical potentials to first-principles approaches; density functional theory and the total-energy pseudopotential method; errors and accuracy of quantitative predictions: thermodynamic ensembles, Monte Carlo sampling and molecular dynamics simulations...more
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This course examines the Old Testament (Hebrew Bible) as an expression of the religious life and thought of ancient Israel, and a foundational document of Western civilization. A wide range of methodologies, including source criticism and the historical-critical school, tradition criticism, redaction criticism, and literary and canonical approaches are applied to the study and interpretation of the Bible. Special emphasis is placed on the ...more
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"Professor Lynn Hunt lectures in this course which covers a broad, historical study of major elements in Western heritage from the world of the Greeks to that of the 20th century, designed to further beginning students' general education, introduce them to ideas, attitudes, and institutions basic to Western civilization, and acquaint them, through reading and critical discussion, with representative contemporary documents and writings of e...more
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Today's websites are increasingly dynamic. Pages are no longer static HTML files but instead generated by scripts and database calls. User interfaces are more seamless, with technologies like Ajax replacing traditional page reloads. This course teaches students how to build dynamic websites with Ajax and with Linux, Apache, MySQL, and PHP (LAMP), one of today's most popular frameworks. Students learn how to set up domain names with DNS, ho...more
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Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types. Algorithms for sorting and searching. Introduction to the Java programming language.
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This course teaches techniques for the design and analysis of efficient algorithms, emphasizing methods useful in practice. Topics covered include: sorting; search trees, heaps, and hashing; divide-and-conquer; dynamic programming; amortized analysis; graph algorithms; shortest paths; network flow; computational geometry; number-theoretic algorithms; polynomial and matrix calculations; caching; and parallel computing.
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Basic concepts of operating systems and system programming. Utility programs, subsystems, multiple-program systems. Processes, interprocess communication, and synchronization. Memory allocation, segmentation, paging. Loading and linking, libraries. Resource allocation, scheduling, performance evaluation. File systems, storage devices, I/O systems. Protection, security, and privacy.
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