Artificial intelligence is infiltrating our daily lives, with applications that curate your phone pics, manage your email, and translate text from any language into. Free Computer Books, Free Mathematics Books, Directory of online free computer, programming, engineering, mathematics, technical books, ebooks, lecture notes and. Browse titles in books. Management Science and Engineering | Stanford University. Courses. MS& E 2. Discrete Probability Concepts And Models. Units. Fundamental concepts and tools for the analysis of problems under uncertainty, focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, belief networks, random variables, conditioning, and expectation. The course is fast- paced, but it has no prerequisites. MS& E 5. 2. Introduction to Decision Making. Is artificial intelligence the same thing as machine learning? And what is a neural network? This slideshow explains fundamental AI terminology in everyday terms. Welcome to the Department of Computing. Study. We are renowned for our quality of teaching and have been awarded the highest grade in every national assessment. Units. How to ensure focus, discipline, and passion when making important decisions. Comprehensive examples illustrate Decision Analysis fundamentals. Consulting case studies highlight practical solutions for real decisions. Student teams present insights from their analyses of decisions for current organizations. Topics: declaring when and how to make a decision, framing and structuring the decision basis, defining values and preferences, creating alternative strategies, assessing unbiased probabilistic judgments, developing appropriate risk/reward and portfolio models, evaluating doable strategies across the range of uncertain future scenarios, analyzing relevant sensitivities, determining the value of additional information, and addressing the qualitative aspects of communication and commitment to implementation. Not intended for MS& E majors. MS& E 9. 2Q. International Environmental Policy. Units. Preference to sophomores. Science, economics, and politics of international environmental policy. Current negotiations on global climate change, including actors and potential solutions. Sources include briefing materials used in international negotiations and the U. S. Congress. MS& E 9. Q. Nuclear Weapons, Energy, Proliferation, and Terrorism. Units. Preference to sophomores. At least 2. 0 countries have built or considered building nuclear weapons. However, the paths these countries took in realizing their nuclear ambitions vary immensely. Why is this the case? How do the histories, cultures, national identities, and leadership of these countries affect the trajectory and success of their nuclear programs? This seminar will address these and other questions about nuclear weapons and their proliferation. Students will learn the fundamentals of nuclear technology, including nuclear weapons and nuclear energy, and be expected to use this knowledge in individual research projects on the nuclear weapons programs of individual countries. Case studies will include France, UK, China, India, Israel, Pakistan, North Korea, South Africa, Libya, Iraq, and Iran, among others. Please note any language skills in your application. Recommended: 1. 93 or 2. MS& E 1. 08. Senior Project. Units. Restricted to MS& E majors in their senior year. Students carry out a major project in groups of four, applying techniques and concepts learned in the major. Project work includes problem identification and definition, data collection and synthesis, modeling, development of feasible solutions, and presentation of results. Service Learning Course (certified by Haas Center). Satisfies the WIM requirement for MS& E majors. MS& E 1. 11. Introduction to Optimization. Units. Formulation and computational analysis of linear, quadratic, and other convex optimization problems. Applications in machine learning, operations, marketing, finance, and economics. Prerequisite: CME 1. MATH 5. 1. Same as: ENGR 6. MS& E 2. 11. MS& E 1. X. Introduction to Optimization (Accelerated). Units. Optimization theory and modeling. The role of prices, duality, optimality conditions, and algorithms in finding and recognizing solutions. Perspectives: problem formulation, analytical theory, computational methods, and recent applications in engineering, finance, and economics. Theories: finite dimensional derivatives, convexity, optimality, duality, and sensitivity. Methods: simplex and interior- point, gradient, Newton, and barrier. Prerequisite: CME 1. MATH 5. 1 or equivalent. Same as: ENGR 6. 2X, MS& E 2. XMS& E 1. 12. Mathematical Programming and Combinatorial Optimization. Units. Combinatorial and mathematical programming (integer and non- linear) techniques for optimization. Topics: linear program duality and LP solvers; integer programming; combinatorial optimization problems on networks including minimum spanning trees, shortest paths, and network flows; matching and assignment problems; dynamic programming; linear approximations to convex programs; NP- completeness. Hands- on exercises. Prerequisites: 1. MATH 1. 03, CS 1. A or X. Same as: MS& E 2. MS& E 1. 20. Probabilistic Analysis. Units. Concepts and tools for the analysis of problems under uncertainty, focusing on focusing on structuring, model building, and analysis. Examples from legal, social, medical, and physical problems. Topics include axioms of probability, probability trees, random variables, distributions, conditioning, expectation, change of variables, and limit theorems. Prerequisite: CME 1. MATH 5. 1. MS& E 1. Introduction to Stochastic Modeling. Units. Stochastic processes and models in operations research. Discrete and continuous time parameter Markov chains. Queuing theory, inventory theory, simulation. Prerequisite: 1. 20, 1. MS& E 1. 25. Introduction to Applied Statistics. Units. An increasing amount of data is now generated in a variety of disciplines, ranging from finance and economics, to the natural and social sciences. Making use of this information, however, requires both statistical tools and an understanding of how the substantive scientific questions should drive the analysis. In this hands- on course, we learn to explore and analyze real- world datasets. We cover techniques for summarizing and describing data, methods for statistical inference, and principles for effectively communicating results. Prerequisite: 1. 20, CS 1. A, or equivalents. MS& E 1. 30. Information Networks and Services. Units. Architecture of the Internet and performance engineering of computer systems and networks. Switching, routing and shortest path algorithms. Congestion management and queueing networks. Peer- to- peer networking. Wireless and mobile networking. Information service engineering and management. Search engines and recommendation systems. Reputation systems and social networking technologies. Security and trust. Information markets. Windows Xp Home Sp2 Clean Isolation . Select special topics and case studies. Prerequisites: 1. CS 1. 06. A. MS& E 1. Networks. 3 Units. This course provides an introduction to how networks underly our social, technological, and natural worlds, with an emphasis on developing intuitions for broadly applicable concepts in network analysis. The course will include: an introduction to graph theory and graph concepts; social networks; information networks; the aggregate behavior of markets and crowds; network dynamics; information diffusion; the implications of popular concepts such as "six degrees of separation", the "friendship paradox", and the "wisdom of crowds". MS& E 1. 40. Accounting for Managers and Entrepreneurs. Units. Non- majors and minors who have taken or are taking elementary accounting should not enroll. Introduction to accounting concepts and the operating characteristics of accounting systems. The principles of financial and cost accounting, design of accounting systems, techniques of analysis, and cost control. Interpretation and use of accounting information for decision making. Designed for the user of accounting information and not as an introduction to a professional accounting career. Enrollment limited. Admission by order of enrollment. Same as: MS& E 2. MS& E 1. 40. X. Financial Accounting Concepts and Analysis. Units. Introductory course in financial accounting.Accounting is referred to as the language of business.Developing students ability to read, understand, and use business financial statements. . Understanding the mapping between the underlying economic events and financial statements, and how this mapping can affect inferences about future firm profitability. Introduction to measuring and reporting of the operating cycle; the process of preparing and presenting primary financial statements; the judgment involved and discretion allowed in making accounting choices; the effects of accounting discretion on the quality of the (reported) financial information; and the fundamentals of financial statement analysis.
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