Online courses directory (19947)

15.769 Operations Strategy provides a unifying framework for analyzing strategic issues in manufacturing and service operations. Students analyze the relationships between manufacturing and service companies and their suppliers, customers, and competitors. The course covers strategic decisions in technology, facilities, vertical integration, human resources, and other areas, and also explores means of competition such as cost, quality, and innovativeness.

With no business model and a company that was barely solvent, Baidu CEO Robin Li quickly realized that his customer base

In this engaging and action-oriented course, you will explore and practice the concepts of innovation, creativity and entrepreneurship, and how these three concepts come together to create the future of the business world. You

Scott Kriens describes how Juniper was able to take advantage of the rapidly growing internet router space. He states th

This course concerns the theory and practice of optical methods in engineering and system design, with an emphasis on diffraction, statistical optics, holography, and imaging. It provides the engineering methodology skills necessary to incorporate optical components in systems serving diverse areas such as precision engineering and metrology, bio-imaging, and computing (sensors, data storage, communication in multi-processor systems). Experimental demonstrations and a design project are included.

Use Optical Flares to enhance your Nuke comps!

In this engineering course, you will learn about photodetectors, solar cells (photovoltaics), displays, light emitting diodes, lasers, optical fibers, optical communications, and photonic devices.

This course is part of a three-part series, which explains the basis of the electrical, optical, and magnetic properties of materials including semiconductors, metals, organics, and insulators. We will show how devices are built to take advantage of these properties. This is illustrated with a wide range of devices, placing a strong emphasis on new and emerging technologies.

Part 1 - 3.15.1x: Electronic Materials and Devices
Part 3 - 3.15.3x: Magnetic Materials and Devices

6.637 covers the fundamentals of optical signals and modern optical devices and systems from a practical point of view. Its goal is to help students develop a thorough understanding of the underlying physical principles such that device and system design and performance can be predicted, analyzed, and understood.

Most optical systems involve the use of one or more of the following: sources (e.g., lasers and light-emitting diodes), light modulation components (e.g., liquid-crystal light modulators), transmission media (e.g., free space or fibers), photodetectors (e.g., photodiodes, photomultiplier tubes), information storage devices (e.g., optical disk), processing systems (e.g., imaging and spatial filtering systems) and displays (LCOS microdisplays). These are the topics covered by this course.

This course provides an introduction to optical science with elementary engineering applications. Topics covered in geometrical optics include: ray-tracing, aberrations, lens design, apertures and stops, radiometry and photometry. Topics covered in wave optics include: basic electrodynamics, polarization, interference, wave-guiding, Fresnel and Fraunhofer diffraction, image formation, resolution, space-bandwidth product. Analytical and numerical tools used in optical design are emphasized. Graduate students are required to complete assignments with stronger analytical content, and an advanced design project.

Make smarter business decisions using this amazing Excel Tool.

Speed up your a/b tests by doing it right from the start.

This course introduces the principal algorithms for linear, network, discrete, nonlinear, dynamic optimization and optimal control. Emphasis is on methodology and the underlying mathematical structures. Topics include the simplex method, network flow methods, branch and bound and cutting plane methods for discrete optimization, optimality conditions for nonlinear optimization, interior point methods for convex optimization, Newton's method, heuristic methods, and dynamic programming and optimal control methods.

Optimization is the search for the best and most effective solution. In this mathematics course, we will examine optimization through a Business Analytics lens. You will be introduced to the to the theory, algorithms, and applications of optimization. Linear and integer programming will be taught both algebraically and geometrically, and then applied to problems involving data. Students will develop an understanding of algebraic formulations, and use Julia/JuMP for computation. Theoretical components of the course are made approachable, and require no formal background in linear algebra or calculus.

The recommended audience for this course is undergraduates, as well as professionals interested in using optimization software. The content in this course has applications in logistics, marketing, project management, finance, statistics and machine learning.

Most of the course material will be covered in lecture and recitation videos, and only an optional textbook, available at no cost, will be used.

Students interested in the material prior to deciding on course enrollment can visit the MIT Open Courseware version of 15.053 Spring 2013. The topics of the 2013 subject were optimization modeling, algorithms, and theory. As a six week subject, 15.053x covers about half of the material of the 2013 subject. The primary focus of 15.053x is optimization modeling.

This course introduces students to the theory, algorithms, and applications of optimization. The optimization methodologies include linear programming, network optimization, integer programming, and decision trees. Applications to logistics, manufacturing, transportation, marketing, project management, and finance. Includes a team project in which students select and solve a problem in practice.

Make better choices when placing your speakers and studio monitors - instantly improve your sound quality.

Optimizing Microsoft Windows Server storage is key to keeping pace with your organization’s ever increasing data needs. Once you have initially configured your Microsoft Windows Server storage you will want to take advantage of three key features: iSCSI Storage, Storage Spaces and Data Deduplication.

iSCSI is a protocol that supports remote access to SCSI-based storage devices over a TCP/IP network. It provides and easy to use alternative to Storage Area Networks (SANs) and can use existing infrastructure.

Storage Spaces lets you group physical disks together and present them as a single logical disk. This makes it easy to manage and dynamically allocate storage.

Data Deduplication is a service that identifies and removes duplications within data. The goal of Data Deduplication is to maximize the use of disk space.

This course follows INF201.21, Implementing Microsoft Windows Server Disks and Volumes but it is not required.

Go beyond simple storage strategies and take control of your organization’s storage needs!

Maximizing performance of your SQL based applications ranges from optimization of your database, to various tools and techniques for monitoring and tuning your environments. In this course you’ll learn techniques to run highly performant applications that use SQL Server.

This course is part of the Microsoft SQL Database Development XSeries.

Prof. Craig Vogel elaborates on various stages of new product development process through tangible case studies.

An accelerated path to wealth creation; Learn how to profit in up and down markets with this complete options blueprint.