Online courses directory (10358)

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.

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.

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.

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.

Introduction à l'optique non-linéaire, qui correspond au régime d'interaction laser-matière que l'on peut explorer à l'aide de lasers intenses, comme par exemple les lasers femtosecondes.

Oracle SQL Developer aracını öğrenebileceğiniz kurs. Professional e-Learning : www.dijibil.com

A second-year intermediate course that includes vocabulary enhancement and limited review of selected points of grammar. Focuses on listening comprehension and speaking, with group activities, discussions and individual oral reports based on readings, films, music and art.

A second-year intermediate course that includes vocabulary enhancement and limited review of selected points of grammar. Focuses on listening comprehension and speaking, with group activities, discussions and individual oral reports based on readings, films, music and art.

This course focuses on developing oral presentation skills through practice, self-evaluation, and in-class feedback. Topics include slide preparation, answering difficult questions, explaining technical details and presenting to a general audience.

Learn the fundamentals of Orchard CMS

This course is part of the Microsoft Professional Program Certificate in Big Data. 

Need to schedule and manage big data workflows?

This data analysis course teaches you how to use Azure Data Factory to coordinate data movement and transformation using technologies such as Hadoop, SQL, and Azure Data Lake Analytics. You will learn how to create data pipelines that will allow you to group activities to perform a certain task.

Note: To complete this course, you will need a Microsoft Azure subscription. You can sign up for a free trial subscription at http://azure.microsoft.com, or you can use your existing subscription. The labs have been designed to minimize the resource costs required to complete the hands-on activities.

This course covers principles of materials chemistry common to organic materials ranging from biological polypeptides to engineered block copolymers. Topics include molecular structure, polymer synthesis reactions, protein-protein interactions, multifunctional organic materials including polymeric nanoreactors, conducting polymers and virus-mediated biomineralization.