Course in Engineering & Technology in USA

View Course Studies in Engineering & Technology in USA 2017

Engineering & Technology

Courses are academic classes taught by qualified instructors that are intended to enhance participant’s knowledge of a given area or training in a particular discipline. Courses vary broadly in terms of length, size, content and duration.

Bachelor’s in Engineering are concerned with the practical applications of the advancements in scientific, economic and social theories. It follows a process of observation, design, implementation and maintenance of solutions for all kinds of problems and issues. The discipline encompasses a great variety of fields and students are bound to find a degree they like.

The United States of America is a large country in North America, often referred to as the "USA", the "US", the "United States", "America", or simply "the States". American colleges are funded by "tuition" charged to the student, which is often quite expensive, very commonly reaching into the tens of thousands of dollars per year.

Top Courses in Engineering & Technology in USA 2017

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Course in Avionics Technician

Avionica
Campus Part time 3 months September 2017 USA Orlando

Avionica Orlando offers continuing professional training and licenses required by federal entities to exercise and practice the profession of avionics. We seek to bring together a representation of such group of professionals in Latin America. The aviation industry approaches our association seeking the avionics personnel trained by us to work in companies as certified and FCC licensed avionics technicians. [+]

Best Course Studies in Engineering & Technology in USA 2017. About the Program Avionica Orlando offers continuing professional training and licenses required by federal entities to exercise and practice the profession of avionics. We seek to bring together a representation of such group of professionals in Latin America. The aviation industry approaches our association seeking the avionics personnel trained by us to work in companies as certified and FCC licensed avionics technicians. The training that we offer is an on the job training (OJT) type of training, no theoretical, lasts 3 months (two days a week). Includes: Exams for the FCC licenses, certificates of training completion, we prepare and update our members resumes, assistance in job opportunities and a 1 year membership with our association. Training includes reviews and tests for 2 of the most important licenses of the Federal Communications Commission (FCC) and one-year membership of the Avionics Technicians Association, Inc. we also are the only Chief Examiner of the FCC in the State of Florida. This on the job training (OJT) will cover topics such as: Electronic Navigation Instruments and Communication Technical Education Aviation Safety Quality Control Human Factor anything related to newest aviation technology known as "New Generation" [-]

Course in Machine Learning (Intermediate)

Coursera
Online Part time 8 months Open Enrollment USA USA Online

This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. [+]

This Specialization provides a case-based introduction to the exciting, high-demand field of machine learning. You’ll learn to analyze large and complex datasets, build applications that can make predictions from data, and create systems that adapt and improve over time. In the final Capstone Project, you’ll apply your skills to solve an original, real-world problem through implementation of machine learning algorithms. Courses Machine Learning Foundations: A Case Study Approach Do you have data and wonder what it can tell you? Do you need a deeper understanding of the core ways in which machine learning can improve your business? Do you want to be able to converse with specialists about anything from regression and classification to deep learning and recommender systems? In this course, you will get hands-on experience with machine learning from a series of practical case-studies. At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images. Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. This first course treats the machine learning method as a black box. Using this abstraction, you will focus on understanding tasks of interest, matching these tasks to machine learning tools, and assessing the quality of the output. In subsequent courses, you will delve into the components of this black box by examining models and algorithms. Together, these pieces form the machine learning pipeline, which you will use in developing intelligent applications. Learning Outcomes: By the end of this course, you will be able to: - Identify potential applications of machine learning in practice. - Describe the core differences in analyses enabled by regression, classification, and clustering. - Select the appropriate machine learning task for a potential application. - Apply regression, classification, clustering, retrieval, recommender systems, and deep learning. - Represent your data as features to serve as input to machine learning models. - Assess the model quality in terms of relevant error metrics for each task. - Utilize a dataset to fit a model to analyze new data. - Build an end-to-end application that uses machine learning at its core. - Implement these techniques in Python. Machine Learning: Regression Case Study - Predicting Housing Prices In our first case study, predicting house prices, you will create models that predict a continuous value (price) from input features (square footage, number of bedrooms and bathrooms,...). This is just one of the many places where regression can be applied. Other applications range from predicting health outcomes in medicine, stock prices in finance, and power usage in high-performance computing, to analyzing which regulators are important for gene expression. In this course, you will explore regularized linear regression models for the task of prediction and feature selection. You will be able to handle very large sets of features and select between models of various complexity. You will also analyze the impact of aspects of your data -- such as outliers -- on your selected models and predictions. To fit these models, you will implement optimization algorithms that scale to large datasets. Learning Outcomes: By the end of this course, you will be able to: - Describe the input and output of a regression model. - Compare and contrast bias and variance when modeling data. - Estimate model parameters using optimization algorithms. - Tune parameters with cross validation. - Analyze the performance of the model. - Describe the notion of sparsity and how LASSO leads to sparse solutions. - Deploy methods to select between models. - Exploit the model to form predictions. - Build a regression model to predict prices using a housing dataset. - Implement these techniques in Python. Machine Learning: Classification Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank. These tasks are an examples of classification, one of the most widely used areas of machine learning, with a broad array of applications, including ad targeting, spam detection, medical diagnosis and image classification. In this course, you will create classifiers that provide state-of-the-art performance on a variety of tasks. You will become familiar with the most successful techniques, which are most widely used in practice, including logistic regression, decision trees and boosting. In addition, you will be able to design and implement the underlying algorithms that can learn these models at scale, using stochastic gradient ascent. You will implement these technique on real-world, large-scale machine learning tasks. You will also address significant tasks you will face in real-world applications of ML, including handling missing data and measuring precision and recall to evaluate a classifier. This course is hands-on, action-packed, and full of visualizations and illustrations of how these techniques will behave on real data. We've also included optional content in every module, covering advanced topics for those who want to go even deeper! Learning Objectives: By the end of this course, you will be able to: - Describe the input and output of a classification model. - Tackle both binary and multiclass classification problems. - Implement a logistic regression model for large-scale classification. - Create a non-linear model using decision trees. - Improve the performance of any model using boosting. - Scale your methods with stochastic gradient ascent. - Describe the underlying decision boundaries. - Build a classification model to predict sentiment in a product review dataset. - Analyze financial data to predict loan defaults. - Use techniques for handling missing data. - Evaluate your models using precision-recall metrics. - Implement these techniques in Python (or in the language of your choice, though Python is highly recommended). Machine Learning: Clustering & Retrieval Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you need to search through all other documents? How do you group similar documents together? How do you discover new, emerging topics that the documents cover? In this third case study, finding similar documents, you will examine similarity-based algorithms for retrieval. In this course, you will also examine structured representations for describing the documents in the corpus, including clustering and mixed membership models, such as latent Dirichlet allocation (LDA). You will implement expectation maximization (EM) to learn the document clusterings, and see how to scale the methods using MapReduce. Learning Outcomes: By the end of this course, you will be able to: - Create a document retrieval system using k-nearest neighbors. - Identify various similarity metrics for text data. - Reduce computations in k-nearest neighbor search by using KD-trees. - Produce approximate nearest neighbors using locality sensitive hashing. - Compare and contrast supervised and unsupervised learning tasks. - Cluster documents by topic using k-means. - Describe how to parallelize k-means using MapReduce. - Examine probabilistic clustering approaches using mixtures models. - Fit a mixture of Gaussian model using expectation maximization (EM). - Perform mixed membership modeling using latent Dirichlet allocation (LDA). - Describe the steps of a Gibbs sampler and how to use its output to draw inferences. - Compare and contrast initialization techniques for non-convex optimization objectives. - Implement these techniques in Python. Machine Learning: Recommender Systems & Dimensionality Reduction Case Study: Recommending Products How does Amazon recommend products you might be interested in purchasing? How does Netflix decide which movies or TV shows you might want to watch? What if you are a new user, should Netflix just recommend the most popular movies? Who might you form a new link with on Facebook or LinkedIn? These questions are endemic to most service-based industries, and underlie the notion of collaborative filtering and the recommender systems deployed to solve these problems. In this fourth case study, you will explore these ideas in the context of recommending products based on customer reviews. In this course, you will explore dimensionality reduction techniques for modeling high-dimensional data. In the case of recommender systems, your data is represented as user-product relationships, with potentially millions of users and hundred of thousands of products. You will implement matrix factorization and latent factor models for the task of predicting new user-product relationships. You will also use side information about products and users to improve predictions. Learning Outcomes: By the end of this course, you will be able to: - Create a collaborative filtering system. - Reduce dimensionality of data using SVD, PCA, and random projections. - Perform matrix factorization using coordinate descent. - Deploy latent factor models as a recommender system. - Handle the cold start problem using side information. - Examine a product recommendation application. - Implement these techniques in Python. Machine Learning Capstone: An Intelligent Application with Deep Learning Have you ever wondered how a product recommender is built? How you can infer the underlying sentiment from reviews? How you can extract information from images to find visually-similar products to recommend? How you construct an application that does all of these things in real time, and provides a front-end user experience? That’s what you will build in this course! Using what you’ve learned about machine learning thus far, you will build a general product recommender system that does much more than just find similar products You will combine images of products with product descriptions and their reviews to create a truly innovative intelligent application. You’ve probably heard that Deep Learning is making news across the world as one of the most promising techniques in machine learning, especially for analyzing image data. With every industry dedicating resources to unlock the deep learning potential, to be competitive, you will want to use these models in tasks such as image tagging, object recognition, speech recognition, and text analysis. In this capstone, you will build deep learning models using neural networks, explore what they are, what they do, and how. To remove the barrier introduced by designing, training, and tuning networks, and to be able to achieve high performance with less labeled data, you will also build deep learning classifiers tailored to your specific task using pre-trained models, which we call deep features. As a core piece of this capstone project, you will implement a deep learning model for image-based product recommendation. You will then combine this visual model with text descriptions of products and information from reviews to build an exciting, end-to-end intelligent application that provides a novel product discovery experience. You will then deploy it as a service, which you can share with your friends and potential employers. Learning Outcomes: By the end of this capstone, you will be able to: - Explore a dataset of products, reviews and images. - Build a product recommender. - Describe how a neural network model is represented and how it encodes non-linear features. - Combine different types of layers and activation functions to obtain better performance. - Use pretrained models, such as deep features, for new classification tasks. - Describe how these models can be applied in computer vision, text analytics and speech recognition. - Use visual features to find the products your users want. - Incorporate review sentiment into the recommendation. - Build an end-to-end application. - Deploy it as a service. - Implement these techniques in Python. [-]

Pre-engineering Track (course)

South Georgia State College
Campus Full time September 2017 USA Douglas

Students who complete this program are prepared to pursue the bachelor's degree in mathematics, engineering, or a related field at a senior college or university. [+]

Best Course Studies in Engineering & Technology in USA 2017. Students who complete this program are prepared to pursue the bachelor's degree in mathematics, engineering, or a related field at a senior college or university. Theoretical mathematicians develop new principles and new relationships between existing principles of mathematics. Applied mathematicians develop mathematical approaches to solve practical problems in business, government, engineering, and the sciences. Related career opportunities include education, actuarial science, operations research, and statistics. Academic advisement for this program is provided by the Division of Natural Sciences, Mathematics, and Physical Education. Students who complete this program are prepared to pursue the bachelor's degree in physics, engineering, or a related field at a senior college or university. Physicists use systematic observation and experimentation to investigate the structure of the universe and the interaction of matter and energy. Career opportunities include education, research, and product development. Engineers develop practical applications for scientific discoveries. Many career opportunities are found in subspecialties such as aerospace, chemical, civil, electrical, industrial, mechanical, mining, nuclear, and petroleum engineering. Academic advisement for this program is provided by the Division of Natural Sciences, Mathematics, and Physical Education [-]

Manufacturing Technology

College of du Page
Campus Full time September 2017 USA Glen Ellyn

The Manufacturing Technology degree option provides the student with a broad background in the areas of machining, drafting and fluid systems in order to prepare them for entry-level positions as machine operators, machine maintenance personnel and quality control personnel. The Manufacturing Engineering Technology degree option prepares students for entry-level engineering technician positions in manufacturing. [+]

Career Opportunities The Manufacturing Technology program provides training in a wide variety of skill areas of product manufacturing and services. The four degree options in the program are: Automated Manufacturing Systems Drafting and Design Manufacturing Technology Manufacturing Engineering Technology The Automated Manufacturing program option prepares the student for careers in computer-aided manufacturing, robotics and numerical control. The Drafting and Design degree option prepares the student for careers in the drafting and computer-aided design areas. The Manufacturing Technology degree option provides the student with a broad background in the areas of machining, drafting and fluid systems in order to prepare them for entry-level positions as machine operators, machine maintenance personnel and quality control personnel. The Manufacturing Engineering Technology degree option prepares students for entry-level engineering technician positions in manufacturing. The program also offers a mechanical drafting certificate that prepares students for entry-level mechanical drafting positions. Transfer opportunities for students wishing to complete a bachelor's degree are available. Degrees The Manufacturing Technology program provides training in a wide variety of skill areas of product manufacturing and services. Automated Manufacturing Systems Drafting/Design Manufacturing Technology Manufacturing Engineering Technology Certificates Manufacturing Skills Standards certificate Manufacturing Technology certificate Automated Manufacturing Systems certificate Drafting/Design certificate Computer-Aided Design certificate [-]

Summer Economics Courses in California

University of California, Irvine - Summer Session
Campus Full time 6 - 12 weeks June 2017 USA Irvine

UC Irvine combines the strengths of a large, dynamic research university with the friendly feel of a small college, and incredible bounty of an incomparable Southern California location. [+]

Best Course Studies in Engineering & Technology in USA 2017. Summer Economics Courses in California S1 ECON 13 Global Economy S1 ECON 15A Probability and Statistics in Economics I S1 ECON 15B Probability and Statistics in Economics II S1 ECON 25 The Economics of Accounting Decisions S1 ECON 100A Intermediate Economics I S1 ECON 100B Intermediate Economics II S1 ECON 100C Intermediate Economics III S1 ECON 122A Applied Econometrics I S1 ECON 122A Applied Econometrics II S1 ECON 132A Introduction to Financial Investments S1 ECON 134A Corporate Finance S1 ECON 149W Cultural Economics S1 ECON 161A Money and Banking S2 ECON 13 Global Economy S2 ECON 15A Probability and Statistics in Economics I S2 ECON 15B Probability and Statistics in Economics II S2 ECON 20A Basic Economics I S2 ECON 25 The Economics of Accounting Decisions S2 ECON 100A Intermediate Economics I S2 ECON 100B Intermediate Economics II S2 ECON 100C Intermediate Economics III S2 ECON 116A Game Theory I S2 ECON 122A Applied Econometrics I S2 ECON 122B Applied Econometrics II S2 ECON 135 Mathematics of Finance S2 ECON 140 Managerial Economics S2 ECON 157 Economic Development S2 ECON 167 International Trade and Commercial Policy UC Irvine combines the strengths of a large, dynamic research university with the friendly feel of a small college, and incredible bounty of an incomparable Southern California location. Why Study at UCI? Summer Session offers over 800 courses in 70 academic disciplines. Students will take courses led by world renowned faculty amongst domestic UCI undergraduates. As a visiting student, you have the option to choose courses that will help you fulfill degree requirements at your home university or courses just for interest. This is your summer to grow academically. Students are encouraged to meet with professors and strike up a conversation – some students have been offered opportunities to assist in research on campus. Furthermore, there are plenty of academic resources available on campus to help you with your learning needs such as peer tutors, 5 expansive research libraries, and 6 computer labs with over 400 PCs and Macs. Step-by-Step Application Process Apply to UCI Summer Session online or by downloading the paper application summer.uci.edu/international Our team reviews and processes your application UCI Summer Session sends your acceptance letter and I-20 Complete Housing Contract Use your I-20 to apply for a visa Interview for an F-1 student visa UCI Summer Session sends you Pre-Departure Materials Purchase your flights Depart for California! Estimated Costs* Expenses vary with the length of your stay. This chart represents the estimated cost of taking two courses (4 units each) during one of the Summer Sessions (six weeks). *Prices are in U.S. dollars and are subject to change. REQUIRED FEES Enrolment Fee: $750 Campus Fee: $265 Course Fee ($339 per unit): $2736 Housing: $1225 Approximate Cost: $4976 Visa Support International (non-immigrant) students coming from abroad are required to have valid visas to enter the U.S. Most international students enrolling in Summer Session will obtain an F-1 student visa. UCI Summer Session, in collaboration with UCI Extension, will issue the documentation necessary to obtain an F-1 student visa. Once you have arrived, immigration advisors will be available to assist with travel, medical issues, or any questions regarding your legal status in the U.S. After completing your courses, you can obtain an official UCI transcript as proof of your academic participation. This transcript can be added to your Resume/CV or used for future applications to graduate schools in the U.S. or internationally. [-]

Computerized Office Management

Hamilton College
Campus Full time 10 months September 2017 USA Los Angeles

Students will learn computer office management through the use of the computers and various programs, develop leadership skills, and personnel management. Our objective is for each student to develop leadership skills, and program use. [+]

Computerized Office Management

 

Students will learn computer office management through the use of the computers and various programs, develop leadership skills, and personnel management. Our objective is for each student to develop leadership skills, and program use.

 

Employment Outlook: Administrative, Coordinator, Office Manager, Marketing, Supervisor, General Office, marketing, Human Resources Department, and much more.

 

Additional Information: Students obtain an M-1 visa by enrolling into this program.

 

Program:

Monday – Friday (Except Holidays) 2pm-6pm 10 month program Certification Course

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Engineering Pre-Majors Science & Math Division

The Seattle Colleges
Campus Full time September 2017 USA Seattle

The courses listed below generally meet requirements for the first and second years of study toward completion of a four-year engineering program, but may not constitute a complete two-year program leading to junior standing. [+]

Best Course Studies in Engineering & Technology in USA 2017. The courses listed below generally meet requirements for the first and second years of study toward completion of a four-year engineering program, but may not constitute a complete two-year program leading to junior standing. Students who anticipate transferring to a specific school should consult with a counselor for assistance in course selection. Suggested Courses Chemistry: CHEM& 161, 162, 163 (some majors require only 8 credits) Engineering: ENGR& 111; ENGR 142, 161, 170, 171; ENGR& 214, 204, 225, 215, 224 English: ENGL 106; ENGL& 230 Math: MATH& 151, 152, 153; MATH 220, 238 Physics: PHYS& 221, 222, 223 Other Requirements Credits in general education, English and liberal studies as required for an A.A. or A.S. degree. See pages 7-9, 59 for A.A. and A.S. degree requirements [-]

Ableton Live Course

Recording Connection Audio School
Campus Full time September 2017 USA Los Angeles

A thorough working knowledge of Ableton Live is essential if you're planning to be an electronic musician or club DJ. With its combination of powerful on-board virtual instruments, powerful arrangement tools and live-performance capabilities, Ableton is uniquely suited to the needs of today's electronic musician. [+]

TRAINING IN ABLETON LIVE: AVAILABLE IN ALL 50 STATES AND CANADA. Since 1989, the Recording Connection has placed more than 11,000 students as working apprentices (externs) in actual recording studios throughout the United States, as well as in Canada, Australia and the U.K. Our students are mentored by professional audio engineers and music producers, including many who have worked on Grammy-winning, Platinum-selling projects by some of the biggest names in the business. Every Recording Connection mentor is screened carefully to make sure they have the proven experience and knowledge to to help our students get their careers off the ground. About our Ableton Live Course Curriculum A thorough working knowledge of Ableton Live is essential if you're planning to be an electronic musician or club DJ. With its combination of powerful on-board virtual instruments, powerful arrangement tools and live-performance capabilities, Ableton is uniquely suited to the needs of today's electronic musician. When used with the right controller, Ableton is capable of being the only instrument you need for designing, recording and performing your mixes. As a digital audio workstation (DAW), Ableton Live functions much like the others, offering you the ability to record, mix and master your tracks in a virtual production environment with industry standard audio and MIDI processing. But unlike other DAWs, Ableton also provides a powerful, massive sound and loop library, along with a set of amazing features that enable you to mix, edit and beat match in real time. With up to 4000 loops, nearly 400 drum kits, three samplers, five synths and more, Ableton Live contains just about everything you need to create a world-class mix right there in the box. But there's more: Ableton also features a powerful “Session View” window which gives you unprecedented real-time control of your mixes, enabling you to add, remove, start, and stop any or all the loops in your mix while your tracks remain in perfect sync. With all this improvisational and real-time performance ability at your fingertips, it's little wonder that Ableton is the DAW of choice for DJs and live performers. If this is your dream, the Recording Connection can pair you with a mentor who specializes in electronic music and can teach you one-on-one about the ins and outs of Ableton Live. Whether your interests are in EDM, techno, house, trance or some other form of electronic music, you'll receive hands-on instruction on the power of this important software until it becomes second nature to you. Ableton Live 101 - Module One LESSON 1: GETTING STARTED LESSON 2: CORE CONCEPTS LESSON 3: AUDIO CLIPS IN DETAIL LESSON 4: RECORDING & EDITING MIDI LESSON 5: LIVE MIXER & SIGNAL FLOW LESSON 6: COMPLETION 101 Midi and Music - Module Two LESSON 1: THE RHYTHM SECTION LESSON 2: MELODY LESSON 3: HARMONY LESSON 4: COMPOSITION & INSTRUMENTATION LESSON 5: FROM SESSION TO ARRANGEMENT LESSON 6: FINALIZING COMPOSITIONS Sound Design - Module three LESSON 1: AUDIO PROCESSING LESSON 2: SUBTRACTIVE SYNTHESIS LESSON 3: OPERATOR AND AAS INSTRUMENTS LESSON 4: RECORDING AUDIO FOR SOUND DESIGN LESSON 5: SAMPLING LESSON 6: IMPULSE AND DRUM RACKS Projection Completion I - Module four LESSON 1: SOUND & HEARING LESSON 2: AUDIO RECORDING 201 LESSON 3: ARRANGEMENT VIEW RECORDING WORKFLOWS LESSON 4: EDITING 201 LESSON 5: FINISHING TRACKS LESSON 6: MIX 101 LESSON 7: EXPORT & FAUX MASTERING Ableton Skillz - Module five LESSON 1: ADVANCED TECHNIQUES LESSON 2: MAX FOR LIVE LESSON 3: EXPERT TIPS AND INTERMEDIATE AUDIO FX LESSON 4: INSTRUMENT AND EFFECT RACKS LESSON 5: DRUM RACKS, SLICE AND CONVERT LESSON 6: LIVE WITH LIVE Projection Completion II - Module six LESSON 1: EMP/EDM Arranging II – Part I LESSON 2: EMP/EDM Arranging II – Part II LESSON 3: Advanced Vocals LESSON 4: Mix 201 LESSON 5: Mix 202 LESSON 6: Mastering 201 [-]

Course: Pre-Engineering

Park University
Campus Full time September 2017 USA Parkville

The suggested curriculum for Pre-Engineering incorporates essential coursework in Mathematics, Physics and Chemistry to provide a solid foundation in the core areas required for any Engineering specialty. [+]

Best Course Studies in Engineering & Technology in USA 2017. As part of our commitment to supporting the academic aspirations of all our students, Park offers a Pre-Engineering course plan for students who are interested in pursuing a degree in Engineering at another institution following completion of their studies at Park. The suggested curriculum for Pre-Engineering incorporates essential coursework in Mathematics, Physics and Chemistry to provide a solid foundation in the core areas required for any Engineering specialty. By combining this Pre-Engineering curriculum with your general education requirements, you stay on track toward earning an Engineering degree while benefiting from the highly respected Liberal Arts education offered at Park University. [-]

Executive Program in Information Technology: Strategies and Solutions

University of Chicago Booth School of Business
Campus Part time 3 days September 2017 USA Chicago

Through this program, executives will learn technology buzzwords, the technology that is available today, and where that technology is headed. [+]

Developing sustainable business models that effectively use technology to further operational improvements, vendor procurements, and customer relationships is critical in staying competitive in today’s business environment. Technology coupled with strategic planning and proven industry best practices yields unbounded rewards for those organizations who dare to challenge the status quo. This course will provide senior executives and upper management with the technical foundation, strategies, and solutions to effectively plan, implement, and sponsor information technology initiatives.

 

The course is composed of sessions which consist of technical deep-dives accompanied with practical, technical application scenarios. Through this program, executives and management will learn information technology concepts, real-world applications, technology trends, and the use of technology as a competitive lever. Executives and management members will be grounded with enough technical competence to effectively communicate with their CIO, CTO, Technology Managers, Software Developers, and IT consultants. This course will allay any fears one has about engaging in any information technology discussion and will allow one to quickly ascertain the technologies involved, the challenges the organization faces, and the appropriate course of actions to take. ... [-]


Driving Strategic Value from IT

Kellogg School of Management at Northwestern University
Campus Part time 3 days September 2017 USA Evanston

This three-day, highly interactive program is an intense immersion in IT executive management and decision-making best practices. Through lectures and group case discussion of real business problems, this program gives managers state-of-the-art tools to make informed IT management decisions [+]

Best Course Studies in Engineering & Technology in USA 2017.

Unlock the value of your IT investments and achieve improved business results by synchronizing your IT strategy with your business strategy. Deliver on the power of IT to build deeper relationships with customers, collaborate more effectively with partners, and maximize business productivity.

 

This three-day, highly interactive program is an intense immersion in IT executive management and decision-making best practices. Through lectures and group case discussion of real business problems, this program gives managers state-of-the-art tools to make informed IT management decisions.

 

This program is unique in that cross-functional teams, comprising senior IT executives as well as senior business executives, are encouraged to attend, providing opportunities for collaboration and exchange of ideas between executive teams of different companies.... [-]


Major Appliances / Basic Electricity Course

Bay State School Of Technology
Campus Full time September 2017 USA Canton

Every household, every business, and just about every building in the world has some major appliances in use. Clothes Washers, Dish Washers, Clothes Dryers, Refrigerators, Microwave Ovens, Stoves and disposals are some of the more common ones. [+]

Major Appliances / Basic Electricity Course Every household, every business, and just about every building in the world has some major appliances in use. Clothes Washers, Dish Washers, Clothes Dryers, Refrigerators, Microwave Ovens, Stoves and disposals are some of the more common ones. They break down occasionally and need to be repaired. Is there anyone you know who doesn’t own some kind of Major Appliance? Major Appliance technicians need to have the skills necessary to successfully service these machines, such as learning to diagnose and troubleshoot. Students enrolled in The Major Appliance Program at Bay State are learning these skills by working on the actual pieces of equipment in the lab workshops. For almost 30 years, Bay State’s “Hands-On” training has worked for thousands of students. Half of the students’ time in school is in the classroom learning the theory of how the appliances work and the other half is spent in the workshops gaining hands on experience. An important component of the course is the training on Electricity and Electronics. The ability to understand how electricity works, and the skills needed to read a wiring diagram or schematic is an essential part of the diagnostic process. In addition, each student receives up-to-date training on the electronic controls that manage each and every Major Appliance. New students receive a laptop computer and training on how to use it as a learning tool. The cost of the laptop is included in the tuition and the student will own it at the end of his program. In addition, all students will receive preparation and training to take a National Service Certification test, offered by the Professional Service Association (PSA). Bay State Tech is one of only four schools in the United States designated as a certified training and testing center by PSA. Graduates of the Major Appliances/Basic Electricity Program are prepared to enter the work force as entry level technicians. Some begin their careers with major servicing organizations such as General Electric or Sears while others join smaller independent local companies. The pay is good and the work is steady. A number of graduates start up their own business after working in the field for a few years, gaining the experience of working on the large variety of makes and models, while learning how a repair business functions. Bay State graduates are well received by employers who often come to the school to recruit graduates. The school’s placement office provides job search assistance including resume preparation. [-]

Strategic Uses of Information Technology

Stanford Graduate School of Business
Campus Part time 6 days April 2017 USA Stanford

In this program, CIOs, CTOs, and senior general managers learn to identify, assess, and communicate the strategic competitive advantages enabled by information technology. [+]

Recent developments in information technology have transformed the way organizations conduct business. Today, companies are slashing costs using real-time electronic communications, improving customer intimacy by leveraging the Internet, and taking advantage of new business models such as distributed auctions and trading hubs. Yet many senior leaders lack the tools to assess and communicate the business impact that information technology can bring to their organization.In this program, CIOs, CTOs, and senior general managers learn to identify, assess, and communicate the strategic competitive advantages enabled by information technology.Content OverviewStrategic Uses of Information Technology takes a strategic, business-focused approach to information technology. The curriculum is non-technical and emphasizes frameworks for maximizing the value of an organization’s existing information technology assets, as well as using information systems to reshape organizational strategy and culture. Recent case studies explore the best practices of top global companies that excel at creating value through information systems. Taking advantage of Stanford’s position as the leading business school in Silicon Valley, the program also integrates into its curriculum a variety of industry guest speakers from innovative, market-leading technology companies.Key Takeaways: - Frameworks for identifying the business value and strategic impact of information systems - New methods for integrating information technology into the structure and culture of an organization - Best practices and business models that leverage Internet, wireless, and networking technologies ... [-]


Course in E-Business Information and Knowledge Systems

National University, School of Business and Management
Campus or Online Full time September 2017 USA La Jolla Los Angeles Orange Camarillo San Bernardino South Bay Terraces Redding Henderson USA Online San Diego + 9 more

The course introduces the data-information-knowledge-intelligence chain and its relevance to E-Business profitability and growth. [+]

The course introduces the data-information-knowledge-intelligence chain and its relevance to E-Business profitability and growth. It includes a study of the role and deployment of data models, database systems, data warehouses and business intelligence.

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Project Management in Information Technology

University of Management and Technology
Campus Part time 1 day September 2017 USA Arlington

To provide participants with knowledge and skills that will enable them to succeed in information technology (IT) projects management areas such as hardware, software, systems integration, and human resources. [+]

This course covers management areas such as hardware, software, systems integration, and human resources.ObjectivesTo provide participants with knowledge and skills that will enable them to succeed in information technology (IT) projects management areas such as hardware, software, systems integration, and human resources.

PMBOK Knowledge Areas - Integration Management - Scope Management - Quality Management - Time Management - Cost Management - Risk Management - Human Resources Management - Procurement Management - Communications Management Topics Covered- What is a project? - What is project management? - System development lifecycle (SDLC) - Approaches to implementing IT projects - Implementing the Capability Maturity Model (CMM) - Factors for IT project success - Gathering and analyzing requirements - Converting business requirements into technical requirements - Staffing project teams: in-sourcing and outsourcing - Structuring the IT team - Developing a project plan - Creating and using the work breakdown structure (WBS) - Using different estimating methods (e.g., COCOMO, function point analysis) - Scheduling techniques (including Rapid Application - Development and time-boxed scheduling) - Budgeting techniques (including cost estimating) - Resources allocation techniques - Software Quality Assurance (SQA) - Progress reporting - Schedule, resource and cost tracking - Change control (e.g., software configuration management) - Measuring work performance - Project closeout (customer acceptance testing) - Systems integration testing - Post-implementation review Course LengthThis course comes in varying lengths depending upon the needs of your organization. Project Management Professionals (PMPs) are eligible to earn Professional Development Units (PDUs) for taking this course.... [-]