Course in Engineering & Technology

Top Course Studies in Engineering & Technology

Engineering & Technology

There are many courses in Engineering and Technology located at excellent academic institutions throughout the world. Those seeking courses in Engineering and Technology often come from many sectors and industries, such as information technology companies, engineering firms, private and public conglomerates and more recently, television and media has seen an increased number of professionals with engineering and technology experience.

Courses in Engineering and Technology may be studied online or in a classroom, individually or in conjunction with degree programs. There are a variety of programs and courses options, such as Programming, Mathematics, Physics, Networking, and Engineering Principles and Theories. Other specific themes may cover artificial intelligence, automated systems, and various other areas according to the needs of the individual.

If you are interested in courses in Engineering and Technology, then take a look through the program options below to learn more. You can also narrow your search using the search boxes. Take the next step toward your personal and professional goals with courses in Engineering and Technology!

Read More

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 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 Cgi (computer Generated Imaginery)

GrisArt Escuela Superior de Fotografía
Campus Part time 7 months October 2017 Spain Barcelona

Thanks to new technologies, creating photographic practice and live an exciting time, with constant innovations and new horizons, forcing photographers to continuous learning. [+]

Thanks to new technologies, creating photographic practice and live an exciting time, with constant innovations and new horizons, forcing photographers to continuous learning. In some fields, such as in automotive advertising, architecture and interior design, the change is already in place and the ultra-realistic images that come to us are in most cases computer-generated drawings from designers, engineers and architects . Are familiar CGI images, both stills and motion, applied in film and television. This revolution, which the authors define only limit, currently shaping the advertising world. Their use, though not applicable in all fields, continues to be increasingly necessary, as a generator of new images or as an integrator of these photographic CGI in real environments. The course offered by CGI GrisArt taps into the vast possibility of creating 3D images, but does so in a selective manner, with the needs and skills of photographers. They discover the most direct link between this technology and conventional photography, and compatibility and possibilities. To this end, those strictly useful aspects develop, for example, the camera layout and perspective, lighting, texturing or rendering the output image. The application will be used MAXON Cinema 4D program, unlike other equivalent applications is characterized by friendliness and ease of use of its interface. The high degree of quality offering the latest versions of the Advanced Render (C4D render engine itself) program makes it a very attractive tool for professional willing to venture into this field. Furthermore, knowing the market needs, the course incorporates learning process of working with V-RAY, one of the best existing render engines. The focus of the course is very practical, so that students become familiar with solving exercises to deepen their understanding and management while they are trained to develop their own intuition.... [-]


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. [+]

Best Course Studies in Engineering & Technology 2017. 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. [-]

INTERNATIONAL WINTER SCHOOL : IOT

EPITECH
Campus Full time 2 weeks February 2017 France Paris

From January 23 to February 3, 2017 Week 1: Embedded programming and prototyping Week 2: Project Ideation and Bootstrap [+]

International Winter school: IOT From January 23rd to February 3rd, 2017 WEEK 1: Embedded programming and prototyping January 23rd to 29th, 2017 2 days of embedded programming courses and 2 days of lab work on how to prototype basic projects. Students will interact with IOT prototyping devices, 3D printing and learn how to use different components for their projects (motion sensors, camera, wifi, Bluetooth, NFC, etc…). 1 day of Ideation / off campus activity WEEK 2: Project Ideation and Bootstrap January 30th to February 3rd, 2017 With the help of the Epitech Innovation Hub, IOT professionals and Epitech instructors, students will have to challenge themselves and make a working prototype of the connected object of their choice! Previous year projects include autonomous plant watering systems, an automatic barman, an automatic remote controlled car, and many more ! Several cultural activities and company visits will be included in the program. Below are some examples: - French language and culture - Visit of Eiffel Tower - Visit of Palace of Versailles - Visit to start-ups and accelerators - Disneyland This list is tentative. The final list of activities will be communicated to the students upon their arrival. ADMISSION REQUIREMENTS Two years of higher education in IT/computer science or 3 years of higher education in other technical fields. APPLICATION DEADLINE: December 30, 2016 PROGRAM FEE: 1 400€ Program fees include tuition fees, extra-curricular activities, accommodation, lunches and metro pass. [-]

Superior Web Analytics Program

Spain Business School
Online & Campus Combined 6 months January 2017 Spain Madrid

all people who want to know how users behave through their websites and other devices are addressed: what sections they visit more ?, who share content, who will make a purchase, but regrets at the last moment?... and to optimize their sites. [+]

Best Course Studies in Engineering & Technology 2017. Who should attend: all people who want to know how users behave through their websites and other devices are addressed: what sections they visit more ?, who share content, who will make a purchase, but regrets at the last moment?... and to optimize their sites. Objectives: Learning how to measure the results of sales, conversions ... Knowing how to analyze the behaviors that users are on the web. Mastering social media analytics. Learning to achieve a better user experience. Customer loyalty. agenda: MODULE 1 - Technological Environment and Legal MODULE 2 - Introduction to analytic MODULE 3 - Objectives and strategies of a website MODULE 4 - Google Analytics I MODULE 5 - Google Analytics II MODULE 6 - Social Media Analytics MODULE 7 - Analytics in E-Commerce MODULE 8 - Analytics Adobe / Omniture MODULE 9 - Excel for Analysts MODULE 10 - Communication address MODULE 11 END OF PROGRAM. Always accompanied by your expert, your project tutor and the head teacher. Additional Information: Those students who wish have the possibility of internships in major companies. This training can be funded by the Tripartite Foundation. You can fund the program in installments, without interest. The syllabi are designed and taught by recognized professionals in the field. outstanding teachers Matias Ezequiel - Experienced Senior Consultant at Deloitte Digital. Andrés Menchero - Data & Analytics at BMind Sales Consultant Maker Company SL Alex Gibelalde - Founder at Boostit - Digital Advising. Gorka Goikoetxea - SEO, SEM and digital analytics in Aukera. Paco García Bravo - Digital & Ecommerce Director Lékué-Lecturer. Oscar Rodriguez - Independent consultant in Marketing and Digital Analytics in IDAnalitica.com [-]

Top Grade Training Cycle In Web Application Development

IED – Istituto Europeo di Design Madrid
Campus Full time 2 years October 2017 Spain Madrid

The Higher Level Training Course in Web Application Development, specializing in Digital Design and User Experience, you way to become a programmer with advanced knowledge in digital design, one of the most demanded market profiles. [+]

THIS PROGRAM IS IN SPANISH Taught Like program and want to make it your profession? The Higher Level Training Course in Web Application Development, specialist in Digital Design and User Experience, You how to become a programmer with advanced knowledge in digital design, one of the most demanded market profiles. Develop your communication and creative skills and learn, through specific technologies and development environments, to develop and improve applications for all operating systems and mobile platforms. You will board concepts like usability and user experience while digging into the digital design and information systems, generating technological solutions for all platforms. Aimed at young people who want to guide their professional work in the field of programming and software development in the field of creative industries. IED Madrid, as Superior Design Center complements technical education with specific training in digital design, creating professionals with a double profile. Why study this course? We train programmers specialized in digital design, so that you are able to cope with autonomy the development of specific visual components for any software development. We have a laboratory equipped with the latest technologies for programming in multiplatform environments. We rely on a theoretical and practical training and the development of real projects with companies as a learning opportunity. Opt for a blended learning through our teaching, a balance between qualified and recognized professionals active hallmark of the specific methodology taught at the IED Madrid. Study IED Madrid means living with all branches of design in a privileged space, a creative experience and a unique opportunity to offer our students. Career Outlook: Software development in the field of creative industries. Implementation of specific visual components for software development. Developer of multimedia applications, games and applications adapted for mobile devices. Creator of graphics and multimedia components for integration into various applications content. Manager and database administrator. LANGUAGE COURSE: SPANISH [-]

Information Security Management

Fanshawe College
Campus or Online Full time 1 year September 2017 Canada London

Information Security Management is a graduate program designed to provide students with a holistic approach to information systems security as it applies to business. [+]

Best Course Studies in Engineering & Technology 2017. Information Security Management Offered as an online distance education program and in a face-to-face classroom format * Secure your future in the fastest-growing sector! Information Security Management is a graduate program designed to provide students with a holistic approach to information systems security as it applies to business. The program will provide a broad understanding of security concepts and concentrate on industry best practices for information security. You will gain the knowledge required to manage both the strategic and operational aspects of information security, and develop the skills to identify vulnerabilities to business implementing effective safeguards to minimize risks to acceptable levels. During the year, you will learn detailed practical aspects of security such as risk analysis, vulnerability testing, writing security policies, implementing access controls, and performing security audits. Graduates would obtain positions such as security analysts, chief security officer, information security auditor, network security analyst, IT technical security specialist, and threat-risk/vulnerability security specialist. * Classes are delivered online and face-to-face on campus. Full-time or part-time students have the option to watch live and interactive webcasts or attend classes face-to-face on campus. All webcasts will be recorded and archived so you can review material and learn at your own pace. Students will require access to a computer and the Internet, preferably high-speed if attending online, and students will require a suitable laptop if attending face-to-face classes. Academic School: Information Technology Campus: London Campus (LC) Program Delivery: Day Time, Full Time, Online Program Type: Certificate, Graduate Available to International Students?: Yes Admission Requirements A Two- or Three-Year College Diploma, or a Degree OR Acceptable combination of related work experience and post-secondary education as judged by the College to be equivalent to the above English Language Requirements Applicants whose first language is not English will be required to demonstrate proficiency in English by one of the following methods: A Grade 12 College Stream or University Stream English credit from an Ontario Secondary School, or equivalent, depending on the program's Admission Requirements Test of English as a Foreign Language (TOEFL) test with a minimum score of 570 for the paper-based test (PBT), or 88 for the Internet-based test (iBT), with test results within the last two years International English Language Testing System (IELTS) test with an overall score of 6.5 with no score less than 6.0 in any of the four bands, with test results within the last two years Canadian Academic English Language (CAEL) test with an overall score of 70 with no score less than 60 in any of the four bands, with test results within the last two years An English Language Evaluation (ELE) at Fanshawe College with a minimum score of 75% in all sections of the test, with test results within the last two years Recommended Academic Preparation Previous business or IT post-secondary education and/or training and/or work experience. Applicant Selection Criteria Where the number of eligible applicants exceeds the available spaces in the program, the Applicant Selection Criteria will be: Preference for Permanent Residents of Ontario Receipt of Application by February 1st (After this date, Fanshawe College will consider applicants on a first-come, first-served basis until the program is full) Achievement in the Admission Requirements Other Information Classes are delivered online and face-to-face on campus. Full-time and part-time students have the option to watch live and interactive webcasts or attend classes face-to-face on campus for most courses. All webcasts will be recorded and archived so students can review material and learn at their own pace. Students will require access to a computer and the Internet, preferably high-speed if attending online, and students will require a suitable laptop as per specs if attending in face-to-face classes. Approximate Costs A laptop computer is to be purchased by the student attending the face-to-face classroom format. A laptop or computer with microphone, speaker and internet connection is required for the student attending online. The cost of the equipment is included in the General Expenses stated in the Fee Schedule. A CONNECT lab fee of $75.00 per academic term is included in the Additional Program Fees stated in the Fee Schedule. This fee helps cover costs associated with the delivery of the CONNECT mobile computing program. The CONNECT lab fee is OSAP eligible. Students should not purchase a laptop computer or software until the College publishes the recommended configuration, models, software titles and versions for that academic year. Career Opportunities This program will prepare graduates to take advantage of the growing opportunities in the information security field. Graduates will be an asset to any information technology support department or specifically as part of a security team, in virtually all sectors of business. Subsequently, with the right experience base, graduates can expect to find opportunities as security analysts and consultants, or in security management roles. They would obtain positions such as security analysts, information security auditor, network security analyst, IT technical security specialist, and threat-risk/vulnerability security specialist. [-]

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 [-]

Land Markets and Informal Settlement Regularisation (LMISR)

IHS, Institute For Housing and Urban Development Studies of Erasmus University Rotterdam
Campus Part time 1 month July 2017 Netherlands Rotterdam

Land Management and Informal Settlement Regularisation - A joint programme of IHS and the Lincoln Institute of Land Policy, Cambridge, MA, USA ... [+]

Introduction

The course will enable you to understand the underlying causes of informal occupation of land and slum formation, to acquire knowledge and skills to develop upgrading strategies to improve slums, and to formulate policies that create options to prevent new slum formation.

The course is intensive in nature and innovative, demanding a proactive attitude from participants. They are engaged in a number of specially designed learning environments that comprise lectures, practical exercises, case study analysis, role-playing games, video films discussions and controversial policy debates. The course draws from lessons learned through international experience and stimulates creative thinking as participants are exposed to contexts from a wide variety of countries.... [-]


Aviation Technician - Aircraft Maintenance

Confederation College
Campus Full time 2 years September 2017 Canada Thunder Bay

The School of Aviation at Confederation College has a well-established Aviation Technician - Aircraft Maintenance program designed and developed in consultation with Industry and Transport Canada [+]

Aviation Technician - Aircraft Maintenance The School of Aviation at Confederation College has a well-established Aviation Technician - Aircraft Maintenance program designed and developed in consultation with Industry and Transport Canada. This program will provide you with the advanced knowledge and skills necessary to develop into a competent and reliable Aircraft Maintenance Engineer. Aircraft Maintenance is a well-established area of aviation technology with continuing requirements for entry level personnel. High on the priority list are Aircraft Maintenance Engineers as Industry Canada predicts a shortage of qualified aviation personnel in the near future. Future graduation levels must rise to meet future industry employment demands. The program is two years in duration and combines a mixture of theory and practical application. Airframe, engine and electrical courses are taught concurrently; approximately 50% of the time is devoted to practical and 50% to theory. Accreditation: The program is accredited by Transport Canada. Graduates having an attendance record greater than 95% are given 18 months credit, determined by Transport Canada, towards the experience requirements for an Aircraft Maintenance Engineer’s Category "M" license. [-]

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 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. [-]

Electronic Music Production

Centre for Arts and Technology
Campus Full time 12 months July 2017 Canada Kelowna

Love to create or produce your own music? Our 12 month Electronic Music Production program is offered as an accelerated skill driven training opportunity through our Audio Engineering department in Kelowna, BC. It was designed for anyone interested in an audio and music production career. LIMITED NUMBER OF SCHOLARSHIPS AVAILABLE FOR UPTO $3000 ON A FIRST COME FIRST SERVE BASIS. APPLY TODAY. [+]

LIMITED NUMBER OF SCHOLARSHIPS AVAILABLE FOR UPTO $3000 ON A FIRST COME FIRST SERVE BASIS. APPLY TODAY.

Love to create or produce your own music? Our 12 month Electronic Music Production program is offered as an accelerated skill driven training opportunity through our Audio Engineering department in Kelowna, BC. It was designed for anyone interested in an audio and music production career that has special interest in digital music production, recording, mixing and arranging.

AUDIO ENGINEERING COLLEGE KELOWNA – ELECTRONIC MUSIC PRODUCTION

Because of recent developments in specialized audio software, music production is no longer limited to those who work in advanced recording studios. Many digital music producers work out of home based studios which gives them the opportunity to work on a number of projects while keeping up their own music endeavours.... [-]


ISTS - Institut Supérieur des Téchniques du Son - taught in FRENCH

ESRA - École Supérieure de Réalisation Audiovisuelle
Campus Full time 3 years September 2017 France Paris Nice Rennes Belgium Brussels + 4 more

L’école de son propose un cursus de deux ans de tronc commun de technicien son avec des spécialisations en troisième année autour du Son Audiovisuel, Son musical, Radio ou Sonorisation d’évènements. [+]

Best Course Studies in Engineering & Technology 2017. L’école de son propose un cursus de deux ans de tronc commun de technicien son avec des spécialisations en troisième année autour du Son Audiovisuel, Son musical, Radio ou Sonorisation d’évènements. Le programme débute en octobre pour se terminer en juin. Il est constitué de cours réguliers et de travaux dirigés interrompus par les périodes de contrôles, de préparation de production, de tournage et de post production. En 1ère et 2nde année, les enseignements représentent en moyenne 25 heures par semaine. Les cours théoriques Ils concernent les trois domaines suivants : connaissances scientifiques et technologie des équipements culture artistique, et plus particulièrement culture musicale techniques de prise de son et de mixage Leur objectif est de permettre à l’étudiant d’identifier et d’analyser pour chacun des domaines d’application le problème à résoudre et de trouver les solutions adaptées pour atteindre au mieux, dans le cadre du budget et des contraintes matérielles, les ambitions du commanditaire. Acquérir cette “vision globale” du son n’est possible que par l’articulation judicieuse des différents paramètres de la réalisation (esthétiques et techniques), ce qui constitue l’objectif essentiel des cours. Les travaux dirigés Ils ont pour but d’initier les élèves au maniement des matériels, de leur faire réaliser des exercices et de les préparer techniquement à leurs prochaines réalisations. Les productions et exercices Constituant à la fois des étapes essentielles dans le processus de formation et la synthèse des enseignements théoriques et pratiques accomplis, leur nombre, leur importance, leur ordonnancement dans le cursus, correspondent à l’acquisition et à la maîtrise progressive de l’écriture et de la réalisation. Les stages En milieu professionnel, les stages ont pour objectif de faire découvrir la réalité des contraintes de production ainsi que les nombreux champs d’application du secteur (studios d’enregistrement, radios, spectacles, conventions et productions audiovisuelles), pour mieux choisir sa voie et se constituer un carnet d’adresses. Ils sont obligatoires en 2nde et 3ème année à raison de huit semaines, soit 16 semaines en tout, qui sont nécessaires à l’obtention du diplôme. Le service des stages, qui est en relation permanente avec les entreprises, met à la disposition des étudiants des offres de stages tout au long de l’année. Mémoire de fin d’études En début de 3 année, chaque étudiant choisit un sujet de mémoire et sollicite un de ses professeurs pour diriger son travail. Ce mémoire fait l’objet d’une soutenance devant un jury de professeurs au mois de Septembre.   [-]

Short Courses in Science

University of Johannesburg
Campus Full time Part time February 2017 South Africa Johannesburg

Short Courses in Science [+]

Short Courses in Science Title Duration Price Admission Requirements Contact Details Certificate in Cyber Security Available on request R20000 Grade 12 2 years Industry experience in Cyber Security​ science@uj.ac.za Higher Certificate in Information Technology 1 year Full-time (minimum) 2 years Part-time R32000 Grade 12​​ science@uj.ac.za Advanced Map Work Skills 6 days including assessment R6000 Degree/diploma and preferably teachers teaching Geography at FET level. Ms Thea Schoeman 011 559 3226 theas@uj.ac.za Basic Map Work Skills 6 days including assessment R5500

Ms Thea Schoeman 011 559 3226 theas@uj.ac.za Introduction to Geographic Information Systems 14 weeks R10000 ​Diploma or Degree in Science, Humanities or Education​ science@uj.ac.za Geo-Informatics 1: Geographic Information Systems 14 weeks R8500 Bachelor’s degree or equivalent qualification, preferably with prior knowledge of Geographic Information Systems, Spatial Analysis, Remote Sensing or Aerial Photography in undergraduate studies. science@uj.ac.za Geo-Informatics 2: Remote Sensing and Image Processing 14 weeks R8500 Bachelor’s degree or equivalent qualification, preferably with prior knowledge of Geographic Information System, Spatial Analysis, Remote Sensing or Aerial Photography in undergraduate studies science@uj.ac.za Semi-Thin Wax Sections for Histology 40 hours R6000 Bachelor’s degree in an appropriate field​ science@uj.ac.za Functional Ecology of Rivers and Wetlands 200 hours R6000 Bachelor’s degree in an appropriate fiel​d science@uj.ac.za Introductory Geology 3 months part-time R4000 *Currently employed Mineral Identification personnel with experience science@uj.ac.za *Recognition of Prior Learning must be acknowledged to a level of Grade 12 [-]


Engineering summer school

EPITA Graduate School of Computer Science
Campus Full time 2 - 3 weeks July 2017 France Paris

EPITA Summer Sessions is committed to offering high quality, innovative academic courses and interactive education opportunities during the summer. [+]

Best Course Studies in Engineering & Technology 2017. For a significant and rewarding experience in Paris , EPITA offers 2 or 3-week summer programs (up to 3 ECTS credits), between the 11th of July and the 31st of July 2016, from €1,090 only. By opening its doors to foreign students, EPITA aims to educate a broad and diverse population. EPITA supports international students in acquiring multiple skills and discovering the French way of teaching. In order to boost students’ experiences in Paris, classes are focused on communication and participation. EPITA Summer School courses are full-time, intensive programs, and consist of at least 30 contact hours over the two-week period. Students will therefore have to choose among the following courses, entirely taught in English: Mobile Development 2 weeks / 2 ECTS credits The aim is to design a mobile application from scratch and know its structure and basic elements. Students will learn how to make screen layouts and user interfaces, manage contents, understand mobile applications characteristics (performance, optimization, market segmentation,), and develop a simple application for Android or iOS and install on the device. Video Games Development 3 weeks / 3 ECTS credits The aim is to design a video game with graphics and sounds. Students will learn how to use the computer components (sound cards, graphic cards,) to build up their game which is usually developed for Windows. The offered games are often a replication of those that are very well known in the market and usually most played by students. Cyber and Information Security 2 weeks / 2 ECTS credits The aim of this module is to expose the students to the client and server side security concepts. Students will understand the major security vulnerabilities associated with web technologies such as such as XSS, SQL injection, manipulate and fix those vulnerabilities, and deploying a state-of-the-art SSL/TLS configuration on a web server. Topics will include cryptography penetrating testing, digital forensics. EPITA Summer School gives ECTS credits for its courses. Students can easily transfer credits to other universities using the ECTS system. A summer school curriculum based on the real needs of the business world! We believe that professionals are not only the best qualified, but the only ones genuinely capable to train you on the professional skills you need for a successful career. Our Summer School program pledges to the following academic practices: Using company-expert only instructors Encouraging students to interact and contribute to the courses Building for each student their first international network Cultural activities EPITA Summer Schools are not only courses but also a great opportunity to have fun and discover the beautiful city of Paris! During your stay, your Buddies will guide you to visit the most famous places in Paris such as the Eiffel Tower, the Louvre museum, the Château de Versailles and even Disneyland! Services Accommodation, on option, can be provided in one of EPITA’s residences next to the campus. An airport pick-up service is also offered. [-]