Part time Course in Engineering & Technology

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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.

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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 Part time 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" [-]

Engineering summer school

EPITA Graduate School of Computer Science
Campus 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. [+]

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. [-]

A Levels

Cardiff and Vale College
Campus 32 weeks September 2017 United Kingdom Cardiff

This is a one-year intensive course to improve A-level grades or to allow mature students with appropriate experience to gain A-level qualifications. You can complement your studies with essential GCSEs, as well as compulsory tutorial and skills for life. [+]

Best Part time Course Studies in Engineering & Technology 2017. Full Time A3 - 1 year intensive Level 3 Cardiff Art & Design - ASLevel 3 Cardiff Biology - A2 Level 3 Cardiff Biology - AS Level 3 Cardiff Business Studies - A2 Level 3 Cardiff Business Studies - AS Level 3 Cardiff Chemistry - A2 Level 3 Cardiff Chemistry - AS Level 3 Cardiff Computer Science - A2 Level 3 Cardiff Computer Science - AS Level 3 Cardiff English Language & Literature - AS Level 3 Cardiff English Language - A2 Level 3 Cardiff English Language - AS Level 3 Cardiff English Literature - A2 Level 3 Cardiff English Literature - AS Level 3 Cardiff Film Studies - A2 Level 3 Cardiff Film Studies - AS Level 3 Cardiff French - AS LevelLevel 3 Cardiff Further Mathematics - AS Level 3 Cardiff Geography - AS Level 3 Cardiff Government & Politics - A2 Level 3 Cardiff Government & Politics - AS Level 3 Cardiff Graphic Communication - A2 Level 3 Cardiff Graphic Communication - AS Level 3 Cardiff History - A2 Level 3 Cardiff History - AS Level 3 Cardiff Information & Communication Technology - A2 Level 3 Cardiff Information & Communication Technology - AS Level 3 Cardiff Law - A2 Level 3 Cardiff Law - AS Level 3 Cardiff Mathematics - A2Level 3 Cardiff Mathematics - AS Level 3 Cardiff Media Studies - A2 Level 3 Cardiff Media Studies - AS Level 3 Cardiff Photography - A2 Level 3 Cardiff Photography - AS Level 3 Cardiff Physical Education - AS Level 3 Cardiff Physics - A2Level 3 Cardiff Physics - ASLevel 3 Cardiff Psychology - A2Level 3 Cardiff Psychology - AS Level 3 Cardiff Religious Studies - A2 Level 3 Cardiff Religious Studies - AS Level 3 Cardiff Sociology - A2 Level 3 Cardiff Sociology - AS Level 3 Cardiff World Development - A2 Level 3 Cardiff Part Time Biology - A2 Level 3 Cardiff Biology - AS Level 3 Cardiff Business Studies - AS and A2 [1 Year]Level 3 Cardiff Chemistry - AS Level 3Cardiff English Literature - AS and A2 [1 Year]Level 3 Cardiff French - AS Level 3 Cardiff Law - AS and A2 [1 Year]Level 3 Cardiff Mathematics - A2 Level 3 Cardiff Mathematics - AS Level 3 Cardiff Photography - AS Level 3 Cardiff Psychology - ASLevel 3 Cardiff Sociology - AS and A2 [1 Year]Level 3 Cardiff Spanish - AS Level 3 Cardiff Qualifications: AS/A-levels Course overview: This is a one-year intensive course to improve A-level grades or to allow mature students with appropriate experience to gain A-level qualifications. You can complement your studies with essential GCSEs, as well as compulsory tutorial and skills for life. Entrance to this programme is at the individual subject leader's discretion and each student negotiates an individual timetable selecting from both day and evening courses. A specific tutorial of 1.5 hours which includes UCAS and careers support is part of this course. Entry requirements: Qualifications Meeting specific subject criteria. Please note we will need to see your qualification results and certificates before you can enrol. Teaching and assessment: Exams and coursework Next steps: University Industry Other level 3 courses Important points: The College welcomes contact with parents/guardians of students who are under 18 Additional support is available for students with learning difficulties and disabilities Cardiff and Vale College is committed to inclusion and values diversity. We are determined to promote equality of opportunity and to treat everyone fairly and with respect Cardiff and Vale College reserves the right to make changes to this course without prior notice All courses are accurate at the time of upload or print Courses can only run if there are sufficient numbers Please note, if you choose three or more course choices, then you may be referred for a careers appointment first. This does not apply to A Level or GCSE choices. [-]

Information Security Management

Fanshawe College
Campus or Online 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. [+]

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. [-]

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 Graphic Design Essentials (Adobe Photoshop)

First Media Design School
Campus 30 hours August 2017 Singapore

This course aims to teach learners the fundamental application steps in communication design through the use of Photoshop. Learners will acquire design appreciation and design conceptual skills to develop a series of collaterals for campaign launch. [+]

Course in Graphic Design Essentials (Adobe Photoshop) This course aims to teach learners the fundamental application steps in communication design through the use of Photoshop. Learners will acquire design appreciation and design conceptual skills to develop a series of collaterals for campaign launch. Entry requirement 1. Basic computer operational knowledge and skills. 2. Able to speak, read and write in English. 3. Have an interest in arts and design. Methods of assessment All assessment is based on 100% coursework. Students are expected to demonstrate their design skills in the form of verbal and visual presentations and reports in preparation of portfolio work. Certification obtained upon completion of the programme WSQ Develop 2D Visuals Using Computer Software [-]

TECHNOLOGY AND THE STAGE

The Lir National Academy of Dramatic Art at Trinity College Dublin.
Campus 2 days February 2017 Ireland Dublin

A two day workshop covering the principles and practices in lighting a small theatre production including rigging and focusing theatre lanterns, the use of special effects, programming the operating desk and the operation of follow spots. [+]

Best Part time Course Studies in Engineering & Technology 2017. A two day workshop covering the principles and practices in lighting a small theatre production including rigging and focusing theatre lanterns, the use of special effects, programming the operating desk and the operation of follow spots. The course will include practical sessions as well as presentations from the tutor. Day two will focus on sound design covering what sound is and how it can be managed, systems and equipment and how to use them, troubleshooting and the basics involved in setting up the sound for a small theatre production. Cancellation Policy The full course fee is payable as acceptance of an offer of a place on the course. In the event of cancellation more than two months prior to the course start date, a sum of €100 will be retained to cover administration costs. In the event of a cancellation less than two months prior to the course start date, the sum of €250 will be retained. A withdrawal less than one month before the course start date will result in the forfeiture of the entire fee. Application Requirements Fluency in the English language is essential. A commitment to punctuality, discipline and preparation is required from every participant. Information on what to wear etc. will be sent to successful applicants once they have been accepted onto the course. [-]

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. [-]

Expert In Big Data

Universidad Pontificia De Salamanca
Campus 1 year October 2017 Spain Salamanca

In today's world data continuously, internet browsing, moving around the city, making card purchases using public services are generated, [+]

Best Part time Course Studies in Engineering & Technology 2017. Program Description In today's world data continuously generated, surfing the internet, moving around the city, making card purchases using public services ... The amount of data continues to grow, and only those organizations able to convert these data into knowledge and value are going to be able to survive and grow in an increasingly competitive environment. In this postgraduate course in 'Big Data' they will be studied and applied to real cases of Telefónica R & D tools and more important for 'Big Data' technologies. GOALS Meet new methodologies for analyzing massive amounts of data generated by applications like twitter, social networking, biomedical technologies etc. Knowing the most widely used programming tools to develop applications within the field of 'Big Data' and to analyze complex data. Knowing the characteristics and working with real applications that generate massive amounts of data and require the development of advanced tools 'data mining'. priority to applications that work the center of Telefónica I + D will. Implemented using the prototypes studied languages ​​and tools that provide solutions to open problems in applications of 'big data'. priority to those issues forward for Telefónica I + D will. Professional profiles Data Analyst Data scientist Information Systems Engineer Curricula Module I: Techniques storage and data analysis Introduction and Motivation The data storage technologies Data Analysis with R Programming languages: Python Module II: Programming languages ​​and technologies for big data Python for data analysis Introduction to Hadoop Hadoop ecosystem components YARN: Hadoop 2.0 Apache Spark Open Data and Open Government Indexers documents: Elasticsearch The importance of data visualization Module III: Tools and visualization techniques Data visualization technologies D3.js Capstone Project Module IV: Project 'Big Data' Project on a real case of 'Big data' Methodology seminars (200h) with high practical content Projects on applications in which Telefónica R & D work for each topic Final project on a real problem Duration and price Start date: October 2016 Duration: From October to June Price: 1,500 Places available: 30 Location: Salamanca Contact: mmartinmac@upsa.es [-]

Installing and Configuring Windows Server 2012

Kensington and Chelsea College
Campus 1 week August 2017 United Kingdom London

Get hands-on instruction and practice installing and configuring Windows Server 2012, including Windows Server 2012 R2, in this five-day Microsoft Official Course. [+]

Business and Management skills are essential for people working in all sectors. Whether you wish to find your first job, gain professional development in your current role, or take the next step in your career, we provide the know-how you need. Courses have a strong employability focus, giving you an opportunity to learn new skills and share ideas. Course Overview Get hands-on instruction and practice installing and configuring Windows Server 2012, including Windows Server 2012 R2, in this five-day Microsoft Official Course. This course is part one in a series of three courses that provides the skills and knowledge necessary to implement a core Windows Server 2012 infrastructure in an existing enterprise environment. This course maps directly to and is the preferred choice for hands-on preparation for the Microsoft Certified Solutions Associate (MCSA). Exam 410: Installing and Configuring Windows Server 2012, which is the first of three exams required for the MCSA: Windows Server 2012 credential. Campus: Chelsea Centre Times: Mon-Fri 09:00 - 17:30 [-]

Preparatory Course for GCE ‘O’ Level

Spring College International
Campus 12 months August 2017 Singapore

The Singapore-Cambridge GCE ‘O’ level Examinations are national level assessments jointly organised and conducted by the Singapore Examinations and Assessment Board (SEAB) and the University of Cambridge Local Examinations Syndicates. [+]

Best Part time Course Studies in Engineering & Technology 2017. The Singapore-Cambridge GCE ‘O’ level Examinations are national level assessments jointly organised and conducted by the Singapore Examinations and Assessment Board (SEAB) and the University of Cambridge Local Examinations Syndicates. The ‘O’ Level certificate itself is an internationally recognised qualification that can be used to apply for tertiary education in the Commonwealth countries and in the United States of America. Local junior colleges, polytechnics and private institutes also require prospective students to possess the ‘O’ Level certificate for admission. Our programme thoroughly prepares private candidates for the Singapore-Cambridge GCE ‘O’ Level Examination with intensive lessons daily. Upon passing or obtaining outstanding results for the exam, students may opt to pursue their tertiary education in local junior colleges, polytechnics, private institutes or overseas colleges and institutes. Students who manage to attain outstanding results in ‘O’ level results could receive grants up to 65-66% of polytechnic fees (based on academic year 2016/17), on the condition they work for three years with any enterprise in Singapore. Objective To prepare students for the Singapore Cambridge GCE ‘O’ Level examination in order to obtain internationally recognized academic achievement. Upon obtaining this qualification, students may choose to further studies in local polytechnics, local junior colleges, or foreign colleges and universities in Commonwealth countries or the United States. Pre-requisites 16 years old and above Academic level: Student must have successfully complete Secondary 3 or equivalent Language Proficiency: Students must pass SCI placement test Course Duration 12 months – Monday to Friday 9 a.m. to 4 p.m. 9 a.m. to 12 p.m. – English language 1p.m to 4 p.m. – other subjects [-]

Advanced Study Program in Web Design

IED – Istituto Europeo di Design Rome
Campus Part time 7 months March 2017 Italy Rome

Media Designers use blogging, podcasting (webcasting) and NetTV, as well as new media content generators, and have the ability of organising communities and social networks to enable their users to share their opinions through text, images, music, ideas and suggestions. The course aims at creating a professional profile within the Web Media Designer able to produce a new generation of services with the web 2.0 advertising and marketing techniques in which on-line ideas are produced and shared through on-line communities and companies. [+]

THIS PROGRAM IS TAUGHT IN ITALIAN Aimed at: The course is addressed to Newly-graduates and professionals (designers, developers, tool planners, journalists and columnists, Marketing managers, etc.) who want to specialize in the field of digital media in the communication scope. The knowledge of web 1.0 and marketing, advertising and design web principles is required. Objective and structure: The course in Web Design is conceived as a creative and productive lab and makes use of professionals working in the Digital Media field: Art Directors, Web Designers, Managers, Internet Technicians and Web Agencies. The didactic activity is integrated by projects ordered by real customers that allow applying the website design as well as realizing and publishing the conceived websites. DESIGN AREA The content elements representing the communication structure of the website with reference to design are the important step of the design on the Internet. COMMUNICATION AND MEDIA AREA During the training, the future Web Media Designer will learn the contents and the market techniques linked to the Internet. TECHNOLOGIES AREA The use of the state-of-the-art software technologies to realize highly interactive websites in which the users can change and update the contents. Hardware technologies and the software for the network to configure the servers and the network. RIGHTS AND COPYRIGHT AREA The Web Media Designer field uses the new models conceived to protect rights and the copyright with flexible and modifiable licences. [-]

Advanced Diploma in Animation for Game, Film, & Visual Effects

Centre for Arts and Technology
Campus 24 months October 2017 Canada Kelowna

LIMITED NUMBER OF SCHOLARSHIPS AVAILABLE FOR UPTO $3000 ON A FIRST COME FIRST SERVE BASIS. APPLY TODAY. Do you ever wonder about the talent, dedication and hard work that goes into the magic of bringing a character or environment “alive” in an animation or special effect? Our 3D animation program in Kelowna, BC, trains you to succeed in this continually in demand and evolving field. [+]

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

Do you ever wonder about the talent, dedication and hard work that goes into the magic of bringing a character or environment “alive” in an animation or special effect? Our 3D animation program in Kelowna, BC, trains you to succeed in this continually in demand and evolving field. Through concept development and storyboarding all the way to post production and special effects, our Animation for Game, Film, & Visual Effects diploma program allows you to build a strong foundation of 3D animation skills to start your career as an animator in gaming, film, and animation studios across the country.... [-]


One Year Course in Car Design Tools

Scuola Politecnica di Design SPD
Campus 10 months October 2017 Italy Milan

The One Year Course in Car Design Tools is designed to transfer a complete understanding of automotive strategy, planning and the relevant design techniques. The programme is devised as a first approach to the most fascinating and competitive careers in the world of design. It is intended as a primer to the Master in Transportation and Car Design... [+]

The One Year Course in Car Design Tools is designed to transfer a complete understanding of automotive strategy, planning and the relevant design techniques. The programme is devised as a first approach to the most fascinating and competitive careers in the world of design. It is intended as a primer to the Master in Transportation and Car Design. CHARACTERISTICS AND AIMS The programme provides a tightly interlaced mix of strategic thinking, design methodology with a spur toward product and system innovation, marketing and communication insights, car design hard skills. Teaching is arranged into a balanced combination of theoretical teaching and project-based training. The One Year course is aimed at candidates with an academic background non relevant to the main area of study wishing to acquire the essential set of skills to approach the design process. Lessons are directly relevant to the requirements and the skills needed for the Master’s year, which is a continuation of this course and focuses on more specialized aspects. DURATION The One Year Course lasts for one academic year from October to July. Attendance is compulsory and full-time commitment is required including the participation to lessons, class exercises, visits and the individual study. [-]

Summer School of Information Technologies: Enterprise Resource Planning with SAP ERP

Peter the Great St. Petersburg Polytechnic University
Campus 11 days July 2017 Russia St. Petersburg

This course describes the fundamental theory of enterprise resource planning systems and shows how the basic business processes interact with the SAP ERP in different functional areas. [+]

Best Part time Course Studies in Engineering & Technology 2017. This course describes the fundamental theory of enterprise resource planning systems and shows how the basic business processes interact with the SAP ERP in different functional areas. Introduction to Enterprise Resource Planning with SAP ERP The discipline “Introduction to Enterprise resource planning with SAP ERP” is dedicated to the basics of the theory of ERP systems and their usage for optimization of enterprise performance. It uses SAP ERP for a practical demonstration of the capabilities of modern information systems in the field of the automation of basic business-processes in the enterprise. The goal of the course is to make the listeners familiar with the following areas: - Basic modern theory of enterprise management on the base of ERP-systems; - Main functions and application areas of ERP-systems; - SAP ERP possibilities of automation of enterprise management; - Enterprise model in SAP ERP; - Automation of business-processes in SAP ERP; - Introduction to the operation workflow in SAP ERP Included cultural activities: - Night city tour and party on the boat - Picnic on the beach of the Gulf of Finland [-]