Course in Engineering & Technology in North America

Find Course Studies in Engineering & Technology in North America 2017

Engineering & Technology

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

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

Spanning 23 countries, North America is continent filled with educational opportunity. Students have the opportunity to learn multiple languages and develop an understanding of vastly different cultures.

View all Course Studies in Engineering & Technology in North America 2017

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. [+]

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

Course in Machine Learning (Intermediate)

Coursera
Online Part time 8 months Open Enrollment USA USA Online

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

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

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. [+]

Course Studies in Engineering & Technology in North America 2017. Career Opportunities The Manufacturing Technology program provides training in a wide variety of skill areas of product manufacturing and services. The four degree options in the program are: Automated Manufacturing Systems Drafting and Design Manufacturing Technology Manufacturing Engineering Technology The Automated Manufacturing program option prepares the student for careers in computer-aided manufacturing, robotics and numerical control. The Drafting and Design degree option prepares the student for careers in the drafting and computer-aided design areas. The Manufacturing Technology degree option provides the student with a broad background in the areas of machining, drafting and fluid systems in order to prepare them for entry-level positions as machine operators, machine maintenance personnel and quality control personnel. The Manufacturing Engineering Technology degree option prepares students for entry-level engineering technician positions in manufacturing. The program also offers a mechanical drafting certificate that prepares students for entry-level mechanical drafting positions. Transfer opportunities for students wishing to complete a bachelor's degree are available. Degrees The Manufacturing Technology program provides training in a wide variety of skill areas of product manufacturing and services. Automated Manufacturing Systems Drafting/Design Manufacturing Technology Manufacturing Engineering Technology Certificates Manufacturing Skills Standards certificate Manufacturing Technology certificate Automated Manufacturing Systems certificate Drafting/Design certificate Computer-Aided Design certificate [-]

Summer Economics Courses in California

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

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

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. [-]

Video Games Course

Inter-Dec College
Campus Full time 1 year September 2017 Canada Montreal

The Video Games program at Inter-Dec College develop the skills needed to follow every step required to produce a fully functional video game. From story conception to character design and controller [+]

Video Games Course

Learn to create your own video games with cutting edge animation technology!

The Video Games program at Inter-Dec College develop the skills needed to follow every step required to produce a fully functional video game. From story conception to character design and controller functions, students will master the latest software such as 3ds Max, Combustion, Zbrush, Photoshop, UDK and Nuke.

As a graduate, you will find work with organizations that specialize in creating, managing and producing high-tech projects. From feasibility studies to visual and audio elements of a project, the video games graduate can even use interactive script-writing techniques to enhance his work.... [-]


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

Centre for Arts and Technology
Campus Full time 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.... [-]


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 [+]

Course Studies in Engineering & Technology in North America 2017. 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. [-]

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. [+]

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. [-]

Pre-engineering Track (course)

South Georgia State College
Campus Full time September 2017 USA Douglas Waycross Valdosta Americus + 2 more

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

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

Engineering Pre-Majors Science & Math Division

The Seattle Colleges
Campus Full time September 2017 USA Seattle

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

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

Course: Pre-Engineering

Park University
Campus Full time September 2017 USA Parkville

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

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

Executive Program in Information Technology: Strategies and Solutions

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

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

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

 

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


Architectural Techniques

Montreal Technical College (MTC)
Campus Full time September 2017 Canada Montreal

The Building and Public Works program, specializing in Architectural Techniques and leading to an Attestation d’Études Collégiales (AEC), is based on two fundamental subjects; construction which involves; building science, knowledge of materials and proper procedures required to achieve every element of a building, and drafting which constitutes the instrument by which the Architect or the Civil Engineer expresses his ideas to the client as well as to the contractor who must execute the work. In addition, the student is introduced to proper graphics language for each: the client and the contractor. [+]

Course Studies in Engineering & Technology in North America 2017. The Building and Public Works program, specializing in Architectural Techniques and leading to an Attestation d’Études Collégiales (AEC), is based on two fundamental subjects; construction which involves; building science, knowledge of materials and proper procedures required to achieve every element of a building, and drafting which constitutes the instrument by which the Architect or the Civil Engineer expresses his ideas to the client as well as to the contractor who must execute the work. In addition, the student is introduced to proper graphics language for each: the client and the contractor.Advantages and benefits of the programThe training is purely technical. Its focus is on learning computer assisted drafting and cutting edge building technology, allowing for immediate entry into the workforce;The size of the classrooms is kept to a minimum (10 to 12 students per class). This allows us to ensure that individual attention be given to each student, to follow respective learning procedures emphasizing the importance of communication and autonomy as a result;After having completed just sixteen (16) months of training (four consecutive sessions) students are ready to enter into the workforce; The training is first-rate given by highly qualified architects and engineers that are recognized by both l’Ordre des architectes du Québec and l’Ordre des ingénieurs du Québec.Teachers favour learning through a realistic, architectural project approach and put students in touch with the everyday workforce (visits to the corporate sector, worksites, lectures);The college offers its students use of a large drafting room and classes equipped with computers all with cutting-edge technology; Students are offered employment (part time) as early the third training session as well as small projects in order to promote integration into the workforce;Graduates entering into the workforce may supplement their training with additional courses at a university level in order to open doors to other positions of a higher level;The participation of administrative staff helps to ensure regular class attendance. The college offers a warm and friendly environment while at same time disciplined. The premises are accessible to students at all times. Start time 14 September 2015 Eligibility DES + Math 436 Équivlance + Math 436 Expérience domaine + Math 436 General information for admission Courses are offered in French or in English. Students who wish to pursue their studies at the Montreal Technical College must enrol full time. An Application for Admission must be sent as soon as possible. The college will inform the applicant of its decision promptly. Lastly, students who are accepted will receive a Registration Form to complete. Specific conditions for admission Diploma of Secondary Studies or equivalent and Mathematics 436 Equivalent training or considered adequate and Mathematics 436 Experience in the field of construction and Mathematics 436 Deadlines for application The college must receive the application form before July 15th for the fall semester and October 15th for the winter semester. Cost of studies (international students) School fees – $ 16,000.00 Textbooks – $ 625.00 Drafting Equipment – $ 215.00 [-]

Course - Web Development & Interactive Design

VanArts
Campus Full time 1 year September 2017 Canada Vancouver

People, purpose and functionality; learn how to integrate your technical abilities with relationship building skills to be in-demand as a creator of multimedia websites [+]

Course - Web Development & Interactive Design

 

People, purpose and functionality; learn how to integrate your technical abilities with relationship building skills to be in-demand as a creator of multimedia websites.Project management leaders work with students to create on-trend and leading-edge live site projects as part of our web design courses. Your involvement goes beyond the classroom. Attend real planning and development meetings where client expectations run high – and you are ready and qualified to meet them.Learn in Vancouver, described as the home of new media. Industry experts teach comprehensive web design courses, from creating visual elements to database development, through to managing your own business site. The need for web design and web development experts is only growing. Carve out your niche in the new media landscape.Next Start Dates... [-]


Course in E-Business Information and Knowledge Systems

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

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

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

[-]