Learn fundamental concepts and skills for building modern web applications in this comprehensive course.
Learn fundamental concepts and skills for building modern web applications in this comprehensive course.
Dive into the world of web application development with this comprehensive course. Gain essential knowledge and skills to build modern, full-stack web applications. Explore key concepts including data modeling, database technologies, web server environments, network protocols, and user interface design. Through hands-on projects, you'll learn agile development practices, use industry-standard tools, and work with a modern web application framework. Perfect for aspiring full-stack developers and those looking to enhance their web development skills.
4.3
(183 ratings)
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Instructors:
English
پښتو, বাংলা, اردو, 3 more
What you'll learn
Understand the fundamentals of web application architectures and design patterns
Learn to use the Ruby on Rails framework for building web applications
Gain practical experience with database integration and management in web apps
Master version control using Git and apply agile development practices
Explore middleware concepts and the HTTP protocol in web application context
Develop skills in creating user interfaces using HTML, CSS, and JavaScript
Skills you'll gain
This course includes:
5.9 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 6 modules in this course
This course provides a comprehensive introduction to web application development, covering all essential aspects of full-stack web development. Students will learn about web application architectures, database integration, middleware concepts, and user interface design. The course emphasizes hands-on learning, with students building and refining a functional web application throughout the modules. Key topics include relational databases, the Ruby on Rails framework, HTTP protocol, MVC architecture, and modern software development practices like version control and agile methodologies. By the end of the course, learners will have a solid foundation in web application development and be prepared to create their own web applications.
Welcome
Module 1 · 1 Minutes to complete
Web Applications in Context
Module 2 · 3 Hours to complete
Web Applications Frameworks
Module 3 · 5 Hours to complete
Managing Data
Module 4 · 4 Hours to complete
Middleware
Module 5 · 1 Hours to complete
The User Interface
Module 6 · 4 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Esteemed Educator and Engineering Scholar
Gregory (Greg) L. Heileman earned his BA from Wake Forest University in 1982, followed by an MS in Biomedical Engineering and Mathematics from the University of North Carolina-Chapel Hill in 1986, and a PhD in Computer Engineering from the University of Central Florida in 1989. In 1990, he joined the Department of Electrical and Computer Engineering (ECE) at the University of New Mexico (UNM) in Albuquerque, where he has had a distinguished career. He received the UNM School of Engineering's Teaching Excellence Award in 1995 and the ECE Department Distinguished Teacher Award in 2000. Heileman held the Gardner Zemke Professorship from 2005 to 2008 and was honored with the Lawton-Ellis Award for excellence in teaching, research, and community involvement in both 2001 and 2009. Additionally, in 2009, he received the IEEE Albuquerque Section Outstanding Educator Award. He served as Associate Chair of the ECE Department from 2005 to 2011 and was the Vice Provost for Teaching, Learning, and Innovation at UNM from 2011 to 2017. Currently, he is a Professor of Electrical and Computer Engineering and the Associate Vice Provost for Academic Administration at the University of Arizona. Heileman is also the author of the textbook Data Structures, Algorithms, and Object-Oriented Programming, published by McGraw-Hill in 1996.
Distinguished Scholar in Telecommunications and Machine Learning
Manel Martínez-Ramon holds the King Philip VI Endowed Chair at the University of New Mexico, USA. He earned his PhD in Communications Technology from Carlos III University of Madrid in 1999 and his Telecommunication Engineering degree from the Polytechnic University of Catalonia in 1994. He has served as an associate professor at the University of Alcalá, the Polytechnic University of Cartagena, and Carlos III University, where he taught nearly 30 different undergraduate and graduate courses in Electronics, Electric Systems, Electromagnetism, Signal Processing, Telecommunications, and Data Processing. From 2004 to 2013, he exclusively taught in English for bilingual programs at Carlos III University. Dr. Martínez-Ramon has held several administrative roles at Carlos III University, including deputy vice chancellor of infrastructure and environment, deputy director of the Polytechnic School, and director of teaching planning. His research interests are centered on machine learning and computational intelligence, contributing to various projects in signal processing, multimedia, voice processing, decision theory, neuroimaging, and more. He has authored numerous articles, conference papers, and books on machine learning applications in engineering. His current research focuses on cognitive radio, smart grid technologies, and cyber-physical systems.
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4.3 course rating
183 ratings
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