Node.js is a server development platform that has recently gained attention for its fast processing speed compared to other servers thanks to its support for parallel processing. Anyone with a basic understanding of JavaScript syntax can easily learn it, and its ability to produce high-performance applications is commensurate with the learning difficulty. These advantages have led to its widespread use in large-scale data processing and server development.
This course covers the fundamentals of Node.js, as well as web application development and database integration techniques. You'll also gain hands-on experience with a guestbook project.
Introducing the Knowledge Sharer 👨💻
Yoon Jae-seong (currently Softcampus Development Director)
I have incorporated my 19 years of experience in various fields and fields into my lectures, from the early days of mobile content in Korea's IT industry to big data development and consulting, as well as IT application software development.
Development experience
• SKT launches "Island Adventure" mobile content development
• KT launches mobile content development for "Quiz Soccer"
• SK launches "Mobile Certified Broker"
• Development of the iPhone "Hanja Tong" app
• iPhone "Health Training" app development
• KT/SK Japan Namco "Dale of Commons" content development
• Development of KT mini games (Gradually Grabbing Land, Aladdin's Magic Lamp, Mystery Block Detectives, BUZZ and BUZZ)
Teaching experience
I am a veteran instructor with 19 years of experience in teaching and developing for current and unemployed employees of famous domestic companies such as Samsung Multicampus, Busan IT Industry Promotion Agency, Jeonju Information and Culture Industry Promotion Agency, Incheon IT Industry Promotion Agency, Korea Radio Promotion Agency, SK C&C, T Academy, Korea Robot Industry Promotion Agency, Daejeon ETRI, Samsung Electronics, nica Training Center, Korea Productivity Center, Hanwha S&C, Samsung Electronics, LG Electronics, SK C&C, Daegu Robot Industry Promotion Agency, and Pusan National University.
Lecture area
I lecture on Java, Android, frameworks, databases, UML, iPhone, big data processing and analysis, Python, the Internet of Things, data analysis using R/Python, deep learning, machine learning AI, Spark, and more. I draw on my diverse experience to explain concepts as easily as possible, and I create and explain examples that facilitate practical application. Since this is not an offline class, please use the Q&A for any questions you may have. I will do my best to resolve any issues as quickly as possible.