
Yoon Jae-seong's Java-based Android App Development Part 1 - UI Programming
softcampus
This lecture is a lecture by instructor Jaeseong Yoon, who teaches Android lectures at App School: Like a Cool Lion.
初級
Java, Android
It focuses on the four major components of Android, data management, networks, etc.

Reviews from Early Learners
5.0
kjo19990606
thank you!
5.0
mkfine
It helped a lot^^
5.0
dj.lim
It was informative and I enjoyed it
This course covers most aspects of Android application development, from basic to advanced, and uses Java for all code, starting from the basics. This course focuses on the four major Android components, data management, and networking, among other topics. Soft Campus strives to always provide the most up-to-date lectures. Thank you.Basic Step 1 of Java-Based Android 9.0 (Pie) App Development
We focus on learning about screens and interfaces.
Instructor Koh Hyun- chul is the CEO of Wizspell, a 3D game development company. He has taught Unity courses at Samsung Multicampus, the Busan IT Industry Promotion Agency, the Jeonju Information and Culture Industry Promotion Agency, and the NICA Convergence Center.
Instructor Jaeseong Yoon has been developing and lecturing on a wide range of applications, from the early days of mobile content development in Korea's IT industry to the present day, including Android and iPhone app development. He currently serves as the Director of Development at Softcampus Inc.
Development experience
Teaching experience
We have been developing and providing lectures for 18 years to current and unemployed people from 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, and Hanwha S&C.
Lecture content
Lecture area
Java, Android, Framework, Database, UML, iPhone, Big Data Processing and Analysis, Python, Internet of Things, Data Analysis using R/Python, Deep Learning, Machine Learning AI, etc.
16,022
Learners
826
Reviews
594
Answers
4.7
Rating
44
Courses
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Thank you.
All
34 lectures ∙ (12hr 59min)
Course Materials:
1. authority
31:54
2. Thread
22:00
5. AsyncTask
21:00
6. RunOnUiThread
10:00
17. Fragment
23:00
19. ListFragment
12:00
20. DialogFragment
11:00
All
14 reviews
4.7
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