Dr. Jang's Introduction to Big Data and Artificial Intelligence

A course that allows non-majors, newbies, and planners to create blockchain dApps even if they have never coded before.

You will learn how to build an IoT system through an actual project, covering Arduino, sensor control, and UI development using Node-RED.

You can understand metaverse technology in a short period of time, and we will teach you practical skills for creating metaverse worlds and issuing and selling NFTs without coding.

Learn how to understand advanced machine learning models without math and implement them easily in Python.

Understand the basic concepts and latest trends of big data, and through technical understanding of big data analysis techniques, extract data patterns to present methods for business application. Through big data, you can create new businesses and develop insights into future business environments.

If you want to be recognized as a machine learning expert based on large-scale data, from understanding the core framework of Spark machine learning, to SQL-based data processing through difficult practical problems, to data analysis through business domain analysis, and to the ability to implement optimized machine learning models, please join this course.

We cover machine learning algorithms, especially regression analysis and decision trees, that are used to identify patterns in data and make predictions. You will understand what regression analysis and decision trees are and how they are used.

This is a Python basics course for starters who want to grow as data analysts. - Those who want to do data analysis but don't know Python - Those who want to learn machine learning with Python - Those preparing for the Big Data Analytics Engineer practical exam - Those who want to develop machine learning-based applications with Python

The electronics and semiconductor industry is a field where data-driven management and innovation are particularly crucial due to ultra-precision processes and complex supply chains. This course covers practical strategies that can be directly applied in electronics and semiconductor manufacturing, including defect detection, process optimization, predictive maintenance, and supply chain management using AI technology. Along with real-world cases from global companies, the course also presents low-cost, high-efficiency AI implementation methods that small and medium-sized enterprises can realistically utilize. Through this, students will be able to understand and apply AI-based manufacturing strategies that not only improve productivity and reduce costs, but also build future competitiveness.