人文社会体系系列専攻者のためのコンピューティング思考と人工知能

Let's learn the basics of the Python programming language and acquire the Python coding skills necessary for artificial intelligence!

Let's learn various data structures and algorithms and develop the ability to implement them through programming!

Let's design, implement, and develop while learning the basic concepts of the C++ language and object-oriented concepts!

ChatGPT, become a creator using generative AI!

Let's understand the main algorithms of machine learning and deep learning, and learn about artificial intelligence!

Learn and understand AI and AI ethics, then integrate with your major to boost AI digital skills!

Let's develop basic field knowledge of clothing science and the capabilities of a fashion specialist through understanding AI-based textile CAD!

Let's develop the skills to develop web applications using React and develop the capabilities to apply them in practice!

Leverage Python to learn machine learning techniques, improving real data information extraction and prediction model development skills!

Let's build a foundation for using Python and solve data analysis problems!

Learn how to use Git and GitHub and use them for collaboration!

Let's analyze and visualize data and learn machine learning concepts using Orange 3!

Learn basic website building methods and gain practical application skills from the basics of web development through practical projects linked to public data Open API!

Let's understand model algorithms for machine learning and deep learning by utilizing Keras!

Let's build a foundation of MATLAB and apply and understand the basic concepts of programming!

Let's manage projects efficiently and smartly through data science

Java programming based on object-oriented concepts for computer science majors

Modern C++ programming based on object-oriented concepts for computer science majors

Are you a digital talent interested in the Internet of Things (IoT)? Get started with the Internet of Things through Arduino!

Experience developing applications collaboratively in a Linux shell & open source software environment, and build the development environment required for program coding!

Computational thinking isn't something that only computer science majors learn. Every profession has problems that need to be solved, and computational thinking can be used to solve those problems.

It improves logical thinking skills, develops an understanding of how to use programming tools, and develops the ability to design algorithms for problem solving.

For those who want to learn Entry but are having difficulty due to lack of accurate explanations, I have prepared a lecture that covers the basics of Entry. Anyone who has downloaded the Entry program can watch the lecture and follow along.

Learn the contents of <Understanding Block Coding>, which is included in the mandatory subjects designated by the Ministry of Education for elementary, middle, and high schools.

Using block coding Entry, foster computational thinking and problem-solving skills, and through Entry AI tools, learn artificial intelligence concepts and practice simple machine learning.

This course is for those who want to learn maker coding through entry block coding and learn the basics of coding. Even non-majors! Even students who are new to coding! You can learn the basic theories of coding and the basic usage of parts/sensors to engage in various maker activities.

Problematization (문제화) is a term also translated as problem posing, problem framing, problem setting, or problem definition. This concept involves questioning known facts (like requests or common sense) from a new perspective, defining the problem, and devising methods to solve it. Problematization should be the starting point for all development, yet it remains insufficiently discussed within the field. Performing projects or developing programs is, in essence, planning to solve problems. This means they are related to problematization. To solve a problem, it must first be clearly defined. However, problems are mostly presented as vague requests. Therefore, the ability to transform vague requests into clear problems is essential to reduce unnecessary 'development waste,' facilitate smooth collaboration, and accurately grasp users' true needs. This lecture helps train 'the thinking of problem construction' through practical examples and tools.

This is a course for the 'Coding Ability Master Level 2' certification hosted by the Korea Information and Communications Association. It is highly recommended for those who want to learn coding without difficulty and obtain a certification! ^^