Computational Thinking and Artificial Intelligence for Humanities, Social Sciences, Arts, and Physical Education majors

Let's develop the capacity to extract valuable information from big data and support decision-making!

Let's collect and refine data through public data, web scraping, and more, and perform exploratory data analysis!

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

Let's learn how to collect data from the web and create a supervised learning model for machine learning!

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

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

Let's develop the ability to find rational decision-making models based on mathematical thinking by understanding various elements of AI and data, and solving real-world problems using ChatGPT and no-code programming!

ChatGPT, become a creator using generative AI!

Let's understand object-oriented concepts through Java programming and improve our program design and problem-solving skills!

Let's learn how to translate real-life and major problems into actual computer programs and practice using Python-based artificial intelligence tools!

Let's develop specialized skills in programming skills, algorithm skills, and statistical analysis skills!

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

Understand and learn about Artificial Intelligence and AI ethics, and strengthen your AI digital capabilities by integrating them with your own field of study!

Let's look into how to deploy Abyss for non-majors!

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

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

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

Let's manage projects efficiently and smartly through data science

Are you a digital talent interested in coding and development? Get started with block coding through App Inventor!

Let's develop practical data-driven administrative capabilities to empirically solve administrative and policy problems by analyzing public data with R and Python!

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.

Along with reading, writing, and arithmetic, computational thinking is an essential skill that everyone living in the AI era must possess. Simply put, computational thinking can be defined as thinking like a programmer or a computer scientist. This course replicates an actual one-semester university lecture and covers essential content for those new to programming or beginners planning to major in computer science. Additionally, through this course, non-computer science majors or those with a humanities background can develop the ability to communicate easily with professional programmers. Even in an era where learning prompts for "AI vibe coding" is necessary, computational thinking allows you to develop the ability to instruct AI more accurately and effectively.

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.

[Scheduled for completion of the 2nd edition in May 2026] Helps train the "structured thinking" required to solve problems.

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.

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! ^^

Let's create your own self-driving car using block coding using Scratch Entry!