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

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

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

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 build a solid foundation in Python and solve data analysis problems!

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!

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

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

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

Let's manage projects efficiently and smartly through data science

ChatGPT, become a creator using generative AI!

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 learn various data structures and algorithms and develop practical skills by implementing them through programming!

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

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

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

Let's experience collaborative application development in a Linux shell and open-source software environment, and set up the development environment required for coding!

Let's understand data analysis suitable for advanced retail business and learn how to utilize tools utilized in the industry!

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

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

Learn the fundamentals of website building and gain everything from web development basics to practical application skills through hands-on projects integrating public data Open APIs!

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.

Problematization is a term that can be translated as "raising a problem" or "problem framing." It can also be interpreted as problem setting or problem definition. It is a concept that involves questioning known facts—such as requirements or common sense—from a new perspective, defining the problem, and structuring the process to solve it. While problematization should be the starting point for all development, it is a topic that has not yet been sufficiently discussed in the field. Carrying out a project or developing a program is, in fact, the act of creating a plan to solve a problem. In other words, it is inherently linked to problematization. To solve a problem, the problem must first be clearly defined. However, most problems are given in the form of vague requests. Therefore, having the power to transform vague requests into clear problems can reduce unnecessary "development waste," facilitate smooth collaboration, and accurately identify the true needs of users. This course helps you train your "constructive thinking" regarding problems through practical cases and tools.

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! ^^

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.

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