Department of Artificial Intelligence
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address
(14662) 43, Jibong-ro, Bucheon-si, Gyeonggi-do, Republic of Korea -
hours of operation
8:30 am-5:30 pm -
tel
+82 2 2164 4865 -
e-mail
ai@catholic.ac.kr
About the Department
The Department of Artificial Intelligence is a new department established in 2021 and is fully supported by Catholic University as part of the University Innovation Project in preparation for the Fourth Industrial Revolution. Artificial intelligence technology is spreading to almost all industries due to the combination of hardware performance improvements that can quickly process large amounts of data and powerful and efficient algorithms that can provide solutions within a limited time. Therefore, in the era of the Fourth Industrial Revolution, it is important to utilize artificial intelligence technology to create social and industrial value and improve problem-solving capabilities. The Department of Artificial Intelligence aims to foster convergent talents who can solve social problems in the fields of healthcare, humanities, natural sciences, and arts by utilizing artificial intelligence.
Major Course Guide
Year 1 │ Computers & Programming
Learn about Python, the most fundamental language for machine learning and deep learning. Students can take this class for two semesters, mastering Python through lectures and labs.
Year 2 │ Artificial Intelligence Programming
Learn basic programming methods for designing artificial intelligence. In addition to the theoretical background, students will learn about programming languages and coding methods that are essential for AI through hands-on programming exercises.
Year 3 │ Computer Vision
Learn about methodologies and algorithms for extracting characteristic information from photos and videos. Students will learn the basic principles and applications of computerized processing of visual information to apply to artificial intelligence.
Year 4 │ Medical Artificial Intelligence
This course analyzes medical data generated in the medical field through artificial intelligence techniques to diagnose diseases or monitor health. Among the artificial intelligence techniques learned, students design models suitable for medical data and use them to solve medical problems.
Curriculum
| Year 1 | Computers and Programming 1, 2 |
|---|---|
| Year 2 | Linear Algebra, Digital Logic Design, Artificial Intelligence Programming, Probability and Statistics, Discrete Mathematics, Signals and Systems, Computer Structures, Object-Oriented Programming, AI Experience Lab, Machine Learning, Data Structures |
| Year 3 | Artificial Intelligence, Algorithms, Deep Learning, Computational Neuroscience, Database Design, Data Mining, Computer Vision, Reinforcement Learning, Digital Signal Processing, Computer Networking, Speech Recognition and Synthesis, Natural Language Processing |
| Year 4 | AI Capstone Design, AI Fieldwork, Special Topics in Artificial Intelligence, Introduction to Robotics, Graph Mining |
Academic Activities
We will continue to host AI and data science competitions that engage students in academic research and free-flowing ideas about AI. Through these competitions to we will promote interest in A.I. and to foster camaraderie between students and professors.
Departmental Talent
- The creativity and interdisciplinary skills to solve problems
- Global leadership to lead the 21st century's advanced knowledge information society.
- A person with morals and ethics who can contribute to the prosperity of the community, country, and human society
High School Courses Related to Major
| General Electives | Career Electives |
|---|---|
| Math I, Math II, Calculus, Probability and Statistics, Physics I, Life Sciences I, etc. | Geometry, Physics II, Interdisciplinary Science, Engineering General, etc. |
Careers after Graduation
| Education & research | Professor of Science and Engineering |
|---|---|
| Enterprise & Professions | AI programmer, intelligent software developer, medical AI system programmer, game programmer, drone developer, robotics engineer, robotics researcher, mobile game programmer, mobile content developer, system software developer, application software developer, computer programmer, big data processing engineer, artificial intelligence investment analyst |
Subject-Related Certifications
Some of the certifications that can be obtained while studying AI include "Information Processing Engineer" and "Big Data Analyst". However, as it is a newly emerging technology, it is more important to cultivate practical competencies than certifications.