Korea University College of Informatics

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HOME Undergraduate Interdisciplinary Major in Artificial Intelligence Course

Course

Regulations for course completion

1. A minimum of 36 credits is required to complete this Interdisciplinary Major, including 6 credits of required major courses.
 
2. However, students from participating departments must complete at least 18 credits from courses in major areas other than their first major, among the courses offered as part of the Artificial Intelligence Application Interdisciplinary Major.
In addition, courses completed as part of the first major that exceed the 30 credits required for the Interdisciplinary Major may be counted toward both the first major and the Interdisciplinary Major.
 
3. Up to 6 credits from internship courses may be recognized as major credits. Courses offered by the Center for Field Practice, including courses with course codes beginning with “COOP,” may also be recognized as major credits, up to 6 credits. However, the total number of internship credits that may be recognized as major credits is limited to 6 credits.
 

List of courses

List of interdisciplinary major courses
융합전공 교과목 목록

Section

Course Number

Course Title

Recommended Year

/Semester

Credit

(Hour)

Theory

/Practice

 Available majors

 

 COSE362

MACHINE LEARNING

 3/2 3(3) Theory

Computer science and Engineering
COSE213

DATA STRUCTURE

 3/1 3(3) Theory Computer science and Engineering
Select
One
 COSE382 PROBABILITY AND RANDOM PROCESSES 3/2 3(3) Theory Computer science and Engineering
KECE209 PROBABILITY AND RANDOM PROCESS   3(3) Theory  

 

 AICE301 Ethics of Artificial Intelligence 3/1 3(3) Theory

Interdisciplinary Major in

Artificial Intelligence
AICE401 Applications and Understanding of Artificial Intelligence 4/1 3(3) Theory

Interdisciplinary Major in

Artificial Intelligence
BNCS301 INTRODUCTION TO BRAIN AND COGNITIVE SCIENCES 3/1 3(3) Theory

Interdisciplinary Major in

Brain and Cognitive Science
BNCS303 INTRODUCTION TO BRAIN AND MEDICAL ENGINEERING 3/2 3(3) Theory

Interdisciplinary Major in

Brain and Cognitive Science
BNCS304 PHYSICS FOR LIFE SCIENCE 3/2 3(3) Theory

Interdisciplinary Major in

Brain and Cognitive Science
BMED311

BIOMEDICAL MEASUREMENT AND INSTRUMENTATION

 3/1 3(3) Theory Biomedical Engineering
BMED318

BIOMEDICAL IMAGING

 3/1 3(3) Theory Biomedical Engineering
COSE214 ALGORITHMS   3(3) Theory  
COSE281

ENGINEERING MATHEMATICS

 3/1 3(3) Theory Computer science and Engineering
COSE361

ARTIFICIAL INTELLIGENCE

 3/1 3(3) Theory Computer science and Engineering
COSE416 SLEF-DRIVING CARS 4/2 3(3) Theory Computer science and Engineering
COSE423 INTRODUCTION TO CONVEX OPTIMIZATION   3(3) Theory  
COSE461

NATURAL LANGUAGE PROCESSING

 4/1 3(3) Theory Computer science and Engineering
COSE474

DEEP LEARNING

 4/2 3(3) Theory Computer science and Engineering
COSE485

INFORMATION THEORY AND INFERENCE LEARNING

 4/1 3(3) Theory Computer science and Engineering
DATA303 ADVANCED MACHINE LEARNING   3(3) Theory  
DATA304 BIG DATA ANALYTICS   3(3) Theory  
DATA403 REINFORCEMENT LEARNING   3(3) Theory  
STAT302 TIME SERIES ANALYSIS   3(3) Theory  
STAT342 REGRESSION ANALYSIS   3(3) Theory  
STAT404 INTRODUCTION TO BAYESIAN STATISTICS   3(3) Theory  
STAT407 CAUSAL INFERENCE   3(3) Theory  
IMEN151

INTRODUCTION TO LINEAR ALGEBRA

 3/1 3(3) Theory

School of Industrial Management Engineering
KECE470

PATTERN RECOGNITION

 4/2 3(3) Theory Electrical Engineering
KECE471

COMPUTER VISION

 4/1 3(3) Theory Electrical Engineering
MECH457

NUMERICAL ANALYSIS

 4/1 3(3) Theory School of Mechanical Engineering
MECH483

ROBOTICS

 4/1 3(3) Theory School of Mechanical Engineering