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AI·빅데이터학과 로고

교육과정
  • 교육과정소개
  • 교육과정

2019학년도 데이터사이언스 교육과정표
2019학년도 AI·빅데이터학과 데이터사이언스 교육과정표
학년 학기 이수
구분
교과목 명 학점 학기 이수
구분
교과목 명 학점
1 1 교필
1
GE† Integrated Reading and Writing 3/4 2 교필 Freshmen Writing 2/4
Conversation for Global Settings 3/4

1
English for Academic Lectures 2 * 1/2

1
English for Academic Lectures 1 * 2/4
Basic Korean 2 ** 1/2
Basic Korean 1 ** 2/4
RIEP Reading&Writing 3/6
Listening&Speaking 3/6 Computational Thinking and Programming 3/3
English in Practice 1/2
English in Conversation
(Evening self-study)
1/2
Sol-Sup 1 2/2
교선 Critical Thinking and Discussion 3/3
전선 Introduction to industry4.0 3/3 전선 Applications of industry4.0 3/3
Logical thinking and basic mathematics 2/2 Mathematics for SW engineering 3/3
전필 Introduction to computing system 2/2 전필 Introduction to operating system 2/2
여름 교필
1
GE † Applied English Skills (PBL) 3/4 겨울 -
RIEP Presentation Skills 3/4
2 1 교필 Logic and Web SW programming 3/3 2 교필 - -
교선
1
Chinese 2 2/4
교선
1
Chinese 1 2/4
Spanish 2
Spanish 1
French 2
French 1
Japanese 2
Japanese 1
Korean 2 **
Korean 1 **
트랙
(부전공)
■ SW engineering 3/3 트랙
(부전공)
■ Research methodology 3/3
● Principles of marketing in IT industry 3/3
전필 Algorithm 3/3 전선 Introduction to cloud computing 3/3
전필 Introduction to data analytics 3/3
Introduction to database 3/3
Object oriented programming 3/3 Introduction to machine learning 3/3
3 1 트랙
(부전공)
● Accounting and finance in IT industry 3/3 2 트랙
(부전공)
■ SW entrepreneurship 3/3
● Computer Graphics 3/3
교선 Understanding Arts 3/3

1
Chinese 3 2/4
Spanish 3
French 3
Japanese 3
Korean 3**
전필 Principles of data science 3/3 교선 택 1 Chinese 4 2/4
Spanish 4
French 4
Japanese 4
Korean 4 **
Deep learning 3/3 전선 Principles of blockchain technology 3/3
Linear modeling 3/3
전선 Embedded and network SW for IOT 3/3
전필 Introduction to Hadoop 3/3
(전공) (현장실습) (4이상) (전공) (현장실습) (4이상)
4 1 자유
선택
자유선택(교양 및 기타전공) 5/5 2 자유
선택
자유선택(교양 및 기타전공) 5/5
전선 Computer vision 3/3 전선 Information security in industry 4.0 3/3
Natural language processing 3/3 Cognitive science 3/3
Application of Hadoop tools 3/3 AI in digital healthcare 3/3
Capstone project I 3/3 Capstone project II 3/3
(전공) (현장실습) (4이상) (전공) (현장실습) (4이상)

■ 융합부전공 전공 지정 과목
● 융합부전공 공통 과목
† TOEIC 650점 이상에 준하는 유학생 및 한국학생만 수강신청 가능
(Offered to Korean and international students with the TOEIC score above 650 or equivalent to it)
* 한국학생만 수강신청 가능 (Offered to Korean students only)
** 유학생만 수강신청 가능 (Offered to international students only)
*** TOEIC 650점 미만에 준하는 유학생 및 한국학생만 수강신청 가능
(Offered to Korean and international students with the TOEIC score below 650 or equivalent to it)

2019학년도 창의소프트웨어 교육과정표
2019학년도 AI·빅데이터학과 창의소프트웨어 교육과정표
학년 학기 이수
구분
교과목 명 학점 학기 이수
구분
교과목 명 학점
1 1 교필 택1 GE† Integrated Reading and Writing 3/4 2 교필 Freshmen Writing 2/4
Conversation for Global Settings 3/4
택1 English for Academic Lectures 2 * 1/2
택1 English for Academic Lectures 1 * 2/4
Basic Korean 2 ** 1/2
Basic Korean 1 ** 2/4
RIEP Reading&Writing 3/6
Listening&Speaking 3/6 Computational Thinking and Programming 3/3
English in Practice 1/2
English in Conversation
(Evening self-study)
1/2
Sol-Sup 1 2/2
교선 Critical Thinking and Discussion 3/3
전선 Introduction to industry4.0 3/3 전선 Applications of industry4.0 3/3
Logical thinking and basic mathematics 2/2 Mathematics for SW engineering 3/3
전필 Introduction to computing system 2/2 전필 Introduction to operating system 2/2
여름 교필 택1 GE† Applied English Skills (PBL) 3/4 겨울 -
RIEP Presentation Skills 3/4
2 1 교필 Logic and Web SW programming 3/3 2 교필 - -
교선 택1 Chinese 2 2/4
교선 택1 Chinese 1 2/4
Spanish 2
Spanish 1
French 2
French 1
Japanese 2
Japanese 1
Korean 2 **
Korean 1 **
트랙
(부전공)
■ SW engineering 3/3 트랙
(부전공)
■ Research methodology 3/3
● Principles of marketing in IT industry 3/3
전필 Algorithm 3/3 전선 Introduction to cloud computing 3/3
전필 Introduction to data analytics 3/3
Introduction to database 3/3
Object oriented programming 3/3 Introduction to machine learning 3/3
3 1 트랙
(부전공)
● Accounting and finance in IT industry 3/3 2 트랙
(부전공)
■ SW entrepreneurship 3/3
● Computer Graphics 3/3
교선 Understanding Arts 3/3
택 1 Chinese 3 2/4
Spanish 3
French 3
Japanese 3
Korean 3**
전필 Principles of data science 3/3 교선 택1 Chinese 4 2/4
Spanish 4
French 4
Japanese 4
Korean 4 **
Deep learning 3/3 전선 Principles of blockchain technology 3/3
Image and signal processing 3/3
전선 Embedded and network SW for IOT 3/3
전필 Introduction to Hadoop 3/3
(전공) (현장실습) (4이상) (전공) (현장실습) (4이상)
4 1 자유선택 자유선택
(교양 및 기타전공)
5/5 2 자유선택 자유선택
(교양 및 기타전공)
5/5
전선 Computer vision 3/3 전선 Information security in industry 4.0 3/3
Natural language processing 3/3 Cognitive science 3/3
Application of Hadoop tools 3/3 AI in digital healthcare 3/3
Capstone project I 3/3 Capstone project II 3/3
(전공) (현장실습) (4이상) (전공) (현장실습) (4이상)

■ 융합부전공 전공 지정 과목
● 융합부전공 공통 과목
† TOEIC 650점 이상에 준하는 유학생 및 한국학생만 수강신청 가능
(Offered to Korean and international students with the TOEIC score above 650 or equivalent to it)
* 한국학생만 수강신청 가능 (Offered to Korean students only)
** 유학생만 수강신청 가능 (Offered to international students only)
*** TOEIC 650점 미만에 준하는 유학생 및 한국학생만 수강신청 가능
(Offered to Korean and international students with the TOEIC score below 650 or equivalent to it)