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  • 미래기술학과 관련사진

AI and Big Data Department(4차산업혁명을 선도하는 글로벌 인재 양성)

학부소개

교육과정
  • 학부소개
  • 교육과정

데이터사이언스 교육과정표
2019학년도 미래기술학부 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)

창의소프트웨어 교육과정표
2019학년도 미래기술학부 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)