연구주제별
거시경제/경영일반
I. 서론 ·············································································································1
II. 이론적 고찰 ·························································································3
1. 빅데이터 ····························································································3
2. 네트워크 중심성 ·············································································5
3. 텍스트마이닝 ···················································································7
4. 의미연결망 분석 ·············································································8
5. 선행연구 ····························································································8
III. 연구설계 ··································································································10
1. 연구범위 ··························································································10
2. 자료수집 및 정제 ·········································································11
3. 분석방법 및 통계패키지 ···························································12
IV. 연구분석 및 결과 ···················································································12
1. 코로나 19 이전 (1기) ·································································12
2. 코로나 19 이후 (2기) ·································································20
3. 코로나 19 이전과 이후 비교 (1기 vs 2기) ························27
V. 결론: 연구결과 요약 및 시사점 ···························································29
1. 연구결과 요약 ··············································································29
2. 시사점 ·····························································································31
참고문헌 ········································································································34
1. 양자컴퓨터 구현
2. 양자컴퓨터 응용 분야
3. 양자컴퓨터의 미래와 시사점
1. 양자컴퓨터의 부상
2. 양자컴퓨터 기본 원리
3. 양자정보처리 및 양자알고리즘
4.1부 정리 및 2부 개요
1. 4차 산업혁명
2. 산업혁명과 세계화의 관계
3. 세계화 4.0 시대 전망
4. 세계화 4.0 시대의 성공을 위한 전제조건
ㅇ 목차
- 서론
- 사회주택의 이해
- 유럽 사회주택 사례분석
- 국내 사회주택 사례분석
- 사회주택 금융지원 방안
- 결론
- 조사배경
- 데이터 경제
- 데이터 경제의 현황
- 데이터 경제의 문제점과 규제방안
- 공공기관의 역할 및 기대효과
ㅇ 목차
- 국내경제 동향 및 전망
- 2017년 채권시장 동향
- 2018년 채권시장 주요 이슈 및 전망
- 연구배경
- 기계학습(Machine Learning)의 이해
- 기계학습의 응용
- 데이터 과학자(Data Scientist)
- 결론 및 시사점
- 연구배경
- 경제적 자본 개요
- 주택연금 리스크
- 미국 HECM 재정추계모형
- 주택연금 VaR 평가 방법
- 결론 및 시사점
ㅇ 핵심단어 : 주택연금, 리스크관리, 경제적 자본, HECM, VaR