식품공학 길라잡이

목차


1장 식품공학의 현재 ·············································································8
1.1. 식품공학과에서는 무엇을 배우는가? ··························································9
1.2. 시기별 식품공학 전공 공부방법 ·····························································13
1.3. 식품공학과 졸업 후 취업 전망 ······························································32
1.4. 식품공학과 대학원 ············································································46
1.5. 식품공학과의 자격증 ··········································································67
1.6. 식품공학과에서의 기타 활동 ·································································73
1.7. 챕터 맺음말 ····················································································75

2장 식품공학의 미래 ············································································76
2.1. 식품 데이터 공학 (식품공학과 인공지능) ··················································77
2.1.1 4차 산업 혁명과 데이터의 시대 ·························································77
2.1.2. 데이터의 중요성 ············································································80
2.1.3 식품 산업에서의 인공지능 및 빅데이터 활용 방안 ·····································83
2.1.4. 소비자 조사 ··················································································85
2.1.4.1. 조사 방법 ··················································································85
2.1.4.2. 표본 오차 ··················································································88
2.1.5. SNS 빅데이터와 텍스트 마이닝 ···························································91
2.1.6. 데이터 시각화 및 분석 ·····································································93
2.1.7. 그 외의 데이터 수집 및 활용법 ··························································99
2.1.7.1. 실제 연구 사례 1.NAVER shopping API ·······································100
2.1.7.2. 실제 연구 사례 2-Kakao web scrapping ······································106
2.1.8. 유통 및 물류 시스템 ·····································································109
2.1.8.1. 유통 및 물류 시스템의 발전 단계 ···············································109
2.1.8.2. 유통 및 물류에서 빅데이터 기반의 인공지능 활용 ····························111
2.1.9. 연구 개발과 인공지능 ····································································114
2.1.9.1 인공지능의 정의와 역사 ····························································114
2.1.9.2 인공지능의 요소와 활용 분야 ·····················································120
2.1.9.3 인공지능의 특이점 ··································································122
2.1.9.4 인공지능과 인간 ·····································································125
2.1.9.5 인공지능 이해하기 ··································································129
2.1.9.6. 딥러닝 개념의 이해 ································································135
2.1.9.7. 인공지능 학습의 종류 ······························································138

2.2 식품 기기 설계 및 데이터 취득법 ·························································147
2.2.1. 아이디어 제안서 ···········································································148
2.2.2. 발효기 컨셉 ················································································149
2.2.3. 기구 설계 및 제작·········································································150
2.2.4. 하드웨어 제작···············································································151
2.2.5. 소프트웨어 구성 ···········································································154
2.2.6. 특허 출원····················································································157

3장 4차 산업혁명과 식품 안전·····························································160
3.1. 식품 안전 관련 통계 및 연구 현황 ·······················································161
3.1.1. 국내 식중독 통계 ·········································································161
3.1.2. 식품 안전 연구 현황 ·····································································165
3.1.2.1. 식중독 미생물 검출법 ··································································165
3.1.2.2. 식중독 미생물 제어법 ································································167
3.2. 빅데이터/인공지능을 적용한 식품 안전 확보 ···········································173
3.2.1. 식품과 빅데이터 ···········································································173
3.2.2. 인공지능과 식품안전 ·····································································174
3.2.2.1 데이터 수집에서부터 도식화까지 ·····················································174
3.2.2.2 기존에 보고된 연구 및 적용 사례 ····················································177
3.2.2.3 미생물 증식 데이터의 활용 방안 ·····················································189
3.3. 챕터 맺음말 ··················································································193

4. 참고문헌··························································································197