During my time working as a procurement associate in eTEC, a South Korean EPC company that constructs civil buildings and industrial facilities such as petrochemical and power plants, I first learned that data analysis could yield invaluable information data. Part of my work was to estimate procurement budgets for construction projects, which was difficult because the materials and equipment used
learn about the company’s application of data collection and analytics to the turbine. After speaking to its analyst, I learned that sensors were installed to collect real-time data, which enabled GEs data scientists to remotely monitor the equipments performance from a centralized data center and improve its efficiency by optimizing the turbines system. Based on this encounter with GEs smart f
learn about the companys application of data collection and analytics to the turbine. The sensors were installed to collect real-time data, which enabled GEs data scientists to remotely monitor the equipments performance from a centralized data center and improve its efficiency by applying analytical solution to optimize the turbines system. Based on this encounter with the companys smart feature
learn about the company’s application of data collection and analytics to its industrial products. They installed sensors to collect real-time data from their equipment, which enabled GEs data scientists to monitor the equipments performance remotely and improve its efficiency. Based on this encounter with GEs smart features, I began realizing the potency of data science. The connection between
learn about the company’s application of data collection and analytics to the turbine. After speaking to its data scientist, I learned that sensors were installed to collect real-time data, which enabled GEs data scientists to remotely monitor the equipments performance from a centralized data center and improve its efficiency by optimizing the turbines system. Based on this encounter with GEs
the opportunities to learn necessary skills to meet current and future job demands.
▪ Learning은 HRD의 중요한 활용 방법이다.
▪ HRD 활동 시점은 구성원이 조직에 참여할 때부터 수반되어야 한다.
▪ HRD 프로그램은 반드시 변화, 장기적 계획, 조직의 전략, 자원의 효율적 활용 등을 담아내고 있어야 한다.
instrumental aggression)과 적대적 공격성 (hostile aggression)으로 나누었다. 도구적 공격성이란 자신의 욕구를 충족시키거나 다른 목적을 이루기 위한 수단으로 공격행동이 일어나는 것을 말하며, 적대적 공격성은 공격행동의 목적 그 자체가 타인에게 해를 입히는 것에 있다. 즉 도구적 공격성은 목적 지향적이
학습과 기억, 기억상실증과 뇌의 기능
학습과 기억,
기억 상실증과 뇌의 기능
학습 목표
신경계의 여러 부위들이 학습과 기억을 위해 상호작용하는 방식 살펴보기
목차
1.기억의 국재화된 표상
2.기억의 유형
3.해마와 기억상실증
4.다른 유형의 뇌 손상과 기억상실증
학습(learning)이란,
경험으로 인해
학습이론의 분류
학습(learning)이란 강화(reinforcement)된 연습이나 경험의 결과로 발생하는 행동잠재력에 있어서의 비교적 지속적인 변화라 할 수 있다. 여기에서 행동잠재력이란 다른 사고와 행동이나 환경에 대한 반응으로부터 학습된 비교적 영구적인 행동변화를 의미한다.
개인의 행동은 고정되어
be removed from the syllabus. I want to tell you two reasons (or opinions).
First, school is not college preparatory academy. During our lifetime, do we use only some subjects (which are included in the university entry test)? No, we didn't. We will use computers, design some things, grow plants, cook meals, sing a song, play instrument, take exercise and do any other actives in our life.