- 来自www.coursera.org
Supply Chain Planning
课程
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英语
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课程详情
教学大纲
- Week 1 - Simple Forecasting Methods, Naive Forecast and Cumulative Mean
Welcome to the exciting world of planning! This module introduces you to the professor who is teaching the courses in the Supply Chain Management Specialization. You will also construct forecasting models that enable you to predict future demand. By the end of... - Week 2 - Forecast Accuracy and Moving Average
In this module, learners will cover two more sophisticated forecasting methods, the moving average and exponential smoothing. - Week 3 - Exponential Smoothing and Forecast Selection
In this module, you will master one more forecasting method - exponential smoothing. In addition, you will learn how to pick the best forecasting approach and what to do with the forecast once it is implemented. - Week 4 - Supply Chain Planning
In this module you will put your new forecasting skills to the test. You will analyze a real-life dataset and make recommendations on the different forecasting methods.
先决条件
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讲师
Rudolf Leuschner, Ph.D.
Assistant Professor
Department of Supply Chain Management
编辑
Rutgers, The State University of New Jersey (/ˈrʌtɡərz/), commonly referred to as Rutgers University, or RU, is an American public research university in New Jersey. It is the largest institution of higher education in New Jersey.
平台
Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。
Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。
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