Description This Supply Chain Fundamentals course is part of the MITx MicroMasters Credential in Supply Chain Management, offered by #1 ranked SCM Master’s program at the Massachusetts Institute of Technology.The CTL.SC1x Supply Chain Fundamentals course provides the foundational skills for supply chain management and logistics. You will learn how to develop and apply analytic tools,…
Description This Supply Chain Design course is part of the MITx MicroMasters Credential in Supply Chain Management, offered by #1 ranked SCM Master’s program at the Massachusetts Institute of Technology. CTL.SC2x Supply Chain Design covers all aspects involved in the design of supply chains for companies and organizations anywhere in the world. The course is…
Description Supply Chains are complex systems involving multiple firms and organizations with different goals and objectives. Additionally, there are external forces and trends that can impact (positively or negatively) a supply chain’s efficiency and effectiveness. Understanding the dynamics and risks within supply chains, both large and small, is key to being a successful supply chain…
Description There are underlying fundamental principles and concepts that apply to all supply chains, which can be expressed in relatively straightforward models. However, to actually implement them across a real supply chain requires the use of technology across multiple systems. Supply chains have a long history of using technology to improve efficiency and effectiveness. The…
Description This capstone exam is the final part of the MITx MicroMasters Program in Statistics and Data Science. Complete the four courses in this program and take this virtually-proctored exam to earn your MicroMasters credential and demonstrate your proficiency in data science or accelerate your path towards an MIT PhD or a Master’s at other…
Description This MITx course was developed in collaboration with HarvardX and is co-taught by MIT, Harvard, and Duke historians. You will examine Japanese history in a new way—through the images created by those who were there—and the skills and questions involved in reading history through images in the digital format. The introductory module considers methodologies…
Description Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk. As a discipline, machine learning tries to design and understand…
Description Read fully to understand the verified-certificate option. Join Professor Eric Lander and the MITx Biology team in an exciting learning experience available for free to all enrolled learners. The 7.00x Introductory Biology course materials are available for exploration and completion by registering as an auditor or verified-track learner, including video, interactive problem sets, and…
Description Do you want to prepare for medical school, study a STEM field, become a research scientist, or transition to a career in the booming biotechnology industry? Or maybe you just want to understand the chemical reactions that govern life itself. Join Professor Yaffe, an MIT professor and practicing surgeon, as he guides you through…
Description Do you have an interest in biology and quantitative tools? Do you know computational methods but do not realize how they apply to biological problems? Do you know biology but do not understand how scientists really analyze complicated data? 7.QBWx: Quantitative Biology Workshop is designed to give learners exposure to the application of quantitative…