Course 1 -- Applied Machine Learning
Machine Learning has become an entrenched part of everyday life. The books we buy, the movies we watch, the sports we follow, the driving directions we get are driven by Machine Learning algorithms. It is one of the most exciting fields of computing today. And Machine Learning practitioners are in high demand, with a shortfall of 250,000 data scientists forecast.
At Columbia Engineering, we are fascinated by the possibilities of Machine Learning. We have created the Applied Machine Learning course, in partnership with EMERITUS, to help students across the world apply Machine Learning to improve every aspect of human life.
Going beyond the theory, our approach invites participants into a conversation, where learning is facilitated by live subject matter experts and enriched by practitioners in the field of machine learning.
Start Date: June 13, 2019
End Date: September 5, 2019
Length: 12 weeks
Course fees: $1,400
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Course 2 -- Applied Data Science
Data is the lifeblood of an organization. Competency in programming and a basic understanding of statistics are an essential skill for successfully extracting information and knowledge from data. The goal of this course is to introduce learners to the basics of programming in Python, to introduce you to fundamental concepts in statistics and to give a working knowledge of how to use programs to deal with data. We will then focus on using Python on the entire data analysis process from data acquisition to machine learning with big data and small data. This is an intensive hands-on course that will equip and reward learners with proficiency in data analysis skills. Undergraduate understanding of basic statistics is required for this course.
Start Date: June 27, 2019
End Date: September 19, 2019
Length: 12 weeks
Course fees: $1,400
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Course 3 -- Applied Artificial Intelligence
Artificial Intelligence (AI) is being used extensively to solve real-world complex problems. From driving automobiles to providing virtual assistance, use of artificial intelligence in our day to day lives are projected to increase manifold in the coming years. In fact, as per a survey conducted by PwC, business leaders said they believe AI is going to be fundamental in the future. In fact, 72% termed it a “business advantage”. This advanced course requires an undergraduate knowledge of linear algebra (vectors, matrices, derivatives), calculus, basic probability theory.
Start Date: June 25, 2019
End Date: September 17, 2019
Length: 12 weeks
Course fees: $1,400
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Course 4 - Construction Project Management
The Construction Project Management course will help you understand key construction concepts of project planning and project scheduling. Taught by Prof. Ibrahim Odeh, Senior Lecturer of Civil Engineering and Engineering Mechanics at Columbia Engineering, this course will also cover frameworks for risk management, project development cycles, and technologies for planning and scheduling, such as Building Information Modeling, Virtual Reality, and MS Project.
Start Date: June 20, 2019
End Date: September 12, 2019
Length: 12 weeks
Course fees: $1,800
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