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CME594 Introduction to Data Science

CME594 Syllabus Winter 2017 1 CME594 Introduction to data Science Instructor: Professor S. Derrible, 2071 ERF, Office hours: open door policy Hours: Thursday: 5:00 7:30 Location: SH 103 Summary: This course introduces students to techniques of complexity Science and machine learning with a focus on data analysis. One new technique is covered every week, including: scaling laws, principal component analysis, hierarchical clustering, decision tree learning, neural networks, network Science , agent-based modeling and text mining. The main assessment is a final paper where the students are asked to pick any data set (preferably from their own research) and apply one or multiple techniques from the course. No programming experience is required, but the course includes Python coding. Objectives: This course aims to provide students with introductory knowledge of several data Science techniques that can be used for data analysis.

CME594 Introduction to Data Science Instructor: Professor S. Derrible, 2071 ERF, derrible@uic.edu ... data science techniques that can be used for data analysis. The material ... in Introduction to Data Mining, Pearson, pdf of chapter and slide

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CME594 Introduction to Data Science

derrible.people.uic.edu

CME594 Introduction to Data Science Instructor: Professor S. Derrible, 2071 ERF, derrible@uic.edu ... data science techniques that can be used for data analysis. The material ... Science from the Bottom Up”, MIT Press, Cambridge, MA.

  Introduction, Data, Sciences, Data science, Cme594 introduction to data science, Cme594

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