Data-X: A New Course

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Starting in Spring 2017, Prof. Ikhlaq Sidhu will offer a new special topics course named Data-X.  The course supports the IEOR department’s focus in data-driven systems and analytics; and it covers the tools and skills that are being used to reinvent today’s applications and enterprises.


Data-X: A Course on Data, Systems and Signals is a technical course that teaches students to use foundational mathematical concepts and current computer science tools to create data-related applications and systems for real world problems.


Computer science tools for this course include Python with NumPy, SciPy, pandas, SQL, NLTK, and TensorFlow. Math concepts include filters, prediction, classification, transforms, Bayesian, maximum likelihood, Markov state space, network graphs, and an introduction to deep learning.  The tools will be presented in applications common to data flow organization of Collect, Combine, Store, Use, Analyze, and Visualize.

Thursdays: 4:00 to 7:00 pm
Spring 2017, 3 units, limited to 55 students
  • Undergrad: 190D, Class Number 33036
  • Grad Section: Class Number INDENG  290 – 003, 33258
  • Prerequisite: Interested students should have working knowledge of Python in advance of the class, and also should have completed a fundamental probability or statistics course.