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MATH-448: Statistical analysis of network data

A first course in statistical network analysis and applications.

MATH-260(a): Discrete mathematics

Study of structures and concepts that do not require the notion of continuity. Graph theory, or study of general countable sets are some of the areas that are covered by discrete mathematics. Emphasis

CS-450: Algorithms II

A first graduate course in algorithms, this course assumes minimal background, but moves rapidly. The objective is to learn the main techniques of algorithm analysis and design, while building a reper

EE-626: Graph representations for biology and medicine

Systems of interacting entities, modeled as graphs, are pervasive in biology and medicine. The class will cover advanced topics in signal processing and machine learning on graphs and networks, and wi

MATH-663: Statistical consulting and collaborations

Analyzing data for a collaborator or client is very different from working on your own research project ; not only do you need competences in statistics, you must also ensure good communication (both

ENV-630(a): EESS - CESS Seminar Course - option 1 (FALL)

Seminar course which allows students to attend, critically examine, and review civil/environmental seminar. - Practice transferable skills, including active listening and broad scientific critical thi

ENV-630(b): EESS - CESS Seminar Course - option 2 (FALL)

ENV-630(c): EESS - CESS Seminar Course - option 1 (SPRING)

ENV-630(d): EESS - CESS Seminar Course - option 2 (SPRING)

CS-250: Algorithms I

The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, ma