CHEM5649 (Numerical Strategies and Data Analytics for Chemical Sciences) course reviews and ratings at Northeastern (NEU). Compare professors with RateMyProfessor reviews.
Introduces a broad range of numerical methods for solving large-scale, data-driven problems that arise in chemical engineering, chemistry, biochemistry, and other chemical sciences. Offers students an opportunity to obtain a detailed understanding of the derivation, analysis, and use of these numerical methods and learn how these lay the foundations to machine learning techniques. Topics include numerical programming logic, linear and nonlinear algebraic equations, polynomial fitting, numerical calculus, optimization techniques, and large-scale data analysis. Applies to a broad field of chemical and biochemical sciences, where large-scale multivariate data analyses and pattern extraction are key components.
Data updated October 2026.