The Computer Science (CS) Department at Northwestern University is recognized for technical excellence, whole-brain thinking, and highly interdisciplinary research. Northwestern CS equips students ...

The 21-unit MBP curriculum features a unique blend of science, engineering, and business of biotechnology. MBP Students undergo rigorous research training (at least 1,000 total hours) in a research ...

Setting performance goals for the performance year is part of the Performance Excellence process. Performance goals are strategic objectives that guide employees towards fulfilling the requirements of ...

Professor Prem Kumar and his team successfully transmitted quantum information through a fiberoptic cable carrying high-speed ...

Industry veteran David Alexander shared lessons from his career with current students in Northwestern Engineering’s Master of Science in Executive Management for Design and Construction (EMDC) program ...

This course will discuss the selection of member sizes for flexural, compression, and tensile member, design of bolted and weld connections for shear and axial forces; use of AISC Steel Construction ...

Overview of the entrepreneurial process from an engineering perspective. Idea generation, planning, financing, marketing, protecting staffing, leading, growing, and harvesting. Students write start up ...

Prerequisites An understanding of the fundamentals of machine learning and image processing. Students will be expected to read papers that utilize advanced machine learning and image processing ...

Academics OverviewExplore our degrees, programs, courses, and other enrichment opportunities. All Areas of StudyView a chart of all study areas cross-categorized by degree type. Undergraduate Study ...

This course will give an introduction to the theory and practice of analyzing high-throughput RNA sequencing through lectures and hands-on exercises. The basic topics covered will include: 1) the ...

Machine Learning and Artificial intelligence enable the learning of complex nonlinear patterns from high-dimensional datasets. In ESAM we are interested in leveraging or developing new data-driven ...