Analysis and Programming Degrees

...numerical discretization of partial differential equations; and probabilistic methods for quantifying the impact of variability. Specific emphasis is given... Learn about: Aerospace Engineering, Fluid Mechanics...

...non-manifold and mixed-dimension boundary representation models, octrees. Robustness of geometric computations. Interval methods. Finite and boundary element...

...discuss their generic properties. A link between materials design, strength and structural behavior at different levels (material, element, structural and system levels)...

...and economic and financial considerations of the drug development process. A multidisciplinary perspective is provided by the faculty, who represent clinical... Learn about: Drug Discovery, Drug Development...

...They form the basis for the analysis of quantitative data in science and engineering. The MATLAB® programming language is used to perform virtual experiments... Learn about: Data analysis...

...The class will use the Python programming language. « Previous | Next » Let's start with the strategic goals of this course: 6.00SC can be summarized with...

...feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language...

...feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language...

...electrical engineering and computer science. « Previous | Next » We have many goals for this course. Our primary goal is for you to learn to appreciate...

...of the textbook for the course, Structure and Interpretation of Computer Programs, 2nd ed., by Abelson, Sussman, and Sussman. Lectures: 2 sessions /...

...time-invariant systems (difference and differential equations, block diagrams, system functions, poles and zeros, convolution, impulse and step responses... Learn about: Signal processing, GCSE Physics...

...measures and analysis techniques for these problems. Lectures: 2 sessions / week, 1 hour / session Recitations: 2 sessions / week, 1 hour / session A strong...

...1 session / week, 1 hour / session Tutorials: 1 session / week, 1 hour / session The following are the major differences between the fall and spring versions... Learn about: Artificial Intelligence...

...Topics covered include: fundamental concepts, functions, and structures of compilers, the interaction of theory and practice, and using tools in building software...

...the interaction of theory and practice, and using tools in building software. The course features a multi-person project on design and implementation...

...2 sessions / week, 1 hour / session Recitations: 2 sessions / week, 1 hour / session Tutorials: 1 session / week, 1 hour / session Welcome to 6.041/6...

...The subject coverage is divided into three parts: The prerequisite is 18.01 Single Variable Calculus. In particular, some familiarity with sequences and series... Learn about: Team Training, GCSE Mathematics, Problem Solving...

...NP-completeness, the power of randomness, cryptography and one-way functions, computational learning theory, and quantum computing. It examines the classes...

...2 sessions / week, 1.5 hours / session Recitations: 1 session / week, 1 hour / session This course is the header course for the Theory of Computation concentration...

...Upon completion of this course, students will be able to do the following: Students who complete the course will have demonstrated the ability to do the following...