[Offered: F], This course will present two major applications of differential equations based modeling, and focus on the specific problems encountered in each application area. C O M P U T A T I O N A L M A T H E M A T I C S. A rigorous introduction to the field of computational mathematics. [Offered: F,S] Prereq: AMATH 341/CM 271/CS 371 and MATH 239 or 249; Not open to General Mathematics students. There's also Women in Science, Technology, Engineering, and Mathematics (WiSTEM), a student-run club that welcomes all students (regardless of gender) to promote equality in STEM. Image manipulation and enhancement such as denoising and deblurring. They include issues such as: In the early days, these numerical methods and models and the corresponding software tools were primarily developed by practitioners in the application area (for example, by engineers, scientists, finance graduates). The application of mathematics-inspired computational methods and models has revolutionized these fields and is one of the most significant achievements of the computer age and the data age. In Computational Mathematics you’ll learn to analyze data sets, formulae, and images in ways that help us understand the world around us and predict and influence the future. Scalar first order differential equations, second-order differential equations, systems of differential equations. These specialists must be able to design new algorithms which cope with the computational demands, and to develop robust software to implement these algorithms. CS 371 is intended for students interested in the computational aspects that one would encounter. By alternating school terms and paid co-op work terms throughout your degree, you can explore new career areas and types of employers as your career interests evolve. A course on the fundamentals of nonlinear optimization, including both the mathematical and the computational aspects. The focus is on the interplay between continuous models and their solution via discrete processes. Visit our COVID-19 information website to learn how Warriors protect Warriors. Mathematical Discovery and Invention: A course in problem solving. Bootstrapping, Markov Chain Monte Carlo, and other computationally intensive methods. Change ), You are commenting using your Facebook account. Some other units are lists, recursive data definitions, etc, – Introduction to Computer Science 2: This course builds on the subjects learned in the course “Introduction to Computer Science 1”. These skills are also crucial for progress in academic research in increasingly many fields. [Offered: W], Visualization of high dimensional data including interactive methods directed at exploration and assessment of structure and dependencies in data. University of Waterloo Home | Undergraduate Calendar | Course Description Index | Contact Us ... Students with an average of at least 80% in Honours Mathematics courses in 1A may enrol in STAT 230 in 1B. Dimension reduction methods including multi-dimensional scaling, nonlinear and other methods. Eigenvalue and singular value decompositions. [Offered: F,W], This course studies basic methods for the numerical solution of partial differential equations. Sources of medical images (MRI, CT, ultrasound, PET) as well as reconstruction methods for MRI and CT. To enrol in STAT 231, a grade of at least 50% in STAT 230 is required. The University of Waterloo acknowledges that much of our work takes place on the traditional territory of the Neutral, Anishinaabeg and Haudenosaunee peoples. Between clubs supported by the Waterloo Undergraduate Student Association, sports and recreation, student government, and an incredible range of events, there's something for everyone at Waterloo! Nonlinearities. Comparison of different methods.
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