Overview of the Mathematics, Physics and Statistics Division
The Mathematics, Physics and Statistics Division plays a crucial role in providing foundational knowledge and advanced skills essential for engineering and applied science disciplines. It emphasizes the application of principles of mathematics, physics and statistics to solve complex engineering and applied science problems.
The division aims to foster a rigorous understanding concepts of mathematics, physics and statistics while promoting innovative research and collaboration across engineering and applied science fields. It seeks to prepare students for successful careers in engineering and applied science areas.
– Graduate Programs:
– Master of Science in Computational Science
– Ph.D. in Computational Science
– Calculus and Differential Equations: Fundamental concepts that underpin engineering and applied science analysis.
– Linear Algebra: Essential for understanding systems of equations and transformations.
– Probability and Statistics: Critical for data analysis, quality control, and risk assessment in engineering.
– Numerical Methods: Techniques for approximating solutions to mathematical problems that cannot be solved analytically.
– Mathematical Modeling: Developing mathematical representations of real-world systems to predict behavior and optimize performance.
-General Physics: Fundamental concepts that underpin engineering and applied science.
-Biophysics: Principles and laws of physics applied in living organisms.
-Electricity and Magnetism: Conceptualization of electricity and electro-magnetism in Science and Engineering.
The division is involved in various research areas, including:
– Computational Mathematics
– Optimization Theory
– Mathematical Modeling
– Cryptography
-Nuclear Physics
-Energy storage
-Computational physics
-Space science
-Nano physics
The Mathematics, physics and Statistics Division is integral to the College of Engineering and college of Natural and Applied Sciences, providing students with the mathematics, physics and statistics foundation necessary for tackling engineering and applied science challenges. Through a combination of rigorous coursework, research opportunities, and expert faculty, the division prepares students for impactful careers in engineering and applied science.
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