Applied Mathematics 2 is an advanced course that builds upon the foundational concepts of Applied Mathematics 1, encompassing multivariable calculus, differential equations (including partial differential equations), vector calculus, complex analysis, and advanced linear algebra. It equips students with the mathematical sophistication required to tackle complex problems across various disciplines. From modeling intricate physical phenomena in physics and engineering using multivariable calculus and PDEs to understanding complex numbers and functions for applications in electrical engineering and quantum mechanics through complex analysis, this course empowers students with a deeper understanding of mathematics and its practical applications. Moreover, advanced statistical techniques and hypothesis testing in probability and statistics provide them with the tools to extract meaningful insights from data and make informed decisions. Applied Mathematics 2 serves as a pivotal bridge between foundational mathematics and specialized fields, preparing students for more advanced coursework and research in scientific, engineering, and quantitative domains.