Course Description
The field of Applied analysis brings together many mathematical topics, such as scientific computing, differential equations, dynamical systems, signal and image analysis, statistical methods, integral transformation, and approximation theory. Applied Analysis focuses on these mathematical disciplines and their application to the real world around us.
Intended Learning Outcomes
CILO-1: Demonstrate the selected advanced topics in Fourier analysis, complex analysis, differential equations, and approximation, etc.
CILO-2: Analyze the scientific computing and differential equations methods used in applied analysis, formulate and solve problems in a compact manner.
CILO-3: Communicate effectively by presenting and explaining the ideas and reults in Applied Analysis.
CILO-4: Stay informed about the latest research and advancements in applied analysis, integrate this knowledge into their own work through self-directed learning and collaboration with experts.