Fundamentals of Programming and CS for Computational Finance
Course Number: 46901
A foundational course in programming and Computer Science for Computational Finance students. Students will apply Python's core data structures to computational problems, learning to select and combine them effectively for a given task. The course emphasizes fluency in reading code, algorithmic problem solving, top-down design, and producing clear and efficient code. Problems are drawn from mathematical and applied contexts to build the computational thinking skills required for subsequent coursework in the MSCF program. Non-MSCF students may not take this course without written permission from the instructor. To be eligible, you must be a BSCF student, or a graduate student enrolled in an MSCF participating college/department (Stats & Data Science, Tepper, Computer Science Dept.,or Math Sciences). PhD students with relevant research may be eligible with permission from the instructor. and you must satisfy the prerequisites
Concentration: Programming
Semester(s): Mini 1
Required/Elective: Required
Units: 6
Prerequisite(s): MSCF Programming Prep