Pseudocoding Applications in Finance and Banking

Course Description: This course introduces students to the use of pseudocode as a tool for problem-solving and developing algorithms in the finance and banking sectors. Students will learn to design clear, structured pseudocode for real-world financial tasks such as loan amortization, risk analysis, portfolio optimization, and fraud detection. Through practical case studies and coding exercises, the course emphasizes translating complex financial processes into algorithmic steps that can be implemented in any programming language. The course is ideal for students pursuing careers in financial engineering, banking technology, or fintech development. Prerequisites: Basic knowledge of finance and introductory programming. Learning Outcomes: - Understand the fundamentals of pseudocode and algorithm design. - Apply pseudocoding techniques to model financial problems like interest calculations, cash flow analysis, and forecasting. - Develop pseudocode solutions for banking operations including credit scoring, payment systems, and fraud detection. - Translate financial models into algorithmic steps suitable for software implementation.