Temple University 3 credits CIS
This graduate course examines the intersection of modern artificial intelligence techniques and financial applications, with a particular emphasis on Large Language Models (LLMs) and agent-based frameworks. Students will learn to design, implement, and evaluate AI systems that can analyze financial data, automate trading decisions, assess risk, and ensure regulatory compliance. The course combines theoretical foundations with hands-on projects using real-world financial datasets and industry-standard tools. Note: To register for this course, students should have earned a grade of "C-" or better in college-level Python Programming, Computational Probability and Statistics, Design and Analysis of Algorithms, and Machine Learning.
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