COURSE DETAIL
This course introduces the essentials of optimization methods, including models, solution methods, and programming techniques. Topics cover linear programming, integer linear programming, nonlinear programming, and convex programming. It will highlight applications of these methods in Fintech, such as asset allocation, portfolio management, and data analysis.
COURSE DETAIL
This course provides a foundation in computational thinking. It assumes no previous programming background, but requires use of digital devices, such as tablets and smart phones, for a range of tasks (e.g. social networking, reading, essay writing, etc.). The course uses Python as the programming medium and uses real world examples from a variety of domains to motivate understanding.
Computer Science Abroad
Take your computer science studies international to design, build, and deploy software and systems that solve real‑world problems—integrating algorithms, data structures, systems programming, human–computer interaction, and AI/ML across cultural and regulatory contexts. International study immerses you in diverse datasets, user needs, and tech ecosystems, expanding how you model, prototype, and evaluate applications for performance, reliability, accessibility, and security. You’ll advance in areas such as machine learning, data science, distributed systems, databases, and UX while tackling projects in predictive modeling, responsible AI, cybersecurity, and inclusive product design. Build your portfolio through hackathons, research labs, internships, and open‑source collaboration—strengthening engineering rigor, ethical reasoning, and cross‑cultural teamwork for roles across software, fintech, health tech, civic tech, and beyond.