Yueting Cui
Visiting Assistant Professor of Accounting
Business and Management Department
RIT Dubai
Yueting Cui
Visiting Assistant Professor of Accounting
Business and Management Department
RIT Dubai
Currently Teaching
ACCT-110
Financial Accounting
3 Credits
An introduction to the way in which corporations report their financial performance to interested stakeholders such as investors and creditors. Coverage of the accounting cycle, generally accepted accounting principles, and analytical tools help students become informed users of financial statements.
FINC-220
Financial Management
3 Credits
Basic course in financial management. Covers business organization, time value of money, valuation of securities, capital budgeting decision rules, risk-return relation, Capital Asset Pricing Model, financial ratios, global finance, and working capital management.
FINC-352
Financial Management II
3 Credits
Advanced course in financial management. Covers project cash-flow analysis, issuance of securities, cost of capital, debt policy, dividend policy, and market efficiency. Throughout, students learn how to estimate and articulate the effect of financial policies.
FINC-420
International Finance
3 Credits
Discusses the problems posed by the international financial environment in which corporations operate. In particular, students learn to quantify and manage risks arising from shifting exchange rates. Other topics include exchange rate systems, international trade finance, international capital budgeting, country risk analysis, and long-term international financing.
FINC-475
Artificial Intelligence (AI) and Finance
3 Credits
Drawing on the rich body of literature in Machine Learning (ML) and Large Language Models (LLMs) developed by Computer Science scholars and Finance professionals (e.g., Vaswani et al., 2017; Kelly et al., 2025 NBER), this course explores the transformative applications of AI-driven technologies in the field of finance. Students will gain a solid foundation in key concepts such as machine learning (including unsupervised learning and supervised learning), natural language processing (NLP), and language models, while examining their practical applications across major financial domains. The curriculum bridges theoretical frameworks with hands-on, task-specific implementations in areas including financial disclosure analysis, ML-based time‑series forecasting, etc. The course also covers ethical considerations, regulatory challenges, and the evolving role of business professionals in an increasingly AI-driven world.