Computational Finance (also known as Financial Engineering) is a cross-disciplinary field; and comprises of subjects on mathematical finance, numerical methods and computer simulations. Utilizing various methods of applied mathematics (and engineering), practitioners of computational finance aim to value financial instruments (financial derivatives, options, etc.), create optimal portfolios of such instruments, and determine risks of such portfolios (of financial instruments).

Areas where computational finance techniques are employed include:

  • Investment banking,
  • Corporate strategic planning,
  • Securities trading and financial risk management,
  • Derivatives trading and risk management, and
  • Investment management

The list of possible elective courses in this specialized area is not limited to the list below; and the list is expanded on a continuing basis; courses not in the list can be accepted as elective subject to the approval of the student's adviser.

Possible Elective Courses @ METU
  • IAM520 - Financial Derivatives
  • IAM521 - Financial Management
  • IAM522 - Stochastic Calculus for Finance
  • IAM524 - Financial Economics
  • IAM542 - Stochastic Processes
  • IAM550 - Portfolio Optimization
  • IAM554 - Interest Rate Models
  • IAM557 - Statistical Learning and Simulation
  • IAM611 - Numerical Methods for Financial Models
  • IAM612 - Financial Modelling with Jump Processes
  • IAM614 - Methods of Computational Finance
  • IAM615 - Advanced Stochastic Calculus for Finance
  • IAM745 - Special Topics: Stochastic and Deterministic Optimal Control with Applications to Finance
  • IAM747 - Quantitative Finance I
  • IAM749 - Numerical Algorithms with Financial Applications
  • IAM757 - Special Topics: Monte Carlo Methods in Finance and Insurance
  • IAM768 - Special Topics: Methods and Applications of Uncertainty Quantification
  • CENG514 - Data Mining
  • CENG562 - Machine Learning
  • CENG574 - Statistical Data Analysis
  • CENG770 - Advanced Data Mining
  • CENG577 - Parallel Computing
  • CENG576 - Numerical Methods in Optimization
  • CENG793 - Deep Learning
  • CENG785 - Algorithmic Trading and Quantitative Strategies
  • CENG793 - Advanced Deep Learning

Last Updated:
16/02/2020 - 17:14