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Master Course in Applied Mathematics to Engineering and Finance

Master Course in Applied Mathematics to Engineering and Finance

 

Full-time
Number: M620
Date:
01/01/2001
No. dispatch/concierge: 9220/2012
Date:
09/07/2012
1º Year
Curricular unit Period ECTS
Statistical Experimentation and Data Analysis 1st Semester 6.0
Graphs and Algorithms 1st Semester 4.0
Numerical Methods in Engineering 1st Semester 5.0
Seminar on Applied Mathematics to Engineering and Finance I 1st Semester 3.0
Databases (optional) 1st Semester 6.0
Project Management (optional) 1st Semester 6.0
Innovation and Entrepreneurship (optional) 1st Semester 6.0
Financial Investments (optional) 1st Semester 6.0
Forecasting Methods (optional) 1st Semester 6.0
Image Metrology (optional) 1st Semester 6.0
Process Modelling and Simulation (optional) 1st Semester 6.0
Data Mining (optional) 1st Semester 6.0
Neural Networks (optional) 1st Semester 6.0
Systems of Nonlinear Equations and Numerical Optimization (optional) 1st Semester 6.0
Dynamic Systems (optional) 1st Semester 6.0
Analysis and Risk Management 2st Semester 6.0
Machine Learning 2st Semester 5.0
Operational Research, Planning and Optimization 2st Semester 5.0
Seminar on Applied Mathematics to Engineering and Finance II 2st Semester 3.0
Game Theory and Financial Mathematics 2st Semester 5.0
Multivariate Statistical for Engineering and Finance (optional) 2st Semester 6.0
Data Mining (optional) 2st Semester 6.0
2º Year
Curricular unit Period ECTS
Case Studies 1st Semester 5.0
Seminar on Applied Mathematics to Engineering and Finance III 1st Semester 3.0
Data Warehouse and Analytical Processing (optional) 1st Semester 6.0
Actuarial and Financial Calculus (optional) 1st Semester 6.0
Financial Investments (optional) 1st Semester 6.0
Image Metrology (optional) 1st Semester 6.0
Optimization and Decision Methods in Power Systems (optional) 1st Semester 6.0
Dissertation / Project / Traineeship Annual 46.0

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