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    Theory of Partial Differential Equations
	Name: Theory of Partial Differential Equations
      
      
	Code: MAT14362M
      
      
	6 ECTS
      
      
	Duration: 15 weeks/156 hours
      
      
	Scientific Area:
	
	      
	      
	      	      	  		  	      	  		  	   	      	  	   			   
		  		  Mathematics
	      	
      
      
	Teaching languages: Portuguese
      
            	        	  	   	        	  	   	        	  	   	        	  	   	              
      
	Languages of tutoring support: Portuguese, English
      
                  
	Regime de Frequência: Presencial
      
      
      
            	  Presentation
		     The UC Theory of Partial Differential Equations intends to provide foundations for the study and analysis of this type of equations, either in a theoretical aspect or in an interdisciplinary perspective and of initiation to research, through the study of mathematical models.
		
	  Sustainable Development Goals
Learning Goals
		  		      - Training in the theory of Partial Differential Equations and their applications (interdisciplinarities and initiation to the scientific work).
- Analysis of models (relevance on the nonlinearity, irreversibility, determinism and quantum models; development of the skills of abstraction, creative intuition and critical thinking).
- Literature search and selection of software/hardware (autonomy and communication skills, oral and written exposition of results).
		  		
	  - Analysis of models (relevance on the nonlinearity, irreversibility, determinism and quantum models; development of the skills of abstraction, creative intuition and critical thinking).
- Literature search and selection of software/hardware (autonomy and communication skills, oral and written exposition of results).
Contents
		  		      - Phenomenology and modelling of the Heat Equation. 
- Classification of PDEs and canonical forms.
- Series and Fourier transform. Applications.
- Solutions of the Heat Equation.
- The Burgers Equation.
- Variational methods.
- Energy and entropy methods.
- Main work options: a) Financial Mathematics (Black-Scholes Eq.); b) Applications to Biology (Transport Eqs.); c) Numerical Analysis (Hilbert-Huang Transform).
		  		
	  - Classification of PDEs and canonical forms.
- Series and Fourier transform. Applications.
- Solutions of the Heat Equation.
- The Burgers Equation.
- Variational methods.
- Energy and entropy methods.
- Main work options: a) Financial Mathematics (Black-Scholes Eq.); b) Applications to Biology (Transport Eqs.); c) Numerical Analysis (Hilbert-Huang Transform).
Teaching Methods
		  		      Mentoring of teamwork (with individual assessment); emphasis on applications and problem solving. 
Evaluation: Continuous (the final grade will be the average of the works grades) or Final (oral) examination.
		  		
	  Evaluation: Continuous (the final grade will be the average of the works grades) or Final (oral) examination.
Teaching Staff
- Joaquim Manuel Cunha Correia [responsible]
 
            
    
    
      
            
    
    
      
            
    
    
      
            
    
    
      
            
    
    
      
            
    
    
      
            
    
    
      
            
    
    
      
            
    
    
      
            
    
    
      
            
    
    
      