Public University of Navarre



CastellanoEuskara | Academic year: 2016/2017 | Previous academic years:  2015/2016  |  2014/2015 
Bachelor's degree in Agricultural, Food and Rural Environment Engineering at the Universidad Pública de Navarra
Course code: 501206 Subject title: MATHEMATICS II
Credits: 6 Type of subject: Basic Year: 1 Period: 2º S
Department: Mathematics and Computer Engineering
Lecturers:
ROLDAN MARRODAN, ANGEL TEODORO (Resp)   [Mentoring ]

Partes de este texto:

 

Module/Subject matter

Mathematics

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Contents

Funciones, límites y continuidad. Conceptos básicos sobre funciones escalares o vectoriales de una o varias variables reales. Funciones elementales. Conjuntos de nivel. Límites. Continuidad de una función en un punto. Propiedades de funciones continuas.

Espacios vectoriales sobre R: Subespacios. Base y dimensión

Cálculo vectorial: campos vectoriales en R2 y R3. Divergencia y rotacional, integrales de línea, campos conservativos, función potencial, teorema de Green, integrales de flujo, teorema de Stokes, teorema de divergencia. Circulación y flujo.
Cálculo diferencial en R: derivada de una función en un punto, derivación direccional y parcial, matriz jacobiana y vector gradiente, diferenciabilidad, regla de la cadena, derivadas parciales de orden superior, propiedades de las funciones derivables, extremos relativos y absolutos, polinomios de Taylor, funciones implícitas e inversas. Extremos relativos, absolutos y condicionados.

 

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Descriptors

Differential and integral calculus in several variables. Differential equations.

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General proficiencies

  • CB1: Students are able to demonstrate they have acquired knowledge and understanding in a field of study based on the basic foundations gained within their general secondary education together with the support of advanced textbooks and aspects of the latest advances in the field.
  • CG2: Adequate knowledge of the physical problems, technologies, equipment, and water and energy supply systems, the limits imposed by budgetary factors and building regulations, the relationships between installations and/or buildings with farms, agro-food industries and spaces related to gardening and landscaping with their social and environmental surroundings, as well as the need to relate those surroundings from that environment with human needs and environmental protection.

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Specific proficiencies

  • CE1: Ability to solve mathematical problems that may arise in engineering. Aptitude for applying knowledge towards: linear algebra, geometry, differential geometry, differential and integral calculus, differential equations and partial derivatives, numerical methods and numerical algorithmic methods, statistics, and optimization

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Learning outcomes

R1- Operate with elementary functions (polynomial, rational, trigonometric, logarithmic, exponential...); know the fundamental properties of these functions and become familiar with the ideas of limit, continuity and derivability.
R2 - Work with analytical expressions and know how to simplify them.
R3 - Know geometric concepts related to functions of one and several variables: function graphs, curves and level surfaces, parameterized curves and surfaces.
R4- Identify and solve different integrals: single, double, triple, surface, line, their physical origin and their use in engineering problems.
R5- Know and apply fundamental theorems of calculus: Green, Stokes and Divergence.
R6- Identify and solve simple differential equations: first order and second order with constant coefficients equations.
R7- Manejar un procesador simbólico a nivel de usuario

RESULTADOS DE APRENDIZAJE ENAEE

ENAEE-1: Conocimiento y compresión de los principios científicos y matemáticos que subyacen a su rama de ingeniería.


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Methodology

The course consists of 6 credits, distributed in 4.5 theoretical and 1.5 practical credits. The whole-class theoretical lessons include the description of basic concepts and methods. The small-group practical sessions are devoted to the solution of problems and applications. Finally, teacher-assisted tutoring is available for students all along the semester in order to solve possible queries and questions arising in the study of the subject. The following table shows the distribution of the activities in the course:
 

Methodology - Activity  On-site hours  Off-site hours
A-1: Theoretical lessons 41  
A-2: Practical lessons 15  
A-3: Discussion 4  
A-6: Individual study    80
A-7: Exams and assessment 4  
A-8: Individual tutoring  10  
     
 TOTAL 70 80

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Evaluation

 

Resultado de aprendizaje Sistema de evaluación Peso (%) Carácter recuperable
R1, R2, R3, R4, R5, R6, R7  Written exams and assessments after each unit     35%  No
 R1, R2, R3, R4, R5, R6, R7  Final exam  65%  Yes

 

 

The contents of the course are assessed by means of written exams and assessments. There is a continuous assessment which involves the 35% of the final mark. The rest of the contents of the subject will be assessed in a final exam, and will involve the 65% of the final mark.

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Agenda

  • Functions, limits and continuity in Rn. Basic concepts in scalar and vector functions of several variables. Limits. Continuity: definition and local and global properties.
  • Differential calculus in Rn. Directional and partial derivatives. Jacobian matrix and gradient vector. Differentiability. Chain rule. Higher-order derivatives. Hessian matrix. Taylor series. Relative extrema. Constrained optimization: the theorem of Lagrange multipliers. Absolute extrema on closed bounded regions.
  • Integral calculus in Rn. Riemann integral. Elementary regions. Fubini's theorem. Change of variable theorem. Polar, cylindrical and spherical coordinates. Line and surface integrals.
  • Vector calculus. Vector fields. Divergence and curl. Line integrals. Conservative fields. Potential function. Flux integrals. Fundamental theorems of vector calculus.
  • Ordinary differential equations. Basic concepts of differential equations. First-order ordinary differential equations. Existence and uniqueness of solution. Some elementary integration methods. Higher-order linear differential equations. Systems of linear differential equations. Applications.

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Bibliography

Access the bibliography that your professor has requested from the Library.


  • R.A. Adams. Calculus: a complete course. Addison Wesley.
  • M. Braun. Differential equations and their applications: an introduction to applied mathematics. Springer-Verlag.
  • E. Kreyszig. Advanced engineering mathematics. John Wiley & Sons.
  • J.E. Marsden, A.J. Tromba. Vector calculus. W.H. Freeman.

Spanish textbooks:

  • R.E. Larson, R.P. Hostetler. Cálculo y geometría analítica. McGraw-Hill.
  • R.K. Nagle, E.B. Saff, Ecuaciones diferenciales y problemas con valores en la frontera. Pearson Educación.
  • S.L. Salas, E. Hille, G.J. Etgen. Calculus: una y varias variables. Reverté.
  • D.G. Zill. Ecuaciones diferenciales con aplicaciones de modelado. Thomson.

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Languages

English

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Location

Arrosadia Campus

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