Universidad Pública de Navarra - Nafarroako Univertsitate Publikoa
Public University of Navarre
Castellano | Euskara | Academic year: 2018/2019 | Previous academic years: 2016/2017 | 2015/2016 | 2014/2015
| Course code: 501206 | Subject title: MATHEMATICS II | ||||
| Credits: 6 | Type of subject: Basic | Year: 1 | Period: 2º S | ||
| Department: Estadística, Informática y Matemáticas | |||||
| Lecturers: | |||||
| ROLDAN MARRODAN, ANGEL TEODORO (Resp) [Mentoring ] | |||||
Contents
Vector functions of several variables.
Ordinary and partial differential equations.
Integral Calculus of functions of several variables. Applications.
Integral Calculus of functions of several variables. Applications.
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.
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
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 inengineering 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- Handle a symbolic processor
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 inengineering 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- Handle a symbolic processor
RESULTADOS DE APRENDIZAJE ENAEE
ENAEE-1: Knowledge and understanding of the scientific and mathematical principles underlying their engineering branch.
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 |
Evaluation
| Learning outcome | Assessment | Weight(%) | Resit assessment |
| R1, R2, R3, R4, R5. ENAEE-1 | Long-answer exam questions | 85% | Yes |
| R1, R2, R3, R4, R5. ENAEE-1 | Individual work | 15% | Yes |
For assessment purposes, the course is divided into three parts:
- Part A (related to lessons 1, 2 and 3) is worth 45%.
- Part B (related to lessons 4 and 5) is worth 40%.
- Individual coursework 15%.
In order to pass the subject the weighted mark of all three parts is not less than 5.
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.
- 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.
- 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.
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.