Course code: 251201 | Subject title: MATHEMATICS II | ||||
Credits: 6 | Type of subject: Basic | Year: 1 | Period: 2º S | ||
Department: Mathematics and Computer Engineering | |||||
Lecturers: |
Real and vector functions in several variables. Differentiability. Extrema and inflection points. Constrained extrema and Lagrange multipliers. Taylor polynomial
Integration in several variables, change of variables, non-cartesian coordinates, scalar and vector line integrals, fluxes. Fundamental Vector Calculus Theorems
Ordinary differential equations. Initial value problems. Linear differential equations. Basic solution techniques. Applications
CG3: Knowledge of basic and technological subjects to have the ability to learn new methods and theories, and versatility to adapt to new situations
CG4: Analysis and synthesis ability
CB1: Ability to solve mathematical problems in engineering. Ability to apply theoretical knowledge on linear algebra, differential geometry, calculus, differential equations, numerical methods, algorithms, statistics and optimization
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Outcomes learning | Evaluation System | Grade Weight | Do-over? |
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Midterm exam | 50 | Yeap |
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Homework | 20 | Yeap |
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Midterm exam | 40 | Yeap |
There will be two written midterm exams which will cover the main parts the subject has been divided: Differential and Integral Vector Calculus and Ordinary Differential equations. These exams will count for 50% and 30% respectively of the total grade. There is also a homework assignment on selected topics of the first part of the course which count for the remainder 20%. A minimum grade of 3 is needed to pass the exam. Otherwise, the final grade will be the minimum between 4.9 and the average obtained from these exams.
If the student fails to pass the course following the ordinary path described above, he/she can apply for an extraordinary call examination which consists in a unique final exam. The exam will be structured as this subject: It will be divided into three parts (Differential, Integral calculus and Differential equations) which will count for the same ratios, 70% and 30%, in the final grade.
Students can use for the exams, notes and any book he/she considers appropriate. Programmable calculators and electronic devices such as laptops, tablets, and smartwatches are banned.
(Updated information on timetable and venue for the exams can be found at http://www.unavarra.es/ets-industrialesytelecos/estudios/grado/grado-en-ingenieria-en-disenio-mecanico-campus-de-tudela/periodos-de-evaluacion?submenu=yes)
Sets in Rn. Real and vector functions in several variables. Limit. Continuity
Partial derivatives. Gradient. Chain rule. Inverse and implicit function. Taylor polynomial. Extrema and saddle points. Constrained extrema and Lagrange multipliers
Double integral. Triple integral. Non-cartesian coordinates and change of variables
Scalar and vector path integrals. Flux. Green, Stokes and Divergence Theorem. Potential theory.
Definition and first properties. Equations of first order. Initial value problem. Differential linear equations of order n. Applications
Access the bibliography that your professor has requested from the Library.
Basic bibliography:
Complementary Bibliography
( Library Catalogue can be consulted at https://biblioteca.unavarra.es/abnetopac/abnetcl.cgi/O7164/ID7e647614?ACC=101)
Classroom
(Updated information on timetables and classrooms can be found at http://www.unavarra.es/ets-industrialesytelecos/estudios/grado/grado-en-ingenieria-en-disenio-mecanico-campus-de-tudela/horarios?submenu=yes)