Checking date: 09/07/2020

Course: 2020/2021

Applied differential calculus
Study: Bachelor in Computer Science and Engineering (218)


Department assigned to the subject: Department of Mathematics

Type: Basic Core
ECTS Credits: 6.0 ECTS


Branch of knowledge: Engineering and Architecture

Students are expected to have completed
Calculus. Linear Algebra.
- GENERAL COMPETENCES (PO: a) (CGB1): Ability to resolve the mathematical problems that may arise in engineering. Ability to apply knowledge about: linear algebra; differential and integral calculus; differential equations and partial differential equations; numerical methods and numerical algorithmic. - SPECIFIC COMPETENCES: The objective of the course is to provide the student with the necessary tools to understanding the scientific and mathematical principles of Computer Engineering. The LEARNING RESULTS that are acquired in Applied Differential Calculus are of type RA1 (knowledge and understanding). In particular, next section is included (RA1.1.) "Knowledge and understanding of the scientific and mathematical principles of Computer Engineering" The specific competences of the subject have been divided into three sections: KNOWLEDGE (PO a - RA1.1): - Know how to solve linear and nonlinear ordinary differential equations of first order and interpret results. - Know how to solve linear ordinary differential equations of second order. - Know how to calculate Laplace transforms and how to use them to solve differential equations. - Know how to solve systems of linear differential equations of first order. - Understand the concept of Fourier series and using them to solve differential equations. - Know how to use numerical methods to compute approximate solutions of first order non-linear systems of differential equations. SPECIFIC ABILITIES (PO a - RA1.1): - Increase the level of abstraction. - To be able to solve practical problems using differential equations. GENERAL ABILITIES (PO a - RA1.1): - Ability to communicate orally and in writing correctly using signs and the language of mathematics. - Ability to model a real situation described in words by differential equations. - Ability to interpret the mathematical solution of a problem, their reliability and limitations.
Description of contents: programme
1.- First order differential equations: a. Linear equations. b. Separable equations. c. Exact equations. d. Homogeneous equations. e. Qualitative analysis of equations. 2.- Second order differential equations. a. Nonlinear and linear equations. b. Homogeneous and non-homogeneous Linear Equations. c. Reduction of Order. d. Euler-Cauchy Equations. 3.- Laplace transformations: a. Definition. b. Application to differential equations. c. Convolution. 4.- Systems of differential equations: a. Linear and Nonlinear Systems. b. Vector representation. c. Eigenvalues and linearization. 5. Fourier series and separation of variables: a. Basic results. b. Fourier Sine and Cosine Series. c. Applications of Fourier series to differential equations. 6.- Numerical methods: a. Euler method. b. Runge-Kutta method. c. Solution of boundary value problems.
Learning activities and methodology
The subject is bimodal 50% : 1.- Synchronous online teaching in big or aggregate groups. Lectures sessions: 3.0 ECTS credits (PO:a - CGB1 - RA1). 2.- Face-to-face teaching in small groups. Problem sessions: 3.0 ECTS credits (PO:a - CGB1 - RA1).) Office hours: each teacher offers a number of office hours according to the regulations of the Carlos III University. In particular, a minimum of one hour per group with the time schedule compatible with the students.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40
Basic Bibliography
  • Boyce, William E.. Elementary differential equations and boundary value problems . John Wiley & Sons,.
  • Simmons, George Finlay. Differential equations with applications and historical notes 2nd ed.. McGraw-Hill.
  • Zill, Dennis G.. Ecuaciones diferenciales con aplicaciones de modelado . International Thomson.
Recursos electrónicosElectronic Resources *
Additional Bibliography
  • Haberman, Richard . Elementary applied partial differential equations with Fourier series and boundary value problems 3rd ed. Prentice Hall.
  • Gockenbach, Mark S.. Partial differential equations : analytical and numerical methods. SIAM.
  • Kiseliov, Aleksandr I.. Problemas de ecuaciones diferenciales ordinarias . Mir.
  • Weinberger, Hans F. . A first course in partial differential equations with complex variables and transform methods. Dover.
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The course syllabus and the academic weekly planning may change due academic events or other reasons.