Checking date: 20/06/2022

Course: 2022/2023

Complex variable and transforms
Study: Bachelor in Engineering Physics (363)


Department assigned to the subject: Department of Mathematics

Type: Compulsory
ECTS Credits: 6.0 ECTS


Requirements (Subjects that are assumed to be known)
Calculus II Differential Equations
Skills and learning outcomes
Description of contents: programme
1. Complex functions Complex numbers. Complex functions. Limits. Continuous functions. Derivatives and Cauchy-Riemann equations. Armonic functions. 2. Elementary functions Polynomials. Exponential function. Trigonometric functions. Hyperbolic functions. Logarithm. Complex exponents. Inverses of trigonometric and hyperbolic functions. 3. Integrals in the complex domain. Contour integrales. Cauchy-Goursat theorem. Cauchy formula. Morera theorem. Bounds for analytic functions. The fundamental theorem of algebra. 4. Series Sequences and convergence criteria. Power series. radius of convergence. Taylor series. Laurent series. Analytic continuation. Power series and differential equations. Frobenius theory. Special functions of Mathematical Physics 5. Residues and poles Zeros of a function. Singularities. Poles. Residue formula. Residue theorem. Real integrals of trigonometric functions. Real improper integrals. Integrals on branch cuts. Summations of series by using residue theorem. 6. Fourier series Fourier series and their application to periodic signals. Square integrable functions. Pointwise convergence. Uniform convergence. Application to differential and partial differential equations. 7. Fourier transform. Definition and properties. Inverse Fourier transform. Representation of aperiodic signals. Discrete time Fourier transform. 8. Laplace transform Definition, properties and convergence. Inverse Laplace transform. Derivatives, integrals, and convolution. Applications to systems of linear differential equations. Transfer function. 9. z-Transform Convergence region and other properties. Inverse z-transform. Transforms between continuous and discrete time signals. Applications to linear difference equations.Transfer function. 10. Linear invariant-time systems Linear time-invariant (LTI) systems. Analysis of LTI systems with transforms.
Learning activities and methodology
AF1. THEORETICAL-PRACTICAL CLASSES. Knowledge and concepts students mustacquire. Receive course notes and will have basic reference texts.Students partake in exercises to resolve practical problems. It entails 44 hours with an 100% on-site. AF2. TUTORING SESSIONS. Individualized attendance (individual tutoring) or in-group (group tutoring) for students with a teacher.Subjects with 6 credits have 4 hours of tutoring/ 100% on- site attendance. AF3. STUDENT INDIVIDUAL WORK OR GROUP WORK.Subjects with 6 credits have 98 hours/0% on-site. AF9. FINAL EXAM. Global assessment of knowledge, skills and capacities acquired throughout the course. It entails 4 hours/100% on-site MD1. THEORY CLASS. Classroom presentations by the teacher with IT and audiovisual support in which the subject`s main concepts are developed, while providing material and bibliography to complement student learning MD2. PRACTICAL CLASS. Resolution of practical cases and problem, posed by the teacher, and carried out individually or in a group MD3. TUTORING SESSIONS. Individualized attendance (individual tutoring sessions) or in-group (group tutoring sessions) for students with teacher as tutor. Subjects with 6 credits have 4 hours of tutoring/100% on-site. MD6. LABORATORY PRACTICAL SESSIONS. Applied/experimental learning/teaching in workshops and laboratories under the tutor's supervision.
Assessment System
  • % end-of-term-examination 40
  • % of continuous assessment (assigments, laboratory, practicals...) 60
Calendar of Continuous assessment
Basic Bibliography
  • A. Papoulis, . Signal Analysis. . McGraw Hill International Editions,. 1984
  • B. Fornberg, C. Piret. Complex Variables and Analytic Functions: An Illustrated Introduction. SIAM. 2019
  • D. Pestana, J. M. Rodríguez, F. Marcellán, . Curso práctico de variable compleja y teoría de transformadas. . Pearson, . 2014
  • J.W. Brown, R. V. Churchill,. Complex Variables and Applications.. McGrawHill,. 2009
  • N. Levinson, R. M. Redheffer,. Complex Variables.. McGraw Hill,. 1989
Additional Bibliography
  • A. V. Oppenheim, A. S. Willsky, I. T. Young, . Signals and Systems. . Prentice Hall International Editions. . 1983
  • I. Volkovyski, G. Lunts, I. Aramanovich. Problemas sobre la teoría de funciones de variable compleja. Mir. 1972
  • J. Bruna, J. Cufí, . Complex Analysis, . EMS Textbooks in Mathematics. European Mathematical Society . 2013
  • J. G. Proakis, D. G. Manolakis. Introduction to Digital Signal Processing. . Macmillan Publishing Company. 1988
  • P. Henrici, . Applied and Computational Complex Analysis (3 volúmenes). . Wiley Classics Library. Wiley Interscience. . 1993

The course syllabus may change due academic events or other reasons.