Checking date: 28/06/2021

Course: 2021/2022

Linear Algebra
Study: Bachelor in Applied Mathematics and Computing (362)


Department assigned to the subject: Department of Mathematics

Type: Basic Core
ECTS Credits: 6.0 ECTS


Branch of knowledge: Engineering and Architecture

Requirements (Subjects that are assumed to be known)
It is not expected to have completed any subject since this is a first term/first year subject.
Skills and learning outcomes
Description of contents: programme
1. Complex numbers 2. Systems of linear equations 3. Matrix algebra 4. Determinants 5. Vector spaces in applied settings 6. Linear transformations 7. Inner product spaces: norms and orthogonality 8. Orthogonal and unitary matrices 9. QR factorization
Learning activities and methodology
LEARNING ACTIVITIES AND METHODOLOGY THEORETICAL-PRACTICAL CLASSES. [44 hours with 100% classroom instruction, 1.76 ECTS] Knowledge and concepts students must acquire. Students receive course notes and will have basic reference texts to facilitate following the classes and carrying out follow up work. Students partake in exercises to resolve practical problems and participate in workshops and evaluation tests, all geared towards acquiring the necessary capabilities. TUTORING SESSIONS. [4 hours of tutoring with 100% on-site attendance, 0.16 ECTS] Individualized attendance (individual tutoring) or in-group (group tutoring) for students with a teacher. STUDENT INDIVIDUAL WORK OR GROUP WORK [98 hours with 0 % on-site, 3.92 ECTS] FINAL EXAM. [4 hours with 100% on site, 0.16 ECTS] Global assessment of knowledge, skills and capacities acquired throughout the course. METHODOLOGIES 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. PRACTICAL CLASS. Resolution of practical cases and problems, posed by the teacher, and carried out individually or in a group. TUTORING SESSIONS. Individualized attendance (individual tutoring sessions) or in-group (group tutoring sessions) for students with a teacher as tutor.
Assessment System
  • % end-of-term-examination 50
  • % of continuous assessment (assigments, laboratory, practicals...) 50
Calendar of Continuous assessment
Basic Bibliography
  • B. Noble, J.W. Daniel. Applied Linear Algebra. Prentice-Hall. 1988
  • C.D. Meyer. Matrix Analysis and Applied Linear Algebra. SIAM. 2000
  • D.C. Lay, S.R. Lay and J.J. McDonald. Linear Algebra and its Applications, 5th edition. Pearson. 2016
  • G. Strang. Introduction to Linear Algebra. Wellesley-Cambridge Press. 2016
  • S.R. García and R.A. Horn. A Second Course in Linear Algebra. Cambridge University Press. 2017
Additional Bibliography
  • P. Lancaster and M. Tismenetsky. The Theory of Matrices with Applications, 2nd edition. Academic Press, Inc.. 1985
  • R.A. Horn and C.R. Johnson. Matrix Analysis, 2nd edition. Cambridge University Press. 2013

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