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K2. Identify the basic methodologies of linear algebra; geometry; differential geometry; differential and integral calculus; differential and partial differential equations; numerical methods; numerical algorithm; statistics, and optimization that are applied in engineering.
S1. Solve, through the use of mathematics and statistics, the possible problems that may arise in engineering.
S31. Apply critical thinking using different strategies depending on what needs to be learned and in the context in which it needs to be learned.
It is an introductory course in linear algebra and differential calculus with the purpose of leveling students' mathematical knowledge and laying a firm methodological basis for developing the calculations needed in engineering.
Tecnocampus will provide teachers and students with the digital tools needed to carry out the course, as well as guides and recommendations that facilitate adaptation to the non-contact mode, if necessary.
Topic 1: Vector spaces
Coordinate systems
Euclidean vector space
Generalization of the vector concept
Linear dependence of vectors. Bases
Values and vectors of a square matrix
Topic 2: Systems of linear equations
Operations with matrices
Gauss and Gauss-Jordan method
Definition and properties of determinants
Cramer's rule
Topic 3: Real functions
Definition and graphics
Function transformation
Examples of functions
Limit of a function
Continuity of a function
Topic 4: Derivation of real functions
Definition of derivative
Basic rules of derivation
Concepts associated with the second derivative
Indeterminate forms of limits (Rule of the Hospital)
Topic 5: Sequences and series
Concept of succession
Limit of a succession
Series
Power series
Polynomial approximation of functions
-First (partial) individual exam: 35%
- Second (final) individual exam: 35%
-Individual questions: 30%
If in the partial exam (algebra) the grade was equal to or higher than 5, you can choose to take the whole final exam or just the second part (analysis). If the first part grade was lower than 5, the final exam will be 70% of the grade and the entire subject will be evaluated.
During the course, individual questions will be assessed (minimum 2 per student) that will represent 30% of the final grade (oral exam type)
If in the final exam the grade is not higher than 5, you will have to go to the recovery exam, regardless of the other grades of the course.
The maximum grade that can be obtained in the recovery exam will be 8.
The individual questions will not be able to be recovered.
Important:
Any form of academic fraud will be sanctioned in accordance with the center's assessment regulations. If signs of fraud are detected, including the improper use of generative artificial intelligence tools, the subject's teaching staff may call the student for an individual interview with the aim of verifying their authorship.
Course notes (available on the virtual campus)
Steiner, Erich. Mathematics for applied sciences. Ed. Reverté (Barcelona, 2003) ISBN: 84-291-5159-1
Lay, David C; Murrieta Murrieta, Jesús Elmer. Linear algebra and its applications. Ed. Pearson (3rd ed), 2007. (https://dokumen.tips/download/link/algebra-lineal-y-sus-aplicaciones-3ra-edicion-david-c-lay-56327c66f18ec.html)
M. Krasnov et al. Higher mathematics course for engineers. Ed. look (1990)