By the end of this subject, students will be able to have: 1. Knowledge and understanding of the of the principles of calculus of one variable, underlying their branch of engineering. 2. The ability to apply their knowledge and understanding to identify, formulate and solve problems of the calculus of one variable using established methods. 3. The ability to select and use appropriate tools and methods to solve problems of the calculus of one variable. 4. The ability to combine theory and practice to solve problems of the calculus of one variable. 5. The ability to understanding the methods and procedures of the calculus of one variable, their area of application and their limitations.

RA1.1 Knowledge and understanding of the scientific and mathematical principles underlying their branch of engineering. RA2.1 The ability to apply their knowledge and understanding to identify, formulate and solve engineering problems using established methods. RA5.1 The ability to select and use appropriate equipment, tools and methods. RA5.2 The ability to combine theory and practice to solve engineering problems. CB1 Students have demonstrated possession and understanding of knowledge in an area of study that builds on the foundation of general secondary education, and is usually at a level that, while relying on advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study. CB2 Students are able to apply their knowledge to their work or vocation in a professional manner and possess the competences usually demonstrated through the development and defence of arguments and problem solving within their field of study. CG1 Ability to resolve problems with initiative, creativity decision-making and critical reasoning skills, and to communicate and transmit knowledge, skills and abilities in the Industrial Engineering area. CG11 Capacity to solve mathematic problems arising in engineering. Aptitude for applying knowledge of: linear algebra; geometry; differential geometry; differential and integral calculus; differential equations and partial derivatives: numerical methods; numerical algorithms; statistics and optimization.

UNIT 1: SEQUENCES AND SERIES OF NUMBERS. 1.1. The real line, intervals, inequalities, absolute value, sets in the real line and in the plane. Mathematical induction. 1.2. Sequences of numbers, main notions, limits of sequences, recurrent sequences. Stirling formula and Stolz test. 1.3. Series of numbers, main notions. Tests for convergence for series of positive numbers, absolute and conditional convergence. Leibniz¿s test. UNIT 2: LIMITS AND CONTINUOUS FUNCTIONS. 2.1. Elementary functions, composition of functions, inverse function. Polar coordinates and sketch of graphs of functions. 2.2. Limits of functions, definition, main theorems. Evaluation of limits. 2.3. Continuous functions, properties and main theorems. UNIT 3: DIFFERENTIAL CALCULUS IN ONE VARIABLE 3.1. Differentiation of functions: definition, differentiation rules, interpretation. 3.2. Bernoulli-L'Hôpital rule. Main theorems on differentiation. Extrema of functions. 3.3. Optimization problems with constraints. 3.4. Convexity and asymptotes. Graph of functions. 3.5. Taylor polynomial and series: definition, main theorems. Evalution of limits with Taylor polynomial. Convergence domain for a Taylor series. UNIT 4: INTEGRATION 4.1. Antiderivatives, integration rules, integration by parts and by decomposition in simple fractions. Integration by substitution and other methods to evaluate integrals. 4.2. Definite integral and the fundamental theorem of calculus. Applications of integration: areas, volumes and length. Physical applications of the definite integral.

The docent methodology will include: - Master classes, where the knowledge that the students must acquire will be presented. To make easier the development of the class, the students will have written notes and also will have the basic texts of reference that will facilitate their subsequent work. - Resolution of exercises by the student that will serve as self-evaluation and to acquire the necessary skills. - Small groups classes, in which problems proposed to the students are discussed and developed. - Tutorials.