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Presentation
Presentation
Calculus II develops the fundamental concepts of multivariable mathematical analysis and constitutes a core component of Engineering education. The course covers the study of curves and surfaces, scalar and vector-valued functions of several variables, differentiation and optimization, as well as multiple integration and line integrals, providing the mathematical foundations for modelling and analysing multidimensional problems. The course equips students with essential tools for the modelling and analysis of multidimensional phenomena, fostering logical reasoning, abstract thinking, and mathematical problem-solving skills, while providing the necessary background for subsequent courses.
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Class from course
Class from course
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Degree | Semesters | ECTS
Degree | Semesters | ECTS
Bachelor | Semestral | 5
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Year | Nature | Language
Year | Nature | Language
1 | Mandatory | Português
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Code
Code
ULHT39-714
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Prerequisites and corequisites
Prerequisites and corequisites
Not applicable
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Professional Internship
Professional Internship
Não
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Syllabus
Syllabus
Basic notions in R^n. Vector, geometrical and topological structure. Curves and paths. Continuity and differentiability. Regular paths. Reparametrizations. Functions of several real variables. Conics and quadrics. Domain. Level sets. Limits. Sandwich theorem. Properties of limits. Continuity. Partial derivatives. Derivatives. Differentiability. Gradient. Hessian Matrix. Taylor's Polynomial. Extremes. Critical Points. Multivariable functions. Domain. Level sets. Limits and continuity. Differentiability. Derivatives. Jacobian Matrix. Chain rule. Line integrals of scalar fields. Invariance by reparametrization. Length of curves. Line integral of vector fields. Signal and reparametrization invariance. Work. Fundamental theorem of the calculus. Conservative vector fields. Double integrals. Fubini's Theorem. Change of variables. Green's Theorem. Applications.
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Objectives
Objectives
Aims to deepen and develop the mastery of vector calculus as a tool to solve geometric problems involving lines and planes in two and more dimensions; functional description of static and dynamic phenomena in various dimensions; expand and consolidate the essential knowledge of differential and integral calculus in Rn and its application to concrete problems in order to expand the mastery of the concepts presented in the course and develop independent reasoning. Solve optimization problems using the identification of extreme points of functions of several variables. Understand and use the concepts of line integral and double integral in the calculus lengths, areas and volumes.
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Teaching methodologies
Teaching methodologies
Series of exercises will be proposed with the aim of consolidating knowledge and stimulating problem-solving skills. The evaluation of the discipline, expressed on a scale from 0 to 20 points, will be made at different times, including 2 midterms (40% + 50%) and individual work to be developed outside the classroom (10%). If the weighted average of these evaluations is equal to or greater than 9.5, the student will be successful in the subject, otherwise the student will be able to attend a global frequency. In the final exam, the student can improve the grade. The minimum passing grade for these assessments is also 9.5. Assessment criteria are explained at the beginning of the semester.
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References
References
Anton, H., Bivens, I., & Davis, S. (2012). Calculus (10th ed.). John Wiley & Sons. Sarrico, C. (2009). Cálculo Diferencial e Integral para Funções de Várias Variáveis. Esfera do Caos. Stewart, J., Clegg, D., & Watson, S. (2020). Calculus (9th ed.). Cengage.
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Assessment
Assessment
Descrição
Ponderação
Teste 1
40%
Teste 2
50%
TPC/Participação
10%
Frequência global
90% + 10%
Exame
100%
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Mobility
Mobility
No





