Go to:
Logótipo
You are here: Start > EMG0007

Mathematical Analysis II

Code: EMG0007     Acronym: AM II

Keywords
Classification Keyword
OFICIAL Mathematics

Instance: 2016/2017 - 2S Ícone do Moodle

Active? Yes
Responsible unit: Department of Civil Engineering
Course/CS Responsible: Bachelor in Mining and Geo-Environmental Engineering

Cycles of Study/Courses

Acronym No. of Students Study Plan Curricular Years Credits UCN Credits ECTS Contact hours Total Time
LCEEMG 31 Plano de estudos oficial a partir de 2008/09 1 - 6 56 162
MIEA 55 Syllabus since 2006/07 1 - 6 56 162
Mais informaçõesLast updated on 2017-02-03.

Fields changed: Objectives, Resultados de aprendizagem e competências, Métodos de ensino e atividades de aprendizagem, Fórmula de cálculo da classificação final, Bibliografia Obrigatória, Programa, Tipo de avaliação, Componentes de Avaliação e Ocupação, Melhoria de classificação

Teaching language

Suitable for English-speaking students

Objectives

OBJECTIVES:
To acquire theoretical and practical knowledge on the differential and integral calculus of scalar functions and vector functions of one or several variables and on some of their applications in engineering. To acquire an elementary knowledge in the resolution of differential equations. To develop competences in the areas of formulation, identification and modelling of engineering problems. To develop creative and critical thinking and for solving engineering problems.

Learning outcomes and competences

COMPETENCES: Technical knowledge of the underlying sciences (differential and integral calculus of scalar functions and vector functions of one or several variables and differential equations); To know how to deal with new problems and unfamiliar situations in diverse and multidisciplinary contexts; To be capable of dealing with complex situations, finding solutions or giving an opinion in situations where information is limited or incomplete; To develop competences that lead to a lifelong learning process in a self-oriented and autonomous way; To be capable of communicating and presenting knowledge clearly and unambiguously


LEARNING OUTCOMES: After this course, the students are able to:

Obtain partial and directional derivatives for scalar fields and know how to construct the gradient vector. Calculate partial derivatives of functions of several variables (either composite or implicit); Locate extreme values of functions. Calculate the divergence and the rotational of a vector field.

Calculate double and triple integrals (in rectangular, cylindrical and spherical coordinates) and understand its practical applications (calculation of area, volume, and centroid); Represent curves and surfaces in the 3D space; Understand Vector Analysis, calculate line and surface integrals and understand its practical applications (calculation of work done by a force and the flux of a vector field).

To solve first order ordinary differential equations and linear equations of second order. To formulate and implement simple mathematical models describing physical-chemical phenomena.

Working method

Presencial

Pre-requirements (prior knowledge) and co-requirements (common knowledge)

Basic knowledge of  Mathematical Analysis I and Algebra

Program


  1. Differential Calculus in Rn.
    Real valued functions. Graph and level set. Properties of the continuous functions and properties of the derivative. Gradients and directional derivatives. Partial derivatives. Extrema.
    Vector Valued functions. Matrix of partial derivatives. Divergence and Curl of a vector field.

  2. Modelling and Differential Equations.
    First order Differential equations.
    Second order linear equations.

  3. Integral Calculus in Rn.
    Double and triple integrals. The change of variables.
    Line integrals.
    Parametrized surfaces. Integrals over surfaces.

  4. Some applications using mathematical models describing physical-chemical phenomena. (Transverse module).

Mandatory literature

Marsden Jerrold E.; Vector calculus. ISBN: 0-7167-0462-5
Edwards Charles Henry; Differential Equations. ISBN: 0-13-067337-4

Complementary Bibliography

C. Henry Edwards, David E. Penney; Calculus. ISBN: 0-13-095006-8

Teaching methods and learning activities

Exposition of theoretical concepts and resolution of practical examples during classes. Interaction with students will be emphasized. Small evaluation tests will take place along the semester, in order to stimulate and monitor the process of acquisition of knowledge and skills by the students along that time period. This curricular unit is inserted in the Moodle platform, in order to enhance the discussion among all participants. In this platform, all students have access to every issue provided by the teachers and may strengthen their concepts by solving self-evaluation activities. Students will be encouraged to use software (Maxima).

Software

Maxima, a Computer Algebra System

keywords

Physical sciences > Mathematics > Mathematical analysis

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation Weight (%)
Exame 70,00
Teste 30,00
Total: 100,00

Amount of time allocated to each course unit

Designation Time (hours)
Estudo autónomo 106,00
Frequência das aulas 56,00
Total: 162,00

Eligibility for exams

Students cannot exceed the absence limit according to the General Evaluation Rules in force.

Calculation formula of final grade

Final mark (CF) is calculated according to:

CF = maxima {EX; AD}

 where,

EX – Exam Mark

AD = (10% x AD1 + 10% x AD2+10% x MDL) + 70% x EX

 

AD1- mark of the first mini test;

AD2 - mark of the second mini test;

MDL-classification obtained in 4 Moodle activities evaluated in the following scale:

  • 100% (20 values) if the 4 activities with a positive note were completed within the established deadline.
  • 75% (15 values) if only 3 of the activities were carried out in the established period with a positive note.
  • 50% (10 values) if only 2 of the activities were carried out in the established period with a positive note.
  • 25% (5 values) if only one of the activities were carried out in the established period with a positive note.
  • 0% in all other cases.

All marks are quoted on a  0 to 20 scale.

Examinations or Special Assignments

Not foreseen.

Internship work/project

Not foreseen.

Special assessment (TE, DA, ...)

According to the general evaluation rules.

Classification improvement

Final Exam

Recommend this page Top
Copyright 1996-2024 © Faculdade de Engenharia da Universidade do Porto  I Terms and Conditions  I Accessibility  I Index A-Z  I Guest Book
Page generated on: 2024-10-02 at 05:57:02 | Acceptable Use Policy | Data Protection Policy | Complaint Portal