Mathematical Analysis II
Keywords |
Classification |
Keyword |
OFICIAL |
Mathematics |
Instance: 2016/2017 - 2S
Cycles of Study/Courses
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
- 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.
- Modelling and Differential Equations.
First order Differential equations.
Second order linear equations.
- Integral Calculus in Rn.
Double and triple integrals. The change of variables.
Line integrals.
Parametrized surfaces. Integrals over surfaces.
- 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