
Mathematical Analysis I
Code
11504
Academic unit
Faculdade de Ciências e Tecnologia
Department
Departamento de Matemática
Credits
6.0
Teacher in charge
José Maria Nunes de Almeida Gonçalves Gomes
Weekly hours
6
Total hours
72
Teaching language
Português
Objectives
Students should acquire the necessary knowledge and skills to pursue their learning on subsequent Analysis courses, Probability Theory, Numerical Analysis as well as to the specific disciplines of their academic studies.
Prerequisites
Students should have a solid background on Mathematics taught at high-school level within the European Union.
Subject matter
1. Basic topology of the real line.
1.1 Neighborhood of a Point. Interior, exterior, boundary, isolated, limit point and limit point of a set.
1.2 Open, closed, bounded and compact sets.
2. Mathematical induction and sequences
2.1 Mathematical Induction.
2.2 Limit of a sequence. Algebra of limits. Subsequences and sublimits. Squeezed sequence convergence theorem. Bolzano-Weierstrass theorem and other fundamental theorems. Cauchy''s sequences.
3. Limits and Continuity in R
3.1 Definition of limit according to Cauchy and to Heine. Algebra of limits.
3.2 Continuity of a function at a point and over a set. Continuous extension of a function. Bolzano''s theorem and Weierstrass''s theorem. Continuity of the composite function and continuity of the inverse function. Inverse trignometric functions.
4. Differential Calculus in R
4.1 Definition of the derivative of a function at a point. Physical and geometrical meaning. Differentiability. Algebra of derivatives. Derivative of the composite function and derivative of the inverse function. Derivatives of inverse trignometric functions. Rolle''s Theorem, Lagrange''s theorem. Derivative and monotony. Darboux''s theorem and Cauchy''s theorem. Cauchy’s mean theorem.
4.2 Taylor''s theorem and applications to the study of extrema and concavities.
5. Integral Calculus in R
5.1 Primitive of a function. Primitivation by parts. Primitives by substitution. Primitives of rational functions. Primitives of irrational functions and transcendent functions.
5.2 Riemann integral. Mean value theorem for integrals. Fundamental Theorem of Calculus. Barrow''s rule. Integration by parts and integration by substitution. Application to the calculation of areas.
Teaching method
Teaching Method bases on conferences and problems solving sessions complemented by an individual attending schedule.
Evaluation method
Important:
In order to be evaluated, the student must attend at least 2/3 of the solving sessions.
Evaluation Methods:
1-Continuous evaluation
The continuos evaluation consists on three tests during the semester. One of the tests may be improved in the final examination date. The final grade is the average of the grades of the three tests. The student is aproved if the final grade is greater or equal than 9,5.
Each test lasts for 1h 30min.
2-Final exam evaluation.
The student is aproved if the grade of the final exam is greater or equal than 9,5.
The final exam lasts for 3h.
Calculatory devices including mobile phones are not allowed in tests or exams.
Courses
- Sanitary Engineering Profile
- Micro and Nanotechnology Engineering
- Environmental Systems Engineering Profile
- Chemical and Biochemical Engineering
- Industrial Engineering and Management
- Applied Mathematics to Risk Management
- Geological Engineering
- Physics Engineering
- Computer Science and Engineering
- Mechanical Engineering
- Electrical and Computer Engineering
- Biomedical Engineering
- Materials Engineering