Credits
7.5
Types
Compulsory
Requirements
This subject has not requirements, but it has got previous capacities
Department
MAT
Introduction to differential and integral calculus. From the starting point of numbers (rational, real, complex) and going up to some notion of multivariate calculus.

Teachers

Person in charge

  • Rafael Ramirez Ros ( )

Others

  • Jordi Villanueva Castelltort ( )

Weekly hours

Theory
3
Problems
2
Laboratory
0
Guided learning
0
Autonomous learning
7.5

Competences

Technical Competences

Technical competencies

  • CE1 - Skillfully use mathematical concepts and methods that underlie the problems of science and data engineering.

Transversal Competences

Transversals

  • CT5 - Solvent use of information resources. Manage the acquisition, structuring, analysis and visualization of data and information in the field of specialty and critically evaluate the results of such management.
  • CT6 [Avaluable] - Autonomous Learning. Detect deficiencies in one's own knowledge and overcome them through critical reflection and the choice of the best action to extend this knowledge.

Basic

  • CB1 - That students have demonstrated to possess and understand knowledge in an area of ??study that starts from the base of general secondary education, and is usually found at a level that, although supported by advanced textbooks, also includes some aspects that imply Knowledge from the vanguard of their field of study.

Generic Technical Competences

Generic

  • CG2 - Choose and apply the most appropriate methods and techniques to a problem defined by data that represents a challenge for its volume, speed, variety or heterogeneity, including computer, mathematical, statistical and signal processing methods.

Objectives

  1. Grasp the concept of real i complex number
    Related competences: CT6, CB1,
  2. Ability to cope with interval calculus and inequalities
    Related competences: CE1, CT5, CT6, CB1,
  3. Modeling of problems of numerical optimization
    Related competences: CE1, CT6, CG2, CB1,

Contents

  1. Numbers
    Rational, and real numbers. Absolute value. Operations and expressions.
  2. Functions
    Qualitative study of the most common functions and their inverses. Limits and continuity.
  3. Derivation
    Derivative of a function. Derivative of a composition of functions and of the inverse function. Also for a function implicitly defined. Relative extremes. The mean value theorem. The L'Hôpital rule. The Taylor formula. Lagrange error formula. Optimization problems. Partial derivatives and gradient. Directional derivatives and tangent plane.
  4. Integration
    Computation of primitive functions: changes of variable, integration by parts formula; rational, trigonometric and irrational integrals. Integral of a function defined on an interval. Calculus Fundamental Theorem. Mean Value Theorem for integrals. Leibniz's Formula. Improper integrals: definition and comparative criteria. Euler's Gamma function.
  5. Sequences and series
    Sequances. Calculation of limits. Series of real and complex numbers. Convergence criteria. Power series. Radius of convergence. Differentiation and integration of power series.

Activities

Activity Evaluation act


Midterm exam


Objectives: 1 2
Week: 10 (Outside class hours)
Type: theory exam
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
2h
Autonomous learning
5h

Final exam


Objectives: 2 3
Week: 15 (Outside class hours)
Type: theory exam
Theory
0h
Problems
0h
Laboratory
0h
Guided learning
2.5h
Autonomous learning
10h

Numbers



Theory
3h
Problems
4h
Laboratory
0h
Guided learning
0h
Autonomous learning
18h

Functions study



Theory
8h
Problems
5h
Laboratory
0h
Guided learning
0h
Autonomous learning
18h

Differentiability



Theory
12h
Problems
8h
Laboratory
0h
Guided learning
0h
Autonomous learning
18h

Integrability



Theory
12h
Problems
8h
Laboratory
0h
Guided learning
0h
Autonomous learning
18h

Sequences and series



Theory
10h
Problems
5h
Laboratory
0h
Guided learning
0h
Autonomous learning
18h

Teaching methodology

Lectures introduce the concepts, results and algorithms needed to achieve the required level of understanding

These concepts are put into practice in problem and laboratory sessions.
The teacher poses problems related to the current topic prior to each problem session.

Evaluation methodology

Final grade = max(0.1*NPract + 0.9*NExFinal, 0.1*NPract + 0.3*NExParcial + 0.6*NExFinal)
on
[NPract]: numerical methods exam
[NExParcial]: midterm exam
[NExFinal]: final examen grade

In case of reevaluation, the new grade will replace the previous.

Bibliography

Basic:

Complementary:

Web links

  • Primer dels tres volums dels divulgadors Edwin Herman i Gilbert Strang, professors del MIT, editats per OpenSatx sota llicència gratuïta. Gairebé 3000 pàgines amb una gran quantitat d'exemples, figures i problemes resolts. https://openstax.org/details/books/calculus-volume-1
  • Segon dels tres volums dels divulgadors Edwin Herman i Gilbert Strang, professors del MIT, editats per OpenSatx sota llicència gratuïta. Gairebé 3000 pàgines amb una gran quantitat d'exemples, figures i problemes resolts. https://openstax.org/details/books/calculus-volume-2
  • Tercer dels tres volums dels divulgadors Edwin Herman i Gilbert Strang, professors del MIT, editats per OpenSatx sota llicència gratuïta. Gairebé 3000 pàgines amb una gran quantitat d'exemples, figures i problemes resolts. https://openstax.org/details/books/calculus-volume-3
  • Material seleccionat i elaborat pel professor Rafael Ramírez amb multitud de vídeos de contingut matemàtic adaptat directament al temari de l'assignatura. https://web.mat.upc.edu/rafael.ramirez/ACcY/index.html

Previous capacities

Knowledge on basic calculus theory at level 2n Batxillerat