Type of course: |
Elective (1 of 3) |

Language of instruction: |
English |

Erasmus Language of instruction: |
English |

Name of lecturer: |
Ioan Lucian Popa |

Seminar tutor: |
Ioan Lucian Popa |

Form of education |
Full-time |

Form of instruction: |
Class / Seminary |

Number of teaching hours per semester: |
56 |

Number of teaching hours per week: |
4 |

Semester: |
Autumn |

Form of receiving a credit for a course: |
Grade |

Number of ECTS credits allocated |
5 |

The students will gain skills in the use of mathematical analysis.

The discipline contributes to the formation of some general skills specific for the study domain.

Transposition of problems in various programming languages.

N/A

1.Strings. 1.1 Strings applications, real numbers strings, strings in metric spaces. 1.2 Calculation of string limits 2. Numerical series. 2.1 Applications to numerical series and convergence criteria for series with random terms. 2.2 Applications to absolute convergent series, semiconvergent series, and series with positive terms. 3. Functions between metrical spaces. 3.1 Applications regarding function calculation of the limits in one point. 3.2 Continuity of functions between metric spaces. 4. Integration of real functions. 4.1 Calculation of some integrals out of real functions. 4.2 Applications to calculate defined integrals. 5. Strings and series of functions 5.1 Applications of strings and series of functions. 5.2 Applications of rise series and Taylor series. 6. Functions derivations of more than one variable 6.1 Applications to function derivations of more than one variable, partial derivations. 6.2 Applications to functions differentials of more than one variable and functions extremes of more than one variables. 6.3 Conditioned extremes. 7. Basic knowledge regarding integrals 7.1 Improper integrals applications. 7.2 Applications of integrals with parameters. 7.3 Applications of Eulerian integrals and double integrals

Lecture, discussion, exemplification

In order to obtain credits for this discipline the student have to know how to work with elementary mathematical analysis notions, which are necessary in the basic theoretical bases of engineering.

Final evaluation – 50%; continuous assessment – 50%.

Breaz D., Acu, M,
Mathematic Analysis, Risoprint,
-,
2008,
-.

Mangatiana A. Robdera,
A Concise Approach to Mathematical Analysis, Springer,
-,
2003,
-.

Graeme L. Cohen,
A course in modern analysis and its applications, Cambridge,
-,
2003,
-.

Niels Jacob, Kristian P Evans,
A Course in Analysis - Volume I: Introductory Calculus, Analysis of Functions of One Real Variable, World Scientific,
-,
2016,
-.