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Calculus of One Variable

Code: 107596
Credits: 6
2026/2027
Degree programme Type Course
Physics FB 1

Contact lecturer

Name :
Francisco Javier Bafaluy Bafaluy
Email :
javier.bafaluy@uab.cat

Teaching staff

Alvaro Corral Cano

Group languages

You can consult this information at the end of the document.

Prerequisites

There are no requirements.

 

Objectives

The basic concepts of real variable calculus are introduced: limits, continuity, derivative, integration and power series.

The student will learn the practcal techniques of calculus.

Learning outcomes

  • CM09 (Justify the use of calculus in one and several variables and differential equations in the resolution of general problems.) Justify the use of calculus in one and several variables and differential equations in the resolution of general problems.
  • CM10 (Adapt the basic mathematical strategy when approaching a given problem from an analytical point of view.) Adapt the basic mathematical strategy when approaching a given problem from an analytical point of view.
  • KM09 (Identify the basic concepts of limits, continuity, derivatives and integrals, vector and subspace space, linear and scalar product and the methodology of matrix diagonalisation.) Identify the basic concepts of limits, continuity, derivatives and integrals, vector and subspace space, linear and scalar product and the methodology of matrix diagonalisation.
  • SM07 (Apply the mathematical knowledge acquired to the resolution of mathematical and physical problems with mathematical representation.) Apply the mathematical knowledge acquired to the resolution of mathematical and physical problems with mathematical representation.

Contents

  1. Real numbers, induction.
  2. Elementary functions and inverse function.
  3. Number sequences and limits.
  4. Limits and continuity of functions.
  5. Derivatives and applications.
  6. Riemann integral.
  7. Integration and applications.
  8. Improper integrals.
  9. Number series.
  10. Power series.

Learning activities and methodology

Title Hours ECTS Learning outcomes
Problem solving 50 2 CM10, SM07
Personal study 42 1.68 KM09, SM07
Practical classes 13 0.52 CM10, SM07
Seminars 8 0.32 CM09, CM10, SM07
Theory classes 28 1.12 CM09, KM09

Theory classes: presentation of the subject's theoretical framework and problem-solving tools.

Practical Classes: instructors will demonstrate solutions to selected problems from a collection available on the Virtual Campus; students should work through these problems before the class.

Seminars: the students will work in small groups to solve exercises related to a given topic under the supervision of an instructor; at the end of the session each group will present their reults.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

Assessment

Continuous assessment activities

Title Weight Hours ECTS Learning outcomes
First term exam 40% 3 0.12 CM10, KM09, SM07
Final term exam 40% 3 0.12 CM10, KM09, SM07
Re-evaluation 80% (only the partial exams can be re-evaluated) 3 0.12 CM10, KM09, SM07
Delivery of exercises 20% 0 0 CM09, CM10, SM07

The evaluation is based on two tests with a global weight of 80% and on the assessment of the student work in the seminar sessions with a global weight of 20%.

The re-evaluation allows only to improve the qualification of the tests, the qualification of the seminars work is not recoverable.

In order to qualify for the re-evaluation it will be necessary to have completed at least the two partial exams.


Single Assessment:

The students following the single evaluation modality must take a final test that will be similar to the two partial tests. This exam will take place at the same day, hour and location as the corresponding exam of the continuous evaluation.

If necessary they could take the re-evaluation, that will be the same as for the rest of the students.


Use of AI:

In this course, the use of Artificial Intelligence (AI) technologies is permitted exclusively for bibliographic or information searches. For graded assignments, it is essential to clearly identify which parts were generated using this technology, specify the tools used, and include a critical reflection on how these tools influenced the process and the final result of the activity. Lack of transparency regarding the use of AI in these activities will be considered a breach of academic integrity and could result in a partial or full penalty on the assignment grade, or more severe sanctions in cases of serious misconduct.

Bibliography

Theory:

* Spivak, M. Calculus, Reverté (2013). Available online

* Brokate, N.; Manchanda, P.; Siddiqi, A.H.; Calculus for Scientists and Engineers, Springer (2019). Available online

* Salas, S. L; Hille, E.; Etgen, G. J. Calculus. Una y Varias Variables. Volumen I. Reverté (2018). Available online

* Méndez, A.,Càlcul en una variable real, UAB (2024) Available online


Exercicis (llibres amb exercicis resolts i per resoldre):

* Aryes, F. y Mendelson, E. Cálculo diferencial e integral, McGraw-Hill (1990). Available in the library

* Demidovich, B.P., 5000 problemas de análisis matemático, Paraninfo (2000). Available in the library


Software

No specific software will be used.

Course groups and languages

The information provided is provisional until November 30. After this date, you will be able to consult the language of each group through this link. To access the information, you will need to enter the course CODE

Type of teaching Group Language Semester Shift
(TE) Theory 1 Catalan first semester morning-mixed
(PAUL) Classroom practices 1 Catalan first semester morning-mixed
(TE) Theory 2 Catalan/Spanish first semester afternoon
(PAUL) Classroom practices 2 Catalan/Spanish first semester morning-mixed
(SEM) Seminars 11 Catalan first semester morning-mixed
(SEM) Seminars 12 Catalan first semester morning-mixed
(SEM) Seminars 21 Catalan first semester afternoon
(SEM) Seminars 22 Catalan first semester afternoon