IDENTIFYING DATA 2018_19
Subject (*) MATHEMATICS Code 19204001
Study programme
Bachelor's Degree in Biotechnology (2009)
Cycle 1st
Descriptors Credits Type Year Period
9 Basic Course First 1Q
Language
Català
Department Computer Engineering and Mathematics
Coordinator
VILLADELPRAT YAGÜE, JORDI
GARIJO REAL, ANTONIO
LÓPEZ BESORA, JOSEP MARIA
E-mail josep.m.lopez@urv.cat
antonio.garijo@urv.cat
jordi.villadelprat@urv.cat
Lecturers
LÓPEZ BESORA, JOSEP MARIA
GARIJO REAL, ANTONIO
VILLADELPRAT YAGÜE, JORDI
Web
General description and relevant information Introduction to the funcions of several variables, vector spaces and linear applications.

Competences
Type A Code Competences Specific
 A1 Apply basic knowledge of mathematics and physics at the molecular biosciences
Type B Code Competences Transversal
Type C Code Competences Nuclear

Learning outcomes
Type A Code Learning outcomes
 A1 Acquire the techniques needed to operate with differential equations.
Acquire the techniques needed to operate with linear applications, matrices and vectors.
Acquire the techniques needed to operate with vectors.
Acquire the techniques needed for calculating extremes.
Apply the concept and techniques of integral calculation to specific cases.
Apply the techniques of matrix calculus to specific problems.
Understand the concept of differential equations.
Know the theoretical model of vector space.
Understand the basic properties of the functions of one and several variables.
Know the theoretical concepts of linear application, matrix and own spaces.
Type B Code Learning outcomes
Type C Code Learning outcomes

Contents
Topic Sub-topic
Matrix and functions Matrix calculations and systems of equations. Functions of several variables, examples and graphic representation.
Functions of several variables Continuity, partial derivatives, differentiability and calculation of extremes. Multiple integration. Concept, calculation techniques and uses.
Vector spaces and linear applications Vector spaces and linear applications concepts and basics properties. Diagonalization of endomorphisms and scalar product.
Differential equations Concepts, resolution techniques and applications to scientific problems.

Planning
Methodologies  ::  Tests
  Competences (*) Class hours
Hours outside the classroom
(**) Total hours
Introductory activities
A1
5 5 10
Lecture
A1
60 50 110
Problem solving, exercises in the classroom
A1
30 52 82
Personal attention
A1
9 0 9
 
Extended-answer tests
A1
2 5 7
Extended-answer tests
A1
2 5 7
 
(*) On e-learning, hours of virtual attendance of the teacher.
(**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students.

Methodologies
Methodologies
  Description
Introductory activities Activities designed to make contact with students, collect information from them and introduce the subject.
Lecture Description of the contents of the subject.
Problem solving, exercises in the classroom Formulation, analysis, resolution and debate of a problem or exercise related to the topic of the subject
Personal attention

Personalized attention
Description
Attention to the students during the office hours will be at the teacher’s office. Answer of doubts through ‘’Moddle’’.

Assessment
Methodologies Competences Description Weight        
Extended-answer tests
A1
First test. Solving problems individually. Evaluation of the first part of the contents of the course. 50%
Extended-answer tests
A1

Second test. Solving problems individually. Evaluation of all the contents of the course.
50%
Others  
 
Other comments and second exam session

The 2nd call consists of a single test. Solving problems individually. Evaluation of all the contents of the course.

During evaluation tests, the mobile phones, tablets and another devices not expressly authorized by the test must be switched off and out of sight.

The demonstration of the fraudulent conduct of some evaluative activity of a subject in both material and virtual or electronic support leads to the students' fail of this evaluation activity. Regardless of this, in view of the seriousness of the facts, the centre may propose the initiation of a disciplinary file, which will be initiated by resolution of the rector


Sources of information

Basic J. Rogawski, cálculo, Ed. Reverté, 2012
S. Salas, G. Etgen, E. Hille, calculus: una y varias variables, Ed. Reverté, 2002

Complementary H. Anton, Introducción al algebra Lineal, Limusa, 1983

Recommendations


(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.