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Syllabus 201819  11811013  Mathematics 1 (Matemáticas I)
 Level 1: Tutorial support sessions, materials and exams in this language
 Level 2: Tutorial support sessions, materials, exams and seminars in this language
 Level 3: Tutorial support sessions, materials, exams, seminars and regular lectures in this language
FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES
ACADEMIC YEAR: 201819
NAME: Mathematics 1


CODE: 11811013  ACADEMIC YEAR: 201819  
LANGUAGE: English  LEVEL: 3  
ECTS CREDITS: 6.0  YEAR: 1  SEMESTER: SC 
NAME: GUERRERO GARCIA, JULIO  
DEPARTMENT: U124  MATEMÁTICAS  
FIELD OF STUDY: 595  MATEMÁTICA APLICADA  
OFFICE NO.: B3  B3035  EMAIL: jguerrer@ujaen.es  P: 953 213375 
WEBSITE:   
LANGUAGE:   LEVEL: 3  
Unit 1. Functions. The real line.
Realvalued functions of one real variable. Elementary functions. Limits and continuity of realvalued functions of one real variable. Modelization of economic phenomena using functions and the concept of limit.
Unit 2. Differentiability of realvalued functions of one real variable.
The concept of derivative, velocity or instantaneous rate change in phenomena modelized by functions. Geometrical interpretation of derivative. Differentiation rules. Relative extremes, convexity, concavity and inflection points. L'Hôpital Theorem.
Unit 3. Integration of functions.
Primitive, Indefinite integral and properties. Integration rules. Definite integral and properties. Aplications of the definite integral.
Unit 4. Matrices.
Data representation using matrices. Basic definitions and matrix operations. Matrix powers and iterative matrix models. Matrix rank. Determinants. Inverse matrix.
Unit 5. Linear systems of equations.
Vectors. Classification of linear systems of equations. Parametric solution of a linear system. Gauss and Cramer methods to solve linear systems of equations. Vector subspaces. Bases, coordinates and dimension of vector subspaces.
Unit 6. Diagonalization of matrices.
Eigenvalues and eigenvectors, characteristic polynomial. Interpretation of eigenvectors and eigenvalues in matrix iterative processes. Role of dominant eigenvector and eigenvalue in asymptotic behaviour of matrix iterative processes.
Lectures (M1, M3, M4, M5): Theoretical contents and related practical examples will be developed in these sessions.
Seminars (M6, M7, M8, M10, M12, M13): 15 onehour long classroom sessions will be devoted for solving problems, with special emphasis on applications to economics. Additionally, 15 onehour long computer lab sessions will be devoted for solving problems by using the software Mathematica.
Students with special educational needs should contact the Student Attention Service (Servicio de Atención y Ayudas al Estudiante) in order to receive the appropriate academic support
1. Detail:
* S1. ACTIVE ATTENDANCE: 0.5 points (5%): 0.5 points will be divided by the total number of hours attended. Learning results R12 and R13.
* S2. THEORETICAL CONCEPTS: 6.0 points (60%): Final written exam about the theoretical concepts and related exercises. Learning results R11 and R14.
* S3. CLASSROOM EXERCISES: 2 points (20%): Short classroom tests. Learning results R11 and R13.
*S4. COMPUTER LAB PRACTICES: 1.5 points (15%): Computer exam. Computer guidelines may be used in the exam. Learning results R11 and R13.
2. Marks from S1 and S3 will be maintained during the current academic year. Students who attend the final written exam (S2) and/or the computer exam (S4) will appear as 'SHOWN' in the grade list for the corresponding official exam call
3. The final continuous grade will be the sum of the marks obtained from S1, S2, S3, S4.
A final alternative grade given by the sum of the marks of the final written exam and the computer exam, weighted 80% and 20%, respectively, will be considered for each student at each official exam call.
The final student grade will be the maximum of the final continuous student grade and the final alternative student one at each official exam call.