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Educational guide | |||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2024_25 | |||||||||||||||||||||||||||||||||||||||
Subject | MATEMÁTICAS Y ESTADÍSTICA | Code | 00107106 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
9 | Basic Training | First | Second |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | MATEMATICAS |
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Coordinador |
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asaes@unileon.es jsusl@unileon.es |
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Lecturers |
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Web | http:// | |||||||||||||||||||||||||||||||||||||||
General description | The course is divided in two parts. First part covers main topics on Linear Algebra, Differential and Integral Calculus of functions of one variable, Numerical Methods and Ordinary Differential Equations with special emphasis on first order linear differential equations. Second part is devoted to Statistics. We focus our study on exploratory data analysis, Probability and Distribution Theory and Statistical Inference. | |||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Competencias |
Code | |
A18489 | |
B5675 | |
B5678 | |
B5679 | |
C1 | CMECES1 That students have demonstrated possession and understanding of knowledge in an area of study that is based on general secondary education, and is usually found at a level that, although supported by advanced textbooks, also includes some aspects that involve knowledge from the cutting edge of their field of study |
C2 | CMECES2 That students know how to apply their knowledge to their work or vocation in a professional manner and possess the skills that are usually demonstrated through the development and defense of arguments and the resolution of problems within their area of study. |
C5 | CMECES5 That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy |
Learning aims |
Competences | |||
A18489 |
B5675 B5679 |
C1 C2 C5 |
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A18489 |
B5675 B5679 |
C1 C2 C5 |
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A18489 |
B5675 B5678 B5679 |
C1 C2 C5 |
Contents |
Topic | Sub-topic |
I. Linear Algebra | Systems of linear equations, vectors, matrices and determinants. Application to the solution of some problems in science. |
II. Infinitesimal Calculus | Limits, derivatives and calculation of maxima and minima. Integration and applications to the computation of perimeters, areas and volumes. |
III. Probability | Introduction to probability theory. Discrete and continuous random variables. |
IV. Descriptive Statistics | Basic concepts, population and sample. Descriptive measures and data representation. |
V. Inference | Introduction to statistical inference. Estimation, confidence intervals and hypothesis testing. |
Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Problem solving, classroom exercises | 30 | 45 | 75 | ||||||
Practicals using information and communication technologies (ICTs) in computer rooms | 14 | 24 | 38 | ||||||
Personal tuition | 4 | 4 | 8 | ||||||
Lecture | 36 | 56 | 92 | ||||||
Practical tests | 5 | 0 | 5 | ||||||
1 | 6 | 7 | |||||||
(*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |
Methodologies |
Description | |
Problem solving, classroom exercises | Solving problems and exercises in the classroom |
Practicals using information and communication technologies (ICTs) in computer rooms | Use of mathematical and statistical software to solve problems in food science and technology. |
Personal tuition | Solving doubts prior to the exams. Individual or small group attention during office hours. |
Lecture | Classical expository lectures. |
Personalized attention |
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Assessment |
Description | Qualification | ||
Practical tests | To be evaluated: correct writing, numerical results, justification and interpretation of results. There is no final exam. | 90% | |
Assignments, homeworks or group works. | 10% | ||
Other comments and second call | |||
In the second call, students can choose between these two options, to be evaluated: 90% exams + 10% works, or by computing only the practical tests (100% of the grade). |
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic |
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Complementary | |
Recommendations |