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Educational guide | |||||||||||||||||||||||||||||||||||||||
IDENTIFYING DATA | 2024_25 | |||||||||||||||||||||||||||||||||||||||
Subject | DATA SCIENCE I | Code | 00717017 | |||||||||||||||||||||||||||||||||||||
Study programme |
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Descriptors | Credit. | Type | Year | Period | ||||||||||||||||||||||||||||||||||||
6 | Compulsory | Second | Second |
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Language |
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Prerequisites | ||||||||||||||||||||||||||||||||||||||||
Department | MATEMATICAS |
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Coordinador |
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aquic@unileon.es mttrom@unileon.es |
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Lecturers |
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Web | http:// | |||||||||||||||||||||||||||||||||||||||
General description | Introductory course in mathematical statistics for data science. | |||||||||||||||||||||||||||||||||||||||
Tribunales de Revisión |
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Competencias |
Code | |
A18963 | |
A18966 | |
A18979 | |
A18989 | |
B5800 | |
B5801 | |
B5802 | |
B5806 | |
B5807 | |
B5808 | |
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. |
C4 | CMECES4 That students can transmit information, ideas, problems and solutions to both a specialised and non-specialised audience |
Learning aims |
Competences | |||
Understands the main statistical methods and applies them to solve mathematical problems in data science and artificial intelligence. | A18963 A18966 A18989 |
B5800 B5806 |
C2 |
Demonstrates the ability to design and develop a data analysis project and applies it correctly to a decision-making process and/or includes critical reasoning. | A18966 A18989 |
B5801 B5802 B5806 B5807 |
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Applies the descriptive and inferential statistical concepts and procedures learnt to effectively communicate and represent the analysis and results, selecting the most appropriate data visualisation techniques and tools. | A18966 A18979 |
B5801 B5806 |
C2 C4 |
Applies the mathematical concepts and procedures learnt both in the elaboration of correct arguments and to face situations that imply the use of new mathematical knowledge and techniques, thus promoting autonomous learning. | A18966 A18979 |
B5807 B5808 |
C2 |
Communicates orally and/or in writing knowledge, reasoning and solutions to statistical problems using mathematical language. | A18979 |
B5800 B5808 |
C4 |
Contents |
Topic | Sub-topic |
Topic I: Descriptive statistics | Sub-topic 1: Introduction to statistics Sub-topic 2: Descriptive statistics |
Topic II: Inference | Sub-topic 3: Introduction to inference Sub-topic 4: Bayesian inference: point and interval estimation, hypothesis testing and prediction Sub-topic 5: Frequentist inference: point and interval estimation, hypothesis testing and prediction Sub-topic 6: Non-parametric inference |
Topic III: Study design | Sub-topic 7: Study design |
Planning |
Methodologies :: Tests | |||||||||
Class hours | Hours outside the classroom | Total hours | |||||||
Problem solving, classroom exercises | 22 | 44 | 66 | ||||||
Practicals using information and communication technologies (ICTs) in computer rooms | 6 | 9 | 15 | ||||||
Tutorship of group | 4 | 6 | 10 | ||||||
Lecture | 22 | 22 | 44 | ||||||
Extended-answer tests | 6 | 9 | 15 | ||||||
(*)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 | Problem posing and solving in the classroom. |
Practicals using information and communication technologies (ICTs) in computer rooms | Solving exercises with a computer. |
Tutorship of group | Monitoring of the students' learning process. Content review and problem-solving sessions will be held. |
Lecture | Theoretical presentations in which the lecturer introduces the concepts, results and methods of the discipline. |
Personalized attention |
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Assessment |
Description | Qualification | ||
Practicals using information and communication technologies (ICTs) in computer rooms | Practicals will be assessed by means of an examination. | 10% | |
Extended-answer tests | Two partial written tests | 40%, 40% | |
Others | Online assessment tests | 10% | |
Other comments and second call | |||
In order to pass the course in the first call (ordinary call), by continuous assessment, it will be necessary to achieve a minimum mark of 4 points (out of 10) in both mid-term exams, and the final mark (including online tests and practicals' marks) must be higher than 5 (out of 10). Students who do not pass the first exam will have to sit the second call (extraordinary exam), which will consist of a single written exam with content from both parts. |
Sources of information |
Access to Recommended Bibliography in the Catalog ULE |
Basic |
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https://catoute.unileon.es/permalink/34BUC_ULE/4ifthk/alma991008847377605772 https://catoute.unileon.es/permalink/34BUC_ULE/1ekdeev/alma991008792181705772 |
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Complementary |
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https://catoute.unileon.es/permalink/34BUC_ULE/2dgtuo/cdi_askewsholts_vlebooks_9783030105310 https://catoute.unileon.es/permalink/34BUC_ULE/2dgtuo/cdi_askewsholts_vlebooks_9783030828080 |
Recommendations |
Subjects that it is recommended to have taken before | ||
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