Guías Docentes Electrónicas
1. General information
Course:
STATISTICS AND COMPUTATIONAL METHODS
Code:
57306
Type:
BASIC
ECTS credits:
6
Degree:
409 - CHEMISTRY
Academic year:
2022-23
Center:
1 - FACULTY OF SCIENCE AND CHEMICAL TECHNOLOGY
Group(s):
23  20 
Year:
1
Duration:
C2
Main language:
Spanish
Second language:
English
Use of additional languages:
English Friendly:
Y
Web site:
Bilingual:
N
Lecturer: FRANCISCO PLA MARTOS - Group(s): 23  20 
Building/Office
Department
Phone number
Email
Office hours
Margarita Salas
MATEMÁTICAS
3468
francisco.pla@uclm.es

2. Pre-Requisites
To achieve the learning objectives of the subject is required basic knowledge and skills in elementary mathematical operations (powers, logarithms, exponentials, fractions, ...), basic knowledge of derivation and integration of real functions of a real variable, and fundamentals of graphical representation of functions are necessary.
3. Justification in the curriculum, relation to other subjects and to the profession
In any branch of Chemistry, Statistics is an essential tool for data organization, data analysis and interpretation of results in any chemical, academic and professional experimental activity. Likewise, the mathematical concepts studied in the subject of Statistics provide a precise language and help to enhance the capacity for abstraction, rigor, analysis and synthesis that are characteristic of Mathematics and necessary in any other scientific discipline.

4. Degree competences achieved in this course
Course competences
Code Description
CB01 Prove that they have acquired and understood knowledge in a subject area that derives from general secondary education and is appropriate to a level based on advanced course books, and includes updated and cutting-edge aspects of their field of knowledge.
E17 Develop the ability to relate to each other the different specialties of Chemistry, as well as this one with other disciplines (interdisciplinary character)
G01 Know the principles and theories of Chemistry, as well as the methodologies and applications characteristic of analytical chemistry, physical chemistry, inorganic chemistry and organic chemistry, understanding the physical and mathematical bases that require
T02 Domain of Information and Communication Technologies (ICT)
T03 Proper oral and written communication
T05 Organization and planning capacity
T07 Ability to work as a team and, where appropriate, exercise leadership functions, fostering the entrepreneurial character
T08 Skills in interpersonal relationships
5. Objectives or Learning Outcomes
Course learning outcomes
Not established.
Additional outcomes
Description
6. Units / Contents
  • Unit 1: Unidimensional descriptive statistics
    • Unit 1.1: Frequency distributions
    • Unit 1.2: Graphic representation
    • Unit 1.3: Measures of central tendency
    • Unit 1.4: Measures of variation
    • Unit 1.5: Introduction to the software R
  • Unit 2: Bidimensional descriptive statistics
    • Unit 2.1: Joint variable distribution
    • Unit 2.2: Simple linear regression
    • Unit 2.3: Correlation and simple regression analysis
    • Unit 2.4: ANOVA - Analysis of Variance
    • Unit 2.5: Nonlinear regression models
    • Unit 2.6: Applications with R
  • Unit 3: Introduction to Probability
    • Unit 3.1: Events. Sample space. Probability of an event.
    • Unit 3.2: Conditional probability and independence
    • Unit 3.3: Bayes' Theorem
  • Unit 4: Random variables and probability distributions
    • Unit 4.1: Notion of random variable
    • Unit 4.2: Functions of Random Variables
    • Unit 4.3: Mean and variance of a random variable. Chebyshev's theorem
    • Unit 4.4: Discrete probability distributions
    • Unit 4.5: Continuous probability distributions
  • Unit 5: Confidence Intervals
    • Unit 5.1: Mean and variance of a sample
    • Unit 5.2: Different estimating errors
    • Unit 5.3: One sample estimating confidence intervals
    • Unit 5.4: Two sample estimating confidence intervals
    • Unit 5.5: Applications with R
  • Unit 6: Hypothesis Testing
    • Unit 6.1: Testing a statistical hypothesis
    • Unit 6.2: Unilateral and bilateral hypothesis testing
    • Unit 6.3: Hypothesis testing for one population
    • Unit 6.4: Hypothesis testing for two populations
    • Unit 6.5: Nonparametric hypothesis testing
    • Unit 6.6: Applications with R
  • Unit 7: Advanced analysis of variance techniques
    • Unit 7.1: One way analysis of variance
    • Unit 7.2: Two-factor analysis of variance
    • Unit 7.3: Applications with R
7. Activities, Units/Modules and Methodology
Training Activity Methodology Related Competences ECTS Hours As Com Description
Class Attendance (theory) [ON-SITE] Lectures CB01 E17 G01 T02 T03 T05 T07 T08 1.16 29 N N
Problem solving and/or case studies [ON-SITE] Guided or supervised work CB01 E17 G01 T02 T03 T05 T07 T08 0.56 14 N N
Computer room practice [ON-SITE] Practical or hands-on activities CB01 E17 G01 T02 T03 T05 T07 T08 0.32 8 Y Y
Project or Topic Presentations [ON-SITE] Group Work CB01 E17 G01 T02 T03 T05 T07 T08 0.04 1 Y Y
Progress test [ON-SITE] Assessment tests CB01 E17 G01 T02 T03 T05 T07 T08 0.04 1 Y N
Progress test [ON-SITE] Assessment tests CB01 E17 G01 T02 T03 T05 T07 T08 0.16 4 Y Y
Final test [ON-SITE] Assessment tests CB01 E17 G01 T02 T03 T05 T07 T08 0.12 3 Y Y
Study and Exam Preparation [OFF-SITE] Self-study CB01 E17 G01 T02 T03 T05 T07 T08 3.6 90 N N
Total: 6 150
Total credits of in-class work: 2.4 Total class time hours: 60
Total credits of out of class work: 3.6 Total hours of out of class work: 90

As: Assessable training activity
Com: Training activity of compulsory overcoming (It will be essential to overcome both continuous and non-continuous assessment).

8. Evaluation criteria and Grading System
Evaluation System Continuous assessment Non-continuous evaluation * Description
Test 70.00% 80.00%
Projects 10.00% 10.00%
Progress Tests 10.00% 0.00%
Assessment of activities done in the computer labs 10.00% 10.00%
Total: 100.00% 100.00%  
According to art. 6 of the UCLM Student Evaluation Regulations, it must be provided to students who cannot regularly attend face-to-face training activities the passing of the subject, having the right (art. 13.2) to be globally graded, in 2 annual calls per subject , an ordinary and an extraordinary one (evaluating 100% of the competences).

Evaluation criteria for the final exam:
  • Continuous assessment:
    Evaluation criteria not defined
  • Non-continuous evaluation:
    Evaluation criteria not defined

Specifications for the resit/retake exam:
Evaluation criteria not defined
Specifications for the second resit / retake exam:
Evaluation criteria not defined
9. Assignments, course calendar and important dates
Not related to the syllabus/contents
Hours hours
Project or Topic Presentations [PRESENCIAL][Group Work] 1
Progress test [PRESENCIAL][Assessment tests] 1
Progress test [PRESENCIAL][Assessment tests] 4
Final test [PRESENCIAL][Assessment tests] 3

Unit 1 (de 7): Unidimensional descriptive statistics
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 2
Problem solving and/or case studies [PRESENCIAL][Guided or supervised work] 1
Computer room practice [PRESENCIAL][Practical or hands-on activities] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 8

Unit 2 (de 7): Bidimensional descriptive statistics
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 3
Problem solving and/or case studies [PRESENCIAL][Guided or supervised work] 2
Computer room practice [PRESENCIAL][Practical or hands-on activities] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 10

Unit 3 (de 7): Introduction to Probability
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Problem solving and/or case studies [PRESENCIAL][Guided or supervised work] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 14

Unit 4 (de 7): Random variables and probability distributions
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 7
Problem solving and/or case studies [PRESENCIAL][Guided or supervised work] 3
Study and Exam Preparation [AUTÓNOMA][Self-study] 16

Unit 5 (de 7): Confidence Intervals
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 5
Problem solving and/or case studies [PRESENCIAL][Guided or supervised work] 2
Computer room practice [PRESENCIAL][Practical or hands-on activities] 1
Study and Exam Preparation [AUTÓNOMA][Self-study] 15

Unit 6 (de 7): Hypothesis Testing
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Problem solving and/or case studies [PRESENCIAL][Guided or supervised work] 2
Computer room practice [PRESENCIAL][Practical or hands-on activities] 2
Study and Exam Preparation [AUTÓNOMA][Self-study] 15

Unit 7 (de 7): Advanced analysis of variance techniques
Activities Hours
Class Attendance (theory) [PRESENCIAL][Lectures] 4
Problem solving and/or case studies [PRESENCIAL][Guided or supervised work] 1
Computer room practice [PRESENCIAL][Practical or hands-on activities] 1
Study and Exam Preparation [AUTÓNOMA][Self-study] 12

Global activity
Activities hours
10. Bibliography and Sources
Author(s) Title Book/Journal Citv Publishing house ISBN Year Description Link Catálogo biblioteca
http://www.r-project.org Página web donde se puede descargar gratuitamente el software libre R así como documentación sobre su manejo.  
Canavos, George C. Probabilidad y estadistica : aplicaciones y métodos McGraw-Hill 968-451-856-0 1988 Libro de teoría con diversos problemas resueltos. Ficha de la biblioteca
Devore, Jay L. Probabilidad y estadística para ingeniería y ciencias Cengage Learning 978-607-481-619-8 2012 Ficha de la biblioteca
Horra Navarro, Julián de la Estadística aplicada Díaz de Santos 978-84-7978-554-3 2009 Libro de teoría con diversos problemas resueltos. Ficha de la biblioteca
Larsen, Richard J. An introduction to Mathematical Statistics and Its Applicati Prentice-Hall 0-13-487174-X 1986 Ficha de la biblioteca
López Fidalgo, Jesús El azar no existe / Electolibris, 978-84-943060-1-3 2015 Ficha de la biblioteca
Mansfield, Edwin Statistics for business and economics: problems, exercises, W. W. Norton & Company 0-393-95571-0 1987 Ficha de la biblioteca
Mendenhall, William Estadística matemática con aplicaciones Grupo Editorial Iberoamérica 968-7270-17-9 1986 Libro con diversas aplicaciones y problemas resueltos. Ficha de la biblioteca
Mendenhall, William Introduction to probability and statiscs PWS-KENT 0-534-98264-6 1991 Ficha de la biblioteca
Miller, J. C. Estadística para química analítica Addisson-Wesley Iberoamericana 0-201-60140-0 1993 Libro de aplicación de la Estadística a la Química con diversos problemas resueltos. Ficha de la biblioteca
Ross, Sheldon M. A first course in probability Prentice-Hall 0-13-896523-4 1998 Ficha de la biblioteca



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