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Syllabus 2021-22 - 11712008 - Design and Analysis of Experiments (Diseño y análisis estadístico de experimentos)

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  • 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
DEGREE: Grado en Estadística y empresa
FACULTY: FACULTY OF LAW AND SOCIAL SCIENCES
ACADEMIC YEAR: 2021-22
COURSE: Design and Analysis of Experiments
SYLLABUS
1. COURSE BASIC INFORMATION
NAME: Design and Analysis of Experiments
CODE: 11712008 ACADEMIC YEAR: 2021-22
LANGUAGE: English LEVEL: 1
ECTS CREDITS: 6.0 YEAR: 3 SEMESTER: PC
2. LECTURER BASIC INFORMATION
NAME: OYA LECHUGA, ANTONIA
DEPARTMENT: U112 - ESTADISTICA E INVESTIGACIÓN OPERATIVA
FIELD OF STUDY: 265 - ESTADÍSTICA E INVESTIGACIÓN OPERATIVA
OFFICE NO.: B3 - 046 E-MAIL: aoya@ujaen.es P: 953212625
WEBSITE: http://www10.ujaen.es/conocenos/departamentos/estio/2955
ORCID: https://orcid.org/0000-0001-6203-7341
LANGUAGE: English LEVEL: 1
3. CONTENT DESCRIPTION

Introduction to the Statistical Design of Experiments

  • Statistical experimentation
  • Statistical design of experiments
  • Principles in experimental design

Completely Randomized Designs

  • One-way ANOVA
  • Multiple comparison methods
  • Analysis of variance assumptions
  • Statistical power and determination of sample size

   Randomized Complete-Block Designs

  • Analysis of variance
  • Topics closely related to complete-block designs
  • Model assumptions
  • Extensions: Latin-Square and Greco-Latin Square Designs

Factorial Designs

  • Fixed constants model
  • Model assumptions
  • Variance-component models
  • Higher-order factorial experiments

Designs for 2 k experiments

  • Designs for 2 2 experiments
  • Designs for 2 3 experiments
  • Designs for 2 k experiments
  • Confounding method
  • Fractional factorial designs      

Analysis of Covariance

  • Single-factor experiment with one covariate
  • Multiple comparison methods
  • Model assumptions
  • Introduction to other covariance models

4. COURSE DESCRIPTION AND TEACHING METHODOLOGY

Default teaching session language will be Spanish. These sessions are structured in:

  • theoretical sessions, where learning contents are developed and illustrative examples are shown
  • practical sessions to solve exercises on the board and also by using a statistical software.

Tutorial support sessions, bibliography, additional materials and exams will be available in English. Exchange international students electively can join regular course in Spanish whenever they wish.

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

5. ASSESSMENT METHODOLOGY

The assessment procedure consists of:

  • A writing exam with theoretical and practical exercises (80%). It will be necessary to obtain a minimum of 3.5 points out of 8 in this exam.
  • A continuous evaluation of the practical sessions in which the proposed exercises will be solved by using a statisitcal software (20%). The qualification obtained in this part in the ordinary call, will be saved for extraordinary calls.

6. BOOKLIST
MAIN BOOKLIST:
  • Design and analysis of experiments. Edition: -. Author: Dean, Angela. Publisher: Berlin: Springer, 1999  (Library)
  • Statistics for experimenters: an introduction to design, data analysis, and model building George E. P. Box, William G. Hunter, J. Stuart Hunter. Edition: -. Author: Box, George E. P.. Publisher: John Wiley & Sons  (Library)
  • Fundamentals of statistical experimental design and analysis [e-book] Robert G. Easterling, Cedar Crest, New Mexico, USA.. Edition: -. Author: Easterling, Robert G., author.. Publisher: John Wiley and Sons, Incorporated  (Library)
ADDITIONAL BOOKLIST:
  • The desing of experiments: statistical principles for practical applications. Edition: 1st ed., repr. Author: Mead, Roger. Publisher: Cambridge: Cambridge University Press, 1994  (Library)
  • Statistical principles in experimental design. Edition: -. Author: Winer, B.J.. Publisher: New York &#59; Madrid [etc.]: McGraw-Hill, cop. 1991  (Library)
  • introduction to statistical inference and its applications with R Michael W. Trosset. Edition: -. Author: Trosset, Michael W.. Publisher: Chapman & Hall CRC  (Library)
  • Statistical design and analysis of experiments: with applications to engineering and science Robert L. Mason, Richard F. Gunst, James L. Hess. Edition: 2nd ed. Author: Mason, Robert L.. Publisher: Wiley-Interscience  (Library)
  • Design and analysis of experiments Klaus Hinkelmann. Edition: -. Author: Hinkelmann, Klaus. Publisher: John Wiley & Sons  (Library)
7. VIRTUAL / CLASSROOM TEACHING SCENARIO

TEACHING METHODOLOGY AND TRAINING ACTIVITIES

Training activities

Mode (face to face/online)

Teaching methodology

Theoretical teaching sessions

Face to face (50-100%). It depends on the final number of students enrolled in the subject and the classroom capacity

30 master classes. Theoretical sessions will deal with the contents of the syllabus, through the explanation, illustration and exemplification of concepts. They will be supported by the electronic material that students will find in the virtual teaching space for the subject.

Practical and computer teaching sessions

Face to face (50-100%). It depends on the final number of student enrolled in the subject and the classroom capacity.

30 practical sessions to solve exercises on the board and also by using a statistical software.

Tutorial sessions

Online

Tutoring through email, videoconference and the ILIAS virtual teaching platform forum.

ASSESSMENT METHODOLOGY

Ordinary call

The assessment methodology consists of:

  • Theoretical-practical exam. The total value of this part will be 80% of the final mark.
  • Continuous evaluation of the computer skills by means of tests in which the proposed exercises will be solved by using a statisitcal software. The total value of this part will be 20% of the final mark.

The qualifications obtained in the computer practices will only be considered for the final mark if the student obtains 3.5 points or more out of 8 in the theoretical-practical exam.

The student who does not take the theory exam (80%) will be classified as "No Presentado" (not presented).

Extraordinary call

The qualifications obtained in the part of computer practices (20%) in the first ordinary call will be saved for the extraordinary calls. 

TEACHING    RESOURCES

  • Intranet site "Docencia Virtual"
  • Google Meet
  • Virtual PCs
  • Email
  • Electronic bibliographic resources

8. VIRTUAL TEACHING SCENARIO

TEACHING METHODOLOGY AND TRAINING ACTIVITIES

Training activities

Mode (face to face/online)

Teaching methodology

Theoretical teaching sessions

Online

30 master classes through online videoconference systems. They will deal with the contents of the syllabus, through the explanation, illustration and exemplification of concepts. They will be supported by the electronic material that students will find in the virtual teaching space for the subject.

Practical and computer teaching sessions

Online

30 problem solving and computer practices sessions through online videoconference systems.

Tutorial sessions

Online

Tutoring through email, videoconference and the ILIAS virtual teaching platform forum.

ASSESSMENT METHODOLOGY

During the development of the exams the student must be identified at all time through GSutie Meet (with camera and microphone connected.

Ordinary call

The assessment methodology consists of:

  • Theoretical-practical exam that will be conducted virtually and synchronously at the official call. The total value of this part will be 80% of the final mark. 
  • Continuous evaluation of the computer skills by means of online tests in which the proposed exercises will be solved by using a statisitcal software. The total value of this part will be 20% of the final mark. 

The qualifications obtained in the part of computer practices will only be considered for the final mark if the student obtains 3.5 points or more out of 8 in the theoretical-practical exam.

The student who does not take the theory exam (80%) will be classified as "No Presentado" (not presented).

Extraordinary call

The qualification obtained in the part of computer practices (20%) in the first ordinary call will be saved for the extraordinary calls. 

TEACHING  RESOURCES

  • Intranet site "Docencia Virtual"
  • Google Meet
  • Virtual PCs
  • Email
  • Electronic bibliographic resources

DATA PROTECTION CLAUSE (on line exams)

Institution in charge of data processing: Universidad de Jaén, Campus Las Lagunillas, s/n, 23071 Jaén

Data Protection Delegate: dpo@ujaen.es

Purpose: In accordance with the Universities Law and other national and regional regulations in force, carrying out exams and assessment tests corresponding to the courses students are registered in. In order to avoid frauds while sitting the exam, the exam will be answered using a videoconference system, being able the academic staff of the University of Jaén to compare and contrast the image of the person who is answering the exam with the student's photographic files. Likewise, in order to provide the exam with evidential content for revisions or claims, in accordance with current regulation frameworks, the exam will be recorded and stored.

Legitimacy: compliance with legal obligations (Universities Law) and other national and regional regulations currently in force.

Addressees: service providers who are the owners of the platforms where the exams are carried out and with whom the University of Jaén has signed the corresponding data access contracts.

Storage periods: those established in current in force regulations. In the specific case of exam videoconference recordings, not before the examination records and transcripts are closed or the exam can still be reviewed or challenged.

Rights: you can exercise your right of access, amendment, cancellation, opposition, suppression, limitation and portability by sending a letter to the postal or electronic address indicated above. In the event that you consider that your rights have been violated, you may submit a complaint to the Andalusian Council for Transparency and Data Protection www.ctpdandalucia.es

CLASS RECORDING CLAUSE PERSONAL DATA PROTECTION

Person in charge: Universidad de Jaén, Paraje Las Lagunillas, s/n; Tel.953 212121; www.ujaen.es

Data protection delegate (DPO): TELEFÓNICA, S.A.U. ; Email: dpo@ujaen.es

Procedure aim: To manage proper recordings of teaching sessions with the aim of facilitating learning process under a multimodal and/or online teaching

Period for record storage: Images will be kept during legal term according to regulations in force

Legitimacy: Data will be managed according to legal regulations (Organic Law 6/2001, December 21, on Universities) and given consent provided by selecting corresponding box in legal admission documents

Data recipients (transfers or assignments): Any person allowed to get access to every teaching modality

Rights: You may exercise your rights of access, rectification, cancellation, portability, limitation of processing, deletion or, where appropriate, opposition. To exercise these rights, you must submit a written request to the Information, Registration and Electronic Administration Service of the University of Jaen at the address above, or by e-mail to the address above. You must specify which of these rights you are requesting to be satisfied and, at the same time, you must attach a photocopy of your ID card or equivalent identification document. In case you act through a representative, legal or voluntary, you must also provide a document that proves this representation and identification. Likewise, if you consider that your right to personal data protection has been violated, you may file a complaint with the Andalusian Data Protection and Transparency Council www.ctpdandalucia.es