Teaching GuideTerm
Faculty of Science
  Home | galego | castellano | english | A A |  
Grao en Bioloxía
 Subjects
  Statistics
Abrir nova vista Vista para imprimir Exportar a pdf
Identifying Data 2020/21
Subject (*) Statistics Code 610G02005
Study programme
Grao en Bioloxía
Descriptors Cycle Period Year Type Credits
Graduate 2nd four-month period
First Basic training 6
Language
Spanish
English
Teaching method Face-to-face
Prerequisites
Department Matemáticas
Coordinador
Jacome Pumar, Maria Amalia
E-mail
maria.amalia.jacome@udc.es
Lecturers
,
Jacome Pumar, Maria Amalia
López Cheda, Ana
Novo Díaz, Silvia
E-mail
rebeca.pelaez@udc.es
maria.amalia.jacome@udc.es
ana.lopez.cheda@udc.es
s.novo@udc.es
Web
General description This subject provides a first contact with the statistical techniques: statistical modelling, statistical tools to analyze data, and methods for the critical diagnosis and interpretation of the results in terms of the considered problem.
Contingency plan 1. Modifications to the contents No changes 2. Methodologies *Teaching methodologies that are maintained Short answer questions: (10% final score), questionnaires will be completed online using Moodle.udc.es Supervised projects: (15% final score); a practical project consisting on the analysis of a real data set with statistical software related to the Descriptive Statistics (ED) part *Teaching methodologies that are modified Guest lecture / keynote speech: not assessed. They will given using TEAMS in the time slot the subject is asigned in the official calendar. Besides, they may be complemented with SCORM videos of explanations and self-assessment tests (not assessed) in moodle.udc.es, so the students can check their own progress in the subject. ICT practicals: (not assessed). The face-to-face classes will be replaced with SCORM videos in moodle.udc.es, where the practical is fully explained. Besides, they will be complemented with weekly group tutorial sessions in TEAMS for follow-up and support. Finally, an example of a solved supervised project will be available in PDF in moodle.udc.es, to guide and help the students with that learning activity. Problem solving: not assessed. The face-to-face classes will be replaced with PDF files with the exercises explained and solved, and a solved exam from previous years (PDF) in moodle.udc.es Besides, the students will have weekly group tutorial sessions in TEAMS for follow-up and support. Objective test: (75% final score) it is modified as follows: (a) PROBABILITY block: (40% final score) it will be online using moodle.udc.es. The problems solution must be scanned and uploaded. The questions without scanned solution will not be scored. (b) ED-INFERENCE block: it will consist now on two different assessment activities: an objective test online using moodle.udc.es (20% final score) and a supervised project for the INF part (15% final score) 3. Mechanisms for personalized attention to students E-mail: Daily, to make queries, ask for tutorial sessions and for the follow-up of the practical projects. Videoconference (Teams): Weekly group tutorial sessions in TEAMS for follow-up and support. Also individual or group tutorial sessions on request. Moodle: Daily, according to the student’s needs. In the web platform Teams, the learning material will be stored. Discussion forums will be created linked to the units of the subject, to make queries and solve questions. 4. Modifications in the evaluation Objective test 40% (PROB) + 20% (ED -INF) Online in moodle.udc.es. For the PROB test, the problems solution must be scanned and uploaded. The questions without scanned solution will not be scored. In case of technical problems, the test might be done in a different time or day. Supervised projects 15% (ED) + 15% (INF) Practical project of analysis of a real data set with statistical software. Short answer questions 10% They will be online using Moodle.udc.es, one for each unit of the subject *Evaluation observations: During the course, two exemption exams might be performed, each for any of the two blocks, so that the student who passes any of the blocks with these exemption exams, will have the corresponding block passed regarding the may/july final exams. To pass the whole subject, it will be strictly necessary to pass each block separately. Otherwise, the final score will be 4.5 at most: (a) PROBABILITY: to pass this block the final score (objective test + short answer questions) must be 4.5/10 at least. (a) ED-INF: to pass this block the final score (objective test + short answer questions + supervised project) must be 4.5/10 at least. Besides, the score of the objective test must be 4/10 at least. 5. Modifications to the bibliography or webgraphy No changes, all the materials are available in Moodle.udc.es
(*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation.
Universidade da Coruña - Rúa Maestranza 9, 15001 A Coruña - Tel. +34 981 16 70 00  Soporte Guías Docentes