| General description |
This subject provides a first contact with advanced statistical techniques including: statistical modelling, statistical tools for data analysis, procedures to check structural assumptions on the models, and criteria to establish a critical review of the attained results, estimulating the interpretation of these results in terms of specific analyzed problem. The main objectives are:
- Domain of a broad range of statistical methods in an integrated way, but emphasizing the particular properties of each of them. Specifically, the pursued targets and the required conditions for their application.
- Obtaining valuable knowledge for a critical and rigorous analysis of the attained results.
- Complementing the practical aspects of the learning process with the use of statistical software.
|
| Contingency plan |
1. Modifications to the contents
No changes will be performed
2. Methodologies
*Teaching methodologies that are maintained
Short answer questions: (20% final score), it will be online using Moodle.udc.es
Supervised projects: (40% final score), they consist in the implementation of some of the different statistical methodologies to a real data set given by the teacher/s, using statistical software
*Teaching methodologies that are modified
Guest lecture / keynote speech: non assessable. They will given using TEAMS in the time slot the subject is asigned in the official calendar.
ICT practicals: non assessable. The face-to-face classes consisted of analyzing real data set using statistical software (R) in a computer lab. In case they cannot be carried out on-site, they will be replaced with fully detailed guidelines (PDF) so the students can follow them by themselves. The scheduled sessions in the official calendar for 4rd course in the Degree of Biology will be used to comment, correct and solve all the questions, using Teams.
Objective test: (40% final score) They will not be face-to-face anymore but online using moodle.udc.es.
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.
Videoconferencia (Teams) Individual or group tutorial sessions on request, previously scheduled using e-mail.
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% of the final score). For each block of the subject, it will consist of multiple choice and short answer questions, related to the application of the methods explained in the subject, and the interpretation of the corresponding results. In case of technical problems, the objective test might be done in a different time or day.
Supervised projects (40% of the final score). Practical project in group, with the implementation of some of the different statistical methodologies to a real data set given by the teacher/s, using statistical software.
Short answer questions (20% of the final score). They will be online using Moodle.udc.es, one for each unit of the subject
*Evaluation observations:
The score of the supervised projects will be kept during the current academic course. In case one (both) supervised project(s) is (are) not submitted for the first opportunity in January, it (they) will be required for the second opportunity in July. Part-time students and/or with academic exemption must submit these supervised projects as well.
To pass the subject, it will be strictly necessary to pass each block separately. Otherwise, if only one or no blocks are passed, the final score will be 4.5 at most. To pass each block, it is necessary that the score of the objective test is not lower than 3 out of 10.
For any of the two opportunities to pass the subject, the “NON PRESENTADO” grade will be given only to the students who did not submit any of the supervised projects nor take the objective test.
All these remarks are applied to the part-time students and/or with academic exemption.
5. Modifications to the bibliography or webgraphy
No changes will be performed, all the materials are available in moodle.udc.es
|
Subjects
