The course is organized in sessions of 3 hours. Each session consists of a theoretical part (theory classroom) that will introduce the new concepts followed by a practical part (computer room) where the students will work on the implementation of concepts explained in the theoretical part. In each session the teacher will indicate the students some tasks to do autonomously, such as reading articles, resolution of class exercises or sending reports. The material used by the teachers will be available on the Virtual Campus of the course.

In this course, the use of Artificial Intelligence (AI) technologies is allowed as an integral part of the development of the work, provided that the final result reflects a significant contribution from the student in terms of analysis and personal reflection. The student must clearly identify which parts have been generated using this technology, specify the tools used, and include a critical reflection on how these have influenced both the process and the final outcome of the activity. Lack of transparency in the use of AI will be considered a breach of academic integrity and may result in a penalty in the grade for the activity, or more serious sanctions in severe cases.

Annotation: within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.

BLOCK 1. Big Data in Drug Design (50%):

• Class exercises presentation (15%)
• Preparation of Practice Reports (15%)
• Bioinformatics Project Presentation before a committee (20%)

BLOCK 2. Big Data in Omics Data Analysis (50%):

• Class exercise presentation (15%)
• Preparation of Practice Reports (15%)
• Theoretical-Practical Test (20%)

The minimum overall grade required to pass the course will be 5 points. To calculate the average, the minimum grade for each of the assessable activities must be equal to or greater than 3,5 points.

In order to be eligible for the resit, students must have previously been assessed in a set of activities whose weight is equivalent to at least two-thirds of the total grade for the course. Students who have failed or not submitted one or more of the assessments may take the resit exam corresponding to the failed block. If the established threshold is not reached in any of the blocks during the resit, the final course grade will be the minimum of the block grades. This course does not allow for the single assessment system.

The commission of any irregularity in an assessment activity (academic fraud, plagiarism, or improper use of AI, unless such use is expressly authorized in the course guide) that may lead to a significant change in the grade will result in that activity being graded with a 0. If the course guide establishes that passing the subject requires obtaining a minimum mark in that assessment activity, or if multiple irregularities occur in the assessment activities of the same subject, the final grade for the subject will be 0. In addition, disciplinary proceedings may be initiated against any student who incurs any of these irregularities.