Checking date: 18/02/2025


Course: 2024/2025

Laboratory techniques
(19772)
Bachelor in Neuroscience (Plan: 517 - Estudio: 389)


Coordinating teacher:

Department assigned to the subject:

Type: Compulsory
ECTS Credits: 6.0 ECTS

Course:
Semester:




Learning Outcomes
K14: Can describe ideas using mathematical computational models, and is conversant with their programming languages, the functioning of neural operating systems, and their posible interactions with external devices. K15: Recognises techniques applicable to research and work in neuroscience laboratories, including medical imaging. S1: Uses a variety of techniques to find, manage, integrate and critically evaluate available information for the development of professional activities in Neuroscience, especially in the digital sphere S4: Uses their ability to analyse and synthesise, as well as to apply the principles of the scientific method in the work environment, in order to provide innovative responses to the needs and demands of society in their area. S5: Appropriately uses the scientific and technical vocabulary of the different subfields within Neuroscience. S7: Comprehends the computational and experimental tools used for analysis and quantification of neuroscience data, and can appropriately apply these tools to significant problems in neuroscience. C2: Apply knowledge about the organisation, structure and function of the Central Nervous System (CNS) to contribute to the evolution and improvement of technologies and systems for computing, data handling and analysis. C3: Apply knowledge about technologies for the study of the Nervous System and the brain (Medical Imaging, brain-machine interfaces) to develop new systems for diagnosis and treatment, as well as and other applications within Neuroscience (Artificial Intelligence, Robotics) with the aims of improving the quality of life and furthering social progress. C4: Uses advanced mathematical, statistical and computational tools to increase and improve knowledge in neuroscience and its applications. C5: Apply your neuroscience knowledge in a unifying and integrated fashion as part of a multidisciplinary team (pharmaceutical sector, health industry, diagnostic techniques, health information technologies, government agencies and regulatory bodies. C6: Apply the results of your comprehensive training to your everyday professional activities, combining Neuroscience knowledge with a solid foundation of ethical responsibility and respect for fundamental rights, diversity and democratic values. C7: Apply the scientific and technical principles you acquired during your undergraduate training, together with your own natural learning capabilities, to better adapt to novel opportunities arising from scientific and technological development.
Description of contents: programme
1. Introduction to laboratory work. Safety rules. Presentation and use of basic laboratory equipment. Introduction to the clinical environment. 2. Design and implementation of experimental protocols. The scientific method. Collecting results, obtaining conclusions and drawing up reports, understanding the limitations of the experimental method used. 3. Introduction to experimental and laboratory approaches. Levels of structural complexity: molecular, sub-cellular, cellular, tissue, organ and whole organism levels. 4. Biochemical techniques. 5. Separation techniques (Electrophoresis, Chromatography). Detection and quantification techniques (Mass spectrometry, MALDI/TOF). 6. Obtaining, handling and molecular techniques based on nucleic acids. 7. Advanced biomolecular titration techniques. Omics. 8. Basic immunological techniques 9. Basic microbiological techniques 10. Experimental cell and tissue techniques 11. Histopathology and immunohistochemistry. Advanced spatial imaging and microscopy. 12. Neuropsychological and behavioural testing. 13. Electrophysiological methods for the study of the nervous system. 14. Electromyography and somatosensory evaluation. 15. Invasive techniques for the study of the Nervous System. 16. Imaging technologies (X-ray, CT, PET, MRI).
Learning activities and methodology
Classroom lectures. Face-to-face classes: reduced (workshops, seminars, case studies). Student individual work. Laboratory session. Final exam. Seminars and lectures supported by computer and audiovisual aids. Practical learning based on cases and problems, and exercise resolution. Individual and group or cooperative work with the option of oral or written presentation. Individual and group tutorials to resolve doubts and queries about the subject. Internships and directed laboratory activities.
Assessment System
  • % end-of-term-examination 60
  • % of continuous assessment (assigments, laboratory, practicals...) 40




Extraordinary call: regulations

The course syllabus may change due academic events or other reasons.