Most modules require a 2.2 degree in a related discipline or equivalent professional experience. Should you have any queries regarding your eligibility, please contact us at email@example.com
N.B Sufficient mathematics background to be comfortable with integral calculus, probability theory, and basic linear algebra.
On completion of this module, learners should be able to:
• Explain basic principles of how an analog sensor signal can be converted reliably to a digital format for processing
• Translate signal representations between the time and frequency domains
• Design and implement digital filters and use them to remove noise or improve signal detection
• Describe and know how to address the core challenges in biomedical signal analysis, such as the interference of noise and artifacts in the signals
• Perform basic feature extraction and pattern classification for diagnostic applications
Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.
Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.
Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.
Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.
Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.