In December 2017, UTT was awarded Continuing Institutional Accreditation by the Accreditation Council of Trinidad and Tobago (ACTT) for the maximum period of seven (7) years (until 2024). This badge of excellence is UTT's assurance to its stakeholders that it meets and in some instances, surpasses, benchmarked standards of quality. It speaks of a UTT qualification that is relevant, recognised and respected by employers as well as other tertiary institutions. While ALL of UTT's programmes are accredited, some have attained specialised accreditation due to the need, in certain instances, to be licensed to operate in a specific profession. This carries proof of additional value in areas that potentially impact on public health and safety... Read More
UTT Patriots Table Tennis student-athlete, Javier King was named Most Valuable Player...
The University of Trinidad and Tobago (UTT) wishes to acknowledge the recent achievement of Michael Cherrie...
Christian Hood-Boyce, the recipient of a UTT sports scholarship in 2013, has embarked on an...
The steelpan is a percussive musical instrument that originated in Trinidad and Tobago in the 1930s. The advancement and influence of digital technology has impacted the design of many new musical instruments including the traditional steel pan, with digital versions of the instrument now available such as...
In a recently published Viewpoint article in the Caribbean Medical Journal, Dr. Umesh Persad, Associate Professor - Mechanical Engineering, Manufacturing, and Entrepreneurship (MME) Unit at The University of Trinidad and Tobago (UTT), and Dr. Marlon Mencia, Lecturer in Trauma and Orthopaedics at...
The use of 3D-printed anatomical models to visualise complex pathology is becoming more commonplace in orthopaedic surgical practice. 3D-printed models are created from high resolution patient scan data (such as CT and MRI) and can be used for preoperative planning, collaboration within the surgical team and as an aid to communication with the patient during consultation.
This paper describes a study of the new product development process within the food and beverage manufacturing sector of Trinidad and Tobago. A total of twenty-three (23) companies agreed to participate in the study.
The results demonstrate the usefulness of the TDA approach using machine learning and network visualisation to explore and extract insight from user capability data. The machine learning approach shows promise for application in future Ergonomics/Human Factors studies that capture large multivariate data sets. The Better Design pilot study points the way to future large-scale data collection efforts with multiple sensory, cognitive and motor variables.