Thanks to the generosity of the Bergami Family and the UNH Division of Student Affairs, eight UNH undergraduate students received a stipend to cover expenses related to their unpaid internship experience. The eight recipients will be reflecting on their internship experience over the course of the summer. This entry is from Franzel Pena, Computer Engineering Major, who is interning with Anchor Science LLC.
One of the aspects that I have enjoyed the most during this internship is applying the knowledge and skills, learned from courses and lectures, in order to formulate solutions and solve problems. Not only have I experienced how to apply the theorems learned in electrical and computer engineering courses, but I have also put chemistry lab techniques into practice, which I learned at the beginning of my academic career at UNH. The ability to put into practice the knowledge gained from classes is a skill that every student should flourish—Internships are a great way to make this possible.
In my internship, there are multiple projects occurring simultaneously that contribute to a larger goal—like puzzle pieces. In our latest project, I have been project member, who completes assigned tasks such as building systems with electrical components, programming algorithms, performing data analysis from experimental data, and is in charge of developing and managing a backup prototype, which will function as a way to achieve the project’s goal in case of failure. A large percent of the work that I perform consists of knowledge and skills gained from lectures and the classroom since my work deals with technical skills such as programming and circuit design. Courses such as Intermediate C/C++ Programming, Signals & Systems, Random Signal Analysis, and Electronics have provided skills, which are essential for the type of work that I perform in my internship.
A recent event that allowed me to understand better how powerful and fundamental is our classroom experience, happened while gathering experimental data. When performing experiments, we deal with signals that include added Gaussian noise. Having the theoretical knowledge about signals, transmissions, and noise before encountering this situation provided me with a perspective to the problem. Recognizing that the desired signal is subjected to noise saved our team valuable time and allowed the formulation of an effective approach. Knowledge and information gained from the classroom will set a great start for one’s professional career.