Harrisburg University’s education program focuses on individualized career advancement in high-growth and high-demand areas of study within science, technology, engineering, management, and mathematics disciplines.

The University’s approach is based on an experiential model that allows the student to gain and apply knowledge and skills at an advanced level and to focus on an area of need or interest particular to the student. Faculty combine corporate and academic perspectives in the design, development, and delivery of graduate programs and courses.

TRACK I | Graduate Course in Biosensors Biomedical Devices and Prototyping

During the past five years, biosensors have penetrated diverse markets with increasing adoption of biosensors into the environmental, process industry, security, and biodefense application markets.

Course Details
The course will familiarize students with basic principles of biosensors design and applications. Biosensors are one of the most innovative, complex, and fast-growing area of biotechnology today—the interface between biotechnology, nanotechnology and micro-electronics industries. The course covers a variety of biosensors based on whole cells, nucleic acids, proteins, antibodies and enzymes as well as new and emerging technologies related to designing, fabricating, and applying multi-array biochips and micro-fluidic systems (lab-on-the-chip). The course will then cover practical applications of this technology in health care, environment, medical diagnostics, defense etc.

TRACK II | Applied Artificial Intelligence

According to the Harvard Business Review, “The most important general purpose technology of our era is artificial intelligence.” Based on the explosive use of AI in all industry sectors, with highly publicized updates from Google, Amazon, IBM and others, any student planning for a technology career will benefit professionally from experience in this field.

Course Details
AI includes subfields like Machine Learning, Robotics, Data Mining, Business Intelligence, Analytics, Knowledge Representation, and Planning. With the explosion of data, these areas are focused on solving problems in almost every discipline. The magic of AI is to create systems that learn from experience, just as human do. This is a hands-on, project-based course that is designed to equip the students with the required knowledge to understand, analyze, and design smart systems. Programming projects include building Classifiers, Regressors, Recommenders, Path Finders, and Game Systems. A state-of-the art computer lab dedicated to AI and ML has been recently set up so students can work on their projects here. Dedicated and trained TAs staff the lab, providing assistance and encouragement.