In this course students engage in an internship under the supervision of a faculty member. The course is intended to help students apply, reinforce, and extend what they have learned in the classroom for their professional development. The production of a portfolio, project, or other form of summative work will allow the students to reflect on the semester's work in a focused synthesis. 10 hours of internship per week (150 hours in a semester) are generally equated with 3 credit hours. Course may be repeated up to 12 credit hours.

Medical practice is undergoing profound transformations. These changes have major implications for rural communities and the healthcare institutions that serve them. This course will provide an introductory exposure to healthcare in rural community settings. It is designed to deepen understanding of the opportunities and pitfalls and position participants to take leadership roles in their communities. To meet curricular demands, all students in the College of Medicine are required to own or have reliable access to a laptop computer meeting the minimum performance standards.

This course is designed to provide fourth year medical students with the foundational knowledge and skills in preparation for the supervised practice of medicine. Students will be divided into small groups dedicated to practice areas to hone the skill specific to their intended area of future practice. Within each group, students will review the foundational science and clinical applications of that knowledge.

This course is designed to provide fourth year medical students with the foundational knowledge and skills in preparation for the supervised practice of medicine. Students will be divided into small groups dedicated to practice areas to hone the skill specific to their intended area of future practice. Within each group, students will review the foundational science and clinical applications of that knowledge.

Students are matched with a community partner based on experience, career goals, and agency needs. Students work with the program and the partner sites to develop a project plan that details clinical, leadership, scholarly and administrative activities, which are determined based upon learning outcome goals and agency initiatives. Primary responsibilities include clinical service with individuals, families, and groups, assessment/testing, clinical consultation, student supervision, and administrative duties.

This course will include two major parts: machine learning theories and applications. Machine learning theories will cover legacy techniques (e.g., support vector machine, Bayesian inference) and then go deeper into deep learning (convolutional and recurrent neural network). The application part will cover some practical studies on how can we leverage the machine learning techniques to analyze the data collected from factory floors. Also, programming of the machine learning techniques (e.g., Python) will be covered in the class as well.

A detailed investigation of a topic of current significance in mechanical engineering such as: computer-aided manufacturing, special topics in robotics, and current topics in heat transfer. May be repeated under different subtitles to a maximum of nine credits. A particular topic may be offered at most twice under the ME 599 number.

This course teaches students about what it takes to make robots move the way we want them to move. There are three parts to the course. The first part discusses how to represent robot position and motion mathematically. The second part focuses on planning motions. The third part focuses on controlling the robot to achieve motion. In some cases, the planning and control are tied together. Throughout the course, students will use simulations to apply the concepts they are learning.

A detailed investigation of a topic of current significance in mechanical engineering. May be repeated to a maximum of nine credits under different subtitles. A particular topic may be offered at most twice under the ME 699 number.

Half-time to full-time work on thesis. May be repeated to a maximum of six semesters.