With the advice and approval of the faculty adviser and the Student Progress and Promotions Committee, the fourth-year student may choose approved electives offered by the various departments in the College of Medicine. The intent is to provide the student an opportunity to develop their fund of knowledge and clinical competence. 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.

With the advice and approval of the faculty adviser and the Student Progress and Promotions Committee, the fourth-year student may choose approved electives offered by the various departments in the College of Medicine. The intent is to provide the student an opportunity to develop their fund of knowledge and clinical competence. 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 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 manufacturing systems engineering such as: computer-aided manufacturing, special topics in robotics, and lean/agile manufacturing. May be repeated under different subtitles to a maximum of six credits. A particular topic may be offered at most twice under the MFS 599 number.

A detailed investigation of a topic of current significance in manufacturing systems engineering such as: computer-aided manufacturing, special topics in robotics, and lean/agile manufacturing. May be repeated under different subtitles to a maximum of six credits. A particular topic may be offered at most twice under the MFS 699 number.

Readings, projects, lecture and/or discussion to illuminate current topics of special interest or concern in management. May be repeated to a maximum of six credits. May not be repeated under the same title.

Course designed to accommodate students' independent exploration of specific topics within management. Course must be under the supervision of an instructor. May be repeated to a maximum of six credits. Up to three credit hours can fulfill the guided elective requirement for management majors.

Course designed to accommodate students' independent exploration of specific topics within management. Course must be under the supervision of an instructor. May be repeated to a maximum of six credits. Up to three credit hours can fulfill the guided elective requirement for management majors.

This course covers methods of negotiation and conflict resolution. Topics include: diagnosing negotiation situations, strategizing and planning upcoming negotiations, learning your preferred negotiating style, dealing with difficult negotiating partners, buying cars and houses, negotiating job offers, dealing with agents, multi-issue negotiations, multi-party negotiations, ethical considerations in negotiation, and global negotiations. This course focuses on developing students' negotiating skills, making them more confident and effective negotiators.

An examination of the problems and decisions inherent in the establishment, financing, and management of small business firms.