-
the academic year and include some Saturdays. Serve on program committees and represent the program on College and University committees. Faculty members also have professional responsibilities which include
-
thinking, and technical proficiency; Enhance learning outcomes through regular assessment and collaboration with program faculty; Foster an inclusive and collaborative learning environment. Faculty members
-
homework, academic enrichment activities, and skill-building exercises to reinforce learning and promote academic success. Program Implementation: Collaborate with program coordinators and other staff
-
administrators to integrate technology effectively into the teaching and learning process. Student Employee Supervision: - Hire, train, supervise, and evaluate student employees who provide timely and effective
-
), and evaluation of student performance. The Product Design program blends faculty with diverse backgrounds in industrial design, product design, furniture design, metals/jewelry design, design research
-
Essential Duties/Responsibilities: Conduct courses in the Heavy Equipment Technology program. Delivery of instruction in a Lecture/Lab format. Curriculum enhancement, as needed, to meet NATEF standards
-
Electronics and Automation Engineering Technology (EAET). This position combines relevant experience in electronics and automation for a new program in the School of Engineering and Computing Technology (SECT
-
assessment; close consultation with program faculty, as well as training via the Faculty Center for Teaching and Learning. Faculty members also have professional responsibilities which may include but are not
-
courses. Assignments may be lectures or labs; face-to-face, blended or online in Big Rapids. A focus on student success, office hours and use of current technology are expected. This is a pooled position
-
Teaching assignment may include the following areas: machine learning; exploratory data analysis; feature engineering; information security; cyber competitions; special/emerging topics; data mining