INSTRUCTOR: Computer Technology
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Role details
Tech stack
Job description
In this challenging role, you will be supporting the CPT-Computer Technology department at Greenville Technical College. Duties may include any or all of the following.
- Teach courses in applied artificial intelligence, programming, foundational information technology, and other Computer Technology subjects consistent with faculty credentials and departmental needs.
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Prepare lectures, syllabi, instructional materials, and hands-on learning activities. Implement and update course curriculum and develop classroom strategies that support student learning.
- Adhere to college and department guidelines and requirements.
- Provide classroom, online, and hybrid instruction using a variety of teaching methods.
- Design tests, exams, programming assignments, labs, and projects; assess student learning; and assign and post grades.
- Advise students on academic progress and program requirements.
- Assist in student recruitment and placement.
- Prepare and submit administrative reports.
- Maintain current technical and professional knowledge through professional development.
- Perform other duties as assigned.
Requirements
Doctorate or Masters degree with a major in Computer Science, Computer Engineering, Computer Technology, Cybersecurity, Information Systems, or a related field; or any Doctorate or Masters degree with 18 graduate semester hours in Computer Science, Computer Engineering, Computer Technology, Cybersecurity, Information Systems, or a related field., Preferred Qualifications: - Master’s or doctoral degree with a major in Computer Science, Data Science, Artificial Intelligence, Business Analytics, Data Analytics, Software Engineering, Software Development, Information Systems, Computer Information Systems, Management Information Systems, or a closely related field; or a master’s or doctoral degree with at least 18 graduate semester hours in these disciplines. Graduate coursework should support credentialing to teach across the Computer Technology curriculum. - Strong programming knowledge and practical experience with Python. - Practical experience with artificial intelligence, machine learning, generative AI, or data analytics. - Broad technical knowledge and experience in foundational information technology and related computing disciplines. - Relevant teaching experience in a student-focused higher education environment, preferably in applied AI, programming, or foundational information technology. - Relevant professional certifications or documented professional development in AI, programming, data science, analytics, or information systems.
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