Very Large Information Systems Lecture & Lab – Adjunct Faculty – Traditional Campus - (Spring 2027) – College of Engineering and Technology
Core
Teach lecture and lab courses on machine learning and large-scale information systems, including clustering, text categorization, and data manipulation techniques.
Role type
Adjunct faculty (instructor)
Builds
Course curriculum and student learning outcomes in data science and information systems
Domain
Higher Education / Data Science / Machine Learning
Deliverable
product features
Required skills
Python (pandas, numpy, matplotlib, scikit-learn, TensorFlow), Big Data Analytics, Data Science, Machine Learning, Information Retrieval, Statistical Analysis
Preferred skills
Master's degree in Computer Science or Statistics, experience in Big Data Analytics or Data Science
Technologies
Python, pandas, numpy, matplotlib, scikit-learn, TensorFlow
Responsibilities
Facilitate classroom lectures and discussions, Engage students in learning course objectives, Assess student performance and mentor success, Implement machine learning models and algorithms in the lab