Search Engines and Data Mining Lecture & Lab – Adjunct Faculty – Traditional Campus - (Summer 2026) – College of Engineering and Technology

Grand Canyon University•Phoenix, AZ

2d•Onsite

About The Position

Make a Difference at Grand Canyon University The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare them for the continuously changing worlds of IT and Engineering. Our faculty are energetic advisors who are committed to helping our students grow academically, spiritually, and personally. They are experts in their respective fields, in addition to being passionate educators and collaborators who help enhance the college experience for all students. Join our mission in helping others find their purpose and start your instructor career with GCU. The College of Engineering and Technology offers rewarding opportunities for adjunct faculty to teach part-time, face-to-face instruction at our Phoenix campus. If you are highly motivated and passionate about teaching exceptional quality instruction in modern facilities with smaller class sizes, we’d like to hear from you. GCU Traditional Campus – Phoenix, AZ: Courses are in-person and on-campus for the Summer 2026 Semester (05/04/2026 - 06/21/2026) Course: Search Engines and Data Mining Lecture & Lab This course provides a comprehensive introduction to neural networks and deep learning. The location, retrieval, and conversion of raw data into usable information is accomplished by implementing a variety of neural network models. Students implement deep learning algorithms for organizing and searching very large data collections, like those typically found in enterprise databases and on websites. Students use clustering and categorization to generate various information taxonomies based on document ranking, evaluation, and classification. The laboratory reinforces and expands deep learning principles introduced in the lecture. Hands-on activities focus on using neural networks for performing data mining on a large business database and extracting trends and actionable information.

Requirements

Bachelor in Statistics or closely related degree AND 5 or more years of experience in Big Data Analytics or Data Science with proficiency in Python.
All candidates must be proficient in Python programming, with an emphasis on pandas, numpy, matplotlib, scikit, and tensorflow.
Your unofficial transcript reflecting degree earned with 18 graduate credit hours in the areas listed above
Your unofficial transcripts for any applicable conferred graduate degrees

Nice To Haves

Master's in Computer Science or Statistics or closely related degree AND experience in Big Data Analytics or Data Science with proficiency in Python.

Responsibilities

Facilitate classroom lecture and discussions
Engage students in learning course objectives and topics
Assess student performance and mentor success in the classroom
Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement, and Mission of Grand Canyon University