Adjunct - Very Large Information Systems Lecture & Lab - Traditional Campus - College of Science, Engineering and Technology
Make a Difference at Grand Canyon University
Shape the bright futures of Grand Canyon University students as an adjunct faculty member for the traditional ground campus in the College of Science, Engineering and Technology . Through hands-on, inquiry-based learning, the college provides an outlet for innovation and cross-disciplinary exposure. It also features pre-professional degrees in biology, alongside our degrees in information systems, and a forensic science and exercise science program.
As an adjunct faculty member, you’ll provide program instruction incorporating innovative teaching methodologies, cutting-edge technologies and other industry trends reflecting advancements in your discipline. 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.
Course Description: CST-425: Very Large Information Systems Lecture & Lab:
- This course introduces modern theories, design, and implementation models for large scale text-based information systems. The information retrieval methodologies include Boolean, vector space, probabilistic, inference net, and language modeling. Students will acquire hands-on experience by implementing models such as clustering algorithms, automatic text categorization, and experimental evaluation. Students will experiment with cross-context retrieval algorithms, intelligent text summarization, topic detection, tagging, and tracking. The laboratory reinforces and expands learning of principles introduced in the lecture. Hands-on activities focus on implementing techniques for efficiently managing and manipulating very large data sets residing in a distributed SQL database. Prerequisites: CST-217 or CST-305 or SYM-400 and CST-307, CST-310, MAT-374.
Responsibilities include equipping students with the required skill set, facilitating classroom discussions, assessing student performance and preparing students to be successful leaders in their chosen profession. Other main responsibilities include the following:
- Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement and Mission of Grand Canyon University.
- Minimum: MS in Computer Science or closely related degree. Experience in Big Data Analytics.
Interested in GCU Faculty and Adjunct positions, but can't find a position that's right for you?
Submit your resume to our Faculty Jobs Talent Community to be considered for future opportunities. Visit the Faculty Jobs page on the GCU Career Site and scroll down to join the Talent Community.
GCU's Christian worldview has shaped the university's mission and growth for more than 65 years. As a Christ-centered higher education institution, GCU integrates faith, learning and work to connect the GCU community with distinct Christian principles and strong central values. The University values diversity among its students, faculty and staff, and invites applications from all qualified individuals, including minorities, females, individuals with disabilities and veterans. At GCU, working professionals may find their purpose in ways marked by compassion, service, integrity and concern for the common good.
Employment is contingent upon the satisfactory outcome (as determined by the university) of pre-employment screening activities, including a background check.
Only candidates who submit a resume and complete the full application will be considered - anyone without a resume will be declined automatically. For assistance with your job application please use our External Candidate Job Application Guide.
For more information on Grand Canyon University, visit us gcu.edu
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