Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through eighteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
Columbia University School of Professional Studies seeks industry professionals for the role of adjunct lecturer to develop and teach Artificial Intelligence and Machine Learning for Technology Leaders, a core course in the school’s M.S. in Technology Management program.
The program provides technology professionals at all stages of their careers - from recent graduates to more seasoned professionals - with the key strategic and tactical skills necessary to drive enhanced organizational performance and innovation through the use of technology and to become leaders in the field. The program’s curriculum can be found here.
Generative AI marks a defining technological shift with far-reaching consequences for the global economy and contemporary society. Artificial Intelligence and Machine Learning for Technology Leaders examines the decades-long evolution of artificial intelligence and machine learning, highlighting their rise as both an economic driver and a strategic imperative. Students will explore AI’s potential to transform industries, expand organizational capabilities, and surface complex challenges around security, identity, and ethics.
In today’s rapidly changing landscape, both established enterprises and governments must adapt quickly to the disruption and transformation AI brings. This course equips students with the critical knowledge to navigate the catalysts of this technological surge, understand its foundational principles, and develop the leadership mindset required to thrive in the AI era.
Responsibilities
Lead in-person and/or online class lectures, instructional activities, and classroom discussion
Evaluate student work and grade assignments
Monitor student concerns and inquiries and be the first point of contact for student questions
Hold weekly office hours
Prepare, maintain, and enhance the course in Canvas, Columbia University’s learning management system for onsite and online courses
Part‐time Lecturers who are new to SPS must complete Canvas training (online learning management system)
Attend Technology Management faculty meetings
Serving as an adjunct lecturer provides an outstanding opportunity to educate and mentor students in the field of technology management as well as to form a rewarding professional relationship with Columbia University’s world-class faculty.
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
Graduate degree in IT (e.g., computer science, software engineering, AI), business management, finance, or other related disciplines
Significant leadership roles with major corporations or consulting industry related to Technology Management focused on Digital Transformation and recent AI integration
Strong communication and problem solving skills and an ability to multi-task
Preferred Skills & Experience
A terminal degree in one of the above mentioned disciplines
2+ years graduate-level university teaching experience
Compensation - $10,000 - $15,000 per semester-length course.
Review of applications begins immediately and will continue until positions are filled.
All applicants, please provide:
A resume/CV inclusive of university teaching experience -- highlight teaching at the graduate level
A cover letter detailing detailing their suitability to teach the course and whether they are interested in teaching online (synchronously) or in-person
Evidence of teaching effectiveness (e.g., student evaluations of teaching, teaching observation summaries, etc.)
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
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