صورة الغلاف

A Framework for a Master's in Applied Artificial Intelligence Program in Computer and Information Systems Discipline

محفوظ في:
الحاوية / القاعدة:Journal of Information Systems Education vol. 35, no. 4 (Fall 2024), p. 495
المؤلف الرئيسي: Shahid, Abdur R
مؤلفون آخرون: Mishra, Sushma
منشور في:
EDSIG
الموضوعات:
Software
Students
Information systems
Curricula
Computer vision
Machine learning
Innovations
Artificial intelligence
Project management
Natural language processing
Ethics
College students
Infrastructure
Computers
Academic disciplines
Graduate studies
Frame analysis
Governance
Data processing
Competency based learning
Information technology
Masters degrees
Work skills
Management Information Systems
Business Schools
Competence
Graduates
Experiential Learning
Influence of Technology
Expertise
Educational Technology
Innovation
Computer Science
Decision Making
Graduate Study
Language Processing
Problem Solving
Computer Software
Lifelong Learning
Masters Programs
Educational Facilities Improvement
الوصول للمادة أونلاين:Citation/Abstract
Full Text
Full Text - PDF
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
مستخلص:Due to the increasing demand for efficient, effective, and profitable applications of Artificial Intelligence (AI) in various industries, there is an immense need for professionals with the right skills to meet this demand. As a result, several institutions have started to offer AI programs. Yet, there is a notable gap in academia: the absence of a comprehensive, technically focused framework for developing a master's program in Applied AI specifically tailored to meet the demands of the Computer and Information Systems (CIS) discipline. This paper addresses this gap by proposing a graduate-level Applied AI program framework for CIS students. This framework comprises an example graduate-level curriculum that focuses on critical competencies in the application of AI, including data analytics, machine learning, natural language processing, computer vision, AI ethics and governance, AI project management, IT infrastructure for AI systems, and AI-driven innovation. By following this framework, institutions can develop customized master's programs that align with the evolving field of AI and prepare CIS graduates to excel in diverse industries.
تدمد:1055-3096
2574-3872
1055-3104
DOI:10.62273/EQZE3625
المصدر:ABI/INFORM Global