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Course Description
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Course Name
AI for Business
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Host University
Vrije Universiteit Amsterdam
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Location
Amsterdam, The Netherlands
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Area of Study
Business Administration
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Language Level
Taught In English
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Course Level Recommendations
Upper
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
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ECTS Credits
6 -
Recommended U.S. Semester Credits3
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Recommended U.S. Quarter Units4
Hours & Credits
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Overview
Course Objective
Academic & Research Skills
- Approaching AI processes from a socio-technical perspective
- Developing the ability to critically reflect on and examine theoriesand conceptsKnowledge
- Defining, describing and recalling the basic concepts, constituent components, principles and theories underlying the development and implementation of AI solutions for business
- Understanding the impact of AI solutions on organizational processes and workBridging Theory & Practice
- Choosing, applying, and evaluating AI concepts, principles and solutions to solve business problems and recognize opportunities for creating innovative products and services
- Recognizing and mitigating challenges to effective and responsible AI development and implementationSocial skills
- Being able to work in multi-disciplinary teams
- Being able to communicate project results through presentation and writing
- Being able to connect to both technical and managerial audiences
Course Content
Organizations are increasingly trying to leverage Artificial Intelligence (AI) to solve business problems and create innovative products and services. However, AI is also prone to a number of limitations and challenges. In this course, students will learn about:
- basic AI concepts, techniques, and solutions
- how organizations utilize AI to improve and innovate their business
- the impact of AI on organizational processes and work
- major challenges to the effective and responsible development and implementation of AI in organizations
- relevant concepts, theories and frameworks that help to understand how organizations may overcome challenges related to the development and implementation of AIThe course primarily has a managerial focus.
Additional Information Teaching Methods
Lectures and workshops
Method of Assessment
Group project
Individual take-home essay exam
Both components are mandatory for passing the course.
Entry Requirements
Period 1 courses of the minor Managing Digital Innovation
Literature
Various papers and book chapters that will be made available through
Canvas.
Additional Information Target Audience
This course is part of the minor Managing Digital Innovation. This minor is accessible for all VU students and outside VU students (except VU BA and IBA students).
Explanation Canvas
Use of Canvas is mandatory. All the updates regarding the course content, schedules, assignments and grading will be communicated on Canvas.
Course Disclaimer
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.