AI for Business

Vrije Universiteit Amsterdam

Course Description

  • Course Name

    AI for Business

  • Host University

    Vrije Universiteit Amsterdam

  • Location

    Amsterdam, The Netherlands

  • Area of Study

    Business Administration

  • Language Level

    Taught In English

  • 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.

    Hours & Credits

  • ECTS Credits

    6
  • Recommended U.S. Semester Credits
    3
  • Recommended U.S. Quarter Units
    4
  • Overview

    Course Objective
    Academic & Research Skills
    - Approaching AI processes from a socio-technical perspective
    - Developing the ability to critically reflect on and examine theoriesand concepts

    Knowledge
    - 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 work

    Bridging 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 implementation

    Social 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 AI

    The 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

Faculty of Behavioural and Movement Sciences 

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