Industrial Economics for High Technology Applications

Adm 110

This course is designed to provide a comprehensive understanding of how modern industrial economics is shaped by technological advancements and to prepare students for effective participation in digitally driven industrial environments. It explores the principles of industrial economics with a focus on high technology applications and the influence of Industry... Read more

Advanced ⏱ 20 hours 📚 11 modules 📖 42 lessons
Industrial Economics for High Technology Applications

Learning Outcomes

  • Explain the fundamental principles of industrial economics and their applications in high technology environments.
  • Evaluate the impact of Industry 4.0 Technologies on industrial economics and business practices.
  • Use economic models to analyze market structures, pricing strategies, and strategic interactions in tech-driven markets.
  • Develop strategies for managing digital transformations and smart workspaces in industrial settings.
  • Understand and navigate the regulatory landscape affecting high-tech industries and industrial economics.

Course Description

This course is designed to provide a comprehensive understanding of how modern industrial economics is shaped by technological advancements and to prepare students for effective participation in digitally driven industrial environments. It explores the principles of industrial economics with a focus on high technology applications and the influence of Industry 4.0 technologies. It also aims to equip students and practitioners with advanced mathematical knowledge and skills necessary to effectively participate in digitally driven smart work environment, designed on the basis of modern industrial administration practices.

Course Curriculum

1. Fundamentals of Industrial Economics

4 lessons
  • Definition and scope of industrial economics
  • Historical development of industrial economics and related concepts
  • Historical development of industrial economics and related concepts
  • Importance of high technology environments in modern industrial transition

2. Fundamentals of Industry 4.0 Technologies

4 lessons
  • General concerns of Industry 4 Technologies
  • Understanding key Industry 4 technologies IoT AI robotics big data and blockchain
  • Understanding key Industry 4 technologies IoT AI robotics big data and blockchain
  • Impact of Industry 4 Technologies on industrial economics and business models

3. Economic Principles in High Technology Environments

3 lessons
  • Design of supply and demand in tech-driven markets
  • Cost structures and economies of scale
  • Pricing strategies and market power

4. Digital Transformation and Industrial Economics

3 lessons
  • Role of digital transformation in industrial settings
  • Case studies of successful digital transformations
  • Challenges and opportunities

5. Smart Work Environments and Industrial Administration

3 lessons
  • Design and management of smart workspaces
  • Role of administrators in high-tech environments
  • Best practices for digital administration.

6. Strategic Interactions and Market Structures

3 lessons
  • Game theory and strategic behavior
  • Analysis of market structures, monopolies, oligopolies, and competitive markets
  • Impacts of emerging technologies on market and production dynamics.

7. Policy and Regulation in the Digital Age

3 lessons
  • Industrial policies and regulations
  • Competition policy and antitrust laws
  • Regulatory challenges in high-tech industries

8. Innovation and Economic Growth

3 lessons
  • Role of innovation in industrial economics
  • Economic growth theories and high technology
  • Case studies of tech-driven economic growth

9. Sustainability and Industrial Economics

3 lessons
  • Sustainable practices in industrial settings
  • Economic implications of sustainability
  • Industry 4 and sustainable development

10. Topics in Advanced Mathematics as Applicable to Industrial Economics (a) Linear Algebr

10 lessons
  • Vector space
  • Linear transformations
  • Eigenvalues and eigenvectors
  • Orthogonality and least squares
  • Calculus Optimization techniques (maxima/minima)
  • Differential equations ODEs, PDEs
  • Integral calculus (definite/indefinite integrals)
  • Probability Theory: Random variables (discrete/continuous)
  • Probability distributions (Bernoulli/Normal/Poisson)
  • Bayes\' theorem and conditional probability

11. Future Trends in Industrial Economics

3 lessons
  • Emerging technologies and their economic impact
  • Future of work in high-tech industries
  • Preparing for the next industrial revolution

Course Details

  • Level: Advanced
  • Total Duration: 20 hours
  • Modules: 11
  • Lessons: 42
  • Passing Score: 70%
  • Certificate: Yes ✓

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