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Теория отраслевых рынков (Industrial Organization)

About this course: Курс посвящен факторам, влияющим на размер компаний и структуру рынка. Почему на одних рынках преобладают малые компании, а на другом крупные? Продавцы принимают решения стратегически, однако их стимулы в свою очередь зависят от структуры рынка и от предшествующих решений. Как разделить между зоной предопределенных и свободных решений? Например, сговор как модель ценового поведения – предопределен структурой рынка или служит результатом свободного волеизъявления? Способны ли укоренившиеся на рынке продавцы препятствовать входу новичков, защищая свою рыночную долю и свою прибыль? Каковы лучшие способы предотвращения ценовых сговоров продавцов? Нужно ли (или по крайней мере желательно) запрещать или ограничивать слияния между крупными продавцами? Есть ли необходимость для государственной политики налагать ограничения на условия договоров между производителем и дистрибьютором? Как в этих условиях должна быть организована государственная политика (применение антимоноп…

Intelligent Machining

Intelligent Machining

About this course: Manufacturers are increasingly utilizing machine tools that are self-aware – they perceive their own states and the state of the surrounding environment – and are able to make decisions related to machine activity processes. This is called intelligent machining, and through this course students will receive a primer on its background, tools and related terminology. Learn how the integration of smart sensors and controls are helping to improve productivity. You’ll be exposed to various sensors and sensing techniques, process control strategies, and open architecture systems that can be leveraged to enable intelligent machining. This course will prepare you to contribute to the implementation of intelligent machining projects. Main concepts of this course will be delivered through lectures, readings, discussions and various videos. This is the fifth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal.

Who is this class for: This course is for anyone interested in how digital advances are changing the landscape and capabilities of manufacturing, from high school graduates exploring careers to operations managers and business owners hungry for an understanding of the newest manufacturing technologies.

Created by:  University at Buffalo, The State University of New York

  • Rahul Rai
    Taught by:  Rahul Rai, Associate Professor
    Mechanical and Aerospace Engineering
Basic Info
Commitment4 weeks of study, 3 ½ hours per week
How To PassPass all graded assignments to complete the course.
User Ratings
Average User Rating 4.7See what learners said
Introduction to Intelligent Machining
The purpose of this module is to introduce the concepts related to intelligent machining paradigm. The key focus will be discussing two key components of intelligent machining, i.e., sensing and control.  
4 videos3 readings3 practice quizzes
  1. Video: Introduction to Intelligent Machining
  2. Video: Machining Basics
  3. Reading: Resources: Why Intelligent Machining
  4. Practice Quiz: Self-check
  5. Video: The Evolution of Intelligent Machining
  6. Reading: Resources: What Constitutes an Intelligent Machine?
  7. Practice Quiz: Self-check
  8. Video: Components of Intelligent Machining
  9. Reading: Resources: Components of Intelligent Machining
  10. Practice Quiz: Self-check
Graded: Introduction to Intelligent Machining
Sensors and Sensing Techniques
The purpose of this module is to introduce spectrum of sensors used to implement intelligent machining. The module will also discuss the basics of signal processing and analysis techniques that has brought intelligent machining paradigm closer to industrial realization. Following issues pertaining to sensors and sensing techniques will be elaborated up: (1) Which sensors are to be used in each application? (2) How to acquire and process sensor signals?
4 videos3 readings4 practice quizzes
  1. Video: Sensors
  2. Reading: Resources: Types of Sensors
  3. Practice Quiz: Self-check
  4. Video: Signal Processing
  5. Reading: Resources: Signal Processing
  6. Practice Quiz: Self-check
  7. Video: Transforming Data into Information
  8. Reading: Resources: Machine Learning: Setting the Context
  9. Practice Quiz: Self-check
  10. Video: Practical uses of machine learning
  11. Practice Quiz: Self-check
  12. Discussion Prompt: Let's talk robotics!
Graded: Sensors and Sensing Techniques
Process Control Strategies
The purpose of this module is to introduce the concept of Programmable Logic Controllers (PLCs) that co-ordinate the real-time control functions. 
4 videos4 readings4 practice quizzes
  1. Video: Programmable Logic Controllers (PLC)
  2. Reading: Resources: Introduction to Machining Process Control
  3. Practice Quiz: Self-check
  4. Video: Closed Loop Process Control Systems
  5. Reading: Resources: Adaptive Control with Optimization
  6. Practice Quiz: Self-check
  7. Video: Introduction to Adaptive Control
  8. Reading: Resources: Machining Force Control
  9. Practice Quiz: Self-check
  10. Video: Commercially Available Software
  11. Reading: Resources: Manufacturing Process Control: Commonly Used Software
  12. Practice Quiz: Self-check
Graded: Process Control Strategies
Future Directions in Advanced Machining
The purpose of this module is to introduce the background related to open architecture software systems to implement intelligent machining. 
3 videos5 readings1 practice quiz
  1. Video: Intelligent Machining and the Future
  2. Reading: Resources: Future Directions in Advanced Machining
  3. Practice Quiz: Self-check
  4. Video: Tech Talk on Metrology
  5. Video: Your 4.0 Roadmap to Success
  6. Reading: Your 4.0 Roadmap to Success -- Resources
  7. Reading: Your Roadmap Project: Step 5
  8. Discussion Prompt: Your 4.0 Roadmap to Success in Digital Manufacturing and Design Technology
  9. Reading: Intelligent Machining- Key Takeaways
  10. Reading: Intelligent Machining- Course References
Graded: Intelligent Machining- Future Directions
How It Works
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
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Help from Your Peers
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University at Buffalo
The University at Buffalo (UB) team includes the School of Engineering and Applied Sciences, the most comprehensive public school of engineering in New York; the Center for Industrial Effectiveness (TCIE), an engineering outreach center that supports the business community; and the Center for Educational Innovation, which elevates pedagogical advancement and improved learning. UB, a research-intensive public university, is the largest institution of the State University of New York system.
The State University of New York
The State University of New York, with 64 unique institutions, is the largest comprehensive system of higher education in the United States. Educating nearly 468,000 students in more than 7,500 degree and certificate programs both on campus and online, SUNY has nearly 3 million alumni around the globe.
Learn more about this course


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