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  • MOOC 
    Machine Learning Specialization

    Machine Learning Specialization

    The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. This beginner-friendly program will teach you the fundamentals of machine learning and how to use these techniques to build real-world AI applications.
    This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field.
    This 3-course Specialization is an updated version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012.
    It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start.

    Course related:
    AAE5103 Artificial Intelligence in Aviation Industry
    Subjects:
    Computing, Data Science and Artificial Intelligence
    Keywords:
    Artificial intelligence Machine learning
    Resource Type:
    MOOC
     
  • Courseware 
    Green Supply Chain Management

    Green Supply Chain Management

    The half-semester graduate course in Green Supply Chain Management will focus on the fundamental strategies, tools and techniques required to analyze and design environmentally sustainable supply chain systems. Topics covered include: Closed-loop supply chains, reverse logistics systems, carbon footprinting, life-cycle analysis and supply chain sustainability strategy. Class sessions will combine presentations, case discussions and guest speakers. All students will work on a course-long team project that critically evaluates the environmental supply chain strategy of an industry or a publicly traded company. Grades will be based on class participation, case study assignments and the team project.

    Subjects:
    Logistics and Industrial and Systems Engineering
    Keywords:
    Business logistics Industrial management
    Resource Type:
    Courseware
     
  • Courseware 
    D-Lab: Supply Chains

    D-Lab: Supply Chains

    This course introduces concepts of supply chain design and operations with a focus on supply chains for products destined to improve quality of life in developing countries. Topics include demand estimation, capacity planning and process analysis, inventory management, and supply chain coordination and performance. We also cover issues specific to emerging markets, such as sustainable supply chains, how to couple product design with supply chain design and operation, and how to account for the value-adding role of a supply chain. A major aspect of class is the student projects on supply chain design or improvement.

    Subjects:
    Logistics
    Keywords:
    Business logistics
    Resource Type:
    Courseware
     
  • Courseware 
    BUS208: Principles of Management

    BUS208: Principles of Management

    Management is the organization and coordination of work to produce a desired result. A manager is a person who practices management by working with and through people in order to accomplish his or her organization's goals. When you think of the term manager, you may be imagining your supervisor as he or she hires and terminates employees and makes major decisions above your authority. However, although you may not view yourself in this way, you yourself may also be a manager. In fact, many of us practice management skills in the workplace every day. You may have a team of employees that you manage, or lead a project that requires management strategy, or demonstrate leadership qualities among your peers. These are all scenarios that require you to apply the principles of management. In this course, you will learn to recognize the characteristics of proper management by identifying what successful managers do and how they do it. Understanding how managers work is just as beneficial for the subordinate employee as it is for the manager. This course is designed to teach you the fundamentals of management as they are practiced today. This course will illustrate how management evolves as firms grow in size. It is based upon the idea that the essential purpose of a business is to produce products and services in order to meet the needs and wants of the marketplace. A manager marshals an organization's resources (its people, finances, facilities, and equipment) toward this fundamental goal. In this course, you will explore the tasks that today's managers perform and delve into the key knowledge areas that managers need to master in order to run successful and profitable businesses.

    Subjects:
    Management
    Keywords:
    Management
    Resource Type:
    Courseware
     
  • Courseware 
    Logistics and Supply Chain Management

    Logistics and Supply Chain Management

    This course surveys operations research models and techniques developed for a variety of problems arising in logistical planning of multi-echelon systems. There is a focus on planning models for production/inventory/distribution strategies in general multi-echelon multi-item systems. Topics include vehicle routing problems, dynamic lot sizing inventory models, stochastic and deterministic multi-echelon inventory systems, the bullwhip effect, pricing models, and integration problems arising in supply chain management. Probability and linear programming experience required.

    Subjects:
    Logistics and Industrial and Systems Engineering
    Keywords:
    Industrial management
    Resource Type:
    Courseware
     
  • Presentation 
    Driving Business Value with Linked Enterprise Data

    Driving Business Value with Linked Enterprise Data

    This video was recorded at 4th European Semantic Technology Conference (ESTC), Vienna 2010. Linked Enterprise Data goes beyond Semantic Web by including any data sources in an outside of business processes. The presentation shows how Linked Enterprise Data not only slimline it infrastructure but also enables automatic information logistics to combine process management and information retrieval. It is a way to reduce complexity challenging information growth and process variety and flexibility. Practical examples show the business needs and the implementation of related solutions to enable rationalization and quality assurance.

    Subjects:
    Computing, Data Science and Artificial Intelligence
    Keywords:
    Management information systems Information resources management Linked data
    Resource Type:
    Presentation
     
    OER