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  • Courseware 
    Calculus with Theory

    Calculus with Theory

    The course is taught using the textbook by T. Apostol, "Calculus" Vol. I Second Edition (1967) and the additional course notes by James Raymond Munkres, Professor of Mathematics, Emeritus.

    Subjects:
    Mathematics and Statistics
    Keywords:
    Calculus Mathematical analysis
    Resource Type:
    Courseware
     
  • e-book 
    Process Management

    Process Management

    The content of the book has been structured into four technical research sections with total of 18 chapters written by well recognized researchers worldwide. These sections are: 1. process and performance management and their measurement methods, 2. management of manufacturing processes with the aim to be quickly adaptable after real situation demands and their control, 3. quality management information and communication systems, their integration and risk management, 4. management processes of healthcare and water, construction and demolition waste problems and integration of environmental processes into management decisions.

    Subjects:
    Management and Industrial and Systems Engineering
    Keywords:
    Industrial management Workflow -- Management
    Resource Type:
    e-book
     
  • e-book 
    Air Traffic Control

    Air Traffic Control

    This book includes nine chapters that demonstrate the multi-disciplinary character of the air traffic control domain.

    Subjects:
    Aeronautical and Aviation Engineering
    Keywords:
    Air traffic control
    Resource Type:
    e-book
     
  • Courseware 
    Database Systems

    Database Systems

    This course introduces the foundations of database systems, focusing on basics such as the relational algebra and data model, schema normalization, query optimization, and transactions. It is designed for students who have taken 6.033 (or equivalent); no prior database experience is assumed, though students who have taken an undergraduate course in databases are encouraged to attend.

    Subjects:
    Computing
    Keywords:
    Database management
    Resource Type:
    Courseware
     
  • Courseware 
    Introduction to Electric Power Systems

    Introduction to Electric Power Systems

    This course is an introductory subject in the field of electric power systems and electrical to mechanical energy conversion. Electric power has become increasingly important as a way of transmitting and transforming energy in industrial, military and transportation uses. Electric power systems are also at the heart of alternative energy systems, including wind and solar electric, geothermal and small scale hydroelectric generation.

    Subjects:
    Electrical Engineering
    Keywords:
    Electric power systems
    Resource Type:
    Courseware
     
  • Courseware 
    Solid-State Circuits

    Solid-State Circuits

    This is a course in analog circuit analysis and design. It covers the tools and methods necessary for the creative design of useful circuits using active devices. The class stresses insight and intuition, applied to the design of transistor circuits and the estimation of their performance. It concentrates on circuits using the bipolar junction transistor, but the techniques that we study can be equally applied to circuits using JFETs, MOSFETs, MESFETs, future exotic devices, or even vacuum tubes.

    Subjects:
    Electrical Engineering
    Keywords:
    Analog integrated circuits Linear integrated circuits
    Resource Type:
    Courseware
     
  • Courseware 
    Artificial Intelligence

    Artificial Intelligence

    This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.

    Subjects:
    Computing
    Keywords:
    Artificial intelligence
    Resource Type:
    Courseware
     
  • e-book 
    New Advances in Machine Learning

    New Advances in Machine Learning

    The purpose of this book is to provide an up-to-date and systematical introduction to the principles and algorithms of machine learning. The definition of learning is broad enough to include most tasks that we commonly call “learning” tasks, as we use the word in daily life. It is also broad enough to encompass computers that improve from experience in quite straightforward ways. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners. The wide scope of the book provides a good introduction to many approaches of machine learning, and it is also the source of useful bibliographical information.

    Course related:
    COMP4432 Machine Learning
    Subjects:
    Computing
    Keywords:
    Machine learning
    Resource Type:
    e-book
     
  • e-book 
    Machine Learning

    Machine Learning

    Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today’s state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote a new design of thinking machines and development philosophy. Considering the growing complexity and serious difficulties of information processing in machine learning, in Part II of the book, the theoretical foundations of machine learning are considered, and they mainly include self-organizing maps (SOMs), clustering, artificial neural networks, nonlinear control, fuzzy system and knowledge-based system (KBS). Part III contains selected applications of various machine learning approaches, from flight delays, network intrusion, immune system, ship design to CT and RNA target prediction. The book will be of interest to industrial engineers and scientists as well as academics who wish to pursue machine learning. The book is intended for both graduate and postgraduate students in fields such as computer science, cybernetics, system sciences, engineering, statistics, and social sciences, and as a reference for software professionals and practitioners.

    Course related:
    COMP4432 Machine Learning
    Subjects:
    Computing
    Keywords:
    Machine learning
    Resource Type:
    e-book
     
  • Presentation 
    Express path to interoperable solutions – Case of the Oncology Institute of Vojvodina, Serbia

    Express path to interoperable solutions – Case of the Oncology Institute of Vojvodina, Serbia

    This video was recorded at CeGD eGovernance Academy Seminar Series (SEeHealth): The Roadmap from Concept to Practice, Ljubljana 2010. The key of mutual integration of health care institutions lies in their interoperability, gathering and common utilization of data by different applications. Seemingly, imperceptible and smooth applications' integration enables an efficient mutual linkage of all departments within a single health care institution as well as horizontal and vertical linkage of more health care institutions, all with the aim of improvement of health and quality of patient's life. Health care system quality improvement needs a continuous rationalization of resources funds, which leads towards optimization of business processes and availability of all necessary information in the shortest possible period. All necessary information and data on patients must be available independently on location or time of such a necessity. The greatest obstacles for interoperability represent heterogeneous applications. Such heterogeneity can be presented by the fact that they were written in various program languages, that they are intended for utilization at different types of computers or the fact that they use various communication networks and data transfer methods. IT managers in hospitals must decide how to contribute to cross‐organizational integration and what strategy and means to choose for achieving interoperability. If a system is poor in its interoperability, any increasing functions or little changes could stop its working properly. Interoperability must be ensured at technical, semantic and process levels but also in a legislative level, where all recommendations for legal and lawful solutions are given, which remove the most frequent obstacles – human and bureaucratic factors. The Oncology Institute of Vojvodina as a referent center for oncology and a center for medical informatics signed its own Integrated hospital and business information system. The information system at the IOV consists of the following modules: 1. hospital‐clinical IS 2. laboratory IS 3. pharmaceutical IS 4. radiological IS 5. invoicing (accounting) IS 6. business IS 7. managerial IS All of these modules are mutually optimally integrated, and their interoperability at the level of communicational protocols (HL7, DICOM, internal interface), semantics (the same code‐records, rules) and legislative level (the same accounting calculations) enables the user to see all these complex modules as one system. Thus, we created necessary preconditions for our integration into information society, which is a 21st century strategy at the state level.

    Subjects:
    Health Sciences, Management, and Computing
    Keywords:
    Health services administration -- Data processing Management information systems Health services administration -- Computer networks
    Resource Type:
    Presentation
     
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