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  • Courseware 
    User Interface Design and Implementation

    User Interface Design and Implementation

    This course examines human-computer interaction in the context of graphical user interfaces. The course covers human capabilities, design principles, prototyping techniques, evaluation techniques, and the implementation of graphical user interfaces. Deliverables include short programming assignments and a semester-long group project. Students taking the graduate version also have readings from current literature and additional assignments.

    Subjects:
    Computing
    Keywords:
    Human-computer interaction User interfaces (Computer systems)
    Resource Type:
    Courseware
     
  • Courseware 
    Design and Analysis of Algorithms

    Design and Analysis of Algorithms

    This is an intermediate algorithms course with an emphasis on teaching techniques for the design and analysis of efficient algorithms, emphasizing methods of application. Topics include divide-and-conquer, randomization, dynamic programming, greedy algorithms, incremental improvement, complexity, and cryptography.

    Subjects:
    Computing
    Keywords:
    Algorithms
    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
     
  • Courseware 
    Computer Systems Security

    Computer Systems Security

    6.858 Computer Systems Security is a class about the design and implementation of secure computer systems. Lectures cover threat models, attacks that compromise security, and techniques for achieving security, based on recent research papers. Topics include operating system (OS) security, capabilities, information flow control, language security, network protocols, hardware security, and security in web applications.

    Subjects:
    Computing
    Keywords:
    Data protection Computer security Computer networks -- Security measures Data encryption (Computer science)
    Resource Type:
    Courseware
     
  • e-book 
    Advances in Security in Computing and Communications

    Advances in Security in Computing and Communications

    In the era of Internet of Things (IoT) and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, several new challenges are faced in protecting privacy of sensitive data and securing systems by designing novel schemes for secure authentication, integrity protection, encryption, and non-repudiation. Lightweight symmetric key cryptography and adaptive network security algorithms are in demand for mitigating these challenges. This book presents some of the state-of-the-art research work in the field of cryptography and security in computing and communications. It is a valuable source of knowledge for researchers, engineers, practitioners, graduates, and doctoral students who are working in the field of cryptography, network security, and security and privacy issues in the Internet of Things (IoT). It will also be useful for faculty members of graduate schools and universities.

    Subjects:
    Computing
    Keywords:
    Data protection Computer security Computer networks -- Security measures Data encryption (Computer science)
    Resource Type:
    e-book
     
  • e-book 
    Face Recognition

    Face Recognition

    Pattern recognition has gained significant attention due to the rapid explosion of internet- and mobile-based applications. Among the various pattern recognition applications, face recognition is always being the center of attraction. With so much of unlabeled face images being captured and made available on internet (particularly on social media), conventional supervised means of classifying face images become challenging. This clearly warrants for semi-supervised classification and subspace projection. Another important concern in face recognition system is the proper and stringent evaluation of its capability. This book is edited keeping all these factors in mind. This book is composed of five chapters covering introduction, overview, semi-supervised classification, subspace projection, and evaluation techniques.

    Subjects:
    Electronic and Information Engineering and Computing
    Keywords:
    Human face recognition (Computer science)
    Resource Type:
    e-book
     
  • e-book 
    Evolutionary Algorithms

    Evolutionary Algorithms

    Evolutionary algorithms are successively applied to wide optimization problems in the engineering, marketing, operations research, and social science, such as include scheduling, genetics, material selection, structural design and so on. Apart from mathematical optimization problems, evolutionary algorithms have also been used as an experimental framework within biological evolution and natural selection in the field of artificial life.

    Subjects:
    Computing
    Keywords:
    Mathematical optimization Genetic algorithms Evolutionary programming (Computer science)
    Resource Type:
    e-book
     
  • e-book 
    Modern Information Systems

    Modern Information Systems

    The development of modern information systems is a demanding task. New technologies and tools are designed, implemented and presented in the market on a daily bases. User needs change dramatically fast and the IT industry copes to reach the level of efficiency and adaptability for its systems in order to be competitive and up-to-date. Thus, the realization of modern information systems with great characteristics and functionalities implemented for specific areas of interest is a fact of our modern and demanding digital society and this is the main scope of this book. Therefore, this book aims to present a number of innovative and recently developed information systems. It is titled "Modern Information Systems" and includes 8 chapters. This book may assist researchers on studying the innovative functions of modern systems in various areas like health, telematics, knowledge management, etc. It can also assist young students in capturing the new research tendencies of the information systems' development.

    Subjects:
    Environmental Sciences and Computing
    Keywords:
    Medical informatics Knowledge management Management information systems
    Resource Type:
    e-book
     
  • e-book 
    Artificial Intelligence

    Artificial Intelligence

    Artificial intelligence (AI) is a potent buzzword and happening technology which has greatly impacted the lifestyle of every human being either directly or indirectly and is shaping the future of tomorrow. In fact, AI is fast becoming an intrinsic part of our daily life and is not confined to university research labs, even if remarkable progress has been made in this domain. The benefit of this phenomenon is widely recognized in diversified areas, ranging from medicine to security to consumer applications and business, and resulting in improvements in the quality of life of humankind. Every new disruptive technology has its own pros and cons and AI is no exception to this rule. Privacy, data protection, and the rights of individuals pose social and ethical challenges.

    Subjects:
    Computing
    Keywords:
    Artificial intelligence
    Resource Type:
    e-book
     
  • 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
     
  • Courseware 
    ESD.60 Lean/Six Sigma Processes

    ESD.60 Lean/Six Sigma Processes

    Students of this course will develop a broad understanding of Lean/Six Sigma principles and practices, build capability to implement Lean/Six Sigma initiatives in manufacturing operations, and learn to operate with awareness of Lean/Six Sigma at the enterprise level. All course materials are organized around a common "single-point lesson" (SPL) format, with some of the SPLs provided by the instructor and guests and with some developed and delivered by student teams.

    Subjects:
    Management and Computing
    Keywords:
    Quality control Six sigma (Quality control stard)
    Resource Type:
    Courseware
     
    OER
  • 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
     
    OER
  • Presentation 
    ERP-systems for SMEs in Ukraine, Best Practices

    ERP-systems for SMEs in Ukraine, Best Practices

    This video was recorded at Workshop on Advanced IT Solutions and Competitiveness of SMEs, Lviv 2006. It is generally recognized that the competitiveness of SMEs in the present-day business environment ultimately relies upon effective implementation of the most up-to-date information technologies. However, the Ukrainian IT space is characterized with highly noticeable information gap between IT-saturated export-oriented software development companies and ordinary businesses or governmental agencies. The seminar has provided perfect platform for the interaction between local SMEs, communicating their IT needs, and IT service providers like Intellias, briefing on their enterprise-based IT offerings. The seminar has assembled insightful speakers from Ukrainian and international IT companies, as well as representatives from research institutions, consulting firms and IT experienced SMEs. The case studies from Western Ukrainian companies, possessing experience in implementation of IT solutions in industrial process, have illustrated emerging difficulties in aligning IT automated process with qualifications and professional level of the involved personnel. The practical aspects of introducing ERP systems for optimization of production process have been presented by Vitaly Pyasetsky (Lvivkholod public corporation) and Andriy Tsehelyk (Enzyme joint-stock company). The discussion has further focused on the international experience of the implementation of the information technologies as well as networking and partnership practices. Valuable contributions to the topic has been made by Maria-Luisa Sanseverino E4 Project Coordinator from Centro Ricerche Fiat and Patric Sitek from Bremen Institute of Industrial Technology and Applied Work Science. Particular emphasis has been placed on the E4 Project: Extended Enterprise Management in Enlarged Europe including collaboration initiatives and close involvement of the Eastern European enterprises within its framework. The discussion has been reinforced by the case study on Ivano Frankivsk business portal, assembling best practices from abroad business development agencies.

    Subjects:
    Management and Computing
    Keywords:
    Enterprise resource planning Small business Ukraine Management information systems
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    Industry 1: Managing Richly Connected Information

    Industry 1: Managing Richly Connected Information

    This video was recorded at 5th International Semantic Web Conference (ISWC), Athens 2006. We examine research issues that arise when most information items in an enterprise can be linked to each other via short paths, implicit or explicit. In such high-recall settings, the treatment of metadata management, indexing and ranking needs new attention. Additional issues arise as to the best way to handle updates to the connections, whether on or off the transaction path. Even traditional techniques, such as classification and clustering of documents, which stand to benefit from the extra information provided by the so-called network of meaning, need to be reexamined for how best to exploit the extra information. The talk ends with an examination of some promising avenues for using high recall as a driver for the next wave of business process automation

    Subjects:
    Management and Computing
    Keywords:
    Information resources management Management information systems
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    OntoNaviERP: Ontology-supported Navigation in ERP Software Documentation

    OntoNaviERP: Ontology-supported Navigation in ERP Software Documentation

    This video was recorded at 7th International Semantic Web Conference (ISWC), Karlsruhe 2008. The documentation of Enterprise Research Planning (ERP) systems is usually (1) extremely large and (2) combines various views from the business and the technical implementation perspective. Also, a very specific vocabulary has evolved, in particular in the SAP domain (e.g. SAP Solution Maps or SAP software module names). This vocabulary is not clearly mapped to business management terminology and concepts. It is a well-known problem in practice that searching in SAP ERP documentation is difficult, because it requires in-depth knowledge of a large and proprietary terminology. We propose to use ontologies and automatic annotation of such large HTML software documentation in order to improve the usability and accessibility, namely of ERP help files. In order to achieve that, we have developed an ontology and prototype for SAP ERP 6.0. Our approach integrates concepts and lexical resources from (1) business management terminology, (2) SAP business terminology, (3) SAP system terminology, and (4) Wordnet synsets. We use standard GATE/KIM technology to annotate SAP help documentation with respective references to our ontology. Eventually, our approach consolidates the knowledge contained in the SAP help functionality at a conceptual level. This allows users to express their queries using a terminology they are familiar with, e.g. referring to general management terms. Despite a widely automated ontology construction process and a simplistic annotation strategy with minimal human intervention, we experienced convincing results. For an average query linked to an action and a topic, our technology returns more than 3 relevant resources, while a naïve term-based search returns on average only about 0.2 relevant resources.

    Subjects:
    Management and Computing
    Keywords:
    Enterprise resource planning Software documentation Ontologies (Information retrieval)
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    Linked Data at The New York Times: The First 161 Years

    Linked Data at The New York Times: The First 161 Years

    This video was recorded at 11th International Semantic Web Conference (ISWC), Boston 2012. The New York Times committment to Linked Data began over 160 years ago. Starting in 1851, The New York Times has always catalogued its archival articles using a controlled vocabulary of people, places, organizations and descriptors. In 2009 The New York Times started publishing this vocabulary as linked data using semantic web standards. In 2011 The Times announced the launch of several RESTful Semantic APIs. And in late 2012 and early 2013, The Times will migrate its entire process for vocabulary management to a system designed around the principles of Linked Data. In my remarks, I will survey the history of Semantic publishing at The New York Times, outline our semantic strategy, detail the business-case for linked data at The Times and provide an in-depth explanation of our new vocabulary management system.

    Subjects:
    Management and Computing
    Keywords:
    Linked data New York times
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    Using Data Mining Techniques to Address Critical Information Exchange Needs in Disaster Affected Public-Private Networks

    Using Data Mining Techniques to Address Critical Information Exchange Needs in Disaster Affected Public-Private Networks

    This video was recorded at 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Washington 2010. Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how to efficiently discover, collect, organize, search and disseminate real-time disaster information. In this paper, we address several key problems which inhibit better information sharing and collaboration between both private and public sector participants for disaster management and recovery. We design and implement a web based prototype implementation of a Business Continuity Information Network (BCIN) system utilizing the latest advances in data mining technologies to create a user-friendly, Internet-based, information-rich service and acting as a vital part of a company's business continuity process. Specifically, information extraction is used to integrate the input data from different sources; the content recommendation engine and the report summarization module provide users personalized and brief views of the disaster information; the community generation module develops spatial clustering techniques to help users build dynamic community in disasters. Currently, BCIN has been exercised at Miami-Dade County Emergency Management.

    Subjects:
    Management and Computing
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    The Cognitive Dissonance of Living in a world of "Big Data"

    The Cognitive Dissonance of Living in a world of "Big Data"

    This video was recorded at COIN / PlanetData Winter School on Knowledge Technologies for Complex Business Environments, Ljubljana 2011. Organized by COIN FP7 Integrated Project and PlanetData FP7 Network of Excellence, the school seeks to bring together students, scholars and researchers from industry in order to foster collaboration and interoperability with innovative services and project large-scale data management in business environments. The main topics of the winter school are: Interoperability and collaboration models and solutions, Enterprise interoperability and collaboration services, Innovative knowledge and semantically powered technologies, Knowledge process and context modelling, Pro-active knowledge tools, Large scale analytics and reasoning tools, Business cases and real case studies.

    Subjects:
    Management and Computing
    Keywords:
    Big data -- Social aspects Big data
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    Linked Data and APIs

    Linked Data and APIs

    This video was recorded at COIN / PlanetData Winter School on Knowledge Technologies for Complex Business Environments, Ljubljana 2011. Organized by COIN FP7 Integrated Project and PlanetData FP7 Network of Excellence, the school seeks to bring together students, scholars and researchers from industry in order to foster collaboration and interoperability with innovative services and project large-scale data management in business environments. The main topics of the winter school are: Interoperability and collaboration models and solutions, Enterprise interoperability and collaboration services, Innovative knowledge and semantically powered technologies, Knowledge process and context modelling, Pro-active knowledge tools, Large scale analytics and reasoning tools, Business cases and real case studies.

    Subjects:
    Management and Computing
    Keywords:
    Linked data Application program interfaces (Computer software)
    Resource Type:
    Presentation
     
    OER