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  • 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
     
  • Video 
    Derek Banas Programming Tutorials

    Derek Banas Programming Tutorials

    A series of video that cover various computing topics, for example, C++ programming, C# programming, Python, and Java.

    Subjects:
    Computing
    Keywords:
    Computer programming
    Resource Type:
    Video
     
  • e-book 
    Delftse Foundations of Computation

    Delftse Foundations of Computation

    Delftse Foundations of Computation is a textbook for a one quarter introductory course in theoretical computer science. It includes topics from propositional and predicate logic, proof techniques, set theory and the theory of computation, along with practical applications to computer science. It has no prerequisites other than a general familiarity with computer programming.

    Subjects:
    Computing
    Keywords:
    Computer science Textbooks
    Resource Type:
    e-book
     
  • e-book 
    Deep into Pharo

    Deep into Pharo

    Pharo is a clean, innovative, open-source, live-programming environment. Deep into Pharois the second volume of a series of books covering Pharo. Whereas the first volume is intended for newcomers, this second volume covers deeper topics.You will learn about Pharo frameworks and libraries such as Glamour, PetitParser, Roassal, FileSystem, Regex, and Socket. You will explore the language with chapters on exceptions, blocks, small integers, and floats. You will discover tools such as profilers, Metacello and Gofer.

    Subjects:
    Computing
    Keywords:
    Textbooks Smalltalk-80 (Computer program language)
    Resource Type:
    e-book
     
  • Others 
    OER

    Deep Learning in GeoSpatial Artificial Intelligence

    Geospatial artificial intelligence sometimes referred to as geoAI is recently receiving so much attention. From large-scale projects to smaller projects. GeoAI can be referred to as using artificial intelligence with Geographical information system to analyse and produce solution-based predictions.

    Subjects:
    Computing and Land Surveying and Geo-Informatics
    Keywords:
    Geospatial data Geographic information systems Artificial intelligence
    Resource Type:
    Others
     
  • MOOC 
    Deep Learning Specialization. Master Deep Learning, and Break into AI

    Deep Learning Specialization. Master Deep Learning, and Break into AI

    If you want to break into AI, this Specialization will help you do so. Deep Learning is one of the most highly sought after skills in tech. We will help you become good at Deep Learning. In five courses, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more. You will work on case studies from healthcare, autonomous driving, sign language reading, music generation, and natural language processing. You will master not only the theory, but also see how it is applied in industry. You will practice all these ideas in Python and in TensorFlow, which we will teach. You will also hear from many top leaders in Deep Learning, who will share with you their personal stories and give you career advice. AI is transforming multiple industries. After finishing this specialization, you will likely find creative ways to apply it to your work. We will help you master Deep Learning, understand how to apply it, and build a career in AI.

    Course related:
    AMA564 Deep Learning
    Subjects:
    Computing
    Keywords:
    Machine learning Neural networks (Computer science) Artificial intelligence
    Resource Type:
    MOOC
     
  • Others 
    Deep Learning

    Deep Learning

    Use TensorFlow to take machine learning to the next level. Your new skills will amaze you.

    Subjects:
    Computing
    Keywords:
    Python (Computer program language) Machine learning
    Resource Type:
    Others
     
  • e-journal 
    David Publishing Company

    David Publishing Company

    In this journal platform, you can find the articles which published under the Creative Commons Attribution-NonCommercial 4.0 International License. The journal covers a various disciplines, including:
    Biomedical & Life Sciences
    Business & Management
    Chemistry & Material Science
    Computer & Communications
    Earth & Environmental Science
    Engineering
    Humanities
    Physics & Mathematics
    Social Sciences

    Subjects:
    Management, Physics, Chemistry, Computing, Mathematics and Statistics, Biology, and Environmental Sciences
    Keywords:
    Industrial management Computer science Management Physics Mathematics Social Sciences Chemistry Engineering Environmental sciences Humanities Biology
    Resource Type:
    e-journal
     
  • e-book 
    Database design

    Database design

    "Database Design - 2nd Edition covers database systems and database design concepts. New to this edition are SQL info, additional examples, key terms and review exercises at the end of each chapter."--BCcampus website.

    Subjects:
    Computing
    Keywords:
    Database design Textbooks
    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
     
  • e-book 
    Database Design - 2nd Edition

    Database Design - 2nd Edition

    This second edition of Database Design book covers the concepts used in database systems and the database design process. Topics include: The history of databases Characteristics and benefits of databases Data models Data modelling Classification of database management systems Integrity rules and constraints Functional dependencies Normalization Database development process New to this edition are more examples, highlighted and defined key terms, both throughout and at the end of each chapter, and end-of-chapter review exercises. Two new chapters have been added on SQL, along with appendices that include a data model example, sample ERD exercises and SQL lab with solutions.

    Subjects:
    Computing
    Keywords:
    Database design Textbooks
    Resource Type:
    e-book
     
  • Others 
    Data visualisation.ch

    Data visualisation.ch

    Datavisualization.ch is a resource for data visualization and infographics. You'll find articles about events, tools, datasets, and showcases.

    Course related:
    LSGI2B01 Map Reading and Interpretation and SD1105 Digital Literacy for Designers
    Subjects:
    Visualisation, Land Surveying and Geo-Informatics, and Computing
    Keywords:
    Information visualization
    Resource Type:
    Others
     
  • Others 
    Data Visualization

    Data Visualization

    Make great data visualizations. A great way to see the power of coding!

    Subjects:
    Computing
    Keywords:
    Information visualization Python (Computer program language)
    Resource Type:
    Others
     
  • MOOC 
    Data Science Methodology

    Data Science Methodology

    Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.
    This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.
    Accordingly, in this course, you will learn:
    - The major steps involved in tackling a data science problem.
    - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.
    - How data scientists think!

    Course related:
    LGT6801 Guided Study in Logistics I, LGT6202: Stochastic Models and Decision under Uncertainty, LGT6802 Guided Study in Logistics II, and LGT6803: Guided Study in Logistics III
    Subjects:
    Business Information Technology and Computing
    Keywords:
    Electronic data processing Data mining Problem solving
    Resource Type:
    MOOC
     
  • MOOC 
    Data Science

    Data Science

    Data science has critical applications across most industries, and is one of the most in-demand careers in computer science. Data scientists are the detectives of the big data era, responsible for unearthing valuable data insights through analysis of massive datasets. And just like a detective is responsible for finding clues, interpreting them, and ultimately arguing their case in court, the field of data science encompasses the entire data life cycle. That starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale. This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Finally, these findings must be presented using data visualization and data reporting skills to help business decision makers. Depending on the size of the company, data scientists may be responsible for this entire data life cycle, or they might specialize in a particular portion of the life cycle as part of a larger data science team

    Subjects:
    Computing
    Keywords:
    Machine learning Data mining Big data
    Resource Type:
    MOOC
     
  • Courseware 
    Data Analysis: Visualization and Dashboard Design

    Data Analysis: Visualization and Dashboard Design

    This course covers the main tasks required from data analysts today, including importing, summarizing, interpreting, analyzing and visualizing data. It aims to equip you with the tools that will enable you to be an independent data analyst. Most techniques will be taught in Excel with add-ons and free tools available online. You will learn: - How to make data come to life with well-known types of visualizations such as line and bar graphs and new types of visualizations such as spark lines, contour plots and population pyramids. - How to create dashboards in Excel based on live data that can meet managerial and business needs. - How to connect data from different sources, such as the web and exports from your CRM, ERP, SAP or data warehouse. - Some hands-on data science and how to use actionable analysis tools. - Deep dive into known tools like PivotTables and introduce new ones like the analysis toolpak

    Subjects:
    Computing
    Keywords:
    Visual analytics Information visualization Industrial management -- Data processing Dashboards (Management information systems) Microsoft Excel (Computer file)
    Resource Type:
    Courseware
     
  • Courseware 
    Data Analysis: Take it to the MAX

    Data Analysis: Take it to the MAX

    This course is for all of those struggling with data analysis. You will learn: - Overcome data analysis challenges in your work and research - Increase your productivity and make better business decisions - Enhance your data analysis skills using spreadsheets - Learn about advanced spreadsheet possibilities like array formulas and pivottables - Learn about Excel 2013 features like PowerPivot & PowerMap - Learn to organize and test your spreadsheets

    Subjects:
    Computing
    Keywords:
    Electronic spreadsheets -- Computer programs Visual analytics Python (Computer program language) Information visualization Microsoft Excel (Computer file)
    Resource Type:
    Courseware
     
  • Courseware 
    Data Analysis: Building your Own Business Dashboard

    Data Analysis: Building your Own Business Dashboard

    Are you ready to leave the sandbox and go for the real deal? Have you followed Data Analysis: Take It to the MAX() and Data Analysis: Visualization and Dashboard Design and are ready to carry out more robust data analysis? In this project-based course you will engage in a real data analysis project that simulates the complexity and challenges of data analysts at work. Testing, data wrangling, Pivot Tables, sparklines? Now that you have mastered them you are ready to apply them all and carry out an independent data analysis. For your project, you will pick one raw dataset out of several options, which you will turn into a dashboard. You will begin with a business question that is related to the dataset that you choose. The datasets will touch upon different business domains, such as revenue management, call-center management, investment, etc.

    Subjects:
    Computing
    Keywords:
    Visual analytics Information visualization Industrial management -- Data processing Dashboards (Management information systems)
    Resource Type:
    Courseware
     
  • Others 
    Data Analysis with Python

    Data Analysis with Python

    Python can be easy to pick up whether you're a first time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way writing programs with Python!

    Subjects:
    Computing
    Keywords:
    Computer programming Python (Computer program language) Information visualization Computer science
    Resource Type:
    Others
     
  • Video 
    Cryptography 101 - The Basics

    Cryptography 101 - The Basics

    This video introduces basic terminology in cryptography, including what is a ciphertext, plaintext, keys, public key crypto, and private key crypto. This is a video shared via the picoCTF youtube channel. picoCTF is a platform organized by Carnegie Mellon University (“CMU”)

    Subjects:
    Computing
    Keywords:
    Cryptography Data encryption (Computer science)
    Resource Type:
    Video
     
  • MOOC 
    Crash Course on Python

    Crash Course on Python

    This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem. We'll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.

    Course related:
    COMP1001 Problem Solving Methodology in Information Technology
    Subjects:
    Computing
    Keywords:
    Python (Computer program language)
    Resource Type:
    MOOC
     
  • Video 
    Crash Course Computer Science

    Crash Course Computer Science

    In 40 episodes, Carrie Anne Philbin teaches you computer science! This course is based on introductory college-level material as well as the AP Computer Science Principles guidelines. By the end of this course, you will be able to:

    *Outline the history of computers and the design decisions that gave us modern computers

    *Describe the basic elements of programming and software

    *Identify the basic components of computer hardware and what they do

    *Describe how computers are used and how that has evolved over time

    *Appreciate how far computers have come and how far they might take us

    Course related:
    AMA2222 Principles of Programming
    Subjects:
    Computing
    Keywords:
    Computer science
    Resource Type:
    Video
     
  • Video 
    Crash Course Artificial Intelligence

    Crash Course Artificial Intelligence

    In 20 episodes, Jabril will teach you about Artificial Intelligence and Machine Learning! This course is based on a university-level curriculum. By the end of the course, you will be able to: * Define, differentiate, and provide examples of Artificial Intelligence and three types of Machine Learning: supervised, unsupervised, and reinforcement * Understand how different AI and ML approaches can be combined to create compelling applications such as natural language processing, robotics, recommender systems, and web search * Implement several types of AI to classify images, generate text from examples, play video games, and recommend content based on past preferences * Understand the causes of algorithmic bias and audit datasets for several of these causes

    Subjects:
    Computing
    Keywords:
    Human-Computer Interaction Machine learning Artificial intelligence
    Resource Type:
    Video
     
  • Others 
    Cplusplus.com: Reference

    Cplusplus.com: Reference

    The elements of the C language library are also included as a subset of the C++ Standard library. These cover many aspects, from general utility functions and macros to input/output functions and dynamic memory management functions

    Course related:
    COMP1011 Programming Fundamentals
    Subjects:
    Computing
    Keywords:
    C++ (Computer program language) C (Computer program language)
    Resource Type:
    Others
     
  • Presentation 
    Content as basis for Social Connectness …as basis for better User Experience

    Content as basis for Social Connectness …as basis for better User Experience

    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. Detailed information can be found here.

    Subjects:
    Management and Computing
    Keywords:
    Online social networks Computer software -- Development -- Social aspects Computer networks -- Social aspects Social networks
    Resource Type:
    Presentation
     
    OER
  • 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
     
  • Video 
    Computer Software Challenges for Aerospace Missions

    Computer Software Challenges for Aerospace Missions

    An online lecture on the topic of "Computer Software Challenges for Aerospace Missions".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.

    Subjects:
    Aeronautical and Aviation Engineering and Computing
    Keywords:
    Aeronautics -- Data processing Computer programming
    Resource Type:
    Video
     
  • e-book 
    Computer Networks: A Systems Approach

    Computer Networks: A Systems Approach

    Suppose you want to build a computer network, one that has the potential to grow to global proportions and to support applications as diverse as teleconferencing, video on demand, electronic commerce, distributed computing, and digital libraries. What available technologies would serve as the underlying building blocks, and what kind of software architecture would you design to integrate these building blocks into an effective communication service? Answering this question is the overriding goal of this book—to describe the available building materials and then to show how they can be used to construct a network from the ground up.

    Subjects:
    Computing
    Keywords:
    Computer networks Textbooks
    Resource Type:
    e-book
     
  • e-book 
    Computer Networking: Principles, Protocols and Practice

    Computer Networking: Principles, Protocols and Practice

    This open textbook aims to fill the gap between the open-source implementations and the open-source network specifications by providing a detailed but pedagogical description of the key principles that guide the operation of the Internet.

    Subjects:
    Computing
    Keywords:
    Computer network protocols Textbooks
    Resource Type:
    e-book
     
  • Courseware 
    Computational Personal Genomics: Making Sense of Complete Genomes

    Computational Personal Genomics: Making Sense of Complete Genomes

    With the growing availability and lowering costs of genotyping and personal genome sequencing, the focus has shifted from the ability to obtain the sequence to the ability to make sense of the resulting information. This course is aimed at exploring the computational challenges associated with interpreting how sequence differences between individuals lead to phenotypic differences in gene expression, disease predisposition, or response to treatment.

    Subjects:
    Computing and Biology
    Keywords:
    Genomics Genomes
    Resource Type:
    Courseware
     
  • Courseware 
    Computation Structures

    Computation Structures

    This course introduces architecture of digital systems, emphasizing structural principles common to a wide range of technologies. It covers the topics including multilevel implementation strategies, definition of new primitives (e.g., gates, instructions, procedures, processes) and their mechanization using lower-level elements. It also includes analysis of potential concurrency, precedence constraints and performance measures, pipelined and multidimensional systems, instruction set design issues and architectural support for contemporary software structures.

    Subjects:
    Electrical Engineering and Computing
    Keywords:
    Digital electronics
    Resource Type:
    Courseware
     
  • Courseware 
    Communicating with Mobile Technology

    Communicating with Mobile Technology

    This course covers the basics of J2ME and explores mobile imaging and media creation, GPS location, user-centered design, usability testing, and prototyping. Java experience is recommended.

    Subjects:
    Computing
    Keywords:
    Mobile apps Mobile computing Cell phone systems Application software -- Development
    Resource Type:
    Courseware
     
  • Others 
    Codecademy: Learn to Code for Free

    Codecademy: Learn to Code for Free

    Learn to Code for Free. We're here to make coding more accessible, so everyone can learn the skills they need to upgrade their careers. For example, you can learn Python, HTML, CSS, and JavaScript.

    Subjects:
    Computing
    Keywords:
    Computer programming Programming languages (Electronic computers)
    Resource Type:
    Others
     
  • Courseware 
    CS50’s Introduction to Artificial Intelligence with Python

    CS50’s Introduction to Artificial Intelligence with Python

    This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, reinforcement learning, and other topics in artificial intelligence and machine learning as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.

    Course related:
    COMP3011 Design and Analysis of Algorithms, COMP1001 Problem Solving Methodology in Information Technology, COMP4434 Artificial Intelligence, and COMP2011 Data Structures
    Subjects:
    Human-Computer Interaction and Computing
    Keywords:
    Computer programming Computer science Python (Computer program language) Artificial intelligence
    Resource Type:
    Courseware
     
  • MOOC 
    CS50's Introduction to Computer Science

    CS50's Introduction to Computer Science

    This is CS50x , Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50x teaches students how to think algorithmically and solve problems efficiently. Topics include abstraction, algorithms, data structures, encapsulation, resource management, security, software engineering, and web development. Languages include C, Python, SQL, and JavaScript plus CSS and HTML. Problem sets inspired by real-world domains of biology, cryptography, finance, forensics, and gaming. The on-campus version of CS50x , CS50, is Harvard's largest course.

    Course related:
    COMP1011 Programming Fundamentals
    Subjects:
    Computing
    Keywords:
    Computer programming Computer science
    Resource Type:
    MOOC
     
  • Courseware 
    CS229 - Machine Learning

    CS229 - Machine Learning

    This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include: supervised learning (generative/discriminative learning, parametric/non-parametric learning, neural networks, support vector machines); unsupervised learning (clustering, dimensionality reduction, kernel methods); learning theory (bias/variance tradeoffs; VC theory; large margins); reinforcement learning and adaptive control. The course will also discuss recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing.

    Subjects:
    Computing
    Keywords:
    Pattern perception -- Statistical methods Machine learning
    Resource Type:
    Courseware
     
  • Presentation 
    COIN services and innovation

    COIN services and innovation

    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:
    Enterprise application integration (Computer systems) Internetworking (Telecommunication) Management information systems Information resources management
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    COIN meets Science 2.0

    COIN meets Science 2.0

    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. Detailed information can be found here.

    Subjects:
    Management and Computing
    Keywords:
    Information resources management Internetworking (Telecommunication) Management information systems
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    COIN System Demos

    COIN System Demos

    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:
    Enterprise application integration (Computer systems) Internetworking (Telecommunication) Management information systems Information resources management
    Resource Type:
    Presentation
     
    OER
  • Presentation 
    COIN Baseline services and negotiation support

    COIN Baseline services and negotiation support

    This video was recorded at COIN / ACTIVE Summer School on Advanced Technologies for Knowledge Intensive Networked Organizations, Aachen 2010. Organized by COIN FP7 Integrated Project (http://www.coin-ip.eu/) and ACTIVE FP7 Integrated Project (http://www.active-project.eu), the summer school seeks to bring together students, scholars and researchers from industry in order to foster collaboration and interoperability through innovative software solutions and share the recent research developments from well-established researchers and educators. The main topics of the summer school are: Interoperability and collaboration models and solutions, Enterprise interoperability and collaboration services, Innovative knowledge and semantically powered technologies, Knowledge process and context modeling, Pro-active knowledge tools, Large scale analytics and reasoning tools, Business cases and real case studies. More about the event at http://coin-active-ss.ijs.si/

    Subjects:
    Management and Computing
    Keywords:
    Enterprise application integration (Computer systems) Internetworking (Telecommunication) Management information systems Information resources management
    Resource Type:
    Presentation
     
    OER
  • Courseware 
    CEE 20: Introduction to Computational Engineering Problem Solving

    CEE 20: Introduction to Computational Engineering Problem Solving

    Introduction to computer programming within a numerical computing environment (MATLAB or similar) including types of data representation, graphical display of data, and development of modular programs with application to engineering analysis and problem solving.

    Subjects:
    Computing
    Keywords:
    Engineering -- Data processing Computer programming Engineering -- Computer programs
    Resource Type:
    Courseware
     
  • Video 
    C++ Tutorial for Beginners - Full Course

    C++ Tutorial for Beginners - Full Course

    This course will give you a full introduction into all of the core concepts in C++.

    * Contents *

    -- (0:00:00) Introduction

    -- (0:01:38) Windows Installation

    -- (0:04:54) Mac Installation

    -- (0:08:44) Setup & Hello World

    -- (0:12:29) Drawing a Shape

    -- (0:19:55) Variables

    -- (0:31:43) Data Types

    -- (0:39:15) Working With Strings

    -- (0:49:00) Working With Numbers

    -- (0:59:41) Getting User Input

    -- (1:05:32) Building a Calculator

    -- (1:09:28) Building a Mad Libs

    -- (1:13:45) Arrays

    -- (1:20:03) Functions

    -- (1:29:47) Return Statement

    -- (1:35:22) If Statements

    -- (1:47:15) If Statements (con't)

    -- (1:55:58) Building a Better Calculator

    -- (2:02:20) Switch Statements

    -- (2:10:47) While Loops

    -- (2:18:53) Building a Guessing Game

    -- (2:29:18) For Loops

    -- (2:38:32) Exponent Function

    -- (2:45:21) 2d Arrays & Nested Loops

    -- (2:54:55) Comments

    -- (2:59:11) Pointers

    -- (3:13:26) Classes & Objects

    -- (3:25:40) Constructor Functions

    -- (3:34:41) Object Functions

    Course related:
    COMP1011 Programming Fundamentals
    Subjects:
    Computing
    Keywords:
    C++ (Computer program language)
    Resource Type:
    Video
     
  • Others 
    C Programming Exercises, Practice, Solution

    C Programming Exercises, Practice, Solution

    C is a general-purpose, imperative computer programming language, supporting structured programming, lexical variable scope and recursion, while a static type system prevents many unintended operations. C was originally developed by Dennis Ritchie between 1969 and 1973 at Bell Labs, and used to re-implement the Unix operating system. It has since become one of the most widely used programming languages of all time, with C compilers from various vendors available for the majority of existing computer architectures and operating systems. The best way we learn anything is by practice and exercise questions. We have started this section for those (beginner to intermediate) who are familiar with C programming. Hope, these exercises help you to improve your C programming coding skills. Currently, following sections are available, we are working hard to add more exercises.

    Subjects:
    Computing
    Keywords:
    Programming languages (Electronic computers) C (Computer program language)
    Resource Type:
    Others
     
  • Video 
    But what is a Neural Network? | Deep learning, chapter 1

    But what is a Neural Network? | Deep learning, chapter 1

    This video introduces the basic concept and the overall working process of the ANN models, especially how the backpropogation works. How to establish a deep neuro network.

    Course related:
    LGT6801 Guided Study in Logistics I
    Subjects:
    Computing
    Keywords:
    Machine learning Neural networks (Computer science)
    Resource Type:
    Video
     
  • Presentation 
    Business Process Mining and Formalization

    Business Process Mining and Formalization

    This video was recorded at COIN / ACTIVE Summer School on Advanced Technologies for Knowledge Intensive Networked Organizations, Aachen 2010. Part 1. Context Computing. Context is used as a term for packaging information for a particular need. A criterion for selecting or prioritization information from a broader pool of information could be called contextual model. Search can be contextual: http://searchpoint.ijs.si. The relevance of Context in computing seems to be growing. Many application areas see an opportunity in extending its value by introducing "context sensitivity". More details do to be found in ISWC2006 Tutorial on "context sensitivity": http://videolectures.net/iswc06_athens_ga/ Part 2. Text Mining & Light Weight Semantics. Videolectures discusses the following topics: - levels of text representations - modeling the data (Support Vector Machine) - classification into large taxonomies (DMoz) - visual & contextual search (Search Point) - multilingual search - news bias, news visualization - text enrichment (Enrycher) - knowledge based summarization - question answering (AnswerArt) - Cyc knowledge base and reasoning

    Subjects:
    Management and Computing
    Keywords:
    Data mining Information resources management Business -- Data Processing Management information systems
    Resource Type:
    Presentation
     
    OER
  • e-book 
    Business Information Systems: Design an App for That

    Business Information Systems: Design an App for That

    We set out to design an introductory course governed by four themes: Give students a good idea of what a career in MIS looks like by doing MIS. Enhance the professionalism of deliverables by teaching design and usability concepts. Promote creativity by assigning projects that demand it. Teach students about cloud computing by having them do cloud computing. Students in an introductory Management Information Systems (MIS) course often ask what a career in MIS looks like. Lacking a clear vision, they make their own assumptions. Often they assume the career involves programming with little human interaction. That MIS is a technical field could not be further from the truth. MIS job descriptions typically require candidates to be able to collaborate, communicate, analyze needs and gather requirements. They also list the need for excellent written and communication skills. In other words, MIS workers are constantly interacting with other people both inside and outside the organization. They are coming up with creative solutions to business problems. This course is designed to help students get a feel for what a career in MIS would be like. Our students report that they learn more about information systems from their internships than from their IS courses. Consequently, we designed a course that looks very much like an internship—an introduction to the field followed by a substantial project. Chapter 1 begins by introducing the information systems landscape. Here we discuss all the usual suspects: the information systems triangle, the systems development life cycle, transaction systems (ERP, SCM, CRM), collaboration systems, and business intelligence systems. Other aspects of the landscape such as usability, outsourcing, database concepts and so forth are introduced throughout chapter in Chapter 2 where they fit in naturally with the flow of the project. Chapter 2 is the substantial project which runs over a number of chapters. Over the course of the semester, students plan, build, and develop a proposal for an iPhone application. They develop a very realistic mockup. They also build a website to help market and support the app. Students are engaged because the project is fun and feels real. However, they are simultaneously learning business concepts and MIS skills. Prior to the existence of this course, we were only able to give such an interesting project at the senior level. Now, even as freshmen, students have a real experience of MIS in operation. A by product of creating an engaging course is increased enrollment in the MIS major. Even students who have never heard of MIS become excited about the major and either switch majors or add it as a double major or minor. Many other books have students study tools and then do a case. By contrast, most of this book is a case. Much like the real world, we introduce tools when needed, and only to the extent needed, to get at each part of the case.

    Subjects:
    Industrial and Systems Engineering and Computing
    Keywords:
    Business information services Management information systems Textbooks Application software -- Development
    Resource Type:
    e-book
     
  • e-book 
    Blueprints: Creating, Describing, and Implementing Designs for Larger-Scale Software Projects

    Blueprints: Creating, Describing, and Implementing Designs for Larger-Scale Software Projects

    Blueprints is a concise yet comprehensive coverage of Object-Oriented Analysis and Design concepts, suitable for a second programming course in Computer Science. It introduces and teaches application development in a command-line environment, and assumes basic expertise with the Java programming language.

    Subjects:
    Computing
    Keywords:
    System analysis System design Textbooks
    Resource Type:
    e-book
     
  • Video 
    Blender 3D - Low Poly Character Clothing

    Blender 3D - Low Poly Character Clothing

    A tutorial on setting up clothing to low poly character.

    Subjects:
    Interactive and Digital Media and Computing
    Keywords:
    Blender (Computer file) Three-dimensional display systems Computer animation Computer graphics
    Resource Type:
    Video
     
  • Courseware 
    Big Data Strategies to Transform Your Business

    Big Data Strategies to Transform Your Business

    While big data infiltrates all walks of life, most firms have not changed sufficiently to meet the challenges that come with it. In this course, you will learn how to develop a big data strategy, transform your business model and your organization. This course will enable professionals to take their organization and their own career to the next level, regardless of their background and position. Professionals will learn how to be in charge of big data instead of being subject to it. In particular, they will become familiar with tools to: - assess their current situation regarding potential big data-induced changes of a disruptive nature, - identify their options for successfully integrating big data in their strategy, business model and organization, or if not possible, how to exit quickly with as little loss as possible, and - strengthen their own position and that of their organization in our digitalized knowledge economy The course will build on the concepts of product life cycles, the business model canvas, organizational theory and digitalized management jobs (such as Chief Digital Officer or Chief Informatics Officer) to help you find the best way to deal with and benefit from big data induced changes. During the course, your most pressing questions will be answered in our feedback videos with the lecturer. In the assignments of the course, you will choose a sector and a stakeholder. For this, you will develop your own strategy and business model. This will help you identify the appropriate organizational structure and potential contributions and positions for yourself.

    Subjects:
    Management and Computing
    Keywords:
    Business -- Data processing Big data
    Resource Type:
    Courseware
     
  • Video 
    Beginners Guide To Virtual Reality

    Beginners Guide To Virtual Reality

    With so many new users picking up virtual reality headsets for the 2019 holiday season, it's time for a 2020 beginners guide to virtual reality. Let's dive into PC Specs, recommended headsets, setup, comfort, locomotion, motion sickness, free games and a lot more.

    Subjects:
    Interactive and Digital Media and Computing
    Keywords:
    Computer simulation Virtual reality Human-computer interaction
    Resource Type:
    Video