CSC 290 Collaborative Software Engineering

Course Description

Running on low-cost, powerful computers, immense storage, and ubiquitous networks, a new generation of software has radically changed how information is distributed and accessed and is opening new possibilities in how (fast) knowledge is created and used. This revolution has been compared to the advent of printing, and the pertinent expertise and skill are considered as basic and essential as reading and writing.

This experimental course teaches principles and practices of collaborative software development. The topics include fundamentals of programming (more for organizing information than for managing computers), software engineering, scalable information systems, and current practice and tools for teamwork and virtual collaboration. The assignments are mainly a series of group projects designing and implementing from scratch web-based software including a wiki-like system that can be programmed to produce various web applications that are in common use today.

Draft Syllabus

  • Programming languages and tools
    • how to define and describe---essence of programming
      • object orientation, lambda calculus, continuation passing, actor model, Curry-Howard isomorphism
      • case studies: scheme, Java, ruby, R
    • how to link and reuse---libraries and packages, type theory, module composition, design patterns, virtual machines
      • case studies: C header files, Java packages, managed run-time, augmenting an interpreted language
    • how to build---tools for version control, source browsing, debugging, and distributing
      • using emacs and command window
      • case study: the anatomy of a million-line open-source application
    • how to collaborate---tools for collaboration
      • chats, wiki, issue tracking, web 2.0
      • design problem: programmable wiki
  • Software engineering
    • history: programmable computers, high-level languages, software crisis, Unix, personal computing, interpreted languages, agile and extreme programming
    • software development process
      • requirement analysis, specification, architecture, implementation, testing, deployment, documentation
      • waterfall model, iterative, incremental, adaptive
    • basis of the discipline
      • modular design, information hiding, separation of concerns
      • selected reading: Brooks, Parnas, Milner, Kennedy, Booch, Gabriel
    • user interface design and documentation
    • case studies of industry software development (IBM/Microsoft/Google)
  • Collective intelligence and scalable information systems
    • collaborative information processing: searching, filtering, ranking, clustering, modeling, predicting
    • composition, communication, complexity
      • locality, connectivity, and other emergent properties
    • decentralized and self-organizing systems
      • strategy games, evolutionary systems
    • sustainable development
      • ethics, privacy, outsourcing, cloud computing, should software be free?

Work in progress (restricted access)

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Topic revision: r3 - 2008-10-20 - ChenDing
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