Three hours of lecture and one hour of laboratory per week. Course must be completed for a letter grade to fulfill degree requirement. Technological foundations for computing and communications: computer architecture, operating systems, networking, middleware, security. Programming paradigms: object oriented-design, design and analysis of algorithms, data structures, formal languages. Distributed-system architectures and models, inter-process communications, concurrency, system performance.
Three hours of lecture. The Extensible Markup Language (XML), with its ability to define formal structural and semantic definitions for metadata and information models, is the key enabling technology for information services and document-centric business models that use the Internet and its family of protocols. This course introduces XML syntax, transformations, schema languages, and the querying of XML databases. It balances conceptual topics with practical skills for designing, implementing, and handling conceptual models as XML schemas.
This course examines the state-of-the-art in applied Natural Language Processing (also known as content analysis and language engineering), with an emphasis on how well existing algorithms perform and how they can be used (or not) in applications. Topics include part-of-speech tagging, shallow parsing, text classification, information extraction, incorporation of lexicons and ontologies into text analysis, and question answering. Students will apply and extend existing software tools to text-processing problems.
This course presents an end-to-end view of the design life cycle for information systems and services. It explains how design problems are conceived, researched, analyzed and resolved in different types of organizations and contexts, including start-ups, enterprises with legacy-systems, non-profit and government entities.
The course takes a comprehensive perspective on how these different contexts shape design activities and methods, including:
The course presents a framework for understanding and integrating the variety of design methods taught in more detail in other I School and MOT courses. Using a mix of theory and case studies, the course provides students with different backgrounds a unifying view of the design life cycle, making them more effective and versatile designers.
In this lab course students will build tools to explore and apply theories of information organization and retrieval. Students will implement various concepts covered in the concurrent 202 course through small projects on topics like controlled vocabularies, the semantic web and corpus analysis. We will also experiment with topics suggested by students during the course. Students will develop skills in rapid prototyping of web-based projects using Python, XML and jQuery. No particular programming language is required, though students should be comfortable using or learning a scripting language like JavaScript, Python or PHP.
We are studying successful 'green' business models to see how they differ from more traditional business models. 'Green' companies are compared to other companies within the same sector to better understand how and why their products are able to compete.