ENGS4 2004 Lecture 1 ENGS 4 Technology of Cyberspace Winter 2004 Thayer School of Engineering Dartmouth College Instructor: George Cybenko, x6-3843

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Presentation transcript:

ENGS Lecture 1 ENGS 4 Technology of Cyberspace Winter 2004 Thayer School of Engineering Dartmouth College Instructor: George Cybenko, x Assistant: Sharon Cooper (“Shay”), x6-3546

ENGS Lecture 1 Two main threads of the course Basic grounding in the technology underlying the Internet and the Web (including emerging new communication and computing technologies) How this technology is being used and might be used to “Predict the Future” (using information about the past and present to help anticipate the future)

ENGS Lecture 1 Logistics Typically, each class will be divided into two parts – internet technology and “prediction science” – with a short break in between Please ask questions about terminology and content Guest lectures on selected topics Course TA – Scott Hazard Cybenko’s office hours – Tues and Thurs 12-2 and by appointment No textbooks…materials will be online or in the library

ENGS Lecture 1 Assignments, Exams, Projects and Grading 4 assignments (2 week intervals) Final project done individually Midterm and final exams Short topic lectures Course grade determined by: –40% assignments (10% each) –15% midterm –20% final –20% project –5% short topic lectures

ENGS Lecture 1 Honor principle Students can discuss material and help each other but….. All work submitted for personal credit must be the work of the individual student. Acknowledge all sources used in completing an assignment – students, literature, etc. If in doubt, ask.

ENGS Lecture 1 Syllabus See Course website will be developed shortly and details will be ed to everyone. Midterm in Feb 4 x-period The syllabus is flexible….it will evolve. Lectures will be in PPT and will be posted on the course website.

ENGS Lecture 1 Jan 7Basics of the InternetOverview of “Predicting the Future” Jan 8Web page mechanics Jan 13Search technologiesRule-based and expert systems Jan 15Graphics and ImagesPrediction using rules Jan 20Applications Applications Jan 22Internet routing basicsState space models Jan 27Data compressionPrediction using state models Jan 29ApplicationsApplications Feb 3Wireless networkingStatistical models Feb 4Midterm Feb 5Images and soundCase-based reasoning Feb 10SecurityXML Feb 12SecurityMedical applications Feb 17ApplicationsApplications Feb 19e-CommerceData mining Feb 26Recommender systemsPrivacy and anonymity Feb 28Summary discussionSummary discussion Mar 2Project Presentations Mar 4Project Presentations Mar 9Project Presentations Syllabus

ENGS Lecture 1 Introductions…. Name Hometown Class Major and/or interests Your background in “cyberspace” Your personal goal for this course

ENGS Lecture 1 Layers of Technology of Cyberspace Underlying physical communications media: copper wire, optical fiber, electromagnetic waves Reliable and efficient communication protocols Scalable decentralized networking Digitization of content and content standards (web, images, audio, video, etc) Search capabilities Computer programming for applications Security, privacy, anonymity technology

ENGS Lecture 1 Visit an online ecommerce site or a bank…. Let’s step through the technology needed

ENGS Lecture Course “Theme” “Predicting the Future” Hypothesis – everyone wants to be able to “predict the future” Examples –Personal –Medical –Finance –Commerce –Education and training –Military, Homeland Security –other…..

ENGS Lecture 1 What are the major technologies for predicting the future? Delphic: –Soothsayers, oracles, etc Aristotelian: –The future can be derived from rules based on empirical observations of the past combined with classical logic Newtonian: –The future state is a deterministic function of present and past states Markovian: –The future state is a probabilistic function of present and past states Quantum Mechanical

ENGS Lecture 1 We will explore how different disciplines “predict the future” Analyze the approaches used in terms of Aristotelian, Newtonian and Markovian The applications will be drawn from areas that rely heavily on networked information systems based on the internet Medicine, public health, science, finance, business, education, art, entertainment, national security, etc.

ENGS Lecture 1 For Thursday’s class Request a Dartmouth web account Visit and read Skim over Read about Tim Berners-Lee knighthood Volunteer to show your homepage, etc Design a new ENGS 4 logo