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Securing the e-Campus 2017 - Exact time and dates TBD

Recent Talks

Dan Wallach

STAR-Vote: A Secure, Transparent, Auditable and Reliable Voting System

Professor Dan Wallach
Rice University
Thursday April 27, 2017
Carson L01, 5:00 PM

Ben Miller Dragos

Pandora's Power Grid - What Can State Attacks Do and What Would be the Impact?

Ben Miller
Chief Threat Officer, Dragos, Inc.
Tuesday May 2, 2017
Kemeny 007, 4:30 PM
Brendan Nyhan

 

 

 

Factual Echo Chambers? Fact-checking and Fake News in Election 2016.

Professor Brendan Nyhan
Dartmouth College
Thursday May 4, 2017
Rocky 001, 5:00 PM

Dickie George

 

Espionage and Intelligence

Professor Dickie George
Johns Hopkins University
Thursday May 11, 2017
Rocky 001, 5:00 PM

Dan Wallach

A Nation Under Attack: Advanced Cyber-Attacks in Ukraine

Ukrainian Cybersecurity Researchers
Thursday April 6, 2017
Oopik Auditorium 5:30 PM

RIOTS logo 

Professor Sean Smith, Director of the ISTS and Bill Nisen, Associate Director, spoke at the

School House residential cluster on the Internet of Risky Things  - February 21, 2017, 5:30 PM

Craig Smith

 

 

 

You Don't Own Your Car
Craig Smith
OpenGarages
Tuesday May 10, 2016 
Carson L02 @4:15

David Safford

 

Hardware Based Security for GE's Industrial Control Systems
David Safford
GE Global Research
Tuesday May 17, 2016
Carson L02 @4:15

 

DanTentler

"It's Fine," They Said. "Just Ship It," They Said.
Dan Tentler
The Phobos Group
Tuesday April 12, 2016 
Carson L02 @4:15

Harold Thimbleby

 

 

 

The Best Way to Improve Healthcare is to Improve Computers
Harold Thimbleby
Swansea University
April 23, 2015

Craig Shue

 

 

 

Managing User-Level Compromises in Enterprise Network
Craig Shue
Worcester Polytechnic Institute
March 31, 2015

 

Newsletter 

Oct news 2015

 

ISTS Information Pamphlet


2012BrochureCover

 

Institute for Security, Technology, and Society
Dartmouth College
6211 Sudikoff Laboratory
Hanover, NH 03755 USA
info.ists@dartmouth.edu

Engineering

Technology of Cyberspace: ENGS 4

Web site: http://dartmouth.smartcatalogiq.com/en/current/orc/Departments-Programs-Undergraduate/Engineering-Sciences/ENGS-Engineering-Sciences-Undergraduate/ENGS-4

This course will cover some basic concepts underlying the 'information superhighway.' The technologies of high-speed networking have stimulated much activity within the federal government, the telecommunications and computer industries, and even social science and popular fiction writing. The technical focus will be on communications technologies, information theory, and the communications requirements of video (standard and ATV), speech (and other audio), text data. Social economic and policy issues will be an integral part of the course.

Technologies in Homeland Security: ENGS 11

Web site: http://dartmouth.smartcatalogiq.com/en/current/orc/Departments-Programs-Undergraduate/Engineering-Sciences/ENGS-Engineering-Sciences-Undergraduate/ENGS-11

This course will provide students with an introduction to the current and emerging technologies used in homeland security and the practitioners who use them. Topics covered in class include personal protective equipment, physical and cyber security systems, communications and information technologies, information assurance, WMD detection, robotics, simulation, exercise and training technologies. Students will gain a detailed understanding of the role technology plays in protecting the homeland. Enrollment limited to 50 students per section.

Numerical Methods in Computation: ENGS 91

Web site: http://dartmouth.smartcatalogiq.com/en/current/orc/Departments-Programs-Undergraduate/Engineering-Sciences/ENGS-Engineering-Sciences-Undergraduate/ENGS-91

A study and analysis of important numerical and computational methods for solving engineering and scientific problems. The course will include methods for solving linear and nonlinear equations, doing polynomial interpolation, evaluating integrals, solving ordinary differential equations, and determining eigenvalues and eigenvectors of matrices. The student will be required to write and run computer programs.

Prerequisite: ENGS 20  or COSC 1 and COSC 10; ENGS 22 or MATH 23, or equivalent.

Statistical Methods in Engineering: ENGS 93

Web site: http://dartmouth.smartcatalogiq.com/en/current/orc/Departments-Programs-Undergraduate/Engineering-Sciences/ENGS-Engineering-Sciences-Undergraduate/ENGS-93

The application of statistical techniques and concepts to maximize the amount and quality of information resulting from experiments. After a brief introductory summary of fundamental concepts in probability and statistics, topics considered will include probability distributions, sampling distributions, estimation and confidence intervals for parameters of statistical distributions, hypothesis testing, design and analysis of variance for single and multiple-factor experiments, regression analysis, estimation and confidence intervals for parameters of non-statistical models, and statistical quality control.

Prerequisite: MATH 13 or equivalent

Optimization Methods for Engineering Applications: ENGS 104

Web site: http://engineering.dartmouth.edu/academics/courses/engs104/

An introduction to various methods of optimization and their uses in modern engineering. Students will learn to formulate and analyze optimization problems and apply optimization techniques in addition to learning the basic mathematical principles on which these techniques are based. Topic coverage includes linear programming, nonlinear programming, dynamic programming, combinatorial optimization and Monte Carlo methods.

Prerequisite: MATH 022 and ENGS 027 or equivalents, or permission of instructor

Modern Information Technologies: ENGS 112

Web site: http://dartmouth.smartcatalogiq.com/en/current/orc/Departments-Programs-Graduate/Engineering-Sciences/ENGS-Engineering-Sciences/100/ENGS-112

This course covers current and emerging information technologies, focusing on their engineering design, performance, and application. General topics, such as distributed component and object architectures, wireless networking, web computing, and information security, will be covered. Specific subjects will include Java, CORBA, JINI public key cryptography, web search engine theory and technology, and communications techniques relevant to wireless networking such as Code Division Multiple Access protocols and cellular technology.

Prerequisite: ENGS 20, ENGS 27, and ENGS 93 or COSC 60; ENGS 93 can be taken concurrently

Decision-Making under Risk and Uncertainty: ENGG 177

Web site: http://engineering.dartmouth.edu/academics/courses/engg177/

Making decisions under conditions of risk and uncertainty is a fundamental part of every engineer and manager's job, whether the situation involves product design, investment choice, regulatory compliance, or human health and safety. This course will provide students with both qualitative and quantitative tools for structuring problems, describing uncertainty, assessing risks, and reaching decisions, using a variety of case studies that are not always amenable to standard statistical analysis. Bayesian methods will be introduced, emphasizing the natural connections between probability, utility, and decision-making.

Prerequisite: ENGS 27, ENGS 93, or comparable background in probabilistic reasoning

Law, Technology and Entrepreneurship: ENGM 188

Web site: http://engineering.dartmouth.edu/academics/courses/engm188/

Taking a good idea and turning it into a successful product and a profitable business poses a number of technical, managerial, and financial challenges. The solutions to many of the challenges of entrepreneurship in general, and to those of starting up a technologically based business in particular, are provided by the law. A grounding in the law of intellectual property, contractual transactions, business structures, debt and equity finance, and securities regulation, both in the U.S. and in an international context, will help inventors and entrepreneurs to manage this part of the process intelligently and with a high likelihood of success.

Prerequisite: None

Topics in Statistical Communication Theory: ENGG 312

Web site: http://engineering.dartmouth.edu/academics/courses/engg312/

Advanced study in any of the following or other topics may be pursued: information theory, coding, noise, random signals, extraction of signals from noise, pattern recognition, and modulation theory. Normally offered in alternate years.

Prerequisites: ENGS 93, ENGS 110, and permission of instructor

Last Updated: 9/18/14