The Software Engineering Program (SEP) is a multi-year, comprehensive, standards-aligned computer science education program for grades 6 to 12. The goals of the program are:

-Increase the number of high school graduates, particularly from traditionally underrepresented groups, that are ready to pursue new and emerging technology-driven roles across industries.

-Develop student computational thinking and problem-solving skills in real-world contexts.

The SEP curriculum gives students instruction and experience in the following areas: computer programming, robotics, web design, physical computing, and game design. SEP students participate in local and central hackathons, and in work-based experiences with major industry leaders and partners.

Survey of structural properties of natural languages, with special emphasis on the sound pattern. Representation of the lexicon. Physiology of speech production, articulatory phonetics. Acoustical theory of speech production; acoustical and articulatory descriptions of phonetic features and of prosodic aspects of speech. Perception of speech. Models of lexical access and of speech production and planning. Applications to recognition and generation of speech by machine, and to the study of speech disorders.

Fundamentals of detection and estimation for signal processing, communications, and control. Vector spaces of random variables. Bayesian and Neyman-Pearson hypothesis testing. Bayesian and nonrandom parameter estimation. Minimum-variance unbiased estimators and the Cramer-Rao bounds. Representations for stochastic processes; shaping and whitening filters; Karhunen-Loeve expansions. Detection and estimation from waveform observations. Advanced topics: linear prediction and spectral estimation; Wiener and Kalman filters.

Provides an integrated approach to understanding the practice of engineering in the real world. Students research the life cycle of a major engineering project, new technology, or startup company from multiple perspectives: technical, economic, political, cultural. Emphasis on analyzing engineering artifacts, understanding documentation, framing logical arguments, communicating effectively, and working in teams.

A graduate-level introduction to artificial intelligence. Topics include: representation and inference in first-order logic; modern deterministic and decision-theoretic planning techniques; basic supervised learning methods; and Bayesian network inference and learning.

6.895 covers theoretical foundations of general-purpose parallel computing systems, from languages to architecture. The focus is on the algorithmic underpinnings of parallel systems. The topics for the class will vary depending on student interest, but will likely include multithreading, synchronization, race detection, load balancing, memory consistency, routing networks, message-routing algorithms, and VLSI layout theory. The class will emphasize randomized algorithms and probabilistic analysis, including high-probability arguments.

Three Weeks in March is a data-driven approach to modeling the spread of coronavirus cases in the United States.In this activity, students will use a difference equation to model day-to-day changes in the known cases of coronavirus within U.S. borders, as reported by the Centers for Disease Control and Prevention, during the first three weeks of March, 2020. The solution to this difference equation is an exponential model. The activity can serve as an introduction to exponential models.The main goals of this activity are to:Learn the idea of difference equation;Model exponential growth using a difference equation;Simulate exponential growth and estimate a parameter value using software.These resources were created by Dr. Rob Kipka of Lake Superior State University.

This course examines human-computer interaction in the context of graphical user interfaces. The course covers human capabilities, design principles, prototyping techniques, evaluation techniques, and the implementation of graphical user interfaces. Deliverables include short programming assignments and a semester-long group project. Students taking the graduate version also have readings from current literature and additional assignments.

A presentation about the history and types of computers and the definition of computer science.

Wherever you go‚ whatever you say, write, photograph, or buy‚ whatever prescriptions you take, or ATM withdrawals you make you are generating information. That information can be captured, digitized, retrieved, and copied ‚ anywhere on Earth, instantly. Sophisticated computers can increasingly uncover meaning in those digital traces‚ understanding, anticipating, and influencingyou as never before.

Is this utopia? Or the dawning of a 1984/Brave New World horror world? Whatever you call it, it’s happening. What kind of world are we creating? What will it be like to live there? Blown to Bits offers powerful and controversial answers to these questions‚ and give you the knowledge you need to help shape your own digital future, not let others do it for you. Building on their pioneering joint MIT/Harvard course, the authors reveal how the digital revolution is changing everything, in ways that are stunning even the most informed experts.

You’ll discover ten paradoxical truths about digital data, and learn how those truths are overturning centuries-old assumptions about privacy, identity, and personal control.

You’ll view the indelible digital footprints you’re making when you search Google, send emails and text messages‚ write Microsoft Word documents‚ download MP3s‚ make cellphone calls‚ post blog entries‚ pay highway tolls‚ use your supermarket discount card. And you’ll see how others could be following those footprints, in ways you never thought about, and might not like.

Writing in plain English, the authors illuminate the myriad implications of the digital revolution, answering the questions you’ve wondered about‚ or ought to wonder about. Who owns all that data about you? What do they owe you? How private is your medical information? Is it possible to send a truly secure message? Who can you trust for accurate information when traditional media is replaced by thousands of unfiltered Internet sources?

Along the way, they reveal the decisions governments and corporations are making right now that will shape your future‚ and show how to have your say in those decisions. Because you have an enormous stake in the outcome. We all do.