Monday,Wednesday, and Friday Spring Term | 3:00-4:30pm | Course run at MIT in Cambridge, MA Prereq: None Level: U/G | 3-2-7 units | A – F Grading Presents the fundamentals of computational thinking, computational patterns, big data, and visualization. Computer literacy is the literacy of this century. Just like reading, writing, and arithmetic, computational thinking is a fundamental skill needed by everyone. It is much more than being able to program a computer. Computational thinking complements and combines mathematical and engineering thinking. It is a way to make you a better problem solver. Computational thinking and engineering computation is about conceptualizing and representing problems, and thinking at multiple levels of abstraction. Computational thinking focuses on the process of abstraction, on choosing the right abstractions, operating in terms of multiple layers of abstraction simultaneously.
ESD341J Architecting and Engineering Software Systems
Tuesdays and Thursday Fall Term | 1:00-2:30pm | Course run at MIT in Cambridge, MA Prereq: Permission of Instructor Level: G | 3-0-9 units Standard | A – F Grading | Can be repeated for credit Software architecting and design of software-intensive systems. Targeted at future CTOs who must understand both the business and technical issues involved in architecting enterprise-scale systems. Student teams confront technically challenging problems. Lectures and readings cover core database, XML, web server components and browser issues in a distributed web service environment. ESD.341J Architecting and Engineering Software Systems will place particular emphasis on properly architecting enterprise systems, such as for large-scale public service projects (e.g. HAP Visualization Project). ESD.341J will also take a close look at enterprise software systems, which depend upon properly architected (for scalability, security, and speed), provenance-aware, robust geospatial platform undergirdings.
Applied Cyber Security
Tuesdays and Thursday Fall Term | 1:00-2:30pm | Course run at MIT in Cambridge, MA Prereq: Permission of Instructor Level: G | 3-0-9 units Standard | A – F Grading | Can be repeated for credit The course covers securing computers, applications, networks, digital forensics, and the ethical and legal practices affecting all computer users. In addition, The course also covers the strategies, implementation and management of a business information continuity plan, assessment and mitigation of cyber vulnerabilities, and incident response and analysis. The content is targeted at ensuring that the privacy, reliability, and integrity of information systems.
Applied Cyber Security (Summer Short Course - 2 Days)
Summer Session: 3rd Week of June | all day | Course run at MIT in Cambridge, MA Prereq: Permission of Instructor Continuing Education Units (CEUs): 1.3 In today’s world, organizations must be prepared to defend against threats in cyberspace. Decision makers must be familiar with the fundamental principles and best practices of cyber security to best protect their enterprises. In this course, experts from academia, the military, and industry share their knowledge to give participants the principles, the state of the practice, and strategies for the future. Sessions will address information security, ethical and legal practices, and mitigating cyber vulnerabilities. Participants will also learn about the process of incident response and analysis. The content is targeted at ensuring the privacy, reliability, and integrity of information systems.
ESD.937 Special Graduate Studies in Engineering Systems Division: Geospatial Leadership
Limited to MIT Geospatial Data Center (GDC) and MIT Community | No listeners | Prereq: Permission of Instructor Level: G | 3 units Standard | A – F Grading | Can be repeated for credit Opportunity for group study of advanced topics in Engineering Systems Division not otherwise included in the curriculum at MIT. Introduces geospatial concepts and next generation geospatial information systems (GIS) field research in both permissive and non-permissive environments.
ESD.01J Transportation Systems Modeling
Prereq: 1.00, 1.010 Units: 3-1-8 Lecture: M11-1,W11 (1-134) Recitation: F11 (1-134) Introduces basic concepts of transportation systems data collection, modeling, analysis and visualization techniques. Covers fundamental analytical and simulation-based methodologies. Topics include time-space diagrams, cumulative plots, queuing theory, traffic assignment, transportation paradoxes, and urban traffic control. Provides students with an understanding of the current challenges and opportunities in different areas of transportation.