Control Systems Courses

Foundations of Computational and Systems Biology

This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis.

• MIT OpenCourseWare
• 28 hours
• Self-Paced
• Free Video

Systems Biology

This course provides an introduction to cellular and population-level systems biology with an emphasis on synthetic biology, modeling of genetic networks, cell-cell interactions, and evolutionary dynamics.

• MIT OpenCourseWare
• 32 hours
• Self-Paced
• Free Video

Probabilistic Systems Analysis and Applied Probability

A course on the modeling and analysis of random phenomena and processes, including the basics of statistical inference.

• MIT OpenCourseWare
• 21 hours
• Self-Paced
• Free Video

Probabilistic Systems Analysis and Applied Probability

This course introduces students to the modeling, quantification, and analysis of uncertainty.

• MIT OpenCourseWare
• 32 hours
• Self-Paced
• Free Video

Dynamics and Control I

Explore dynamics and vibrations of mechanical systems, covering kinematics, force-momentum, work-energy, Lagrange's equations, and linear stability analysis. Includes MATLAB® for problem-solving.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Control of Manufacturing Processes (SMA 6303)

Explore statistical modeling and control in manufacturing, covering experimental design, yield optimization, and various control methods for semiconductor, metal, polymer, and micro-nano processes.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Urban Energy Systems and Policy

Explore strategies for reducing urban energy use and emissions through policy, technology, economics, and urban planning at the city and user level.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Fundamentals of Systems Engineering

Comprehensive systems engineering course covering V-model and Meta approach, stakeholder analysis, requirements, architecture, optimization, integration, safety, and validation. Includes hands-on project for design competition.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Nuclear Systems Design Project

Integrates nuclear physics, safety, and economics in a group project to design innovative power plants combining emission-free electricity, carbon sequestration, and fossil fuel displacement.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Health Information Systems to Improve Quality of Care in Resource-Poor Settings

Explore innovative health information systems for developing countries, focusing on improving outcomes, strengthening infrastructure, and fostering collaboration. Learn from experts about challenges and solutions in resource-poor settings.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Introduction to R and Geographic Information Systems (GIS)

Learn R programming and GIS fundamentals, covering data structures, linear models, spatial analysis, and map visualization using ggplot2. Gain practical skills for statistical computing and geographic data manipulation.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Signals and Systems

Comprehensive introduction to analog and digital signal processing, covering time and frequency domain representations, Fourier transforms, filtering, modulation, sampling, and feedback systems for engineers and scientists.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

Innovation Systems for Science, Technology, Energy, Manufacturing, and Health

Explore science and technology policy, examining innovation systems in energy, computing, manufacturing, and health sectors, with emphasis on public policy and federal government's role.

• MIT OpenCourseWare
• Self-Paced
• Free Online Course

The Promises and Pitfalls of Open-source Agent Systems

Explore the potential and challenges of open-source AI agent systems, examining their performance compared to closed-source alternatives and key issues in evaluation and generalization.

• YouTube
• 58 minutes
• Self-Paced
• Free Video

Calculus 1C: Coordinate Systems & Infinite Series

Dive into coordinate systems, curve calculus, and infinite series, mastering Taylor polynomials and convergence properties in this MIT calculus course.

• MITx Online
• 6 weeks, 5-10 hours/week
• Self-Paced
• Free Online Course