Industrial Automation Systems Courses

Data Manipulation at Scale: Systems and Algorithms

773 ratings at Coursera

Explore data manipulation at scale, covering systems and algorithms for processing large datasets. Learn about databases, MapReduce, NoSQL, and graph analytics to effectively handle big data challenges.

• Coursera
• 20 hours 6 minutes
• Self-Paced
• Paid Course

Career Certificate

Introduction to Computer Information Systems

351 ratings at Coursera

Gain essential computer skills, covering hardware, software, data safety, digital literacy, and productivity tools. Prepare for various roles in computer information systems.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Productivity and Systems Development

40 ratings at Coursera

Hands-on experience with productivity tools, system design, and development. Covers hardware, software, Internet, data security, and career paths in technology.

• Coursera
• 16 hours 6 minutes
• Self-Paced
• Paid Course

Introduction to Systems Engineering

6 ratings

Learn how to develop and implement complex systems successfully with the University of New South Wales' Introduction to Systems Engineering course. Gain a solid foundation in the system life cycle and understand how different components contribute to pro…

• Coursera
• 19 hours 26 minutes
• Self-Paced
• Paid Course

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

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

Industrial Organization I

Explore advanced industrial organization concepts, from monopoly pricing to online markets, integrating theoretical models with empirical studies for PhD-level economics research preparation.

• 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