Introduces Renku, a platform for collaborative data science, emphasizing reproducibility, shareability, reusability, and security.
Covers the fundamentals of spectroscopy, including tools, color, Doppler effect, and molecular behavior.
Covers topics in Quantum Chemistry, including history, tools, color & draw techniques, shapes, and mathematical conversions.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
Covers the basics of LabVIEW, including its importance, history, functions, and tools available.
Covers the fundamentals of spectroscopy, including tools and techniques used for internal conversion and vibrational relaxation.
Delves into Big Data in neuroscience, analyzing large datasets and addressing challenges in data organization, standardization, integration, and visualization.
Covers various topics related to spectroscopy, including tools, color, draw with thickness, touch, shapes, and mathematical conversions.
Explores dependability in industrial automation, covering reliability, safety, fault characteristics, and examples of failure sources in various industries.
