AR Fourier Optics Lab vs Statistical Inference

In the middle of the 19th century, Ernst Abbe revolutionized optics with his diffraction theory of the microscope. He predicted the resolution limit and derived mathematical guidelines for high-performance devices which became known as the "Fourier Optics" method. This enabled Carl Zeiss to design instruments by prior calculations and started the industrialization of physical instrumentation. Understanding Fourier Optics is an important learning goal in every undergraduate optics course. This App was build to teach the basics of Fourier Optics in combination with an according lab experiment. It is intended for undergraduate students in Physics, Photonics and Optical Sciences. We recommend the use of the Thorlabs EDU-FOP2 Fourier Optics Kit: https://www.thorlabs.com/newgrouppage9.cfm?objectgroup_id=11829&pn=EDU-FOP2/M The App was designed to augment the learning content onto an existing EDU-FOP2 setup ("Lab Companion Mode"), but also allows a stand-alone use of the students at home ("Preparation Mode") or in cases where a suitable setup is not available. It will cover the following topics: - Introduction to Fourier Optics - Physical Background - Mathematical Background - Explanations on a typical lab setup with Köhler illumination (EDU-FOP2 from Thorlabs) - Applications - Historical Background

Statistical Inference is an independent study app built for students, self-learners, analysts, and anyone reviewing core inference ideas through focused practice. Work through 160 questions across Fundamentals, Practical Skills, Common Pitfalls, and Advanced Concepts. Each question includes an explanation so you can understand why an answer works, not just whether you got it right. Features: - FSRS spaced-repetition intervals to help reviews land at the right time - Weak-point heatmap to show where you need more practice - Daily challenge for consistent study - Mock exams for timed review - Offline practice for commutes, classrooms, and low-signal moments - No login required Use it to review estimation, confidence intervals, hypothesis testing, p-values, sampling distributions, power, errors, likelihood ideas, and common interpretation traps. Practice offline, no login required. Independent study app for Statistical Inference practice. Not affiliated with, endorsed by, or sponsored by any company, certification body, exam operator, or vendor. All trademarks belong to their respective owners.