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A free and open online publication of educational material from thousands of MIT courses, covering the entire MIT curriculum, ranging from introductory to the most advanced graduate courses. On the OCW website, each course includes a syllabus, instructional material like notes and reading lists, and learning activities like assignments and solutions. Some courses also have videos, online textbooks, and faculty insights on teaching. Knowledge is your reward. There's no signup or enrollment, and no start or end dates. OCW is self-paced learning at its best. Whether you’re a student, a teacher, or simply a curious person that wants to learn, MIT OpenCourseWare (OCW) offers a wealth of insight, inspiration, videos, and a whole lot more! Get the full picture on the OCW website at https://ocw.mit.edu. Accessibility: https://accessibility.mit.edu/ User comments policy: https://ocw.mit.edu/comments/ (Channel banner photo by Nietnagel on Flickr: https://flic.kr/p/8WXxfK.)
Episodes


Lecture 15: Recursion

Lecture 24: Sorting Algorithms

Lecture 26: List Access, Hashing, Simulations, and Wrap-Up

Lecture 18: More Python Class Methods

Lecture 6: Bisection Search (BROKEN)

Lecture 8: Functions as Objects

Lecture 20: Fitness Tracker Object-Oriented Programming Example

Lecture 10: Lists and Mutability (BROKEN)

Lecture 7: Decomposition, Abstraction, and Functions

Lecture 13: Exceptions and Assertions

Lecture 2: Strings, Input/Output, and Branching (old)

Navigating Open Licensing: Strategies for Access and Reuse

Lecture 23: Visualizing Data

Lecture 16: (More) Explanatory Data Analysis: Nonparametric Comparisons and Regressions

Lecture 12: Assessing and Deriving Estimators

Lecture 11: Special Distributions, continued. The Sample Mean, Central Limit Theorem, and Estimation

Lecture 14: Causality

Lecture 07: Functions of Random Variables

Lecture 19: Practical Issues in Running Regressions
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