Fundamentals of Programming

Grades

Grade records describe outcomes. For what a course is like to take, read student reviews written on dibs below or follow the separate external review link.

Reviews for EDUC M260B ↗

Workload and assignments

Reported assignments across instructors and terms. This term's syllabus may differ.

A review summary isn't available yet. Check the current syllabus or linked reviews. Missing details do not mean there are no papers or exams.

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What comes first

dibs has no class page for EDUC M260B, in any term it holds, that it can state prerequisites from, so it cannot say what comes before it. A page read while a class still reads Tentative does not count.

Counted in courses rather than quarters: dibs does not know which of them a department lets you take together.

From the registrar's catalog

(Formerly numbered 260B.) (Same as Public Policy M276B.) Lecture, three hours. Recommended requisite: course M260A. Second course in programming/data science sequence designed for students who do not have programming background. Uses primarily R programming language. Organized around practical programming skills/concepts that are fundamental across modern object-oriented programming languages (e.g., Python, Javascript). Topics include organizing files, folders, and scripts; reading (importing) and writing (exporting) data; using Git and GitHub for version control and collaboration; iteration (e.g., loops); conditional execution; writing functions; strings and regular expressions. These general programming skills are prerequisite for flashier data science applications (e.g., web-scraping, interactive maps). Students become proficient in programming skills/concepts through weekly problem sets, completed in groups. S/U or letter grading.

Sections in Spring 2026