COMPTNG 1
Spreadsheets, Programming, and Their Application to Data Science
Grades
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Workload and assignments
Reported assignments across instructors and terms. This term's syllabus may differ.
What the work looks like
- Exams mentioned, no number given, 2 mentions in past reviews
- Problem sets mentioned, no number given, 1 mention in past reviews
Based on 2 reviews; source checked 5 hours ago. dibs counts only what a review actually states, so a kind of work nobody mentioned is absent rather than zero.
What comes first
dibs has no class page for COMPTNG 1, 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
Lecture, three hours; discussion, one hour. No programming experience required. Covers computer fundamentals such as files, file extensions, directories, paths, ZIP archives, saving and retrieving files, and using a programming-suitable text editor. Use of Desmos Graphing Calculator and Google Sheets. Introduction to core coding concepts such as data types, syntax, variables, functions, and error messages. Demonstration of data analysis tools such as curve fitting, sorting, filtering by value and conditions, pivot tables, weighted averages, and graphs. Study of programming using Python language. Topics include variables, assignments, data types; arithmetic, comparisons, logical connectives, indexing; built-in functions, math and random functions; control flow, user-defined functions and methods; Python libraries (Pillow, Matplotlib, SciPy). P/NP or letter grading.
Sections in Winter 2026
From the people who took it
Student reviews
What taking COMPTNG 1 was like: the work, the teaching, and what students wish they’d known.
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