Introduction to Computational Thinking
18.S191 · Electrical Engineering and Computer Science, Mathematics, Nuclear Science and Engineering · Undergraduate · Fall 2020
Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, Henri Drake
This is an introductory course on computational thinking. We use the Julia programming language to approach real-world problems in varied areas, applying data analysis and computational and mathematical modeling. In this class you will learn computer science, software, algorithms, applications, and mathematics as an integrated whole. Topics include image analysis, particle dynamics and ray tracing, epidemic propagation, and climate modeling.
The syllabus, on MIT OpenCourseWare
The full course — syllabus, assigned readings, problem sets, exams, and lecture notes — lives on OCW. These open the real thing:
Syllabus ↗
Course overview, grading, schedule
Readings ↗
The assigned reading list, session by session
Assignments ↗
Problem sets and projects
Full course on OCW ↗
Everything, including lecture materials
Attribution
Prof. Alan Edelman, Prof. David P. Sanders, Grant Sanderson, Dr. James Schloss, Henri Drake. 18.S191 Introduction to Computational Thinking. Fall 2020. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: CC BY-NC-SA 4.0.
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