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CS170.org hosts the course page for UC Berkeley CS 170 Spring 2026, “Efficient Algorithms and Intractable Problems.” The page lists Lijie Chen and Umesh Vazirani as instructors, with lectures held on Tuesdays and Thursdays from 3:30pm to 5:00pm in Stanley 105. The course uses the DPV textbook Algorithms and is clearly positioned as an advanced algorithms and intractability course within Berkeley’s computer science curriculum.
Based on the page content, the course covers a wide range of topics: arithmetic algorithms, fast multiplication, the Master Theorem, matrix multiplication, graph algorithms, BFS/DFS, shortest paths, greedy algorithms, dynamic programming, backpropagation, FFT, parallelism, gradient descent, linear programming, zero-sum games, NP-completeness, hashing/streaming algorithms, and quantum algorithms. The page organizes lectures, readings, discussions, homework, and solutions by week, with multiple references to recordings and lecture notes. This is not a 1-on-1 course, nor is it a purely online commercial class; rather, it is an on-campus university course with accompanying recorded resources.
The captured text does not provide pricing, open enrollment options, payment channels, or certificate information. As a result, it is not possible to determine whether external learners can officially enroll, nor whether a completion certificate is available. Links such as Gradescope, grades, and OH Queue appear to be intended primarily for enrolled UC Berkeley students.
The main strengths are its rigorous course structure and complete learning loop: reading assignments, discussion problems, homework, and solutions are all integrated. The instructors and textbook are also highly credible, making it suitable for learners who want a deep understanding of algorithmic theory. The limitations are that the page notes the Spring 2026 schedule may change, and many features may require campus access. For self-learners, there is no clear information about learning support, public access to TA Q&A, or Chinese-language explanations.
This course is best suited to advanced undergraduates, graduate students, or anyone looking to strengthen their theoretical algorithms background, especially those who already have foundations in data structures, discrete mathematics, and basic algorithms. The page does not state how accessible it is from China, so network availability, video playback stability, and payment options are unknown. If access is limited, alternatives include MIT OCW, Stanford algorithms courses, Coursera/edX algorithm specializations, or open courses on algorithm design and analysis from Chinese universities.
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