Python with Applications II
Lecture, three hours; discussion, two hours. Requisite: course 16A or equivalent. In-depth application of Python programming language to problems arising in variety of areas of current interest such as machine learning, computer vision, statistical analysis, numerical analysis, and data acquisition. Advanced Python programming techniques to improve computational efficiency. P/NP or letter grading.
Review Summary
- Clarity
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6.7 / 10
- Organization
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6.7 / 10
- Time
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5-10 hrs/week
- Overall
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6.7 / 10
Reviews
Class structure was pretty chill with 5-6 homework assignments and a group project that we worked on throughout the whole quarter. Some of the homeworks were tricky but the grading structure was forgiving as you could correct errors and turn it in again after. The project was quite a bit of work but as long as you put effort in your were pretty much guaranteed a good grade. Ko was a nice guy but more of the support in the course came from the TA
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Course
Grading Information
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Has a group project
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Attendance not required
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No midterms
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No final
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0% recommend the textbook
Previous Grades
Grade distributions not available.