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Japanese Literature and Culture in English Translation |
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Korean |
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Korean Literature and Culture in English Translation |
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Latin |
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LATN 022 SC - Advanced Introductory Latin Intensive course for students with some previous Latin who are too advanced for LATN001 and not ready for LATN 033 . Designed to place students in Intermediate Latin (LATN033) to meet the language requirement. Focus on review and mastery of basic grammar and vocabulary.
Formerly: CLAS032 SC
Prerequisite(s): Exam or speak with Classics department chair. Course Credit: 1.0 Offered: Every semester
Please refer to the course schedule on the Scripps Portal for current course offerings and details.
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LATN 033 SC - Intermediate Latin For students with two or three years of secondary school Latin or one year of college Latin. Selections from Latin poetry and prose of the late Republic and early Empire. Reading and translation from texts; grammar review and composition. Repeatable once for credit.
Formerly: CLAS100, CLAS110, CLAS112
Prerequisite(s): LATN001 SC , LATN002 SC , LATN022 SC Course Credit: 1.0 Offered: Every year
Please refer to the course schedule on the Scripps Portal for current course offerings and details.
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Latin American Studies |
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Linguistics |
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Linguistics and Cognitive Science LGSC courses are offered through the Linguistics and Cognitive Science Department at Pomona College |
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Literature |
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Mathematics |
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Media Studies |
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MS 038 SC - Machine Learning for Artists Machine learning (ML) is a new branch of computer science that provides services for automatic translation and speech recognition (Apple’s Siri, Amazon’s Alexa, Google Assistant), product recommendations (Netflix, Amazon, etc.), transportation (Waymo, Tesla, the City of Copenhagen), and political campaigns (Facebook and Cambridge Analytica). ML is becoming a familiar presence in our lives; computer scientists and developers introduce new applications every day for chatting with humans, recommending the best course of action, and making predictions about the future. In spite of all the press, ML remains daunting to non-specialists. This class seeks to mend this divide.
This class will introduce ML concepts to students without prior experience and provide templates to get students working in ML right away. We will study and remake artworks by Mario Klingemann, Anna Ridler, Sougwen Chung, Memo Akten, Helena Sarin, Tom White, and others. They will use techniques such as image segmentation, CycleGAN, pix2pix, and Tensorflow. Students will propose and work on a larger project in the last third of the class.
Prerequisite(s): Any experience with programming, especially with Python Course Credit: 1.0 Offered: Occasionally
Please refer to the course schedule on the Scripps Portal for current course offerings and details.
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Page: 1 <- Back 10 … 7
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