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University of California, Berkeley 4 credits Bioengineering
Biodesign Automation is a fusion of computer science principles and synthetic biology, focusing on developing students' programming skills within biological frameworks. The course dives deep into essential computer science concepts such as data structures, algorithmic thinking, and software testing, all through the lens of synthetic biology. Students will engage in practical exercises that blend these computational methods with real-world biological and chemical problems. The course journey culminates in a comprehensive project where students apply their computational skills to develop an AI-assisted system for biodesign applications, thereby bridging the gap between theoretical knowledge and practical biotechnological innovation.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.