University of Illinois at Urbana-Champaign( 伊利诺伊大学厄巴纳 - 香槟分校) 公开课(将开始)

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Intermediate Organic Chemistry - Part 2 (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 7 weeks

主页: https://www.coursera.org/course/orgchem2b

简介: Organic chemistry course covering intermediate topics in structure and reactivity with special applications to the life sciences.

Creative, Serious and Playful Science of Android Apps (CourseraArchive) 3 个评论 关注

开始时间: 04/22/2022 持续时间: 8 weeks

主页: https://www.coursera.org/course/androidapps101

简介: This course introduces the fundamental computer science principles that power today’s apps. You will also learn to create your own Android app using Java and standard software development tools.

VLSI CAD: Logic to Layout (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 10 weeks

主页: https://www.coursera.org/course/vlsicad

简介: A modern VLSI chip has a zillion parts -- logic, control, memory, interconnect, etc.  How do we design these complex chips?  Answer: CAD software tools.  Learn how to build these tools in this class.

Heterogeneous Parallel Programming (CourseraArchive) 4 个评论 关注

开始时间: 04/22/2022 持续时间: 9 weeks

主页: https://www.coursera.org/course/hetero

简介: This course teaches the use of CUDA/OpenCL, OpenACC, and MPI for programming heterogeneous parallel computing systems. It is application oriented and only introduces necessary technological knowledge to solidify understanding.

Emergence of Life (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 8 weeks

主页: https://www.coursera.org/course/emergenceoflife

简介: How did life emerge on Earth? How have life and Earth co-evolved through geological time? Is life elsewhere in the universe? Take a look through the 4-billion-year history of life on Earth through the lens of the modern Tree of Life.

Sustainable Food Production Through Livestock Health Management (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 6 weeks

主页: https://www.coursera.org/course/sustainablefood

简介: Learn about the impact of infectious disease on sustainable animal-based food production by understanding the science of growth, immunity, and infection and by learning the problem-solving skills needed to advance animal health and food production through optimal management practices.

Global Postharvest Loss Prevention: Fundamentals, Technologies, and Actors (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/postharvestloss

简介: This course provides an overview of the issue of postharvest loss of grains by exploring essential physical, technical, and social dimensions of postharvest supply chains and loss prevention methods globally.

Data Visualization (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/datavisualization

简介: Learn how to transform information from a format efficient for computation into a format efficient for human perception, cognition and communication. Explore elements of computer graphics, human computer interaction, perceptual psychology and design, in addition to data processing and computation.

Financial Evaluation and Strategy: Investments (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/investments

简介: Learn the fundamental principles of trading off risk and return, portfolio optimization, and security pricing—useful skills and concepts to have when making both corporate and personal financial decisions. Also explore market efficiency, behavioral finance, and firm valuation techniques.

Operations Management (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/operationsmanagement

简介: Recognize the role of operations within the bigger picture of business strategy and master the fundamental aspects of managing the operations of a business.

Digital Analytics for Marketing Professionals: Marketing Analytics in Practice (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/dmanalyticspractice

简介: This course builds on the theory and foundations of marketing analytics and focuses on practical application by demystifying the use of data in marketing and helping you realize the power of visualizing data with artful use of numbers found in the digital space.

Text Mining and Analytics (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/textanalytics

简介: Explore algorithms for mining and analyzing big text data to discover interesting patterns, extract useful knowledge, and support decision making.

Digital Analytics for Marketing Professionals: Marketing Analytics in Theory (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/dmanalyticstheory

简介: Learn the introductory theory and strategy behind marketing analytics that provides marketers with the foundation needed to apply data analytics to real-world challenges they confront daily in their professional lives.

Text Retrieval and Search Engines (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/textretrieval

简介: Search engines are essential tools for managing and mining big text data. Learn how search engines work, the major search algorithms, and how to optimize search accuracy.

Marketing in a Digital World (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 4 weeks

主页: https://www.coursera.org/course/dmdigitalworld

简介: This course will examine how digital tools, such as the Internet, smartphones, and 3D printing, are revolutionizing the world of marketing by shifting the balance of power from firms to consumers.

University of Illinois iMBA Program (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: Unknown

主页: https://www.coursera.org/course/imba

简介: Learn the strategic approach to management with a flexible, online MBA curriculum. A high-quality and affordable program from the University of Illinois, built on Coursera Specializations.

Data Mining Capstone (CourseraArchive) 0 个评论 关注

开始时间: 04/22/2022 持续时间: 6 weeks

主页: https://www.coursera.org/course/dataminingcapstone

简介: Apply the learned algorithms and techniques for data mining from the previous courses in the Data Mining Specialization to solve interesting real-world data mining challenges.