Professionals interested in expanding their technical knowledge, skills and network will have an exceptional opportunity to explore the latest computer science concepts and techniques this summer through the College of Engineering and Applied Science鈥檚 new Tech Frontiers Executive Education courses.
Faculty from the University of Colorado鈥檚 Department of Computer Science and Department of Applied Mathematics will lead courses in data science and machine learning that will include both classroom content and hands-on project experience.
鈥淭he half-life of engineering knowledge is estimated to be less than five years,鈥� said Keith Molenaar, interim dean of CU Engineering. 鈥淧rofessionals need access to high-quality, innovative research, techniques and skills to stay ahead. As the top engineering college in the Rocky Mountain region and a national leader in computer science, we are excited to offer access to our world-class faculty and to create a new professional network of industry leaders in Colorado.鈥�
听Image from research lab of Dan Larremore, CU 麻豆影院
Data Science
July 12-13, 2021
In a world with more data available and more ways to use it than ever before, the ability to collect, prepare, analyze and interpret data is essential to virtually all fields. The data science course, July 12-13, will cover the key aspects of the data science life cycle. Participants will work in teams to apply the concepts learned in the course to real data sets.
鈥淒ata science is crucial for helping organizations make evidence-based decisions and predictions in our fast-moving world,鈥� said Zack Kilpatrick, associate professor in CU 麻豆影院鈥檚 Department of Applied Math and instructor for the short course. 鈥淥ur course will enable managers and practitioners to develop their skills for identifying how data and cutting-edge methods can be used to answer important questions across a broad range of disciplines.鈥�
听Image from CU 麻豆影院 computer science lab
Machine Learning
July 15-16, 2021
The capabilities and applications of machine learning have exploded in recent years. Machine learning now impacts a wide spectrum of areas and has become a key competitive advantage. The machine learning course, July 15-16, will cover key machine learning methods, including deep learning/neural networks, classification methods and non-parametric methods.
鈥淢achine learning is becoming an important part of our everyday lives,鈥� said Katharina Kann, associate professor in CU 麻豆影院鈥檚 Department of Computer Science and instructor for the short course. 鈥淏y educating participants about the most popular machine learning algorithms, potential sources of failure, and the ethical risks involved, this course will empower managers and technical professionals to use this technology wisely and effectively.鈥�
Gain the Advantage
Registration is now open for both courses.听A discounted 'early-bird' registration is available through April 15. Contact Amy Richards,听techfrontiers@colorado.edu, for more information.听
Future Tech Frontier programs will include courses from across the College of Engineering and Applied Science. Contact Bobby Schnabel,听robert.schnabel@colorado.edu, for more information.
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