Enhance your technical knowledge while you advance your career.

Tech Frontiers is the professional development program of the College of Engineering and Applied Science of the University of Colorado Boulder, offering short-form learning on contemporary topics in engineering. Through live sessions taught by CU faculty experts, Tech Frontiers courses offer a mixture of classroom content and discussion or project experience. You’ll interact with faculty and fellow participants as you learn and apply emerging technologies and concepts.

Summer 2022 courses in Applications of Machine Learning in Data Science and Software-Defined Networking (SDN) will include business case studies, discussions on method selection, and opportunities to interact with leaders from CU Boulder and the Boulder area tech community.

Who Should Attend?

  • Managers of tech groups or tech products – from any industry – seeking a greater understanding of contemporary and future technical methods and their application.

  • Tech professionals or others interested in keeping up with the latest developments.

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Courses

Applications of Machine Learning in Data Science

June 2022

Methods in machine learning evolved from the notion that given an influx of data, a well-defined algorithm can teach itself to identify patterns and make future predictions online. 

This course will motivate the use and importance of machine learning with case studies and pinpoint the organization, software, and mathematical knowhow needed for your research and business teams to bring these methods on board and into your vocabulary.

Program Content

  • Benefits of using Machine Learning in Data Science
  • Machine Learning principles and methods
  • Ethical issues in data science
  • Hands-on project experience utilizing real data sets

Faculty

Dr. Zachary Kilpatrick, Associate Professor, Applied Mathematics, CU Boulder

Dr. Bobby Schnabel, Professor and Department External Chair, Computer Science, CU Boulder

Key Benefits

  • Gain exposure to the key technical methods of machine learning and when each should be applied.
  • Understand the business case for a data-driven culture.
  • Gain hands-on project experience applying ML-enabled data science techniques to realistic data sets.
  • Improve awareness of important ethical issues in data science.
  • Network with other experienced professionals, leading faculty, and corporate leaders from the Boulder area.
  • In-person or online attendance.

Cost

Individual and corporate rates available.

Cost includes parking, food, and beverages.

Registration Will Open Soon

Contact techfrontiers@colorado.edu for more information. 

Software-Defined Networking (SDN)

June 2022

This course provides participants with vendor-neutral foundational knowledge of the major domains of networking practices that support the theory and practice of software-defined networking (SDN). 

The conceptual background of SDN architecture, definitions, and the future of the industry are explored with business cases and discussion. The course is designed to serve a variety of audiences, such as SDN Sales Engineers, IT Managers, Product Managers, and anyone interested in learning the SDN concepts and the future of networking. 

Program Content

  • Foundations of SDN
  • SD-WAN Components and Business Applications
  • Virtual Network Services Architecture and Value
  • Cloud Networking and Connectivity
  • Future of SDN

Faculty

Dr. Levi Perigo, Scholar in Residence, Computer Science, CU Boulder
Dr. Eric Keller, Associate Professor, Electrical, Computer, and Energy Engineering, CU Boulder; CTO and Co-Founder, Stateless Inc.
Dr. Murad Kablan, CEO and Co-Founder, Stateless Inc.

    Key Benefits

    • Understand the limitations of legacy networking and how SDN aims to address these issues
    • Become familiar with the components that make up an SDN and current vendor and open-source SDN solutions in industry
    • Discuss the SDN use cases and migration strategies
    • Network with other experienced professionals, leading faculty, and corporate leaders from the Boulder area.
    • In-person or online attendance.

    Cost

    This course is intended for corporate groups. Pricing varies based on group size. Please contact techfrontiers@colorado.edu to learn more.

    Cost includes parking, food, and beverages.

    This course is intended for corporate groups.

    Contact techfrontiers@colorado.edu for more information or to explore registration options.

    Faculty

    Murad Kablan

    CEO and Co-Founder, Stateless Inc.

    Kablan received his PhD in Computer Science at University of Colorado Boulder. His doctoral research uncovered an opportunity for commercialization of SDN technologies, and he co-founded Stateless, Inc., to help others build large, scalable interconnections.

    Eric Keller

    Associate Professor, Electrical, Computer, and Energy Engineering, CU Boulder; CTO and Co-Founder, Stateless Inc.

    Keller’s work in networking, security, and programmable infrastructure introduces new systems, algorithms, and abstractions to enable a more manageable network and computing infrastructure. He received his Ph.D. in Electrical Engineering at Princeton University.

    Zachary Kilpatrick

    Associate Professor, Applied Mathematics

    Kilpatrick’s research leverages behavioral and neural recording data sets from humans and other animals to determine how they make decisions and learn across multiple timescales — validating mathematical models of Bayesian computation and recurrent neural networks. He received his PhD in Mathematics from the University of Utah.

    Levi Perigo

    Scholar in Residence, Computer Science, CU Boulder

    Perigo’s research is focused on software-defined networking (SDN), network functions virtualization (NFV) and next generation internetworking technologies. He is the founder and CEO of Raven Innovation. He has a PhD in Information Systems from Nova Southeastern University.

    Bobby Schnabel

    Professor and Department External Chair, Department of Computer Science

    At CU Boulder, Schnabel has served as the computer science department chair, founding director of the ATLAS Institute, and vice provost for academic and campus computing and campus Chief Information Officer. He was previously CEO of ACM (Association for Computing Machinery) and dean of the School of Informatics and Computing at Indiana University.