Discovering the appropriate means of applying statistics, machine learning, artificial intelligence, algorithms, analytics, and analysis patterns to a wide range of engineering challenges.
• Parametric and non-parametric statistics and algorithms for analytics
• Machine learning and artificial intelligence for analytics
• Software and parallelism considerations
• Data mining, knowledge discovery, analytics, and advanced analytics
• Algorithms and advanced algorithms
• Applications from imaging to biometrics to text analytics
• Clustering and regularization, cumulative gain curves
Credit not allowed for both SYSE 571 and ENGR 571
Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email email@example.com to learn more. Discounts are not applicable to Denver sections.
This class is available live via the Internet during the in-person course section time. If you are registered for the 801 section, log into your Canvas account to access the course; directions will be posted. You can also attend the class in person if you contact the instructor ahead of time.
Textbooks and Materials
- Meta-Algorithmics: Patterns for Robust, Low-Cost, High-Quality Systems (2013)
Steven J. Simske
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
Dr. Steven Simske joined Colorado State University in 2018 as a Professor in Systems, Mechanical, and Biomedical Engineering. Before then, he was an HP Fellow and a Research Director in HP Labs. He led HP in research and development in algorithms, multi-media, labels, brand protection, security and secure printing, imaging, 3D printing, analytics and life sciences. He is a long-time member of the World Economic Forum Global Agenda Councils (2010-2016), leads the Steering Committee for the ACM DocEng Symposium, is former President of the Imaging Science and Technology professional organization, and is an IEEE, NAI, IS&T, and CSU FIIE Fellow. Dr. Simske has nearly 250 granted US patents and more than 500 professional publications, including books on machine learning, algorithmics, analytics, and text analytics. He is an Honorary Professor in Computer Science at the University of Nottingham, UK. Dr. Simske completed a BS (Marquette University, 1986) and Masters (Rensselaer Polytechnic University, 1987) in Biomedical Engineering; a PhD (University of Colorado, 1990) in Electrical Engineering, and a PostDoc (University of Colorado, 1993) in Aerospace Engineering. Dr. Simske was a payload specialist on a dozen Space Shuttle missions, and has designed devices ranging from exercise-responsive pacemakers to impedance tomography systems. Dr. Simske was a CSU Alumni Association Best Teacher Awardee in 2022.
Learn more at: http://www.engr.colostate.edu/se/steve-simske/