• Info: Represent, Process, Viz

    The course explores basic concepts to understand and analyze the design of information systems, and focuses on conceptual understanding of data, information, and knowledge, boundaries in representing and processing information for humans and machines, information theory, and basic techniques to organize, structure, and interact with the information through visualization.Offered by Info Sciences & Technology. May…

  • Info: Represent, Process, Viz

    The course explores basic concepts to understand and analyze the design of information systems, and focuses on conceptual understanding of data, information, and knowledge, boundaries in representing and processing information for humans and machines, information theory, and basic techniques to organize, structure, and interact with the information through visualization.Offered by Info Sciences & Technology. May…

  • Enterprise Network Architecture

    Cover various advanced technologies used in ensuring quality for critical business applications and cost-effective solutions for providing both secure and non-secure communication across a public infrastructure. Topics covered include Quality of Service Performance Routing (PfR), IPSec Virtual Private Networks (VPNs), and Data Center Interconnect (DCI). Offered by Electrical & Comp. Engineering. May not be repeated for…

  • Visualization For Analytics

    Introduces multivariate regression and random forests for modeling data. Addresses data access, variable selection and model diagnostics. Introduces foundations for visual thinking. Reviews common statistical graphics such as dot plots, box plots, q-q plots. Addresses more advanced methods such as scatterplot matrices enhanced by smoothed or density contours, and search tools for finding graphics with…

  • Interpretable Machine Learning

    One of the most common tasks performed by data scientists and data analysts is prediction and machine learning. Machine learning combines advanced topics in statistics, probabilities, linear algebra, and calculus to design mathematical models that learn from data or experience to solve new problems. Computers usually do not explain their predictions which is a barrier…

  • Interpretable Machine Learning

    One of the most common tasks performed by data scientists and data analysts is prediction and machine learning. Machine learning combines advanced topics in statistics, probabilities, linear algebra, and calculus to design mathematical models that learn from data or experience to solve new problems. Computers usually do not explain their predictions which is a barrier…

  • Interpretable Machine Learning

    One of the most common tasks performed by data scientists and data analysts is prediction and machine learning. Machine learning combines advanced topics in statistics, probabilities, linear algebra, and calculus to design mathematical models that learn from data or experience to solve new problems. Computers usually do not explain their predictions which is a barrier…

  • Digital Signal Processing

    The fundamentals of digital signal processing of data experimentally obtained from mechanical systems will be covered. Attention will be given to the data acquisition, A/D conversion, aliasing, anti-aliasing filtering, sampling rates, valid frequency ranges, windowing functions, leakage, and various transform methods. Special attention will be given to random, transient, and harmonic function data processing. Various…

  • Advanced Gpu Programming And Deep Learning

    This course expands on the GPU architecture and programming concepts introduced in ECE 555 by detailing advanced architectural components, such as Tensor Processing Units (TPUs), and their role in accelerating Deep Learning (DL) applications. Lectures study example DL applications, such as object recognition, and how the GPU instruction sets, e.g., Parallel Thread Execution (PTX), are improved to accelerate…

  • News & Reports

    Higher Education: Where Do We Stand? With classes resuming for the fall term, SSTI takes some time to reflect on the state of higher education in their August 22 and September 5 newsletter issues. These blogs examine where higher ed has been and where it currently stands. The post-secondary education system is the cornerstone of…