Past Seminars- Special Colloquium

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  • Andreas Malmendier
    Wed May 23, 2018
    4:00 pm
    In this talk, I will present on my experiences and ideas related to teaching across three different institutions (USU, Colby College, and UCSB). First, I will discuss my approach to lower division math classes that emphasizes interdisciplinary applications of mathematics to physics and engineering. Second, I will talk about my experiences with...
  • Mario Micheli
    Mon Feb 5, 2018
    4:00 pm
    In this talk I will illustrate my ideas and plans about the development of an undergraduate curriculum in the broader area of data science that includes, among other things, a course in image processing. I will give an overview of the field, discuss typical problems that are studied within the discipline, and present an array of applications in...
  • James Rolf
    Fri Feb 2, 2018
    3:00 pm
    I will talk about the use of peers to enhance learning in three different contexts.  The first context is a flipped integral calculus course. Students are expected to prepare for class ahead of time by watching video(s) and taking online quizzes.  The instructor accesses the quiz data before class and uses student responses to tailor the...
  • Jeff Ludwig
    Wed Jan 31, 2018
    4:00 pm
    For 3 years I served as the Director of Jump Labs, a new endeavor for cutting-edge research and recruiting launched by Jump Trading, a quantitative high frequency trading firm based in Chicago.  Jump Labs sponsors research in high performance computing and data science via gifts grants involving: Mentors from Jump Trading and Jump...
  • Maryann Hohn
    Mon Jan 29, 2018
    4:00 pm
    Undergraduates are curious about research in mathematics: what kinds of questions do mathematicians ask, what does research entail, how do you begin to solve a new problem. In this talk, we will discuss integrating undergraduate research projects inside the classroom and how to expose students to new mathematical questions in both upper and lower...
  • Daniel O'Connor
    Fri Jan 19, 2018
    3:00 pm
    Proximal algorithms offer state of the art performance for many large scale optimization problems. In recent years, the proximal algorithms landscape has simplified, making the subject quite accessible to undergraduate students. Students are empowered to achieve impressive results in areas such as image and signal processing, medical imaging, and...
  • Konstantin Tikhomirov
    Thu Jan 18, 2018
    4:00 pm
    Convex-geometric methods, involving random projection operators and coverings, have been successfully used in the study of the largest and smallest singular values, delocalization of eigenvectors, and, among further applications, in establishing the limiting spectral distribution for certain random matrix models. Conversely, random linear...