Mrinal Kanti Das

Teaching Experience

  • Theory and Practice of Data Science.
    This course is to teach under-graduate students to gain theoretical and practical maturity and ability to be able to solve problems encountered in data science today whether be related to industries or academic research.
    Spring semester at Indian Institute of Technology Palakkad, 2018.

  • Practical session for Database Management Systems.
    To provide hands-on experience to students on database management systems through complementing theory classes.
    Spring semester at Indian Institute of Technology Palakkad, 2018.

  • Paradigms of programming.
    This course covers various programming paradigms like imperative, object oriented, functional, logic etc.
    Fall semester at Indian Institute of Technology Palakkad, 2017.

  • Principles of machine learning.
    I am a guest lecturer covering generative models, EM algorithm, Gibbs sampling, Gaussian mixture models, topic models.
    Fall semester at Indian Institute of Technology Palakkad, 2017.

  • Privacy aware learning.
    This course covers topic in basic machine learning, differential privacy fundamentals and techniques. Later part it covers recent research papers and also mini-projects.
    Fall semester at Aalto university, 2015.
    Course page at Aalto University