Teaching Experience

Python Programming Lab (BIO-401B), Summer, 2024.

Role: Invited Guest Lectures
Place: MIT World Peace University, Pune
Duration: 2 months (5 lectures)
Mode: Online (via Cisco Webex, G-Meet)

Topics covered: basic operations, variables, data types, lists, sets, tuples, dictionaries, conditional statements, loops.

Introduction to Linear Algebra (UMAT-302), Summer, 2023.

Role: Course Instructor
Place: Sri Sathya Sai Institute of Higher Learning, A.P.
Duration: 4 months
Mode: Offline

Topics covered: vector spaces, subspaces, linear dependence and independence, basis, linear transformations, kernels and Images, isomorphisms, matrix representations, system of linear equations, theory of eigen values and eigen vectors. (Lecture Notes)

Digital Image Processing Lab (MTCS-104), Summer, 2023.

Role: Teaching Assistant
Place: Sri Sathya Sai Institute of Higher Learning, A.P.
Duration: 4 months
Mode: Offline

Topics covered: basics of open-cv library, i/o images, display, different data types, intensity transformations, histogram equalization, linear and nonlinear spatial filtering, basics of Fourier transform, filtering in frequency domain, image enhancements, smoothening and sharpening using laplacian, ideal low-pass filters, gaussian, butterworth filters.

Python Lab (UCSC-202), Fall, 2022-2023.

Role: Course Instructor
Place: Sri Sathya Sai Institute of Higher Learning, A.P.
Duration: 4.5 months
Mode: Offline

Topics covered: basic operations, variables, data types, lists, sets, tuples, dictionaries, loops, conditional statements, classes, objects, symbolic computations, data structures, solving first order odes, pi-approximation, basics of numerical linear algebra.

Theory of Partial Differential Equations (PMAT-301), Summer, 2019.

Role: Teaching Assistant
Place: Sri Sathya Sai Institute of Higher Learning, A.P.
Duration: 2 weeks
Mode: Offline

Topics covered: introduction to Sobolev spaces.