Teaching

PREVIOUS TEACHING

1.  One semester teaching assistant in the course “Applied Stochastic Process” for B-Stat, third year, in Spring 2010.

2. Took a course jointly with Prof. Erwin Bolthausen on “Mathematical Statistics” , Sep, 2012– December 2012 in University of Zurich.

3. A course on “Basic Probability”, Jan 2013–June 2013, at University of Zurich.

4. A course on “Mathematical Statistics”, Sep 2013–December 2013. Jointly with Prof. Erwin Bolthausen. 

5. Random walk and electrical networks, August 2014-December 2014, ISI Kolkata

6. Advanced Stochastic Processes, M.Stat Final semester, January 2015-May 2015. ISI Kolkata

7. Stochastic processes, M.Stat 1st year, July 2015- December 2015, ISI, Kolkata

8. Random graphs and complex networks, B.Stat 3rd Year,  January 2016-May, 2016, ISI, Kolkata.

9. Measure theoretic probability, M.Math, 1st Year, July 2016-November, 2016, ISI, Kolkata.

10. Weak convergence and Brownian motion, 2nd year JRF, June 2016- October, 2016, ISI, Kolkata.

11. Random Walk and Electrical Networks, M. Stat 2nd year, Jan 2017-May 2017 Course webpage is here.

12. Martingale theory, M.stat 2nd year, July 2017-November, 2017.

13. Weak Convergence and Empirical Processes, M.Stat 2nd year, January 2018-May 2018.

14. Research course on Random graphs, Phd Students, August 2018-December 2018.  (Jointly with Antar Bandyopadhyay).

15. Random graph. BStat 3rd year, Jan 2019--June 2019

16. Measure Theoretic probability, M.Stat, First year, Jan 2019--May 2019

17. Martingale theory. MStat, 2nd Year July 2019--December 2019

18. Weak convergence and Empirical processes, M.Stat 2nd year, January 2020- May 2020.

19. Random Matrix theory, Masters 1st year, February 2021- June 2021

20. High dimensional probability, Bachelor, 3rd year, September 2021- December 2021 

21. Martingale theory and application, Bachelor/Master, February 2022- May 2022 

22. Calculus 1 , Course by LIACS to Data Science/AI students September 2022- November 2022 

23. Calculus 2, Course by LIACS to Data Science/AI students  April 2023- June 2023

24. Random Matrix theory, Masters 1st year, February 2023- June 2023

25. Complex Networks ( for Mathematics, Physics and Comp Sc students) September 2023-December 2023

26. Calculus 1 , Course by LIACS to Data Science/AI students September 2022- November 2022 

27. Calculus 2, Course by LIACS to Data Science/AI students  [upcoming]

28. Random Matrix theory, Masters 1st year, [upcoming]