NAME Sudeshna Tripathy
EMAIL sudeshnatripathy@surendranathcollege.ac.in
PROFILE LINK https://sites.google.com/view/sudeshnatripathy/home
DESIGNATION DEPARTMENT
State Aided College Teacher Computer Science
EDUCATIONAL QUALIFICATION TEACHING EXPERIENCE

M.Sc in Computer Technology

 10 years
AREA OF INTEREST

Algorithm, Data Structure
SEMINAR & SYMPOSIA

Attended 5 days Workshop on "Machine Learning using Python" - August, 2020

Participated in Webinar on "Neural Networks and a brief insight into Deep Learning" - July, 2020

Attended 5 days Faculty Development Program on "Digital image Processing and Machine Learning" - June, 2020

Attended 5 days Faculty Development Program on "Recent Trends in Database Technologies" - June, 2020

Participated in International Online Faculty Enrichment Programme on "Tips and Trics for Publishing in International Scientific Journals" - June, 2020

Participated in IEEE CIS Summer School on Recent Advances in Computational Intelligence (RACI) - September, 2017
STUDY MATERIALS DESCRIPTION
DEPARTMENT NAME MODULE NAME TOPIC NAME YOUR PREVIOUS STUDY MATERIALS
Computer Science Asymptotic Complexity Analysis of Algorithms Space and Time Complexity, Efficiency of an algorithm, Growth of Functions, Polynomial and Exponential Complexity, Asymptotic Notations: Big O Notation and Small o notation, Big Ω and Small ω, Big Θ Notation, Properties: Best case/worst case/average case analysis of well-known algorithms. CLICK HERE FOR VIEW
Computer Science Algorithm Design Techniques Concepts and simple case studies of Greedy algorithms CLICK HERE FOR VIEW
Computer Science Algorithm Design Techniques Greedy Algorithm : Cormen pdf CLICK HERE FOR VIEW
Computer Science Algorithm Design Techniques Dynamic programming CLICK HERE FOR VIEW
Computer Science Algorithm Design Techniques Dynamic programming CLICK HERE FOR VIEW
Computer Science Algorithm Design Techniques Divide and Conquer Algorithm CLICK HERE FOR VIEW
Computer Science Algorithm Design Techniques : Dynamic Programming Matrix Chain Multiplication CLICK HERE FOR VIEW
Computer Science Algorithm Design Techniques : Dynamic Programming Matrix Chain Multiplication CLICK HERE FOR VIEW
Computer Science Operating Systems: Introduction Basic OS functions, types of operating systems- batch processing, multiprogramming, time sharing, multiprocessing, distributed and real time systems. CLICK HERE FOR VIEW
Computer Science Operating System Organization Processor and user modes, kernels, system calls and system programs. CLICK HERE FOR VIEW