Job description:
The Candidate Who can Teach and Discuss the Following Topics thoroughly and Can Explain One-One Sessions to the Students at Our Institution/University.

Topics :
Algorithms and Abstraction
Programming Basics
Data Representation Functions
Functions II & How Python Works
Booleans and Conditionals Circuits and Gates
While Loops
For Loops
Strings
Lists
References and Memory
Recursion Recursion II & Search Algorithms
Runtime and Big-O Notation
Dictionaries
Designing Efficient Algorithms
Trees
Graphs
Search Algorithms II
Tractability
Levels of Concurrency
Parallel Programming
How The Internet Works
Authentication and Encryption
Managing Large Code Projects
Data Analysis – Modeling and Parsing
Simulation – Model, View, Controller
Machine Learning
Data Analysis – Analyzing and Visualizing
Simulation – Experiments and Trials