This course continues our data structures and algorithms specialization by focussing on the use of linear and integer programming formulations for solving algorithmic problems that seek optimal solutions to problems arising from domains such as resource allocation, scheduling, task assignment, and variants of the traveling salesperson problem. Next, we will study algorithms for … [Read more...] about Approximation Algorithms and Linear Programming
Algorithms
An Introduction to Cryptography
Cryptography is an essential part of secure but accessible communication that's critical for our everyday life and organisations use it to protect their privacy and keep their conversations and data confidential. This course provides a comprehensive introduction to the fascinating world of cryptography, covering both historical cyphers and modern-day cryptographic … [Read more...] about An Introduction to Cryptography
Robot Localization with Python and Particle Filters
In this one hour long project-based course, you will tackle a real-world problem in robotics. We will be simulating a robot that can move around in an unknown environment, and have it discover its own location using only a terrain map and an elevation sensor. We will encounter some of the classic challenges that make robotics difficult: noisy sensor data, and imprecise … [Read more...] about Robot Localization with Python and Particle Filters
Java Classes and Objects
In Object-Oriented Programming in a language such as Java, Classes and Objects are often used interchangeably but there is a distinction between the two. A class is a blueprint for objects. In this project you will create an application that defines a Car class and create one to many Car objects. A Car class contains the common attributes all cars have; color, make and … [Read more...] about Java Classes and Objects
Neural Network from Scratch in TensorFlow
In this 2-hours long project-based course, you will learn how to implement a Neural Network model in TensorFlow using its core functionality (i.e. without the help of a high level API like Keras). You will also implement the gradient descent algorithm with the help of TensorFlow's automatic differentiation. While it’s easier to get started with TensorFlow with the Keras API, … [Read more...] about Neural Network from Scratch in TensorFlow
