Welcome to Human-Computer Interaction Course – (HCI). This course will elaborate almost all the basics of Human-Computer Interaction principals with real-world examples. Following are the list of Learning Objectives (LO) covered in this module.
To understand what is Human-Computer Interaction – HCI
To understand requirement collection techniques in HCI
To understand how to design HCI experiments
To understand how HCI evaluations are taking place.
To understand the evolution of the Graphical User Interfaces – GUIs
To understand the difference between Virtual Reality and Augmented Reality
Setting up the Environment for Machine Learning:-Downloading & setting-up Anaconda, Introduction to Google Collabs
Supervised Learning Techniques:-Regression techniques, Naïve Bayer’s, Artificial Neural Networks
Unsupervised Learning Techniques:- Clustering, K-Means clustering
Who this course is for:
- All undergraduate and postgraduate students following computer science, software engineering, information systems, information technology