Subjects

Subject - Data ScienceSubject - Data ScienceCourse Objectives: * To understand the need of Data Science * To understand computational statistics in Data Science * To study and understand the different technologies used for Data processing * To understand and apply data modeling strategies * To learn Data Analytics using Python programming * To be conversant with advances in analytics Course Outcomes On completion of the course, learner will be able to 1. CO1: Analyze needs and challenges for Data Science 1. CO2: Apply statistics for D

Subject - Cyber SecuritySubject - Cyber SecurityUnit III: Public Key And Management 1. \\Readwise/Articles/Public Key Cryptography * Basics and importance * Key components 1. RSA Algorithm * Working, Key length, Security * Key Distribution 1. Diffie-Hellman Key Exchange * Process and importance 1. Elliptic Curve Cryptography * Arithmetic, Cryptography, Security * Authentication methods 1. Message Digest * Definition and purpose 1. Kerberos and X.509 Authentication Service * Overview and significance 1. Digita

Subject - Artificial Neural NetworksSubject - Artificial Neural NetworksCourse Objectives: 1. To provide students with a basic understanding of the fundamentals and applications of artificial neural networks 1. To identify the learning algorithms and to know the issues of various feed forward and feedback neural networks. 1. To Understand the basic concepts of Associative Learning and pattern classification. 1. To solve real world problems using the concept of Artificial Neural Networks. Course Outcomes On completion of the course, learner will be able to CO1: Un

Subject - Cloud ComputingSubject - Cloud ComputingCourse Objectives: * To study fundamental concepts of cloud computing * To learn various data storage methods on cloud * To understand the implementation of Virtualisation in Cloud Computing * To learn the application and security on cloud computing * To study risk management in cloud computing * To understand the advanced technologies in cloud computing Course Outcomes On completion of the course, learners should be able to * CO1: Understand the different Cloud Computing environment * CO2:

Honours - Artificial Intelligences and Machine LearningHonours - Artificial Intelligences and Machine LearningCourse Objectives Course Outcomes Course Contents AI-Notes Learning Resources