EE160_Basic Electrical Engineering Laboratory
- Teacher: Dhirendra Sinha
EC201_Digital Logic Design &
EC261_Digital Logic Design Laboratory
- Teacher: Faculty KAMAL_JHA
The objective of this course is to understand principles and practices of computer and network security used in modern cyber-physical systems. The course aims to provide training to students on information security pertaining to system and network security, vulnerability assessment and prevention mechanisms in real-world systems, and risk management with security policy and ethical aspects. After completion of this course, students will be able to display in-depth understanding in computer security, network security, and managing security in real-world problems.
Unit 1 - CRYPTOGRAPHY BASICS: Symmetric and Asymmetric Cryptography, Modern ciphers, Hash functions, Digital signature algorithms, Key management.
Unit 2 - NETWORK SECURITY: Kerberos, SSL/TLS, E-Mail Security, IP security, Web security, IDS/IPS.
Unit 3 - COMPUTER SECURITY: Threats to security, System and Software security; Virus, Trojan, Worms, Malicious software, Firewalls.Unit 4 - SECURITY CONTROLS & POLICIES: Access controls, Security policies, Standards, Ethics in computer security.
- Teacher: V_Faculty Maniklal Das
CS305_Formal Language and Automata Theory
- Teacher: Manasi Kulkarni
Introduction and Objectives
Robots are being used for wide-ranging applications like, manufacturing, surveillance, agriculture, defense, autonomous navigation, and others. As such, robotics uses concepts from linear algebra, probability, signal processing, control systems and image processing and vision, among others in order to achieve its function. This course introduces basic concepts in robotics to UG students via a popular QuadCopter.
After successful completion of the course, the student will
Be able to model a robot: geometry to dynamics
Be able to design movements within environment by solving forward and inverse kinematics
Be able to setup robot experiments within ROS
Be able to simulate and program drone controller in Matlab and ROS
Pre-requisites: Linear algebra, Probability, familiarity with MATLAB, Working knowledge of C++.
- Teacher: Pratik Shah
SC407_Computational Number Theory and Algebra
- Teacher: Swapnil Lokhande
IT401_Management Information Systems
- Teacher: V_Faculty Visiting Faculty
MA101_Mathematics-I (Linear Algebra and Matrices)
- Teacher: Swapnil Lokhande
A lot of engineering problems can be modeled as optimization problems. Machine learning, Robotics, resource allocation, among others utilize concepts and algorithms from optimization. In this course, we will study few fundamental results and algorithms in continuous optimization problems, unconstrained as well as constrained.
With a clear understanding of concepts in Optimization, the student will be equipped to pursue further advanced courses in optimization, and will be able to handle (continuous) optimization problems in several engineering disciplines.