B.Tech in Computer Science (IOT & application)

Introduction to Computer Science and Engineering: This course focuses application areas of Computer Science and Engineering for students admitted in undergraduate program. The purpose of B. Tech. in Computer Science & Engineering is to be given through this course to students.

Programming for problem solving: Programming for problem solving gives the Understanding of C programming and implement code from flowchart or algorithm

Application Based Programming in Python : Python is a language with a simple syntax and a powerful set of libraries. It is widely used in many scientific areas for data exploration. This course is an introduction to the Python programming language for students without prior programming experience. We cover data types control flow object-oriented programming.

Multimedia and Animation Lab: This course is an overview of the modern technologies used for the Web development.

Object Oriented Programming Using JAVA: Basic  Object Oriented Programming  (OOP) concepts including objects   classes methods parameter passing information hiding inheritance and polymorphism are introduced and their implementations using Java  are discussed.

Data Structures: This course  starts with an introduction to data structures with its classification efficiency of different algorithms array and pointer based implementations and Recursive applications. As the course progresses the study of Linear and Non-Linear data structures are studied in details. The course talks primarily about Linked list stacks queue Tree structure Graphs etc. This Course also deals with the concept of searching sorting and hashing methods.

Computer Organization and Architecture: This course discusses the basic structure of a digital computer and used for understanding the organization of various units such as control unit Arithmetic and Logical unit and Memory unit and I/O unit in a digital computer.

Introduction to Internet of Things: This course introduces Concepts for internet of things and how we can embed it into our daily lives for the development of life style. It will also help students to build applications according to their problem statements.

Computer Network: To familiarize with the basic taxonomy and terminology of computer networking area.

Data Base Management systems: This course introduces database design and creation using a DBMS product. Emphasis is on normalization data integrity data modeling and creation of simple tables queries reports and forms. Upon completion students should be able to design and implement normalized database structures by creating simple database tables queries reports and forms.

Principles of Operating system: This course introduces the design principles of operating systems resource management identifying challenges and applying respective algorithms.     

  Advance Java Programming Lab: This course is designed to meet the needs of those who want to be professional Java developers. Students should be familiar with Java programming techniques and should be comfortable with concepts such as Classes Objects Inheritance Interfaces I/O Streams Threading and Networking.

  Smart Sensors and Sensor Networking : This subject explores the latest sensor and sensor networks techniques and applications showing how networked wireless sensors are used to monitor and gather intelligence from our surrounding environment.

Theory of computation: The course introduces some fundamental concepts in automata theory and formal languages including grammar finite automaton regular expression formal language pushdown automaton and Turing machine. Not only do they form basic models of computation they are also the foundation of many branches of computer science e.g. compilers software engineering concurrent systems etc. The properties of these models will be studied and various rigorous techniques for analyzing and comparing them will be discussed by using both formalism and examples.

Software Engineering and Testing Methodologies: The objective of this course is to provide fundamental knowledge of software engineering and make student aware of best software engineering practices and contemporary software engineering tools.

  Linux Programming Lab: The course is designed to make the students research/industry ready as by using the open source applications along with any of the Linux flavor operating systems.

Design and Analysis of Algorithms: This course introduces concepts related to the design and analysis of algorithms. Specifically it discusses recurrence relations and illustrates their role in asymptotic and probabilistic analysis of algorithms. It covers in detail greedy strategies divide and conquer techniques dynamic programming and max flow - min cut theory for designing algorithms and illustrates them using a number of well-known problems and applications.

Introduction to Graph Theory and its Application: This course is to teach students the basic graph theory concepts and their applications in computer science.

Mathematical and Statistical Techniques: In this subject the fundamental concepts and principles of Mathematical & Statistical Techniques together with the challenging issues in Computer Science software development will be introduced.  Discussion on various topics related to mathematics and Computer Science will also be conducted. 

Wireless sensor Networks: This subject gives the concept of spatially distributed autonomous devices using sensors to monitor physical or environmental conditions.

Compiler Design: To provide students with an overview of the issues that arise in Compiler construction as well as to throw light upon the significant theoretical developments and tools that are deep rooted into computer science.

Artificial Intelligence: This course introduces basic aspects of Artificial intelligence comparing the AI and conventional solutions to real world problems utilizing and analyze AI techniques for identifying optimal solutions to search strategies.

  Introduction to Cloud Computing: This course introduces advanced aspects of Cloud Computing encompassing the principles to analyze the cloud identify the problems and choose the relevant models and algorithms to apply.

Big data analytics of IOT in IOT : This course provides a way to understand the concepts and the basics of big data analytics and their role in Internet of things.

Embedded systems: the fundamentals of embedded system hardware and firmware design will be explored. Issues such as embedded processor selection hardware/firmware partitioning glue logic circuit design circuit layout circuit debugging development tools firmware architecture firmware design and firmware debugging will be discussed. The Intel 8051 a very popular microcontroller will be studied. The architecture and instruction set of the microcontroller will be discussed.

Web Technology:   The purpose of this course is to give students the basic understanding of how different computers and devices to communicate and share resources as well as to give the basic overview of the different technologies.

Introduction to Deep Learning: This course introduces neural computational paradigm for critical & implementable understanding for automated learning based problem areas.

IOT Architecture and Protocols: The purpose of this course is to impart knowledge on IoT Architecture and various protocols study their implementations.

Internet of things sensing and actuator devices: The purpose of this course is to impart knowledge on Internet of Things (IoT) which relates to the study of sensors actuators and controllers among other Things IoT applications and examples overview (building automation transportation healthcare industry etc.) with a focus on wearable electronics.

Program Elective List:

Total Credits: __180___

Minimum Credits essential for the Programme:__180___

IOT security: Objective of this course is to understand the Security requirements in IoT to understand the cryptographic fundamentals for IoT

Also this course will help student understand the various types Trust models and Cloud Security.

Industrial Network Protocols and IoT:

IOT Using RFID and microcontroller: