B.Tech. (Information Technology)

Syllabus for the Courses:

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.

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

Human Computer Interaction: In this course Students will learn the fundamental concepts of human-computer interaction and user centered design thinking through working in teams on an interaction design project supported by lectures readings and discussions. They will learn to evaluate and design usable and appropriate software based on psychological social and technical analysis. They will become familiar with the variety of design and evaluation methods used in interaction design.

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. 

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.

  Android Application Development: The course will introduce concepts of the Android platform Android application components Activities and their lifecycle UI design. It will also help students to build applications according to their problem statements.

  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.

Software Project Management: This course introduces concepts of software project management in which Project Planning Project Evaluation Software Effort estimation Monitoring and control and Managing contracts tools and techniques are included.

Web Designing: This course is an overview of the modern Web technologies used for the Web development. The purpose of this course is to give students the basic understanding of how things work in the Web world from the technology point of view.

Soft computing: This course introduces soft computing theories techniques and tools. Those are frequently required for understanding and developing the exploratory data analysis techniques and knowledge discovery and intelligent systems.

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.

Digital Image Processing: This course is to study the image fundamentals and mathematical transforms necessary for image processing.

Wireless Network : Overview of wireless network architectures including cellular networks local area networks multi-hop wireless networks such as ad hoc networks mesh networks and sensor networks capacity of wireless networks medium access control routing protocols and transport protocols for wireless networks mechanisms to improve performance and security in wireless networks energy-efficient protocols for sensor networks.

  Mobile Computing: This course will give you an understanding of mobile computer systems particularly in the context of wireless network systems such as 2G/3G/4G mobile telephony data networks and other wireless networks and infrastructure.

Software Testing: This course will examine fundamental software testing and related program analysis techniques. The important phases of testing will be reviewed emphasizing the significance of each phase when testing different types of software. The course will also include concepts such as test generation test coverage regression testing mutation testing program analysis (e.g. program-flow and data-flow analysis) and test prioritization.

Program Elective List:

Total Credits: __160___

Minimum Credits essential for the Programme:__160___

Distributed System Concepts & Design: This course covers issues and solutions related to the design and the implementation of distributed algorithms for different issues of distributed system.

  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.