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B.Tech in Computer Science (IOT & application)

B.Tech in Computer Science (IOT & application)

School of Engineering and Technology (SET)

  • Program Code

    00001

  • Level

    Graduate

  • Duration

    4 Years

About the Programme

B.Tech in Computer Science in IOT & application imparts firm foundation in computer science wireless communication and computer networks. The programme aims to train students with systematic professional knowledge and strong practical skills in the fields of computer technology communications networks and IT that provides a wide range of applications in the Internet of Things. 

The programme equips students with strong skill for sensor network design and network planning for IoT. The topics include- Introduction to IoT Understanding IoT in Market perspective Data and Knowledge Management and use of Devices in IoT Technology Understanding IoT Architecture and the application of IOT in various technologies.

This programme aims to train students to be equipped with a solid theoretical foundation systematic professional knowledge and strong practical skills in the fields of computer technology communications networks and IT that provides a wide range of applications in the Internet of Things.  

This course is for individuals who...

Seek a solid theoretical foundation systematic professional knowledge and strong practical skills in the fields of communications networks and IT   that provides a wide range of applications in the Internet of Things or IoT. 
 

Students who are looking for...

A career with exceptional prospective fields and a challenging roles in a futuristic industry. The financial security the freedom to relocate lifelong prospect of learning make this programme an ideal career for computer science enthusiasts.
 

Course Fee
Fee Per Semester Fee Per Year
For National Students 92 500 1 79 000
For International Students 1950 3800
Course Structure

S.No.

Course Code

Course Title

L

T

P

Credits

1

CSP101

Introduction to Artificial Intelligence and Machine Learning

0

0

2

1

2

CSE113/CSP113

Programming for Problem Solving

3

0

2

4

3

SC4

Maths I(Bucket based)

3

1

0

4

4

SC8

Engineering Physics

2

1

2

4

5

SC12

Computer Aided Design & Drafting

0

0

3

1.5

6

SC11

Principles of Electrical and Electronics Engineering

2

1

2

4

7

SC16

Soft Skill – 1

0

0

4

2

 

Credits in Term 1

 

 

 

20.5

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

S.No.

Course Code

Course Title

L

T

P

Credits

1

SC3

Application based Programming in Python

3

0

2

4

2

SC5

Maths II(Bucket based)

3

1

0

4

3

SC9

Advanced Physics (Bucket based)

2

1

2

4

4

SC10

Engineering Chemistry

3

0

2

4

5

SC13

Mechanical Workshop

0

0

3

1.5

6

SC17

Soft Skill – 2

1

0

2

2

7

SC24

(Design/creativity) Multimedia Application Lab

0

0

2

1

 

Credits in Term 2

 

 

 

20.5

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.

S.No.

Course Code

Course Title

L

T

P

Credits

1

SC18

CTS-1 Building Essential Language and life skills

0

0

4

2

2

SC14

Introduction to Biology for Engineers

2

0

0

2

3

MTH201

Discrete Structures

3

1

0

4

4

CSE247

Computer Organization and Architecture

3

0

0

3

5

CSE242/CSP242

Data Structures Using C

3

0

2

4

6

CSE243/CSP243

OOPS Using Java

3

0

2

4

7

PC3

Project Based Learning (PBL) -1

0

0

2

1

8

 

Industrial Internship

0

0

2

1

 

CSI201

Introduction to Internet  of Things

3

0

0

3

 

Credits in Term 3

 

 

 

24

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.

S.No.

Course Code

Course Title

L

T

P

Credits

1

SC19

CTS-2 Communicate to conquer

0

0

4

2

2

CSE244/CSp244

Principles of Operating System

3

0

2

4

3

CSE245/CSP245

Computer Networks

3

0

2

4

4

CSE246/CSP246

Data Base Management System

3

0

2

4

5

SC23

Management Course (from basket)

3

0

0

3

6

PC14

Project Based Learning (PBL) -2

0

0

2

1

7

SC7

Environmental Science

2

0

0

2

8

CSP201

Advance Java Lab

0

0

2

1

 

CSI202

IOT and Smart Sensors

3

0

2

4

 

Credits in Term 4

 

 

 

25

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.

S.No.

Course Code

Course Title

L

T

P

Credits

1

SC20

CTS-3 Impress 2 Impact

0

0

4

2

2

CSE341/CSP341

Design and Analysis of Algorithm

3

0

2

4

3

CSE342

Theory of Computation

3

1

0

4

4

CSE343

Software Engineering and Testing Methodologies

3

0

0

3

5

PE1

Program Elective-1

3

0

0

3

6

CSP302

Technical Skill Enhancement Course-1(LINUX Programming Lab)

0

0

2

1

7

PC15

Project Based Learning (PBL) -3

0

0

2

1

8

OE1

Open Elective - 1

3

0

0

3

9

 

Industrial Internship-II

0

0

2

1

 

CSI301

Wireless sensor Networks

3

0

0

3

 

Credits in Term 5

 

 

 

25

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.

S.No.

Course Code

Course Title

L

T

P

Credits

1

SC21

CTS-4 Ace the Interview

0

0

4

2

2

CSE344/CSP344

Compiler Design

3

0

2

4

3

CSE346/CSP346

Artificial Intelligence

3

0

2

4

4

CSP308

Technical Skill Enhancement Course-2(Statistical Analysis Lab)

0

0

2

1

5

PE2

Program Elective-2

3

0

0

3

6

PE3

Program Elective-3

3

0

0

3

7

PC16

Project Based Learning (PBL) -4

0

0

2

1

8

OE2

Open Elective - 2

3

0

0

3

 

CSI302

Embedded systems

3

0

0

3

 

Credits in Term 7

 

 

 

24

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.

S.No.

Course Code

Course Title

L

T

P

Credits

1

PE4

Program Elective-4

3

0

0

3

2

CSE458/CSP458

Web Technologies

3

0

2

4

3

SC26

Major Project- 1

0

0

6

3

4

SC22

Comprehensive Examination

0

0

0

0

5

SC28

Professional Ethics and Values

0

0

0

0

6

SC25

Industrial Internship

0

0

2

1

7

OE3

Open Elective - 3

2

0

0

2

8

 

CTS-5 Campus to corporate

0

0

2

1

 

CSI401

IOT Architecture and Protocols

3

0

0

3

 

Credits in Term 7

 

 

 

17

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.

S.No.

Course Code

Course Title

L

T

P

Credits

1

SC27

Major Project - 2

0

0

18

9

2

PE6

Program Elective-5

3

0

0

3

3

PE5

Program Elective-6

3

0

0

3

4

OE4

Open Elective - 4

3

0

0

3

5

 

Universal Human Value & Ethics

2

0

0

2

 

CSI402

IOT Using RFID and microcontroller

3

0

2

4

 

Credits in Term 8

 

 

 

24

Program Elective List:

PE-1

PE-2

PE-3

PE-4

PE-5

PE-6

                                                                                                                                                                  Introduction to Mathematical & Statistical Techniques in Computer Science                                                CSE348                             

Introduction to Cloud Computing  CSE351

Data Sciences in IOT                                CSI304

Internet of things sensing and actuatur devices CSI403

IOT security CSI405

Industrial IOT CSI406

Introduction to Graph Theory and its Applications CSE349

Dynamic Paridgms in IOT CSI303

 

Introduction to Deep Learning CSA401

 

 

 

 

 

 

 

 

 

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:

Eligibility Criteria
For National Students
  • Matriculation with-60% marks Sr. Secondary (10+2) 70% marks (Aggregate) & minimum 60% marks in PCM Computer Science/PCB for Biotechnology without gap between 10th and 12th.
  • Minimum 50% marks in Maths

+

  • SUAT (Online Test) Followed by Personal Interview

Or

  • JEE All India Rank upto 3 Lakh

Or

  • UPSEE All India Rank upto 50 000
For International Students The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Career path you can choose after the course
  • IoT Engineer
  • Citizen IoT Scientist
  • IoT App Developer
  • Machine Learning Engineer
  • IoT Solution Architect
  • IoT System Administrator

Students of this programme are placed in companies with an average annual package of 3.51 LPA to 12.00 LPA

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