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B.Tech (CSE) - Artificial Intelligence for IoT Applications in association with Aeris Communications

B.Tech (CSE) - Artificial Intelligence for IoT Applications in association with Aeris Communications

Sharda School of Engineering and Technology (SET)

  • Programme Code

    SET0101

  • Level

    Graduate

  • Duration

    4 Years

About the Programme

B.Tech (CSE) - Artificial Intelligence for IOT applications in association with AERIS Communication. 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. 

Programme Educational Objectives (PEO)

  • PEO-1 The graduates will establish themselves as professionals by solving real-life problems using exploratory and analytical skills acquired in the field of Computer Science and Engineering.
  • PEO-2 The graduates will provide sustainable solutions to ever changing interdisciplinary global problems through their Research & Innovation capabilities.
  • PEO-3 The graduates will become employable, successful entrepreneur as an outcome of Industry-Academia collaboration. 
  • PEO-4 The graduates will embrace professional code of ethics while providing solution to multidisciplinary social problems in industrial, entrepreneurial and research environment to demonstrate leadership qualities.

Program Outcomes (PO’s)

  • PO1:  Engineering knowledge:  Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  • PO2:  Problem analysis:  Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
  • PO3:  Design/development of solutions:  Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
  • PO4:  Conduct investigations of complex problems:  Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
  • PO5:  Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
  • PO6:  The engineer and society:  Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
  • PO7:  Environment and sustainability:  Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
  • PO8:  Ethics:  Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  • PO9:  Individual and team work:  Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  • PO10:  Communication:  Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
  • PO11:  Project management and finance:  Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
  • PO12:  Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PSO's:

  • PSO1:  Experiment and prepare programming concepts and provide new ideas and innovations towards research and societal issues.
  • PSO2:  Analyse and develop computer programs in the areas related to algorithms, system software, cloud computing, artificial intelligence & machine learning, bioinformatics, big data analytics, block chain, cyber security and networking for efficient design of computer-based systems of varying complexity.
  • PSO3:  Apply standard Software Engineering practices and strategies in software project development using open-source programming environment to deliver a quality product for business success.

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
For National Students
1st Year 250000 2nd Year 257500 3rd Year 265225 4th Year 273182
For International Students
Fee Per Semester Fee Per Year
2050 4000**
Programme Structure

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

 

L

T

P

 

THEORY SUBJECTS

1

CSE113

Programming for Problem Solving

3

0

0

3

 

 

2

MTH142

Calculus and Abstract Algebra

3

1

0

4

 

 

3

PHY125

Engineering Physics-I

3

1

0

4

 

 

OR

 

 

 

 

 

 

EEE112

Principles of Electrical and Electronics Engineering

2

1

0

3

 

 

4

CVL103

Environmental Studies

2

0

0

0

 

 

OR

 

 

 

HMM111

Value & Ethics

2

 

 

Practical/Viva-Voce/Jury

5

ARP101

Communicative English-1

1

0

2

2

 

 

6

CSP113

Programming for Problem Solving Lab

0

0

2

1

 

 

7

CSP101

Introduction to Computer Science and Engineering

0

0

2

1

 

 

8

MEP106

Computer Aided Design & Drafting

0

0

3

1.5

 

 

OR

 

 

MEP105

Mechanical Workshop

0

0

3

 

 

9

PHY162

Physics Lab

0

0

2

1

 

 

OR

 

 

EEP112

Principles of Electrical and Electronics Engineering

 

 

TOTAL CREDITS

 

 

 

 

18.5/19.5

 

 

Sharda School of Engineering & Technology

Department of Computer Science & Engineering

B.Tech-Computer Science & Engineering

Batch: 2023 Onwards

 

TERM: II

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

L

T

P

THEORY SUBJECTS

1

CSE114

Application based Programming in Python

3

0

0

3

 

2

CSE242

Data Structures

3

0

0

3

 

3

MTH145

Probability and Statistics                                                                                                                         

3

1

0

4

 

4

PHY125

Engineering Physics-I

3

1

0

4

 

OR

 

EEE112

Principles of Electrical and Electronics Engineering

2

1

0

3

 

5

HMM111

Values and Ethics

2

0

0

2

 

OR

 

 

CVL103

Environmental Studies

0

 

Practical/Viva-Voce/Jury

6

ARP102

Communicative English -2

1

0

2

2

 

7

CSP116

Design and creativity Lab

1

0

2

2

 

8

CSP242

Data Structures Lab

0

0

2

1

 

9

CSP114

Application based Programming in Python

0

0

2

1

 

10

MEP105

Mechanical Workshop

0

0

3

1.5

 

OR

 

MEP106

Computer Aided Design & Drafting

0

0

3

 

11

PHY162

Physics Lab II

0

0

2

1

 

OR

 

EEP112

Principles of Electrical and Electronics Engineering

0

0

2

 

TOTAL CREDITS

 

 

 

 

21.5/ 22.5

 

Sharda School of Engineering & Technology

Department of Computer Science & Engineering

B.Tech-Computer Science & Engineering

Batch: 2023 Onwards

 

TERM: III

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

L

T

P

THEORY SUBJECTS

1

BTY223

Introduction to Biology for Engineers

2

0

0

2

 

2

CSE245

Discrete Structures

3

1

0

4

 

3

CSE247

Computer Organization and Architecture

3

0

0

3

 

4

CSE252

Computer Networks

3

0

0

3

 

5

CSE253

Object Oriented Programming Using Java

2

0

0

2

 

6

CSE254

Principles of Operating System

2

0

0

2

 

 

 

 

 

 

 

 

 

Practical/Viva-Voce/Jury

7

ARP207

Logical Skills Building and Soft Skills

1

0

2

2

 

8

CSP243

Object Oriented Programming Using Java

0

0

2

1

 

9

CSP244

Principles of Operating System Lab

0

0

2

1

 

10

CSP252

Computer Networks Lab

0

0

2

1

 

11

CSP254

Project Based Learning (PBL) -1

0

0

4

2

 

12

CSP292

Summer Internship-I

-

-

-

2

 

 

 

 

 

 

 

 

 

TOTAL CREDITS

 

 

 

 

25

 

 

Sharda School of Engineering & Technology

Department of Computer Science & Engineering

B.Tech-Computer Science & Engineering

Batch: 2023 Onwards

 

TERM: IV

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

L

T

P

THEORY SUBJECTS

1

CSE249

Data Base Management System

3

0

0

3

 

2

CSE251

Theory of Computation

3

1

0

4

Discrete Structures

3

HMM305

Management for Engineers

3

0

0

3

 

4

PE-1

Program Elective-1

 

 

 

3

 

CSE011

Mathematical Techniques

3

0

0

 

CSE012

Introduction to Graph Theory and its Applications

 

CSE014/ CSP014

Advanced Java Programming

2

0

2

 

5

OE1

Open Elective – 1

2

0

0

2

 

Practical/Viva-Voce/Jury

6

ARP208

Quantitative and Qualitative Aptitude Skill Building

1

0

2

2

 

7

IED001

Introduction to Entrepreneurship Development

0

1

2

2

 

8

CSP249

Data Base Management System Lab

0

0

2

1

 

9

CSP297

Project Based Learning (PBL) -2

0

0

4

2

PBL-1

TOTAL CREDITS

 

 

 

 

22

 

Sharda School of Engineering & Technology

Department of Computer Science & Engineering

B.Tech-Computer Science & Engineering

Batch: 2023 Onwards

 

TERM: V

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

L

T

P

THEORY SUBJECTS

1

CSE354

Design and Analysis of Algorithm

3

0

0

3

Data Structure

2

CSE356

Software Engineering and Testing Methodologies

2

0

0

2

 

3

PE2

Program Elective-2

 

 

 

3

Operating System(3)

CSE021

Introduction to Cloud Computing

3

0

0

Object Oriented Programming using Java(Semester 3)

CSE023/ CSP023

Android Application Development

2

0

2

 

CSE024/ CSP024

Web Technologies

 

4

  OE-2

Open Elective – 2

2

0

0

2

 

Practical/Viva-Voce/Jury

5

ARP305

Personality Development and Decision making Skills

1

0

2

2

 

6

BRM002

Research Methodology

0

1

2

2

 

7

CSP350

Design and Analysis of Algorithm Lab

0

0

2

1

 

8

CSP354

Project Based Learning (PBL) -3

0

0

4

2

PBL-2

9

CSP355

Software Engineering and Testing Methodologies

0

0

2

1

Data Structure Lab

10

CSP391

Summer Internship-II

-

-

-

2

Operating system, DBMS

11

CSP395

Technical Skill Enhancement Course-1 Simulation Lab

0

0

2

1

 

12

ECC301

Community Connect

-

-

-

2

Summer Internship-I

TOTAL CREDITS

 

 

 

 

23

 

 

Sharda School of Engineering & Technology

Department of Computer Science & Engineering

B.Tech-Computer Science & Engineering

Batch: 2023 Onwards

 

TERM: VI

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

L

T

P

THEORY SUBJECTS

1

CSE353

Compiler Design

3

0

0

3

 

2

CSE472

Artificial Intelligence

3

0

0

3

 

3

PE3

Program Elective-3

3

0

0

3

 

CSE031

Digital Image Processing

 

CSE032

Cryptography and Network Security

 

4

PE4

Program Elective-4

3

0

0

3

 

CSE041

Software Project Management

 

CSE042

Software Testing

 

5

PE5

Program Elective-5

3

0

0

3

 

CSE051

Wireless Networks

 

CSE052

Risk Management

 

CSE053

Advanced Operating System

 

6

  OE-3

Open Elective – 3

3

0

0

3

 

Practical/Viva-Voce/Jury

7

ARP306

Campus to Corporate

1

0

2

2

 

8

CSP353

Compiler Design Lab

0

0

2

1

Operating system Lab

 

CSP472

Artificial Intelligence Lab

0

0

2

1

 

9

CSP396

Technical Skill Enhancement Course-2(Application Development Lab)

0

0

2

1

 

10

CSP398

Project Based Learning (PBL) -4

0

0

4

2

PBL-3

TOTAL CREDITS

 

 

 

 

25

 

Sharda School of Engineering & Technology

Department of Computer Science & Engineering

B.Tech-Computer Science & Engineering

Batch: 2023 Onwards

 

TERM: VII

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

L

T

P

THEORY SUBJECTS

1

CSE473

Machine Learning

3

0

0

3

 

2

 

Program Elective-6

3

0

0

3

 

CSE062

Mobile Computing

 

CSE063

Quantum Computing

 

3

 

Program Elective-7

2

0

0

2

 

CSE071

Introduction to Internet of Things

 

CSE072

Parallel Computing Algorithms

 

CSE073

3D Printing and Software Tools

 

6

OE4

Open Elective – 4

3

0

0

3

 

Practical/Viva-Voce/Jury

7

CSP473

Machine Learning Lab

0

0

2

1

 

8

CSP496

Summer Internship-III

-

-

-

2

PBL-4

9

CSP497

Capstone – 1

-

-

-

2

Summer Internship-II

TOTAL CREDITS

 

 

 

 

16

 

Sharda School of Engineering & Technology

Department of Computer Science & Engineering

B.Tech-Computer Science & Engineering

Batch: 2023 Onwards

 

TERM: VIII

S. No.

Course Code

Course

Teaching Load

Credits

Pre-Requisite/Co Requisite

L

T

P

Practical/Viva-Voce/Jury

1

CSP498

Capstone  - 2

-

-

-

8

Major Project - 1

TOTAL CREDITS

 

 

 

 

8

 

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

 

 

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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