B. Tech Artificial Intelligence and Data Science Syllabus

B. Tech in artificial intelligence colleges offer 4-year degree programs in the tech education sector which include B. Tech artificial intelligence and data science, data engineering, data mining, and machine learning. The way individuals view engineering education has changed as a result of B. Tech in artificial intelligence colleges. Though in different ways, these two technologies use data in their day-to-day operations. Top private engineering colleges in Delhi with low fees offer joint degrees in B. Tech AI and data science, two disciplines of engineering that are very closely associated. To provide students with a thorough understanding of both disciplines, the B. Tech in artificial intelligence colleges also incorporate snippets of data science engineering.

The distinction between AI and DS

There are several connections between the two technologies. Gathering and preparing data for artificial intelligence to utilize in data science applications is the aim of data engineering. Data science uses this information in a predictable way to analyse and draw conclusions. The process of creating intelligent systems with data and technology is known as artificial intelligence. B. Tech Artificial intelligence and data science teach skills to employ data to produce analysis-related results.

This post provides an overview of B. Tech in artificial intelligence and data science for engineering students. It will also cover B. Tech Artificial Intelligence syllabus. Using three distinct criteria, the paper also shows the distinctions between B. Tech AI and data science.

To learn more about the best engineering colleges in Delhi with low fees that provide a B. Tech in artificial intelligence and data science, keep reading. B. Tech AI and Data Science is a field that is still developing and taking the world by storm.

What do you mean by Artificial intelligence?

Artificial intelligence (AI) is the capacity of digital computers to do tasks that are typically performed by humans. Artificial intelligence, or AI, aims to imitate the human mind by giving machines the ability to reason, solve problems, and make judgment calls.

Programming, artificial intelligence, calculus, abstract algebra, networking principles, data structures, computer networks, computation, databases, operating systems, algorithms, web technologies, quantum computing, compilers, cryptography, cloud computing, management, and research are all covered in the B. Tech Artificial Intelligence syllabus.

What is the purpose of artificial intelligence?

The main objective of artificial intelligence is to augment human abilities and predict the improbable events that the human brain is incapable of processing. Artificial intelligence has the potential to alleviate the difficulties associated with human labour and pave the way for positive human development. In data science, artificial intelligence serves similar purposes.

 

B. Tech Artificial Intelligence Syllabus

The table below lists the overview of the B. Tech Artificial Intelligence syllabus. Most of the top private engineering colleges in Delhi adhere to the same curriculum. However, based on the curriculum, several colleges for artificial intelligence in B. Tech might offer various electives. If you want comprehensive information about the B. Tech artificial intelligence syllabus electives offered by the top 10 private engineering colleges in Delhi NCR, then get in touch with the college of your choice.

 

Semester I	Semester II
Programming for Problem-solving	Application-based Programming in Python
Calculus & Abstract Algebra	Probability & Statistics
Engineering Physics – I	Principles of Electrical & Electronics Engineering
Environmental Studies	Human Value & Ethics
Communicative English – I	Communicative English – 2
Programming for Problem-solving – Lab	Design & Creativity Lab
Introduction to Computer Science & Engineering	Application-based Programming in Python
Computer-aided Design & Drafting	Mechanical Workshop
Physics Lab	Principles of Electrical & Electronics Engineering
Semester III	Semester IV
Data Structures	Introduction to Biology for Engineers
Discrete Structures	Database Management Systems
Computer Organization & Architecture	Theory of Computation
Object-oriented Programming using Java	Computer Networks
Principles of Operating System	Mathematical Techniques
Introduction of Entrepreneurship	Introduction to Graph Theory & its’ Applications
Logical Skills & Building Soft Skills	Open Elective – I
Data Structures Lab	Quantitative & Qualitative Aptitude Skill Building
Principles of Operating Systems Lab	Database Management System – Lab
Project-based Learning – I	Computer Networks – Lab
Summer Internship – I	Project-based Learning – 2
Semester V	Semester VI
Design & Analysis of the Algorithm	Compiler Design
Software Engineering & Testing Methodologies	Management for Engineers
Research Methodology	Digital Image Processing
Introduction to Cloud Computing	Cryptography & Network Security
Android Application Development	Software Project Management
Web Technologies	Software Testing
Open Elective – 2	Wireless Networks
Personality Development & Decision-making Skills	Risk Management
Design & Analysis of Algorithm – Lab	Advanced Operating Systems
Project-based Learning – 3	Open Elective – 3
Software Engineering & Testing Methodologies	Compiler Design Lab
Android Application Development Lab	Technical Skill Enhancement Course II
Web Technologies Lab	Project-based Learning 4
Summer Internship Lab	Artificial Intelligence
Technical Skill Enhancement Course I – Stimulation Lab	Mobile Computing
Community Connect	Quantum Computing
Semester VII	Semester VIII
Artificial Intelligence	Capstone Project II
Mobile Computing	-
Quantum Computing	-
Introduction to the Internet of Things	-
Parallel Computing Algorithms	-
3D Printing & Software Tools	-
Open Elective 4	-
Open Elective 5	-
Artificial Intelligence Lab	-
Summer Internship III	-
Capstone I

 

What do you mean by Data science?

Data can be useful to organizations, but only if it is used wisely. The study of data, including its origin, significance, and changes for perceptive analysis, is known as data science. Today's businesses rely significantly on data, and conventional business intelligence tools are unable to manage large amounts of data simultaneously. More advanced data science features can be used to handle large volumes of unstructured data. It is capable of processing data from a variety of sources, such as text files, financial logs, multimedia files, marketing forms, sensors, and instrument values.

 

B. Tech Data Science Syllabus

 

Semester 1	Semester 2
English Communication/Soft Skills /Engineering Graphics and Computer-Aided Design	Analytical Mathematics
Matrices and Calculus	Engineering Physics/ Engineering Materials
Engineering Physics/Engineering Materials	Professional English and Soft Skills /Engineering Graphics and Computer-Aided Design
Problem Solving Using C	Introduction to Digital Systems / Engineering and Design
Introduction to Design, Engineering and Digital Systems	Sustainable Engineering Systems
Engineering Immersion Lab	Data Structures
Engineering Physics Lab/ Materials Chemistry Lab	Python for Data Science
-	Engineering Immersion Lab
-	Engineering Physics Lab/ Materials Chemistry Lab
Semester 3	Semester 4
Applied Linear Algebra	Discrete Mathematics
Design and Analysis of Algorithms	Digital Marketing Analytics
Database Management Systems	Data Wrangling
Java Programming	Data Handling and Visualization
R for Data Science	Department Elective-II
Department Elective-I	Non-Department Elective–II
Non-Department Elective- I	Data Wrangling Lab
Database Management Systems Lab	Data Handling and Visualization lab
-	Design Project-I
-	Internship
Semester 5	Semester 6
Probability and Statistics	Software Project Management
Business Intelligence and Analytics	Machine Learning
Predictive Modeling and Analytics	Data Warehousing and Data Mining
Artificial Intelligence	Modern Software Engineering
Professional Ethics and Life Skills	Business Economics
Department Elective-III	Department Elective-IV
Non-Department Elective–III	Non-Department Elective–IV
Business Intelligence and Analytics Lab	Data Mining Tools Lab
Design Project with IoT	-
Semester 7	Semester 8
Text Analytics and Natural Language Processing	Project & Viva – voce
Big Data and Analytics	-
Time series analysis and Forecasting	-
Deep Learning	-
Department Elective–V	-
Non-Department Elective-V	-
Real-time Case Study Lab	-
Design Project-III	-

 

B. Tech Artificial Intelligence Syllabus with Data Science

The Data Science courses and the B. Tech Artificial Intelligence syllabus for engineering students are similar. They engage in a variety of interactions with one another, thus they have a lot in common. The majority of top private engineering colleges in Delhi provide B. Tech in artificial intelligence and data science, which share the following common syllabus. 

 

Semester I	Semester II
Multivariable Calculus and Linear Algebra	Probability and Statistics
Physics for Computer Science	Engineering Chemistry
Introduction to Data Science	Introduction to Python Programming
Programming for Problem-solving	Basics of Electrical and Electronics Engineering
Practical /Term Work / Practice Sessions/ MOOCs – Entrepreneurship, IoT and Applications, Computer-Aided Engineering Drawing	Basics of Civil and Mechanical Engineering
--	Practical /Term Work / Practice Sessions/ MOOCs – Biology for Engineers, Design Thinking
Semester III	Semester IV
Analog and Digital Electronics	Design and Analysis of Algorithms
Programming in Java	Unix Operating System
Data Structures	Database Management System
Discrete Mathematics and Graph Theory	Computer Organization and Architecture
Agile Software Development and DevOps	Numerical Techniques and Optimization Methods
Practical /Term Work / Practice Sessions/ MOOCs – Communication Skills, Indian Constitution and Professional Ethics, Universal Human Values	Practical /Term Work / Practice Sessions/ MOOCs – Management Science, Environmental Science, Basics of Kannada / Advanced Kannada
Semester V	Semester VI
Artificial Intelligence and Applications	Theory of Computation
Neural Networks and Deep Learning	Big Data Analytics
Machine Learning	IoT and Cloud
Professional Elective-I – Web and Text Mining, Pattern Recognition, Security in IoT, Advanced IoT Programming, Object Oriented Concepts with C++/Java, UI/UX Design, and Data Visualization	Professional Elective I – Cognitive Computing, Business Intelligence, Industrial and Medical IoT, Industrial and Medical IoT, Advanced Computer Architecture, Parallel Computing, and High-Performance Computing
Open Elective – I Database Management Systems	Open Elective II – Data Structures
Practical /Term Work / Practice Sessions/ MOOCs – Predictive Analytics and Data Visualization Tools, Indian Tradition and Culture	Practical /Term Work / Practice Sessions/ MOOCs – Research-Based Mini Project, Mobile Application Development, Technical Documentation
Semester VII	Semester VIII
Professional Elective V	Capstone Project Phase 2
Open Elective III	Internship/Global Certification
Capstone Project Phase 1	MOOC / Competitive Exam
Internship/Global Certification	Open Elective IV

 

Public B. Tech in Artificial Intelligence and Data Science colleges

·         Ambedkar Institute of Advanced Communication Technologies and Research (AIACTR), Delhi

·         Delhi Technological University DTU

·         Indira Gandhi Delhi Technical University for Women, Delhi

·         Indraprastha Institute of Information Technology, Delhi

·         The Netaji Subhas Institute of Technology, Delhi

·         Government Engineering College, Bharatpur

·         Gurugram University, Gurugram

 

In summary

An overview of well-known colleges for artificial intelligence in B. Tech was given in this article. It was also discussed how B. Tech in artificial intelligence and data science are related. It also compared the course curriculum for the two technologies and looked at the roles that AI plays in data science. I hope the details are clear to you.

  

Also Read:

Is Artificial Intelligence More Difficult than Data Science?

What is the scope of B. Tech CSE in AI and ML?