B. Tech Artificial Intelligence and Data Science Syllabus
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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?
