In the present-day digital era, B. Tech artificial intelligence and data science, data engineering, data mining, and Machine Learning, are popular programs in the tech education sector. These innovations have altered how people perceive the world. Both of these technologies utilize the data in their daily operations, but they do it in different ways. B. Tech Artificial intelligence and data science are two fields of engineering that interact frequently and offered jointly by top private engineering colleges in Delhi. Therefore, B. Tech artificial intelligence syllabus also includes fragments of data science engineering to deliver a comprehensive understanding of both.
Difference between AI and DS
There are numerous ways in which both technologies are linked. The goal of data engineering is to collect and prepare data for use by artificial intelligence in data science applications. Data science analyzes this information to make judgments by using it predictably. Artificial intelligence is the process of using technologies and data to build intelligent systems. Data is used by both data science and artificial intelligence to provide analysis-related findings.
You'll get an overview of B. Tech artificial intelligence and data science in this post. Additionally, it will detail the B. Tech Artificial Intelligence syllabus along with data science. The article also highlights Artificial Intelligence and Data Science differences using 3 different criteria. Continue reading to find out more about the top 10 private engineering colleges in Delhi NCR that offer B. Tech artificial intelligence and data science.
What is Artificial Intelligence?
The ability of digital computers to carry out tasks that are traditionally done by people is known as artificial intelligence (AI). Making machines capable of problem-solving, judgment, and reasoning to mimic the human mind is the aim of artificial intelligence or AI.
B. Tech Artificial Intelligence syllabus includes subjects like programming, artificial intelligence, calculus, abstract algebra, principles of electrical and electronic engineering, data structure, computer networks, networking, computation, database, operating systems, algorithms, web technologies, quantum computing, compiler, cryptography, cloud computing, management, and research.
What Artificial Intelligence is Used For?
Artificial intelligence's major goal is to supplement human talents and foresee the unlikely outcomes that the human brain is unable to process. Artificial intelligence may lessen the hardships of human labor and create a means for humans to prosper positively. Similar objectives are served by artificial intelligence in data science.
B. Tech artificial Intelligence Syllabus
B. Tech Artificial intelligence syllabus outline is listed in the table below. The same curriculum is followed by the majority of top private engineering colleges in Delhi NCR. However, different colleges may offer different electives depending on the curriculum. In case you want full information on electives in the B. Tech artificial intelligence syllabus offered by the top 10 private engineering colleges in Delhi NCR, please contact your desired college for more details.
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Semester I
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Semester II
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Programming for Problem-solving
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Application-based Programming in Python
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Calculus & Abstract Algebra
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Probability & Statistics
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Engineering Physics – I
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Principles of Electrical & Electronics Engineering
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Environmental Studies
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Human Value & Ethics
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Communicative English – I
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Communicative English – 2
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Programming for Problem-solving – Lab
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Design & Creativity Lab
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Introduction to Computer Science & Engineering
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Application-based Programming in Python
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Computer-aided Design & Drafting
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Mechanical Workshop
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Physics Lab
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Principles of Electrical & Electronics Engineering
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Semester III
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Semester IV
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Data Structures
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Introduction to Biology for Engineers
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Discrete Structures
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Database Management Systems
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Computer Organization & Architecture
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Theory of Computation
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Object-oriented Programming using Java
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Computer Networks
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Principles of Operating System
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Mathematical Techniques
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Introduction of Entrepreneurship
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Introduction to Graph Theory and Its’ Applications
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Logical Skills & Building Soft Skills
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Open Elective – I
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Data Structures Lab
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Quantitative & Qualitative Aptitude Skill Building
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Principles of Operating Systems Lab
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Database Management System – Lab
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Project-based Learning – I
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Computer Networks – Lab
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Summer Internship – I
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Project-based Learning – 2
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Semester V
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Semester VI
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Design & Analysis of the Algorithm
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Compiler Design
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Software Engineering & Testing Methodologies
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Management for Engineers
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Research Methodology
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Digital Image Processing
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Introduction to Cloud Computing
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Cryptography & Network Security
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Android Application Development
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Software Project Management
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Web Technologies
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Software Testing
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Open Elective – 2
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Wireless Networks
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Personality Development & Decision-making Skills
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Risk Management
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Design & Analysis of Algorithm – Lab
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Advanced Operating Systems
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Project-based Learning – 3
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Open Elective – 3
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Software Engineering & Testing Methodologies
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Compiler Design Lab
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Android Application Development Lab
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Technical Skill Enhancement Course II
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Web Technologies Lab
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Project-based Learning 4
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Summer Internship Lab
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Artificial Intelligence
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Technical Skill Enhancement – Lab Stimulation
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Mobile Computing
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Community Connect
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Quantum Computing
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Semester VII
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Semester VIII
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Artificial Intelligence
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Capstone Project II
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Mobile Computing
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-
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Quantum Computing
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-
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Introduction to the Internet of Things
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-
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Parallel Computing Algorithms
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-
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3D Printing & Software Tools
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-
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Open Elective 4
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-
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Open Elective 5
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-
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Artificial Intelligence Lab
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-
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Summer Internship III
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-
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Capstone I
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What is Data Science?
Organizations can benefit from data, but only if it is used effectively. Data Science is the study of data, including its creation, importance, and transformations for insightful analysis. Businesses increasingly rely extensively on data, yet conventional business intelligence tools find it difficult to process large volumes of data all at once. Large amounts of unstructured data can be processed using more sophisticated characteristics in data science. Data from sources including financial logs, multimedia files, marketing forms, sensors, instrument values, and text files can all be processed by it.
B. Tech Data Science Syllabus
By providing them with solid conceptual knowledge, B Tech Data Science enables students to succeed in computer science and engineering coursework, research, and project management.
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Semester 1
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Semester 2
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English Communication/Soft Skills /Engineering Graphics and Computer-Aided Design
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Analytical Mathematics
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Matrices and Calculus
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Engineering Physics/ Engineering Materials
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Engineering Physics/Engineering Materials
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Professional English and Soft Skills /Engineering Graphics and Computer-Aided Design
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Problem-Solving Using C
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Introduction to Digital Systems / Engineering and Design
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Introduction to Design, Engineering, and Digital Systems
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Sustainable Engineering Systems
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Engineering Immersion Lab
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Data Structures
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Engineering Physics Lab/ Materials Chemistry Lab
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Python for Data Science
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-
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Engineering Immersion Lab
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-
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Engineering Physics Lab/ Materials Chemistry Lab
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Semester 3
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Semester 4
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Applied Linear Algebra
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Discrete Mathematics
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Design and Analysis of Algorithms
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Digital Marketing Analytics
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Database Management Systems
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Data Wrangling
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Java Programming
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Data Handling and Visualization
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R for Data Science
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Department Elective-II
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Department Elective-I
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Non-Department Elective–II
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Non-Department Elective- I
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Data Wrangling Lab
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Database Management Systems Lab
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Data Handling and Visualization lab
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-
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Design Project-I
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-
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Internship
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Semester 5
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Semester 6
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Probability and Statistics
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Software Project Management
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Business Intelligence and Analytics
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Machine Learning
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Predictive Modeling and Analytics
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Data Warehousing and Data Mining
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Artificial Intelligence
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Modern Software Engineering
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Professional Ethics and Life Skills
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Business Economics
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Department Elective-III
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Department Elective-IV
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Non-Department Elective–III
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Non-Department Elective–IV
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Business Intelligence and Analytics Lab
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Data Mining Tools Lab
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Design Project with IoT
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-
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Semester 7
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Semester 8
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Text Analytics and Natural Language Processing
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Project & Viva – voce
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Big Data and Analytics
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-
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Time series analysis and Forecasting
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-
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Deep Learning
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-
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Department Elective–V
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-
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Non-Department Elective-V
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-
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Real-time Case Study Lab
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-
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Design Project-III
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-
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B. Tech Artificial Intelligence and Data Science Combined Syllabus
The B. Tech artificial intelligence syllabus and Data Science subjects are not entirely different. There are many commonalities between them as they both interact with each other in many different ways. Most private engineering colleges in Delhi NCR offer combined B. Tech artificial and data science programs with a common curriculum that is listed below.
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Semester I
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Semester II
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Multivariable Calculus and Linear Algebra
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Probability and Statistics
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Physics for Computer Science
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Engineering Chemistry
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Introduction to Data Science
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Introduction to Python Programming
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Programming for Problem-solving
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Basics of Electrical and Electronics Engineering
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Practical /Term Work / Practice Sessions/ MOOCs – Entrepreneurship, IoT and Applications, Computer-Aided Engineering Drawing
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Basics of Civil and Mechanical Engineering
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--
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Practical /Term Work / Practice Sessions/ MOOCs – Biology for Engineers, Design Thinking
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Semester III
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Semester IV
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Analog and Digital Electronics
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Design and Analysis of Algorithms
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Programming in Java
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Unix Operating System
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Data Structures
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Database Management System
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Discrete Mathematics and Graph Theory
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Computer Organization and Architecture
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Agile Software Development and DevOps
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Numerical Techniques and Optimization Methods
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Semester V
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Semester VI
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Artificial Intelligence and Applications
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Theory of Computation
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Neural Networks and Deep Learning
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Big Data Analytics
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Machine Learning
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IoT and Cloud
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Professional Elective-I – Pattern Recognition, Security in IoT, Web and Text Mining,Object Oriented Concepts with C++/Java, Advanced IoT Programming, Data Visualization and UI/UX Design
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Professional Elective I – Industrial and Medical IoT, Cognitive Computing, Business Intelligence, Advanced Computer Architecture, Industrial and Medical IoT, High-Performance Computing and Parallel Computing
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Open Elective – I Database Management Systems
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Open Elective II – Data Structures
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Semester VII
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Semester VIII
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Professional Elective V
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Capstone Project Phase 2
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Open Elective III
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Internship/Global Certification
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Capstone Project Phase 1
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MOOC / Competitive Exam
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Internship/Global Certification
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Open Elective IV
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Conclusion
This article provided a summary of well-known engineering programs including B. Tech artificial intelligence and data science. The connection between data science and artificial intelligence was also covered. Additionally, it gave a comparison of the syllabus of two technologies and explored the functions of artificial intelligence in data science. Hope the information is satisfactory to you.