B Tech CSE with AI and ML Subjects

The four-year undergraduate B Tech in AI and machine learning is offered in the engineering stream. In this course, students learn how to write the machine's code. This code functions as a set of instructions for machines, allowing them to complete jobs with less assistance from humans.

 

Students learn the languages that can be used to instruct machines as part of the program since they must be able to speak the exact language that the computers understand to interact with them. This course includes classes in computer languages such as Python, Java, and Lisp.

Course Structure of the B Tech in AI and Machine Learning

 

Level of Program	Undergraduate
Program Duration	4 Years
Eligibility Criteria	Candidates who pass the 10+2 exam from an accredited board and who are in the Science stream (with math and physics as required subjects) are eligible.
Admission Process	Includes Merit-based and Entrance Exams
Average B Tech in AI and Machine Learning Fee	INR 2 to INR 20 lakhs in Total
Average B Tech in AI and Machine Learning Salary	6 LPA to 18 LPA
Job Profiles	Data Scientist, Data Engineer, Data Analyst, Business Development Intelligence, Computer Vision Engineer, etc.
B Tech Colleges in Greater Noida	KCC Institute of Technology and Management, Shiv Nadar University, Gautam Buddha University, Bennett University, etc.

 

B Tech in AI and Machine Learning Curriculum

Semester 1	Semester 2
Physics	Basic Electronics Engineering
Physics Lab	Basic Electronics Engineering Lab
Mathematics I	Mathematics II
Playing with Big Data	Data Structures with C
Programing in C Language	Data Structures-Lab
Programing in C Language Lab	Discrete Mathematical Structures
Open Source and Open Standards	Introduction to IT and Cloud Infrastructure Landscape
Communication WKSP 1.1	Communication WKSP 1.2
Communication WKSP 1.1 Lab	Communication WKSP 1.2 Lab
Seminal Events in Global History	Environmental Studies
-	Appreciating Art Fundamentals
Semester 3	Semester 4
Computer System Architecture	Introduction to Java and OOPS
Design and Analysis of Algorithms	Operating Systems
Design and Analysis of Algorithms Lab	Data Communication and Computer Networks
Web Technologies	Data Communication and Computer Networks Lab
Web Technologies Lab	Introduction to Java and OOPS
Functional Programming in Python	Applied Statistical Analysis (for AI and ML)
Introduction to Internet of Things	Current Topics in AI and ML
Communication WKSP 2.0	Database Management Systems & Data Modelling
Communication WKSP 2.0 Lab	Database Management Systems & Data Modelling Lab
Securing Digital Assets	Impact of Media on Society
Introduction to Applied Psychology	-
Semester 5	Semester 6
Formal Languages & Automata Theory	Reasoning, Problem Solving and Robotics
Mobile Application Development	Introduction to Machine Learning
Mobile Application Development Lab	Natural Language Processing
Algorithms for Intelligent Systems	Minor Subject 2 – General Management
Current Topics in AI and ML	Minor Subject 3 - Finance for Modern Professional
Software Engineering & Product Management	Design Thinking
Aspects of Modern English Literature or Introduction to Linguistics	Communication WKSP 3.0
Minor Project I	Minor Project II
Semester 7	Semester 8
Program elective	Robotics and Intelligent Systems
Web Technologies	Major Projects 2
Major Project- 1	Program Elective-5
Comprehensive Examination	Program Elective-6
Professional Ethics and Values	Open Elective - 4
Industrial Internship	Universal Human Value & Ethics
Open Elective - 3	-
CTS-5 Campus to corporate	-
Introduction to Deep Learning	-

 

B Tech CSE with AI and ML Subjects:

 

• Programming with C – One of the top subjects in Artificial Intelligence in BTech is C programming. This course will teach students how to write C programs by utilizing fundamental programming constructs and teaching them how to handle files and input/output in C. This covers subjects like pointers, arrays and structures, general problem-solving ideas, and the different kinds of operators and expressions in the C language.
• Data Structures: Data structure is a part of B Tech in AI and Machine Learning. This covers the applications of different linear and nonlinear data structures using the principles of List ADT. This will teach students about hashing, sorting, and searching techniques.
• Python Functional Programming: Upon mastering this skill, students will be able to read and write data to and from files, execute Python programs in both script and interactive modes, and implement Python programs with conditionals and loops.
• Advanced Engineering Mathematics: This covers topics such as Formulation of Design Problems as Mathematical Programming Problems, Random Variables, Linear Programming, and Classical Optimization using Differential Calculus.
• Technical Communication: This course covers technical writing, grammar and editing, comprehension of technical texts and materials, information design and development, advanced technical writing, and an introduction to technical communication.
• Managerial Economics and Financial Accounting: Basic economic principles, production and cost analysis, market structure and pricing theory, financial statement analysis, etc. are some of the topics covered in managerial economics and financial accounting.
• Artificial Intelligence in BTech Concepts: Students will learn in-depth information on topics such as semantic networks, game-playing strategies, introduction to genetic algorithms, and the meaning and concept of artificial intelligence.

 

Artificial Intelligence in B Tech Courses Structure

Graduates of the Artificial Intelligence in BTech will be well-versed in the fundamentals of computational mathematics, important computer science topics, and the most recent advancements in these fields. This will help students as they create solutions and applications for the world we live in. The following is the curriculum for the B Tech CSE with AI and ML:

• 8 semesters
• Project work
• Internship
• Experiments
• Core Subjects
• Elective Subjects

 

Teaching Methodologies and Techniques used by B Tech Colleges in Greater Noida for B Tech CSE with AI and ML

Students learn Mathematics and Physics in a modular approach over the first several semesters of their B Tech in AI and Machine Learning curriculum. The curriculum then focuses on subjects that are essential to artificial intelligence in BTech. This will help advance research abilities and innovative project development in the domains of AI, ML, DL, networking, security, web development, and data science for the benefit of society. The curriculum followed by most B Tech colleges in Greater Noida include the following:

• Case Studies
• Experiments
• Real-time Projects
• Internships
• Practical Sessions

 

B Tech CSE with AI and ML Books

Books	Author
Discrete Mathematics and its Applications with Combinatorics and Graph Theory	Kenneth H Rosen, 7th Edition, TMH.
Discrete Mathematics	Richard Johnsonbaugh, 7ThEdn., Pearson Education.
Fundamentals of Data Structures in C	E. Horowitz, S. Sahni and Susan Anderson Freed, Universities Press
Computer System Architecture	M. Moris Mano, Third Edition, Pearson/PHI.
Core Python Programming	Wesley J. Chun, Second Edition, Pearson.
Software Engineering, A practitioner’s Approach	Roger S. Pressman, 6th edition, Mc Graw Hill International Edition
Advanced programming in the UNIX environment,	W.R. Stevens, Pearson education.
Database System Concepts	Silberschatz, Korth, Mc Graw hill, V edition.
Advanced programming in the Unix environment,	W. R. Stevens, Pearson education.