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B.Tech. Computer Science & Artificial Intelligence
Key Facts & Figures
Type
Bachelors
Degree
B.Tech. Computer Science & Artificial Intelligence
Eligibility
Semester Fee
67,500 INR
Mode of study
Full-time
Medium of Instruction
English
Credit Points
160
Location
DAV University Campus
Start date
July-August

Examination fee: RS. 3000/- for each semester and is applicable to all courses).

Refundable Caution Money: Rs 5000/- in 1st Semester and is applicable to all courses.

One-time Alumni Registration Charges Rs. 2000/- ( Non - Refundable to be charged from every student in 1st year only

All Rights reserved by DAV University (Hike in fee up to 15 % every year is possible).

Embark on a journey into the cutting-edge realm of B.Tech. in Artificial Intelligence, where the convergence of computer science and innovative technologies revolutionizes how machines perceive, learn, and act intelligently.

Bachelor of Technology in Computer Science & Artificial Intelligence

Experience the forefront of technological innovation with our B.Tech. programme in Computer Science & Artificial Intelligence. Prepare to shape the future as you delve into the realms of intelligent systems and data-driven decision-making. Explore limitless possibilities and embark on a transformative journey with us.

Eligibility

Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry /Biotechnology/Biology/Technical Vocational subject. An applicant should have secured at least 45% marks (40% marks in case of candidate belonging to SC/ST) in the above subjects taken together.

Why Computer Science & Engineering?

B. Tech Artificial intelligence is an exciting field that enables machines to perform tasks that traditionally require human intelligence. From visual perception to decision-making, this specialized division of computer science is focused on creating and implementing smart computer devices.

Artificial intelligence engineers analyze relevant algorithms and tools to create efficient models for data-driven decision-making and develop solutions for commercial use, applying the appropriate AI or cognitive computing technologies to solve complex problems.

Data scientists specialize in extracting insights from large volumes of data and translating them into actionable insights.

Data analysts recognize meaningful patterns and facts to draw conclusions that help businesses make important decisions. These professionals work together to improve data collection techniques and develop analytic systems that enhance business operations and decision-making.

During Your Study

Unleashing Human-Like Intelligence: B.Tech. in Artificial Intelligence delves into the fascinating domain where machines simulate human intelligence, performing tasks ranging from visual perception to complex decision-making. This specialized field pushes the boundaries of computer science, paving the way for transformative advancements.

Creating Smart Solutions: Artificial intelligence engineers are at the forefront of innovation, analyzing algorithms and leveraging sophisticated tools to craft efficient models tailored for data-driven decision-making. They pioneer the development of intelligent systems, applying AI and cognitive computing technologies to solve intricate problems across various domains.

Insightful Data Analysis: Within this program, data scientists play a pivotal role in extracting invaluable insights from vast datasets, translating raw information into actionable intelligence. Through advanced analytics techniques, they uncover hidden patterns and trends, empowering businesses to make informed decisions and gain a competitive edge in the market.

Enhancing Business Operations: Data analysts collaborate with data scientists to decipher meaningful insights, driving strategic decision-making processes within organizations. By refining data collection methods and developing robust analytic systems, they optimize business operations and contribute to sustainable growth and innovation.

Courses
Semester I
  • Engineering Mathematics-I
  • Engineering Physics
  • Basic Electrical Engineering
  • Practical Fundamental of Electrical Engineering
  • Engineering Graphics and Design
  • Design Thinking and Idea Lab
  • Human Values and Ethics
  • Cambridge English-I
Semester II
  • Engineering Mathematics-II
  • Chemistry
  • Manufacturing Practice
  • Programming for Problem Solving
  • Programming for Problem Solving Laboratory
  • Environmental Studies
  • Cambridge English-II
Semester-III
  • Object Oriented Programming
  • Introduction to Artificial Intelligence
  • Data Structures
  • Digital Electronics
  • Discrete Mathematics
  • Community Engagement Course
Semester-IV
  • Data Communication and Networking
  • Operating System Concepts
  • Database Management System
  • Programming Essentials in Python
  • Data Analysis Using MS-Excel and SPSS
Semester-V
  • Cryptography and Network Security
  • Data Mining & Warehousing
  • Software Engineering
  • Algorithm Design & Analysis
  • Computer Graphics
  • Industrial Training
Semester-VI
  • Theory of Computation
  • Big Data Analytics
  • Digital Image Processing
  • Basics of Robotics
  • Machine Learning
  • Program Elective-I
Semester-VII
  • Natural Language Processing with Deep Learning
  • Internet of Things (IoT) and Sensor Technologies
  • Computer Vision & Data Visualization
  • Open Elective-I
  • Industrial Training Report & Viva-Voce
  • Major Project
Semester-VIII
  • Information Security
  • Mobile Computing & Communication
  • Optimization Techniques
  • Program Elective-II
  • Open Elective-II
  • Professional Communication
PROGRAM ELECTIVE-I
  • Software Project Management
  • New Age Technologies
  • Cognitive Computing
  • Agent Based Intelligent System
  • MOOC Courses
PROGRAM ELECTIVE-II
  • Software Project Management
  • New Age Technologies
  • Cognitive Computing
  • Agent Based Intelligent System
  • MOOC Courses

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