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Computer Science Engineering

B.Tech in Computer Science & Engineering – Artificial Intelligence

Eligibility

Pass in PUC / 10+2 examination with Physics and Mathematics as compulsory subjects along with Chemistry / Computer Science / Electronics as one of the subjects and obtained at least 60% marks (55% in case of SC/ST category) in the above subjects taken together.

Study Campus
JGI Global Campus
Faculty of Engineering & Technology
NH-209, Bangalore - Kanakapura Main Road
Jakkasandra Post, Kanakapura Taluk
Ramanagara District - 562 112
+91 80 2757 7198
+91 7337618222
Admissions Office
JGI Knowledge Campus
# 44/4, District Fund Road
Jayanagar 9th Block Campus
Bangalore - 5600 69
+91 7337618222
080-46650130
About the program

B.Tech in Computer Science & Engineering (Artificial Intelligence) is a specialized program that aims to provide students with comprehensive knowledge in the key domains of Artificial Intelligence (AI). This includes the study of AI principles and techniques, as well as foundational materials on topics such as probability and language. The AI concentration covers topics such as knowledge representation and logical reasoning, machine learning, probabilistic modeling and inference, natural language processing, cognition, and applications in domains such as text processing.

Why to take this course?

The B.Tech program in Computer Science and Technology with specialization in Artificial Intelligence (AI) has experienced exponential growth in the past few years, fueled by the explosion in internet usage, widespread use of smartphones, increasing reliance on online services, social media, e-banking, and growing workload on humans. Artificial Intelligence is an exciting specialization of computer science that focuses on methods to make computers or machines intelligent, enabling them to learn from experience, derive implicit knowledge, understand natural languages, and collaborate.

Program Specific Outcome

On completion of the Artificial Intelligence program, students will possess the following program specific outcomes:

  • PSO 1: Apply the knowledge of building the artificial agents, basic and advanced learning techniques, reasoning and inference mechanisms to the knowledge base, natural language processing tools, and software engineering principles to develop the real time Artificial Intelligence based projects.
  • PSO 2: Design and develop the efficient and optimized algorithms for intelligent agents, knowledge base systems and machine learning in the area of artificial intelligence and its sub domains like IoT (Internet of Things), image processing, natural language processing, data analytics and so on.

Duration of the program: 4 years

Curriculum
  • Engineering Physics
  • Fundamentals of Electrical and Electronics Engineering
  • Communicative English
  • Problem Solving Techniques
  • Calculus and Matrix Algebra
  • Applied Chemistry
  • Mind Management and Human Values – 1
  • PCL 1- Research and Entrepreneurship Project
  • Data Structures
  • Probability and Vector Space
  • Mind Management and Human Values – 2
  • Object Oriented Programming
  • Digital Logic Design
  • Workshop Practices
  • Biology for Engineers
  • Python Programming
  • PCL 1- Research and Entrepreneurship Project
  • Economics for Engineers
  • Operating Systems
  • Computer Organization and Architecture
  • Foundations of Mathematics – 1+
  • Discrete Mathematics and Graph Theory
  • Design and Analysis of Algorithms
  • Indian Constitution
  • Project Centric Learning
  • Inferential Statistics
  • Artificial Intelligence
  • Web Programming
  • Data Communication and Networks
  • Open Elective I
  • Database Management Systems
  • Foundations of Mathematics – 2+
  • Project 2
  • Internship -1
  • Machine Learning
  • Sensor Technologies
  • Department Specific Elective I
  • Research Methodology
  • Advanced Machine Learning
  • Open Elective II
  • Software Engineering
  • Project Centric Learning
  • Image Processing
  • Artificial Neural Networks and Deep Learning
  • Department Specific Elective II
  • Department Specific Elective III
  • Open Elective III
  • Environmental Studies
  • Project 3
  • Internship -2
  • Advanced Deep Learning
  • Computer Vision
  • Department Specific Elective IV
  • Recommender Systems
  • Department Specific Elective V
  • Open Elective IV
  • Project 4
  • Department Specific Elective VI
  • Industrial AI
  • Evolutionary Computing
  • Intellectual Property Rights
  • Internship -3
  • Research*
Department Specific Electives
DSE Tracks   Elective-I Elective-II Elective-III Elective-IV Elective-V Elective-VI
5th Semester 6th Semester 6th Semester 7th Semester 7th Semester 8th Semester
Track-I Cognitive Science Natural Language Processing and text mining Speech Processing Advanced Natural Language Processing Knowledge Representation and Reasoning Robotics Vision Augmented and Virtual Reality
Track-II Data Science Data mining Data Visualization using Tableau NoSQL Database using MongoDB Big Data Management   Spark for Data Science Real Time Data Processing
Track-III AI Research Fuzzy Logic and Application   Probabilistic Graphical Model Game Theory Reinforcement Learning   Deep Learning in Genomics AI Platforms
Computer Science and Engineering (Open Elective Baskets)
Sl. No Finance and Accounting Entrepreneurship and new venture creation Marketing and Management
1 Finance for non-finance professionals Entrepreneurship Theory and Practice Marketing Management
2 Wealth Management   Launching and managing an enterprise   Consumer Behavior
3 Indian Financial System Business Plan and Project Implementation Brand Management
4 Financial Reporting Sustainable Entrepreneurship Product Management
  • AI Research Scientist
  • Artificial Intelligence Engineer
  • Artificial Intelligence Specialist
  • Artificial Intelligence Analyst
  • Game Programmer
  • Computer Scientist
  • NLP (Natural Language Processing) analyst
  • NLP Engineer
  • Computer Vision Engineer.
  • Data Scientist Machine Learning Speciality V1 - From IBM
  • Certified Generative AI Expert- From Block Chain Council
Note:
  1. The university will cover the cost of global certification (only for two certifications) and it is limited to one attempt. If students fail to complete the first certification, the university will not cover the cost for the second certification attempt.
  2. In the event that the certification industry changes the name of the certification, the university reserves the right to modify the name of the certifications accordingly.
  3. The university retains the authority to adjust the certification name it offers in accordance with industry trends.

Students are provided with a structured learning path integrated with contributions from the following organizations. This approach facilitates a holistic comprehension of diverse facets within the field, empowering students to cultivate specialized skills and knowledge as they progress through their academic journey.

  • LinkedIn
  • Google
  • Microsoft