B. Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning)

Duration
4 Years Full-Time Program
Eligibility

Eligibility Norms for Admission to B. Tech Programs: 

Candidates seeking admission to B.Tech. Program should have passed the Pre-University / Higher Secondary /or any equivalent 10+2 examination from an approved State / Central govt. board or from an international board like University of Cambridge "A" level certificate or certificate from International Baccalaureate (IB), Geneva, etc., with a minimum of 45% marks in Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Electronics /Computer as an additional subject, and with 55% aggregate for SOCSE & 50% aggregate for SOE of total marks in the Qualifying Examination. Candidates should have appeared in any national / state level / Presidency University entrance examination viz. CET, Comed – K, JEE and such others.   

Eligibility Norms for Admission to B. Tech Programs (Lateral)  

A candidate who has passed any diploma examination or equivalent examination and obtained a minimum of 60% aggregate is eligible for admission to B. Tech Programs (Lateral Entry). Candidate should have appeared in any state level entrance examination. 

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B. Tech Computer Science and Engineering (Artificial Intelligence & Machine Learning)

Programme Overview

Artificial intelligence (AI) is a branch of computer science focused on making computers behave in human ways, such as rational thinking, perception, and action. Machine learning (ML) is a branch of artificial intelligence and one of the ways AI can be achieved. While AI initiatives make it possible for a machine to mimic human behavior based on what it has been taught, ML models help machines to teach themselves. This engineering program leads to a specialization in Artificial Intelligence and Machine Learning by combining important domains such as Mathematics, Computer Programming, Machine Learning, Statistics, and Software Design in order to mimic the complexity of human thought processes. Graduates of this program have opportunities to be employed by multinational IT companies and large Indian technology companies, as well as pursue higher studies. 

Course Curriculum

  • 01Calculus and Linear Algebra - MAT1001
  • 02Optoelectronics and Device Physics - PHY1002
  • 03Engineering Graphics - MEC1006
  • 04Technical English - ENG1002
  • 05Introduction to Soft Skills - PPS1001
  • 06Problem Solving Using C - CSE1004
  • 07Digital Design - ECE2007
  • 08Introduction to Design Thinking – DES1146
  • 01Applied Statistics - MAT1003
  • 02Environmental Science - CHE1018
  • 03Basic Engineering Sciences - CIV1008
  • 04Problem Solving Using JAVA - CSE1006
  • 05Advanced English / Foreign Language Courses - ENG2001 / FRLXXXX
  • 06Enhancing Personality Through Soft Skills - PPS1012
  • 07Basics of Electrical and Electronics Engineering - EEE1007
  • 08Indian Constitution and Professional Ethics for Engineers - LAW1007
  • 09Innovative Projects Using Arduino – ECE2010
  • 01Applied Statistics - MAT1003
  • 02Basics of Electrical and Electronics Engineering - EEE1007
  • 03Technical English - ENG1002
  • 04Introduction to Soft Skills - PPS1001
  • 05Problem Solving Using C - CSE1004
  • 06Basic Engineering Sciences - CIV1008
  • 07Environmental Science - CHE1018
  • 08Indian Constitution and Professional Ethics for Engineers - LAW1007
  • 01Calculus and Linear Algebra - MAT1001
  • 02Engineering Graphics - MEC1006
  • 03Problem Solving Using JAVA - CSE1006
  • 04Advanced English / Foreign Language Courses - ENG2001 / FRLXXXX
  • 05Enhancing Personality Through Soft Skills - PPS1012
  • 06Introduction to Design Thinking - DES1146
  • 07Optoelectronics and Device Physics - PHY1002
  • 08Digital Design - ECE2007
  • 09Innovative Projects Using Arduino - ECE2010
  • 01Mathematical Methods for CSE - MAT3005
  • 02Data Structures and Algorithms - CSE2001
  • 03Data Communications and Computer Networks - CSE3155
  • 04Computer Organization and Architecture - CSE2009
  • 05Discrete Mathematical Structures - MAT2004
  • 06Innovative Projects Using Raspberry Pi - ECE2011
  • 07Programming in Python - CSE1005
  • 08Introduction to Aptitude - PPS4002
  • 09Web Technologies - CSE2067
  • 01Numerical Methods for Engineers - MAT2003
  • 02Design and Analysis of Algorithms - CSE2007
  • 03Database Management Systems - CSE3156
  • 04Operating Systems - CSE3351
  • 05Artificial Intelligence and Machine Learning - CSE3157
  • 06Software Engineering - CSE2014
  • 07Theory of Computation - CSE2018
  • 08Open Elective - I
  • 09Aptitude Training Intermediate - PPS4004
  • 10Mastering Object-Oriented Concepts in Python - CSE3216
  • 01Natural Language Processing - CSE3188
  • 02Applied Machine Learning - CSE3087
  • 03Deep Learning - CSE3189
  • 04Professional Elective - I
  • 05Professional Elective - II
  • 06Professional Elective - III
  • 07Professional Elective - IV
  • 08Logical and Critical Thinking - PPS4006
  • 09Data Structure and Web Development with Python - CSE3217
  • 10Open Elective - II
  • 01Optimization Techniques for Machine Learning - CSE3009
  • 02Reinforcement Learning - CSE3011
  • 03Generative AI - CSE3191
  • 04Cloud Computing - CSE3343
  • 05Professional Elective - V
  • 06Professional Elective - VI
  • 07Professional Elective - VII
  • 08Open Elective – III (Management Basket)
  • 09Aptitude for Employability - PPS4005
  • 10Python Full-Stack Development - CSE3218
  • 01Professional Elective - VIII
  • 02Professional Elective - IX
  • 03Professional Elective - X
  • 04Preparedness for Interview - PPS3018
  • 05Capstone Project - PIP2004
  • 01Internship - PIP4008

Programme Educational Objectives

After four years of successful completion of the program, the graduates shall be:

PEO 01: Demonstrate as a Computer Engineering Professional.

PEO 02: Engage in lifelong learning through research and professional development.

PEO 03: Serve as a leader in the profession through consultancy, extension activities and/or entrepreneurship.

Programme Outcomes (POs)

On successful completion of the Program, the students shall be able to:

PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2: Problem analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO 4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO 5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

PO 6: The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to professional engineering practice.

PO 7: Environment and sustainability: Understand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.

PO 9: Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. 

PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with the society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions. 

PO 11: Project management and finance: Demonstrate knowledge understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO 12: Life-long learning: Recognize the need for and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change. 

Programme Specific Outcomes

On successful completion of the Program, the students shall be able to:

PSO 01: [Problem Analysis]: Identify, formulate, research literature, and analyze complex engineering problems related to AI & ML principles and practices, Programming and Computing technologies reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

PSO 02: [Design/development of Solutions]: Design solutions for complex engineering problems related to AI & ML principles and practices, Programming and Computing technologies and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, cultural, societal and environmental considerations.

PSO 03: [Modern Tool usage]: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities related to AI & ML principles and practices, Programming AI & ML Computing & analytics with an understanding of the limitations.

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Career Opportunities

  • AI/ML Engineers

    Develop intelligent systems and machine learning models.

  • Data Scientists

    Extract insights from complex datasets for decision-making.

  • Robotics Engineers

    Design and build advanced robotic systems.

  • NLP Specialists

    Enhance human-computer interaction through language processing.

  • Big Data Analysts

    Analyze vast datasets to uncover trends and solutions.

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