BTech
Computer Science and Engineering (AI & ML)

Pursue Bachelors of Technology in Computer Science and Engineering with Artificial Intelligence & Machine Learning

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OVERVIEW

PEOs

POs

PSOs

ELIGIBILITY

COURSE DETAILS

Course Name : Bachelor of Technology in Computer Science and Engineering
                           (Artificial Intelligence & Machine Learning)

Computer Science and Engineering (Artificial Learning and Machine Learning) is a 4 year, 8 semester Undergraduate program aimed at studying, designing, developing, implementing, support and management of computer-based information systems. Students under this course learn advanced learning solutions imparting knowledge of advanced innovations like machine learning, often called deep learning and artificial intelligence. 

This specialisation is designed to enable students to build intelligent machines, software, or applications with a cutting-edge combination of machine learning, analytics, and visualization technologies. This course discusses AI methods based on different fields, including neural networks, signal processing, control, and data mining, in order to present a unified treatment of machine learning problems and solutions. This course emphases on to develop the necessary skills for the students to sustain in today’s industrial expectation, in pursuit of excellence by keeping high personal and professional values and ethics.

Approved Intake

60

Course Duration

4yrs

Course Credits

156

Total Semester

8

Programe Educational Objectives

  1. Professional Acumen : Understand, analyze and design solutions with professional competency for the real world problems
  2. Critical Analysis : Develop software/embedded solutions for the requirements, based on critical analysis and research.
  3. Team work : Function effectively in a team and as an individual in a multidisciplinary/multicultural environment.
  4. Life Long Learning : Accomplish holistic development comprehending professional responsibilities

Programe Outcomes

  1. An ability to apply Engineering knowledge of computing, mathematics, science, and computer science & engineering fundamentals for Problem solving.
  2. An ability to think critically to identify, formulate, and solve complex computer science & engineering problems by developing models, evaluating validity and accuracy of solutions in terms of computer science and engineering validity measures.
  3. An ability to analyse, design of complex problems, implement, and evaluate a computer-based system, to meet expected needs with appropriate considerations such as economic / environmental/societal.
  4. An ability to conduct experiments to investigate problems based on changing requirements, analyze and interpret results.
  5. An ability to create, select, adapt appropriate techniques and use of the modern computational tools, techniques and skills, and best of engineering practices.
  6. To understand the impact of contextual knowledge on social aspects and cultural issues.
  7. An ability to understand contemporary issues related to social & environmental context for sustainable development of engineering solutions.
  8. An ability to understand professional & ethical responsibility to contribute for societal and national needs.
  9. An ability to function and coordinate effectively as an individual, as a member or leader in diverse, multicultural& multidisciplinary teams
  10. An ability to communicate effectively.
  11. An understanding of computer science and engineering & management principles to manage software projects.
  12. A recognition and realization of the need for, and an ability to engage in lifelong learning.

Programe Specific Outcomes

  1. Artificial Intelligence : To utilize artificial intelligence principles to solve real world problems
  2. Machine Learning To select suitable machine learning algorithms for the given problem
  3. Service Learning Analyze Social Relevant Problems and design solutions through Service Learning

Eligibility Details

Course Name : Bachelor of Technology in Computer Science and Engineering (AI & ML)

Basic eligibility for the programme is a pass at the +2 level (Karnataka PUC / ISC / CBSE / NIOS / State Boards) Examination from any recognised Board with a minimum aggregate of 50% marks in Physics, Chemistry, Mathematics. Candidates should have studied Mathematics, Physics and Chemistry at Class XII level and obtained a minimum of 50% marks in Mathematics.

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Candidates writing the +2 examinations in March-May may apply with their class X and XI marks.

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Students pursuing International curriculum must note that eligibility is according to AIU stipulations:
Applicants pursuing IB curriculum must have 3 HL and 3 SL with 24 credits.
Applicants pursuing GCE / Edexcel must have a minimum of 3 A levels, grades not less than C

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Lateral Entry:
Candidates who have successfully completed the 3 year diploma in Engineering are eligible to apply for lateral entry into engineering programmes.

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