B.Tech. CE – Artificial Intelligence and Machine Learning

Teacher
sweta kar
Category:
Artificial Intelligence, Machine Learning

The field of Artificial Intelligence and Machine Learning is devoted to the creation of software and hardware that enables computers to do ‘intelligent’ things as if humans did them after due thinking and reasoning. Many research discoveries in the field have now reached the point of industrial application, and companies have made and saved millions of dollars by utilizing them.

This first-of-its-kind B.Tech. CSE – Artificial Intelligence and Machine Learning offered by Apex University in collaboration with iNurture Education Solutions is specifically designed to prepare students with theoretical foundations and practical skills in Artificial Intelligence and succeed through disruptions and transformations in the industry.

  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Best-in-class faculty
  • Tech-enabled program delivery using tablets, PCs and learning management system
  • Emphasis on application-oriented learning
  • Reputed university with excellent campus and infrastructure
  • 100% placement support*

Program Details

  • Prepare leading professionals globally in government, academia, and corporate having entrepreneurial pursuits.
  • Prepare graduates capable of articulating and solving problems in Computer Science and Engineering, especially in Artificial Intelligence and Machine Learning.
  • Prepare graduates with high learnability and adaptability to the constantly changing technological environment.
  • Prepare graduates to lead and ethically initiate professional and organizational goals in an interdisciplinary team and obtain desired results.

Curriculum*

*Subject to change

Semester 1

  • Engineering Mathematics – I
  • Engineering Physics
  • Basic Electronics and Electrical Engineering
  • Workshop Practice Lab
  • English – I
  • Basic Mechanical Engineering

Semester 2

  • Engineering Mathematics – II
  • Engineering Chemistry
  • Programming with C for Problem Solving
  • English – II
  • Engineering Graphics and Design
  • Digital Electronics and Logic Design

Semester 3

  • Discrete Mathematics
  • Computer Fundamentals and Organization
  • Operating Systems
  • Data Structures and Algorithms
  • Object Oriented Programming using Java
  • Overview of Artificial Intelligence (CTP – I)
  • Complex Problem Solving / Critical Thinking

Semester 4

  • Database Management Systems
  • Web Technologies
  • Python Programming
  • Artificial Intelligence Methods, Techniques and Tools
  • Communication Skills / Analytical Reasoning
  • Open Elective – I

Semester 5

  • Software Engineering
  • Computer Networks
  • Supervised and Unsupervised Learning
  • Machine Learning
  • Teamwork Coordinating Collaborating with others / Leadership Readiness
  • Coding and Computational Thinking – I
  • Open Elective – II

Semester 6

  • Advanced Machine Learning
  • Natural Language Processing
  • Advanced Artifiical Intelligence Techniques
  • Multicultural Competence / Value Inculcationand Empathy
  • Coding and Computational Thinking – II
  • Employability Skills Programme – I
  • Open Elective – III

Semester 7

  • Speech Processing
  • Artificial Intelligence Platforms
  • Environmental Awareness and Action / Community Engagement in Service
  • Coding and Computational Thinking – III
  • Foreign Language
  • Project Based Internship
  • Employability Skills Programme – II
  • Open Elective – IV

Semester 8

  • Industrial Artificial Intelligence
  • Robotic Vision
  • Internship

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Enrolled: 2 students
Duration: 4 Years | Full-time Program