The B.Tech in Computer Science Engineering (AI & ML) + AME program offers a comprehensive curriculum designed to equip students with essential skills and knowledge in both information technology and aviation management. The key subjects include:
Programming Fundamentals
Data Structures and Algorithms
Database Management Systems
Software Engineering
Web Technologies
Computer Networks
Operating Systems
Artificial Intelligence
Machine Learning
Data Mining and Warehousing
Cloud Computing
Mobile Application Development
Internet of Things (IoT)
Cybersecurity
Human-Computer Interaction
Project Management
Digital Image Processing
Ethics in Technology
Innovation and Entrepreneurship
Capstone Project
Aircraft Maintenance Engineering Fundamentals
Aviation Regulations and Safety
Aircraft Structures
Aircraft Systems and Components
Power Plant and Propulsion Systems
Electrical Systems and Equipment
Instruments and Avionics
Aerodynamics and Flight Mechanics
Materials and Processes
Maintenance Practices and Procedures
Human Factors in Aviation
Environmental Control Systems
Fuel and Oil Systems
Aircraft Performance and Weight Balance
Inspection and Quality Control
Basic Aeronautical Engineering
Air Navigation and Communication Systems
Emergency Procedures and Safety Management
Practical Training and Workshops
Project Work and Case Studies
Module 1: Aircraft Rules and Regulations (Civil Aviation Requirements - CAR)
Module 2: Basic Aircraft Maintenance Practices
Module 3: Basic Aerodynamics
Module 4: Aircraft Materials and Hardware
Module 5: Electrical Fundamentals
Module 6: Digital Techniques in Aircraft Systems
Module 7: Aircraft Propulsion (Turbine and Piston Engines)
Module 8: Aircraft Structures and Systems
Module 9: Basic Avionics Systems
Module 10: Aircraft Electrical and Electronic Systems
Module 11: Human Factors in Aviation Maintenance
Module 12: Aircraft Maintenance Documentation
Module 13: Airframe and Engine Inspection Techniques
Module 14: Advanced Avionics and Electronics
Module 15: Aircraft Maintenance Safety Procedures
Module 16: Aircraft Powerplant Maintenance
Module 17: Aircraft Electrical Wiring and Systems
Module 18: Air Regulations and Licensing Requirements
Module 19: Practical Training on Aircraft Systems
Module 20: Internship and Industry Exposure
Module 21: Comprehensive DGCA Module Exams
Semester 1
Semester 2
Semester 3
Semester 4
Semester 5
Semester 6
Semester 7
Semester 8
Chatbot Development
Create an AI-powered chatbot for customer service or educational purposes using natural language processing (NLP) techniques.Image Recognition System
Develop a project that uses convolutional neural networks (CNNs) to classify and recognize images in various categories, such as animals or vehicles.
Sentiment Analysis Tool
Build a sentiment analysis application that analyzes social media posts or reviews to determine public opinion about a specific topic or product.
Predictive Analytics for Stock Prices
Use historical stock price data and machine learning algorithms to predict future stock prices and trends.
Recommendation System
Create a recommendation engine for movies, books, or products based on user preferences and behavior using collaborative filtering or content-based filtering.
Speech Recognition System
Implement a system that converts spoken language into text, utilizing deep learning techniques for accurate transcription.
Fraud Detection System
Develop an AI-based system to detect fraudulent transactions in banking or e-commerce using anomaly detection techniques.
Smart Home Automation
Build a smart home application that utilizes AI to automate household tasks based on user preferences and habits.
Autonomous Vehicle Simulation
Create a simulation environment for autonomous vehicles, using machine learning to navigate and make driving decisions.
Health Monitoring System
Develop an AI-based health monitoring application that tracks vital signs and predicts potential health issues based on historical data.
Optical Character Recognition (OCR)
Build a project that converts scanned documents or images of text into editable text using machine learning algorithms.
Personal Finance Management App
Create an application that utilizes AI to help users manage their finances, analyze spending patterns, and provide budget recommendations.
Disease Prediction System
Develop a machine learning model that predicts the likelihood of diseases based on patient data and medical history.
Emotion Detection from Text
Create a system that analyzes text data to detect emotions expressed by users, utilizing NLP techniques.
Virtual Assistant
Build a virtual assistant application that can perform tasks such as setting reminders, answering questions, and providing information using voice commands.
Aircraft Maintenance Manual Development
Create a comprehensive maintenance manual for a specific aircraft type, including maintenance schedules, procedures, and troubleshooting guides.
Safety Management System (SMS) Implementation
Develop a project focusing on implementing a Safety Management System in an aviation organization, outlining processes for risk assessment and safety reporting.
Aircraft Performance Analysis
Conduct an analysis of an aircraft's performance metrics, including takeoff and landing distances, fuel efficiency, and weight calculations.
Component Overhaul Procedure
Design a detailed procedure for the overhaul of a specific aircraft component (e.g., landing gear, engine) based on regulatory standards.
Avionics Systems Integration
Develop a project that focuses on the integration of avionics systems, including navigation, communication, and flight control systems, into an aircraft.
Maintenance Tracking System
Create a digital system for tracking maintenance schedules, repairs, and inspections for aircraft, ensuring compliance with regulatory requirements.
Inspection Checklist Development
Develop a standardized checklist for pre-flight, post-flight, and periodic inspections of aircraft systems and components.
Aircraft Ground Support Equipment (GSE) Analysis
Conduct a study on the various types of ground support equipment used in aircraft maintenance and their impact on operational efficiency.
Environmental Impact Assessment
Analyze the environmental impact of aircraft maintenance activities and propose measures for sustainable practices within maintenance facilities.
Human Factors in Aviation Maintenance
Research and present findings on the role of human factors in aviation maintenance, including training, communication, and error management.
Composite Material Repair Techniques
Develop a project that explores the techniques and methodologies for repairing composite materials used in modern aircraft structures.
Airworthiness Directive (AD) Compliance
Create a compliance plan for addressing airworthiness directives issued by aviation authorities, outlining procedures and timelines for implementation.
Emergency Response Planning
Design an emergency response plan for aircraft incidents, detailing procedures for evacuations, fire suppression, and medical assistance.
Fuel System Inspection and Testing
Conduct an analysis of fuel system components and develop inspection procedures for ensuring fuel system integrity and performance.
Innovations in Aircraft Maintenance Technology
Research and present emerging technologies in aircraft maintenance, such as drones for inspections, predictive maintenance software, and augmented reality training tools.
Internships in the B.Tech in Computer Science Engineering (AI & ML) combined with Aircraft Maintenance Engineering (AME) programs are crucial for bridging the gap between theoretical knowledge and practical application. These internships provide students with opportunities to work on cutting-edge technology projects while gaining exposure to the aviation industry. Students can apply their skills in areas such as software development for aviation systems, data analysis for flight operations, and machine learning for predictive maintenance.
Practical Exposure: Gain hands-on experience in implementing AI algorithms, machine learning models, and maintenance procedures in real-world aviation contexts.
Skill Enhancement: Develop critical skills in programming, data analysis, and aircraft systems management while enhancing your technical and analytical capabilities.
Industry Mentorship: Work alongside experienced professionals in both IT and aviation, gaining insights into best practices and industry standards.
Problem Solving: Address real challenges in aviation maintenance and IT, improving your ability to analyze data and make informed decisions.
Networking Opportunities: Establish professional connections within both the IT and aviation sectors, which can lead to future job placements.
Career Clarity: Explore diverse roles in IT and aviation to better understand your career path and make informed decisions regarding future opportunities.
Market Readiness: Prepare for careers in both technology and aviation through hands-on experience that highlights your unique skill set in these rapidly evolving industries.
You will develop critical skills in programming, analytical thinking, and problem-solving, essential for success in the tech industry.
The curriculum focuses on both theoretical knowledge and practical experience, giving you exposure to real-world AI applications.
Yes, the course includes training on tools commonly used in the industry, such as TensorFlow and AWS.
Yes, group projects encourage collaboration and help you learn how to work effectively in teams.
Through continuous practice and assignments in various programming languages, you will significantly improve your coding abilities.
Yes, students are encouraged to engage in research projects, particularly in emerging fields like AI and machine learning.
You will have a mix of theoretical assignments, coding exercises, and hands-on projects that apply what you've learned.
The syllabus is regularly updated to reflect the latest advancements and trends in technology and AI.
Yes, the program includes discussions on ethics, data privacy, and the societal impacts of AI technologies.
Data analytics is a crucial part of the curriculum, helping you learn to interpret and derive insights from data.
Yes, internships are often integrated into the program to provide you with hands-on experience in the industry.
Yes, a capstone project is typically part of the final year, allowing you to showcase your skills on a significant project.
Graduates can work in tech companies, finance, healthcare, and many other sectors that require AI expertise.
Yes, many institutions provide career services and job placement assistance to help students transition into the workforce.
You can explore areas such as machine learning algorithms, natural language processing, and robotics.
Yes, the course covers various software development methodologies to prepare you for real-world projects.
Yes, many programs include guest lectures from industry professionals, providing insights into current trends and challenges.
The course encourages self-directed learning and offers access to various educational resources. Staying engaged with online platforms, attending workshops, and participating in tech communities can help you keep up with advancements.
A strong interest in technology, problem-solving abilities, and a willingness to learn new programming languages are crucial for success. Additionally, good communication skills and the ability to work collaboratively will enhance your experience and outcomes in the program.