The Mechanical Engineering curriculum includes various hands-on skill courses such as Industrial Measurement & Instrumentation Computer-Aided Product Design, Mechanical Simulation, Object Oriented Programming, etc. It provides opportunities for students to acquire interdisciplinary skills and knowledge through various Choice-Based Curriculum System courses (CBCS). Mechanical students can complete the specialisation in Computer-Aided Engineering, Robotics & Automation, and Automobile Engineering. Many industry experts from various renowned industries deliver the skill courses to give practical flavor to learning. Students actively file the patent, start their ventures, and present technical papers at the international conference during their academics.
Our diversified portfolio of syllabus and training has empowered our students to explore various opportunities in a broad spectrum of industries. Many IT industries also have CAD/CAM divisions, which increases the job potential of mechanical engineers. Students are placed in many core industries such as JSW, JCB India Ltd, SANY, Michelin, Tetra Pak, Forbes Marshal, Thermax, Capgemini (Engineering Div), Faurecia, Linde etc.
With the growing needs of IT industries, students are also placed in various software industries such as L&T, KPIT, Infosys, ZS Associates, Neilsoft, Cognizant, Accenture, Deloitte etc.
Contact Number – 020-30253500 Ext. 1261
Email – hodmech@mitaoe.ac.in
- Universal Human Values (Induction Program)
- Calculus and Differential Equations
- Science of Nature
- Foundations of Computing
- Applied Mechanics
- Design Thinking
- Computer-Aided Engineering Drawing
- Liberal Learning
- Indian Knowledge System (Indian Metallurgy)
- Statistics and Integral Calculus
- Engineering Physics
- Electrical and Electronics Engineering
- Essentials of Data Science
- Fab Lab
- Manufacturing Processes
- Communication Skills (English/German/Japanese/French)
- Creative Technologies
- Two Credit Internship (After First Year)
- Applied Mathematics
- Strength of Materials
- Thermal Engineering
- Materials Engineering
- Problem Solving Using OOP (C++)
- Problem Solving Using OOP (Java)
- Generative Design
- Entrepreneurship Skills
- Universal Human Values-II
- Minor Project Design
- Engineering Informatics
- Manufacturing Technology
- Machines & Mechanisms
- Fluid Mechanics
- Data Structures
- Digital Twin
- Prototyping
- Environmental Science
- Minor Project Implementation
- Internship (Life and Soft Skills)
- Indian Constitution
- Two Credit Internship (After Second Year)
- Finite Element Analysis
- Robot Fundamentals & Kinematics
- Automobile System Design
- Machine Design
- Heat Transfer
- MDM Course-II
- Computer Aided Product Design
- Professional Certification Courses
- Major Project I
- Internship (Technical)
- Robot Dynamics & Control
- Vehicle Dynamics
- Computational Fluid Dynamics
- Turbomachinery
- Industrial Metrology & Quality Management
- MDM Course-III
- Mechanical Simulations
- Employability & Career Development
- Major Project II
- Refrigeration & Air Conditioning
- Advanced CFD
- AI in Robotics
- Autotronics & EV
- MDM Course-IV (Industrial Automation & Control System)
- Project Management
- Major Project III
- Research Methodology
- Summer Internship (Technical)
- Machine Dynamics
- Supply Chain Analytics
- Smart Manufacturing
- Optimization Tools & Techniques
- Social Innovation in Industry 4.0
- Industrial Robotics: Theories for Implementation
- Sustainable Energy Technology
- Rapid Manufacturing
- MDM Course-V
- Swayam Course – Automation in Manufacturing
- Professional Certification – Lean Six Sigma Green Belt
- Product Life Cycle Management
- Semester Long Internship / Exchange / Capstone Project
- Mechanical Industrial System Design
- MDM Course-IV (Industrial Automation & Control System)
- Major Project III
- Industry Practicum
- Summer Internship (Technical)
Students gain industrial exposure through various internship programs which are as follow:
Summer Internship Program (SIP): Students compulsorily need to undergo SIP after completing their semester VI.
Semester Long Internship Program (SLIP): Selected students undergo SLIP during their semester VIII.
During these internship programs, students are getting internships in renowned industries like industries like Schlumberger India Technology Centre Pvt. Ltd. Tridiagonal solutions Pvt. Ltd. Equinox Software and Services Pvt. Ltd. Anukoolan Solutions Pvt. Ltd. SteepGraph Systems Pvt. Ltd. Genrich Membranes Pvt. Ltd. Henkel Adhesives India Pvt. Ltd. Cognizant Technology Solutions, FluiDimensions Pune, BDB India Pvt. Ltd. etc.
Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to
Artificial intelligence evokes images of supercomputer assistants, machines that can think creatively, and, to some, scenes from their favorite sci-fi movie. The reality, despite not being as futuristic, is not far off from this. AI refers to the ability of a computer or machine to mimic the competencies of the human mind, which often learns from previous experiences to understand and respond to language, decisions, and problems. The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030.
AI comes in many forms
AI is broadly divided into machine learning and deep learning. These then have further subcategories such as natural language processing, computer vision, robotics, and more. Machine learning constitutes the most basic and simple AI form. Programs operating on machine learning are given a very clear set of parameters to use in interactions with humans and are limited in scope. It is also the most common form of AI, used in basic chat assistants, apps, voice commands, and other limited engagements.Deep learning is closer to what a person would imagine from AI. In deep learning programs, AI has initial parameters and datasets but can integrate user information as it interacts with humans. In this way, the AI learns as it is used, becoming more sophisticated in the process. Recent examples of advanced deep learning programs are OpenAI’s ChatGPT and Google’s Bard.
Generative AI has entered the field
A new trend in AI development surged into the limelight at the end of 2022 in the form of generative AI. Although not being strictly new, with such programs already appearing over the last five years, advancement in this field have been staggering. Generative AI refers to programs that can, as the name suggests, generate text, images, music, and more. Driven by the release of ChatGPT-3 in late 2022, the field has drawn in Google, Microsoft, Amazon, and recently, Elon Musk’s X as well. All are competing in the development of the most advanced generative AI through a variety of startup companies. The advancement in this case is not without its flaws as generative AI companies have been accused of training their AI models on copyrighted texts and images, snubbing writers and artists.
The AI train steams ahead
With the advancements in deep learning and machine learning, coupled with the immense effect such programs may have on the global economy, it is to be expected that AI will be in continuous competitive development in all advanced economies. Any company looking to leverage an advantage on its competitors would do well to engage early so as not to be left behind.
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