Department of Civil Engineering ( NBA ACCREDITED )
For the design and construction of buildings to protecting people from natural hazards, civil engineering plays a critical role in improving the overall health and quality of life. Civil engineering is one of the most in-demand engineering fields in todays world. As a result, skilled civil engineers are in high demand across industries and Government sectors. The department offers a pool of highly skilled and experienced faculty members that encourage students to think, plan, design, construct, and maintain infrastructure innovatively. Moreover, the students could learn various inter-disciplinary computer skill courses like IoT, AI/ML, Data science, computer security, etc. They are exposed to learning software popular in Civil engineering Industries.
We support students to develop their technical and soft skills to ensure their overall development. Our state-of-the-art classrooms and well-equipped laboratories promote effective teaching and learning. We provide civil engineers who can take the head-on challenge to build a better world.
Contact Number – 020-30253500 Ext. 1261
Email – hodcivil@mitaoe.ac.in
To be a state-of-the-art Department of Civil Engineering dedicated to the holistic development of students by imparting knowledge for ever-changing industrial, ecological & social needs.
- Providing state-of-the-art infrastructure facilities combined with skill-based education and outcome-based pedagogical practices in order to build competent engineering professionals who can address real-world challenges in civil engineering.
- Nurturing students for professional growth by transforming civil engineering educational practices, focusing on research aptitude.
- Imbibing students for humanitarian efforts in order to elevate moral and ethical responsibilities for society.
- Enhancing entrepreneurial and managerial skills by developing industry-institute relations.
- Calculus and Differential Equations
- Engineering Physics
- Electrical and Electronics Engineering
- Foundations of Computing
- Computer-Aided Engineering Drawing
- Communication Skills (English/ German/Japanese/ French)
- Liberal Learning
- Indian Knowledge System (Ancient Indian Architecture and Town Planning)
- Statistics and Integral Calculus
- Science of Nature
- Applied Mechanics
- Design Thinking
- Surveying and Geomatics
- Basics of Civil Engineering
- Creative Technologies
- Mechanics of Solids
- Geotechnical Engineering
- Building Design and Construction
- Building Information Modeling-I
- Prototyping
- Entrepreneurship Skills
- Universal Human Values
- Minor Project Design
- Internship (Life And Soft Skills)
- Mechanics of Fluids
- Surveying and Geospatial Engineering
- Structural Analysis
- Applied Mathematics
- Data Analysis
- Environmental Science
- Project Implementation
- Indian Constitution
- Engineering Informatics
- Concrete Technology
- Water supply and Sanitation Engineering
- Construction Engineering & Management/ Hydrology and Irrigation Engineering/ Design of Steel Structures
- Smart Cities
- Analysis & Design of Building Systems/ Building Information Modeling-II
- Project – I
- Internship (Technical)
- Design of Reinforced Concrete Structures
- Transportation Engineering
- Contracts Management / Solid and Industrial Waste Management / Formwork Design
- Drone Surveying/ Hydraulic Modeling
- Sustainable Engineering
- Employability and Career Development
- Project – II
- Estimating and Costing
- Building Services/ Railway Engineering
- Financial Management/ Environmental Impact assessment and Climate Change
- Skill Development Course – 4(Computational Fluid Dynamics (CFD) / Quantum Geographic Information System(QGIS))
- Project Evaluation
- Summer Internship
- Design of Hydraulic Structures
- Engineering Economics
- Psychology
- Capstone Work
- SWAYAM NPTEL
OR
- Design of Hydraulic Structures
- Semester Long Internship Design
- Semester Long Internship Implementation
- SWAYAM NPTEL
- Structural Engineering
- Geotechnical Engineering
- Transportation Engineering
- Environmental Engineering
- Construction Management
- Water Resources Engineering
- Urban and Regional Planning
- Offshore and Marine Engineering
- Surveying and Mapping
- Academia and Research
HOD, Department of Civil Engineering
Contact: 9356679917
dean.scivil@mitaoe.ac.in
Vice Chancellor
Contact: 9970700701
vc@pune.nicmar.ac.in
Professor, Department of Civil Engineering
Contact: 8355825639
dasaka@civil.iitb.ac.in
Professor & Head, Faculty of Engineering
Contact: 9822440820
as_garudkar@rediffmail.com
Founder Director
Contact: 9823028233
mahesh.pathak@unitycpl.com
- Newsletter 1 - Data Analysis from School of Civil Engineering
- Newsletter 2 - Data Analysis from School of Civil Engineering
- Newsletter 3 - Data Analysis from School of Civil Engineering
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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 Zamil Steel INDIA LTD, Panchshil Realty, Durocrete ete, Prime City, CQRA PVT. LTD.,SCG Design Solutions, Mantra Properties.
Department of Civil Engineering: Batch 2024
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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