Department of Computer Engineering (Software Engineering)
The study and application of engineering to the creation, design, development, support, and retirement of software is known as software engineering.
Over the course of the lifecycle of an application, software engineering tackles a variety of subjects and completes a number of jobs. Software engineers need to be disciplined, informed about best practices in software engineering, and aware of how your company creates software and the functions it will carry out.
We are entering a brand-new era of software engineering as more CIOs and digital leaders recognise the value of this field and the potential effects it may have on your bottom line. It's vital that vendors, IT personnel, and even departments outside of IT be aware of how software engineering is affecting nearly every facet of your daily business operations. The fact that software developers create things that didn't previously exist is what makes them so valuable in this area of expertise.
This discipline is unique because of the fine line it strikes between creativity and science. They must be able to visualise the finished result before they can create it. Do you want to create software that meets user requirements? The answer to this query will greatly influence how your engineers operate. Those who invest in software engineering now will reap the rewards for many years to come, and there may be even more alternatives in the future. There are many excellent job openings right now in all kinds of sectors.
Email – hodsoftengg@mitaoe.ac.in
To empower learners as leading computer engineers through a distinguished learning experience that fosters holistic development and academic excellence with innovation for the advancements in techno-society.
- To equip students with the modern tools and resources to thrive in the competitive engineering field through advanced curriculum and state-of-art infrastructure.
- To cultivate lifelong learners with critical thinking, problem-solving, and adaptability skills to navigate the ever-changing technologies.
- To instill ethical and moral values through community service involvement for positive societal impact.
- To nurture entrepreneurial and managerial skills by strengthening industry-institute interaction.
- Calculus and Differential Equations
- Science of Nature
- Foundations of Computing
- Applied Mechanics
- Design Thinking
- Linux Fundamentals & Programming
- Liberal Learning
- Indian Knowledge System (Vedic Mathematics)
- Statistics and Integral Calculus
- Engineering Physics
- Electrical and Electronics Engineering
- Essentials of Data Science
- Data Visualization
- Discrete Structure
- Communication Skills (English/German/Japanese/ French)
- Creative Technologies
- Data Structures
- Programming Lab
- Computer Organization & Architecture
- Computer Graphics
- Problem Solving Using OOP (C++)
- Problem Solving Using OOP (Java)
- Entrepreneurship Skills
- Universal Human Values-II
- Prototyping
- Open Elective Course
- Project Design
- Internship (Life And Soft Skills)
- Advanced Data Structures
- Database Management System
- Theory of Computation
- Discipline Skill Develop. Course - Core Java
- Discipline Skill Develop. Course - Advance Java
- Engineering Informatics (MDM-I)
- Applied Mathematics
- Open Elective Course
- Environmental Science
- Project Implementation
- Indian Constitution
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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