About Department
The Department of Artificial Intelligence & Machine Learning represents a significant advancement that is rapidly changing a wide range of businesses. Businesses and other organizations going through a digital transformation are confronted with an expanding deluge of data that is both immensely valuable and getting more and harder to gather, manage, and analyze. To handle the enormous amount of data being gathered, mine it for insights, and act upon those insights once they are found, new tools and processes are required. The goal of the AI and ML area is to solve problems that corporations, governments, and regular people face. These solutions are now indispensable. Both educators and students acquire new skills, apply them, and develop applications that meet pressing needs.
Vision & Mission of the Department
Vision
To produce globally competent graduates in the field of Artificial Intelligence with zeal for updating according to the latest in the domain.
Mission
1. To create graduates who are highly skilled and driven by a demanding theory and application curriculum that fosters performance and solution strategy.
2. To equip the students with fundamental of AI, ML and their off spins and make them ready to adapt to new technologies and scenarios.
HOD's Desk
Welcome to the Department of Artificial Intelligence & Machine Learning. The department offers a 4 year Bachelors of Technology program in Artificial Intelligence & Machine Learning. Data engineers, automation and optimisation engineers, scientists in natural language processing, game developers, robotics professionals, research scientists, machine learning developers, AI consultants, and machine learning architects are just a few of the positions that artificial intelligence and machine learning have created for expert professionals in large organisations. We aim to offer the best curricular and co-curricular services possible through ongoing brainstorming exercises like coding competitions, seminars, workshops, and extended programmes, enabling our students to use their knowledge and benefit the business. The more general idea of machines being able to perform tasks in a manner that we would deem "smart" is known as artificial intelligence. The focus of AI ML is on the present applications of AI, with the underlying premise that machines should ideally be allowed to access data and learn on their own. The world is going to be affected by artificial intelligence more than by some of the most pervasive inventions in history.
Dr. Sandeep Ranjan
Faculty List
Courses Offered
| S. No. | Program | Specialization | Duration | Eligibility | Intake | Admission Through |
|---|---|---|---|---|---|---|
| 1. | B. Tech | Mechanical Engineering | 4 years | 10+2 (Non-medical) | 30 | JEE, IKG PTU Counseling, Management Quota |
| 2. | B. Tech (Lateral Entry) | Mechanical Engineering | 3 years | 3 years Engineering Diploma | As per IKG PTU Norms | IKG PTU Counseling, Management Quota |
| 3. | M. Tech | Mechanical Engineering | 2 years | B. Tech in Mechanical/ Production/ Automobile/ Metallurgy engineering | 9 | IKG PTU Counseling, Management Quota |
Learning Process & Methodology
The methodology adopted to ensure proper learning includes Lectures, Tutorials and Practical's in groups of 30 each. Every classroom is equipped with LCD projector.
Personality Development & Grooming of the students The department emphasizes on personality development & grooming of the students in order to develop professional capabilities of the students. The young energetic engineers are chiseled and groomed to meet all the challenges of the swiftly changing environment. Regular Personality development programmes are organized in the department in collaboration with professional organizations. Besides, motivational lectures, Group Discussions, Mock interview sessions etc. are also organized on a regular basis. The students also get an opportunity to nurture talent and allow it to bloom through a congenial atmosphere for that language lab is used.
One faculty member has been identified as the class incharge for every class. His/her role is to guide the students for:
Academic Excellence
Personality Development
Positive Attitude
Good Behavior
Discipline
Proper Dress & Uniform
Etiquettes & Manners
Motivation to students to actively participate in extra-curricular activities viz. sports, cultural activities etc.
To refrain the students not to indulge in ragging & other social evils.
Internal Assessment is based on:- Two Mid Semester Tests (MSTs)
- Applied Assignments
- Attendance
- Discipline & General behavior of the students
Laboratories
Machine Learning Lab:
Machine Learning programs and algorithms emphasize on learning from examples. Machine learning teaches computers to learn from experience. Instead of using a preset equation as a model, machine learning algorithms "learn" information directly from data using computational techniques. As the amount of samples available for learning grows, the algorithms perform better and better in an adaptive manner. Two methods are used in machine learning: unsupervised learning, which looks for innate structures or hidden patterns in input data, and supervised learning, which trains a model using known input and output data to predict future outputs. The lab provides software, hardware and Internet resources to conduct these high end tasks for the knowledge and skills of the students.
Artificial Intelligence Lab:
Artificial Intelligence (AI) has become a central entity for programmes that carry out complicated operations that formerly required human input, such playing chess or corresponding with clients online. AI technology is increasing efficiency and performance in businesses by automating procedures or jobs that previously needed human labour. Additionally, AI is able to interpret data at a scale beyond human comprehension. That ability can yield significant business advantages. Repetitive learning and data-driven discovery are automated by AI. Artificial Intelligence handles repetitive, high-volume, digital activities rather than automating manual ones. And it does so without growing weary.
Cloud Computing Lab
The lab focuses on conducting practical assignments related to cloud computing and virtualization. Cloud computing is on-demand access, via the internet, to computing resources—applications, servers (physical servers and virtual servers), data storage, development tools, networking capabilities, and more—hosted at a remote data center managed by a cloud services provider (or CSP). The CSP makes these resources available for a monthly subscription fee or bills them according to usage. The term ‘cloud computing’ also refers to the technology that makes cloud work. This includes some form of virtualized IT infrastructure—servers, operating system software, networking, and other infrastructure that’s abstracted, using special software, so that it can be pooled and divided irrespective of physical hardware boundaries. For example, a single hardware server can be divided into multiple virtual servers.
IOT Lab
The term "Internet of Things" (IoT) describes a network of actual physical objects, including appliances, cars, and other items, that are integrated with software, sensors, and network connectivity to enable data collection and sharing. These gadgets, commonly referred to as "smart objects," can be anything from basic "smart home" appliances like smart thermostats to wearables like smartwatches and garments with RFID capabilities to sophisticated industrial and transportation systems. IoT-based "smart cities" as a whole are even being imagined by technologists.
Web Development Lab
Academics Activities
The department of AI ML conducted an innovative pedagogy activity “AI ML Basics” on 9th Nov, 2023. Students of B.Tech CSE and AI ML attended the event and learned about the basics of basics of algorithms used to simulate complex real world problems. The event incharge, Dr. Sandeep Ranjan demonstrated the use of open source technologies for creating toy applications for solving problems.
The department of AI ML conducted an innovative pedagogy activity “ AI for society”. Students presented their views on positive and negative aspects of AI & ML.
Industiral Visit
Industrial Visit To Hanni Industries
After a long time in the month March 2021 an offline Industrial Visit was organized for the students for the Department of Business Management. The students of MBA were taken to Amritsar at Hanni Industries. The industry dealt in various export quality products. They manufacture many Indian spices, Jaggery and its related products. They also deal in Kesar exports. The countries in which they export their products are Canada, New Zealand, England and many others. Their 95% business is based on exports. The owner of the industry said that he got inspired from his mother’s illness and started manufacturing pure products. He worked as one-man army at the earliest stages of business and then over the years has transformed it into a full-fledged industry. The students have learned a lot in this visit and have given positive feedback and appreciated our prestigious institute for arranging such visits.
Industiral Visit To Oceana Tech
With the aim to provide an exposure to students about practical working environments and give full awareness about the Industrial practices, an exposure visit was arranged by the Department of Business Management at “Oceana Tech" in the month of October 2020. The respected executives of the industry enlightened the students about the history of the industry as of when it was founded and all the ups and downs faced by the company owner to reach the level of success he is at now. Such visits enrich the students with practical knowledge of industrial procedures and widen their knowledge of managing industries.
Industiral Visit To Decathlon
An industrial trip to Decathlon (Ludhiana) was organized for the students of MBA on 3rd October 2019 by the Department of Business Management. The students explored and had access to the equipment and sports facilities as provided by the officials of the store. All in all it was a great visit. The students enjoyed and expect such kinds of industrial visits to be organized in future.
Events
AI ML department organized an online lecture on Lecture on Artificial Intelligence and Generative Adversarial Networks by Prof J. Amudhavel University of Tartu, Estonia on 18 April 2023. Dr. Amudhavel briefed the students about the domains of Artificial Intelligence, Machine Learning, Deep Learning and how they are impacting everyday activities. He discussed the applications of AI and ML in social networks in creating content, segregating content and automation of office work. He discussed a few websites showcasing AI open-source projects for students. Students were interested in watching 3D and graphics generated by algorithms which are quite popular on various social media platforms. He shared certification courses and projects which students can take up and make a career in AI/ ML.
Department of AI ML organized a guest lecture on Deep Learning on 7th March 2023. The resource person was Dr. Shefali Arora, Assistant Professor, NIT Jalandhar. Dr. Arora discussed the domains of Artificial Intelligence, Machine Learning, Deep Learning, Data Science and Explainable AI. She introduced to the students the term “explainable AI” which provides reasons for the actions advocated by the algorithms. This adds to the confidence in using the predictions generated by the algorithms in making decisions and policy making. Students asked questions about synthetic datasets and their authenticity in training the algorithms for their projects.
AI ML department organized a webinar on Research Development of AI based smart grid integration. The resource person of the event was Dr. M. Venkateshkumar, Assistant Professor Amrita Vishwa Vidyapeetham, Chennai who explained the role of AI in power grid integration and its benefits.