“ Lead the digital age by Learning with Intelligent Machines”
“ Cultivating disruptive technological capabilities through a learner centric environment”

School of Innovation

In a world of dramatic and accelerating change cutting across technological, economic, cultural, environmental, and social dimensions, the role of engineers has to be expanded to include the possibilities of serving as disruptive innovators, business leaders, technology visionaries, policymakers, and custodians of the earth, its climate, natural resources, and balance. That calls for a programme that serves as a platform offering knowledge, skills, and exposure to a multidisciplinary array of fields and areas spanning STEM, arts, humanities, design, innovation, business, leadership, and entrepreneurship. Going from a teacher-centric approach to a learner-driven orientation, the very fabric of the program has been embedded with experiential learning, divergent thinking, problem-solving, creativity etc. to empower the learners to not only find stimulation for learning from discovering a higher purpose but also make them responsible for their learning objectives and knowledge outcomes.

About the Programme

360 DEGREE IMMERSION INTO FUTURE ENGINEERING

Technical competency. Inter-disciplinary exposure. Innovation Practicums. Social Externships. Incubation Bootcamps. Prototyping Semester. Corporate Internships. International Exchange. Research Immersions. Industry Mentor connects. Diverse career pathways. These are just some of the learning experiences that make the B.Tech DS & AI programme offered by Kumaraguru School of Innovation, unique. Incubated in a working laboratory and built around the world-class CDIO Standard 3 integrated curriculum, the programme puts cutting-edge knowledge at the forefront of engineering education. B.Tech D.S & A.I programme is a carefully curated 4-year programme that brings together product, process, system thinking, eastern culture and interdisciplinary skill-sets, specifically tailored around data science and artificial intelligence. It is the outcome of several years of academic and practical research from the Kumaraguru College of Technology and Forge, India’s premier technology incubator. It draws from several proven curricular models that have been successfully implemented and from current learning systems that are practised in the best universities worldwide.

Programme Framework

The B.Tech DS and AI programme envisage becoming a pioneering model in bringing STEM, Arts and Humanities and Commerce together in exciting, relevant and carefully curated modules. The learning outcomes that are envisioned by the Kumaraguru School of Innovation for all programmes include

  • Create a cohort of knowledgeable, deeply passionate computer scientists who can become part of the tribe that are designing the future world
  • Cultivate principles of ethics, cultural resonance and real-world relevance and thereby, differentiate the pool of computer professionals who emerge, true leaders and changemakers in the world

 

Key disciplines include

  • Math and Statistics
  • Arts & Humanities
  • Business and Entrepreneurship
  • Advanced Technologies
  • Computer Science
  • Data Science
  • Artificial Intelligence

 

  • YEAR 1
    Bridge Semester: Introductory courses provide the essential fundamentals of mathematics and programming to support the advanced topics in the AI and DS domain. The curriculum establishes introduction courses on AI and DS along with the Arts & Humanities and first principles of Innovation.
  • YEAR 2
    Foundation Semester: Completion of these courses will build a strong foundation in knowledge and use of tools and technology in the AI and DS domain. The practicum approach of learning the concepts will enable the students with problem-solving capabilities and critical thinking.
  • YEAR 3
    Specialisation Semester: Specialization courses focus on the advanced technologies from various industrial domains to provide cross functional proficiency for the students to excel in their fields of interest. This also enables a innovation-centric approach and makes the learning process more learner-driven for every student as they build solutions for solve real-world problems.
  • YEAR 4
    Fellowship: An immersive learning experience to provide real time experience for about a year during the course of study in a specific career pathway to enable them to enhance the skills and competencies required for the prodigies to become problem solvers, visionaries, change agents, innovators, researchers, entrepreneurs or transformative leaders.

 

Curriculum Approach

The AI& DS curriculum has been built with a modular approach to the fields of Artificial intelligence and Data science on the strength of Math, Statistics, Computer Science and Basic Science. The framework was constructed with extensive analysis of necessary skills and the knowledge domains required for a highly-skilled graduate, from various reputed universities all around the globe. It gives an in-depth understanding of the core characteristics of the field of study and enhances the learning experience. The curriculum is designed based on the CDIO (Conceiving, Designing, Implementing and Operating real-world systems and products) Integrated Curriculum. In other words, the curriculum is designed with mutually supporting disciplinary modules, and with an explicit plan to integrate personal, interpersonal, and product, process, and system building skills.

CDIO

Learning dimensions

The 4-year engineering programme in Data Science and Artificial Intelligence looks at the learning experience from a 360-degree perspective. Key dimensions include :

  • Industry designed & delivered curriculum
    Every module through the 4-year programme is designed to match the constantly dynamic world of Data Science and AI. The focus is on building real-world problem-solving capabilities through a robust theoretical foundation.
  • Product based Learning
    Learning of the B.Tech DS & AI programme is driven by a large component of on-the-job opportunities. Students get to invest in concept-to-market product development and hone skills that cover the breadth of product design and delivery.
  • Skill focused education
    The hardware incubator expertise to the programme builds a robust skill-building capability into learning. Skill development breaks away from traditional technical silo models and embraces a strong interpersonal, communication, art, design and cultural exposure as well. Going into the domains of DS and AI, these tools will enable professionals to look beyond ordinary solution frameworks.
  • Integrated Curriculum
    The CDIO Standard 3 – integrated curriculum apportions the right weightage to different disciplines that are necessary for a robust learning experience.
  • E3Mentorship Program
    The B.Tech AI & DS programme offers three critical mentorship models that every student is connected with. The shadowing provides ample scope to understand real world dynamics and upskills students during the period of learning.

    • Expertise: This module puts students in touch with industry practitioner/academician/research professionals, depending on the kind of professional pathway that individual choice is inclined to.
    • Enablement: This experience facilitates a collaborative learning approach under an alumnus/alumna.
    • Experience: Personal mentorship through a member of the extended family or immediate circles to understand cultural contexts of problem-solving
  • ProtoSem
    ProtoSem is an innovation-centric programme that facilitates immersive learning and skills and competencies development. Experts, Mentors & practitioners, adaptive self-learning, in-depth tools training enables students to solve real-world problems by applying first principles of innovation, design and engineering and develop a tech-enabled solution for the needs of industry, corporations, start-ups, and society.
  • Fellowship
    Fellowship opportunities allow the student to gain relevant work experience for about a year during the course of study. Fellowship in the specific pathway enables students to enhance the skills and competencies required for the future needs of society and professional development in chosen disciplines.
  • International Study
    As part of the Semester Abroad Programme, students will get an opportunity to take up relevant courses and learn cross-cultural environments with reputed overseas universities for about a semester/year.
  • Growth Lab and Externship
    Growth lab is a distinct KSI B.Tech DS & AI experience that brings students to significant externships, where a student can pursue independent interests in practice, explore and enhance their skills which inspire them apart from preliminary education. Growth labs also play an integral role as that stimulates in developing a student’s personality and skills in various fields of life.
  • Pathways
    The B.Tech DS and AI programme chalks out four principal pathways for students through their four years of learning. This is critical for engineering aspirants, for it tailors comprehensive immersions into the chosen discipline from Year 3, giving every student a 2-year exposure into relevant areas of focus.
  • Innovator
    • Real-world problem solver who can lead the future of these technologies.
    • The innovator specialised programmes will take students through detailed
    • exposure in building solutions in real-time and take them through the trajectory of concept-to-market over the period.
  • Researcher
    Deep, a relevant researcher on these emerging technologies. The researcher will have ample exposure to deep dive into fundamental and applied research, test capabilities and build research solutions in real-time.
  • Practitioner
    Deeply committed domain expert. This aspect of learning prepares the engineer to become a leader in DS and AI, driving excellence in problem-solving and analytical capabilities.
  • Entrepreneur
    A person who can build an idea and take it through to the final product. The engineer-entrepreneur will have ample scope to ideate, build, research and take a product/service to market during the 4-year programme.

 

Curators

  • Kumaraguru School of Innovation
    KSI comes from a 4-decade technical educational legacy. Today, its 150-acre campus consists of Kumaruguru College of Technology, the KCT Business School and Kumaruguru College of Liberal Arts and Science. Sister institutions in other campuses include Kumaraguru Institute of Agriculture and Vanavarayar Institute of Agriculture. The institutions are part of the Rs. 4500 crore Sakthi Institutions with interests in diverse fields: from sugar to soya, finance, dairy, transport, logistics and agro-industries.
  • Forge – The Partner Incubator for Open Industrial Innovation
    Forge as a partner incubator, empowers Government, Industry, and Academia to exploit strategic opportunities through Innovation powered by deep-technologies such as artificial intelligence, data science, robotics, power electronics, augmented reality/virtual reality, and IoT. By combining frontier Technology and future-ready Talent, we help our Partners drive operational excellence outcomes and achieve business growth goals, through collaboration and co-creation with startups at speed and scale via a managed innovation framework.

In recent years, though we see the Indian startup ecosystem thriving, the indigenous engineering talent adept at exploiting & harnessing futuristic technologies have predominantly been focused on building replicas of consumer-internet products of the modern Silicon Valley owing to the high rate of investment flow in the space. Forge intends to bring a change and shift the focus towards industrial deep-tech startups which hold the key to solving India’s toughest challenges in areas like manufacturing, transportation, urban infrastructure, healthcare, agriculture, water management, and various other issues impeding the economic and social development of the nation.

Philosophy

The principal philosophy of all learning at KSI envisions creating leaders, thinkers, researchers and industry professionals who will go on to build relevant ecosystems in the future world.

  • Integrity: of values, moral fibre, work ethics
  • Learnability: that manifests as intent, effort, speed, professional commitment, ability
  • Honesty: the personal responsibility to deliver excellence and stand up for an ethical world
  • Ownership: in thought, action, commitment, deliverability, in owning up to failure
  • Drive: to work hard, consistently, sustain energy and work with passion and commitment
  • Ambition: the willingness to always strive for a growth mindset, be willing to learn and unlearn in equal measure
  • Resilience: the will to rise, to fail fabulously, to win with gratitude and to be there for people as much as you can bank on them.

 

The cohort

The Experience

Student experiences at KSI are spread across a 150-acre campus and thrive in an environment that brings multi-disciplinary learning, a software development technology park and incubator to match. The campus is home to more than 6500 students, pursuing everything from engineering to liberal arts and business management. There is a social club for every hobby and ample scope to transform past-times into full-time passions.

From the HoD’s Desk

In a world of dramatic and accelerating change cutting across technological, economic, cultural, environmental, and social dimensions, the role of engineers has to be expanded to include the possibilities of serving as disruptive innovators, business leaders, technology visionaries, policymakers, and custodians of the earth, its climate, natural resources, and balance. That calls for a platform that is capable of offering knowledge, skills, and exposure to a multidisciplinary array of fields and areas moving from a teacher-centric approach to a learner-driven orientation, embedding experiential learning, divergent thinking, problem-solving, creativity etc. The B.Tech AI & DS program has been designed to empower the learners to not only find stimulation for learning from discovering a higher purpose but also make them responsible for their learning objectives and knowledge outcomes. We have witnessed a proliferation of engineering streams largely driven by the industry’s demand to output trained- manpower, who have theoretical knowledge of the underlying scientific principles translated into systems designed and engineered for specific purposes and applications. However, what has remained deficient is to generate capable innovators who pioneer the further advancement of these engineering principles and create technology breakthroughs. Those few we can speak of are exceptions but there is hope that many more can be nurtured because after all, it is human to thrive and transform in a congenial environment.

B.Tech AI & DS provides a platform for students to learn, practise, transform through structured training, coaching & mentoring provided by technology leaders, veteran entrepreneurs, business executives, and top educators from across the globe. The key strategy in designing this curriculum was based on the CDIO (Conceiving, Designing, Implementing and Operating real-world systems and products) Standard 3 – Integrated Curriculum. In other words, the curriculum is designed with mutually supporting disciplinary modules, and with an explicit plan to integrate personal, interpersonal, and product, process, and system building skills. The objective of the new applied to learn track is to train a pool of graduates who are technically competent, professionally proficient and socially responsible in quality management, regulatory compliance and manufacturing processes in the AI & DS sector. This was followed by an iterative process of developing the learning outcomes, aligning the learning outcomes, designing the learning activities and applying the assessment methods of the modules offered in this track in an integrated manner to meet the AI & DS sector’s needs.

The program is offered through core/elective, boot camps, certifications, diploma, and capstone projects. Each domain is carefully crafted to cater to diversified needs, dynamic contexts, and differentiated expectations in a learner-centric environment. The crust of this program lies in the way experiential learning, divergent thinking, problem-solving, creativity and so on are embedded into one form. The program focuses on the fundamental Science, Math & statistics before they learn Artificial intelligence through machine learning and deep learning. A wide range of professional courses in different domains, such as Arts & Humanities, Business& Entrepreneurship, Innovation and design and specialisations are offered to deepen their understanding and knowledge and build a strong foundation of skills & competencies in these prodigies. The program comprises of 4 different pathways, namely entrepreneur, innovator, practitioner and a researcher from which the prodigies will pick one of these pathways that they find fascinating and skillful and work to ameliorate their knowledge base over the desired pathway.

PEOs, PSOs and POs

Program Educational Objectives:

The graduates of this program shall have :

  1. A successful professional career in industry, government, and academia to build innovative solutions using technology as a tool to solve real-world problems.
  2. Research capabilities in advanced technologies and contribute to a new body of knowledge.
  3. A learning mindset to continuously improve their knowledge, through on the job, formal and informal learning opportunities
  4. An ethical attitude and exhibit effective skills in communication, management, teamwork and leadership.
  5. Engineering, problem-solving and critical thinking skills to create social, economical and sustainable impact.

 

Program Specific Outcomes:

After completing their graduation, students of AI & DS will be able to do:

  1. Apply the principles of artificial intelligence and data science that require problem-solving, inference, perception, knowledge representation, and learning.
  2. Demonstrate the ability to create innovative solutions from idea to product, applying scientific methods and tools.
  3. Exhibit strong professional skills to function effectively in multi-disciplinary and heterogeneous teams with a growth mindset.

 

Program Objectives:

Graduates of AI & DS programme will have the following abilities:

PO1 Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2 Problem analysis: Identity, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3 Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
PO4 Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5 Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.
PO6 The engineer and society: Apply to reason informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7 Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8 Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9 Individual and teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10 Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11 Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12 Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

Thrust Areas

  • Natural Language Processing
  • Deep Learning And Computer Vision
  • Reinforcement Learning
  • Analysis and Visualization of Big Data
  • Data Science In Public Policy
  • AI in Industrial Automation
  • Future Mobility
  • Personalization and Recommender Systems

 

Program Facilitators

  1. Gokul Kumar K, M.Sc (BITS Pilani), MBA, Co-Founder & CTO, Vusar – AR 3D Design Visualization, California [Linkedin Profile]
  2. DoraiThodla, B.E (CEG, Guindy), Founder & CTO, iMORPH, California [Linkedin Profile]
  3. Derrick Jose, B.E (BITS Pilani), CEO & Founder, Flutura, Texas [Linkedin Profile]
  4. Smrithi Rekha Adinarayanan, MS (University of Buffalo), (PhD), Co-founder of Anaadi Foundation, Palani [Linkedin Profile]
  5. Dr Lakshmi Meera, B.Sc [AS] Computer Technology, MBA, MPhil, PhD, Program Director, Forge, Coimbatore [Linkedin Profile]
  6. Vivek Poovalingam, B.E, Program Manager, Forge, Coimbatore [Linkedin Profile]
  7. Deepak N, M.Tech, (PhD), Program Manager, Forge, Coimbatore [Linkedin Profile]

 

LabFacilities

Laboratories are an integral part of any engineering program, as they bring a practical learning experience among the students. For B.Tech AI&DS, the laboratories have been integrated with the classroom, to facilitate practicum based courses. The computational requirement for the course has been split as computing essentials, mid power computing, high power computing, specific computing and cloud access. The classrooms contain all the necessary computing machines for the students to learn and develop their knowledge to the fullest. The program resources were planned keeping in mind the different transitions of learning and execution such as research, innovation and development.

  • The computing essentials consists of the basic requirements for computing, laptops, monitors, docking stations, accessories and so on.
  • The Mid power computing consists of workstations that have a higher computing power for complex and time consuming programs and model developments.
  • High power computing is basically a personal supercomputer that can execute commands and programs at a very high rate and accuracy in a short span of time, that can be utilisedfor research purposes.
  • Raspberry Pi , Jetson Nano, and other edge computers are the specific computing devices.
  • There is also a NAS Cloud dedicated for the course, for the students, to store necessary datasets over the internet for ease of access and repository maintenance.