Division of Computer Science and Engineering
About the Division
Accredited by the National Board of Accreditation (NBA), the Division of Computer Science and Engineering stands as a beacon of excellence offering undergraduate, postgraduate and Ph.D. programs. This accreditation underscores the division's dedication to delivering high-quality education. Actively engaged in research and product development, the division cultivates an environment where faculty members, research scholars, and students collaboratively contribute to cutting-edge advancements in computing. Programs and courses are continually updated to align with global requirements, covering diverse domains such as Data Science, Artificial Intelligence, Cyber Security, Blockchain, IoT, Cloud Computing, and Virtual Reality.
The teaching and learning process is enriched by leveraging advanced computing facilities, ensuring students are well-equipped to launch their careers in emerging fields. Committed to producing well-rounded graduates, the division's emphasis on adaptability and practical, hands-on experience prepares students for success in the ever-evolving landscape of computer science and engineering.
Our Vision
To raise world class Computer Science and Engineering professionals excelling in academics, research and providing solutions to human problems.
Our Mission
To develop professionals with strong fundamental concepts, programming and problem-solving skills with exposure to emerging technologies.
To promote research in the state of art technologies, providing solutions to human problems especially in the area of Health, Water, Energy and Food.
To develop leadership qualities with ethical values to serve the society.
UG Programs
- B.Tech. Computer Science and Engineering
- B.Tech. Computer Science and Engineering (with Artificial Intelligence and Machine Learning)
PG Programs
- M.Tech. Computer Science and Engineering
- M.Tech. Computer Science and Engineering (with Artificial Intelligence and Data Science)
- M.Tech. Cyber Security
Ph.D Programs
- Ph.D., Computer Science and engineering
- Artificial Intelligence: Principles and Techniques
- Computer Networks
- Computer Organization and Architecture
- Cryptography and Network Security
- Data Science Ecosystem
- Data Structures and Algorithms
- Database Management Systems
- Design and Analysis of Algorithms
- Digital System Design
- Discrete Structures
- Distributed Computing
- Embedded Systems
- Internet of Things
- Machine Learning Techniques
- Microprocessor and Microcontroller
- Object Oriented Programming
- Operating Systems
- Optimization Methodologies
- Programming for Problem Solving
- Python Programming
- Software Engineering
- System Software and Compiler Design
- Theory of Computation
- Web Technology
- Agile Software Development
- Artificial Intelligence: Principles and Techniques
- Augmented Reality & Virtual Reality
- Automatic Speech Recognition
- Big Data Analytics
- Blockchain Technology
- Cloud Computing
- Cognitive Computing
- Computer Vision
- Cyber Forensics
- Cyber Security
- Data Acquisition and Processing
- Data and Information Security
- Data Visualization and Presentation
- Deep Learning
- Design and Development of Custom Blockchain
- Exploratory Data analysis
- Feature Engineering
- Full Stack Development
- Geometric Modelling and Design Thinking
- Git and Github for beginners
- Hybrid Mobile Application Development
- Information Retrieval and Text Analysis
- Malware Analysis and Reverse Engineering
- MERN Full Stack Development
- Microservice Architecture
- Microservice Architecture
- MLOps
- Nature Inspired Optimization
- Parallel and Distributed Computing
- Pattern Matching and Anomaly Detection
- Predictive Analytics
- Quantum Computing
- Realtime Data Streaming
- Reinforcement Learning
- Robotic Process Automation
- Robotics
- Spring Framework
- System Administration
Computing Security Research Lab
Executive Summary
Envisaging the demand of the cyber security professionals, the Computing Security Research (CSR) Lab in the Division of Computer Science and Engineering operates with the vision to catalyze innovation, entrepreneurship and capacity building in cyber security and privacy among the students and research scholars in association with Cyber Security Knowledge Mission and top industries including CompTIA, EC-Council, Fortinet Network Security Academy and Paloalto Cyber Security Academy.
Academic Courses Offered
- Ethical Hacking
- Cloud Security
- Cyber Forensics
- Digital Forensics
- Biometrics for Security
- Big Data Security
- IoT Security
- Wireless and VOIP Security
- Malware Analysis and Reverse Engineering
- Cyber attacks
- Security Engineering
- Risk Assessment
Prospective Job roles
- Cyber Security Analyst
- Security Architect
- Cyber Security Engineer
- Security Software Developer
- Application Security Engineer
- Computer Forensics Analyst
- Malware Analyst
- Penetration Tester
- Ethical Hacker
IBM Big Data software Centre of Excellence
Executive Summary
The IBM Big Data Software Centre of Excellence is a initiative with a vision to enable the students and faculty in higher education to gain the relevant skills in Business Analytics, experiential learning and to make them adept with latest Big Data technology and tools. The objective of this collaboration is to have a number of students graduating from the institution skilled in industry requirements, using best-in-class IBM Software in Big Data Analytics. Both IBM and the University will collaborate in a way that shall benefit the students pursuing a career in the industry. The mission of the program is to bridge the gap between the aspirations of students and the demands of the industry; to establish a lab set up with the latest software content, real-world industry experience, hands-on lab courses and best practices.
The IBM CoE offers
- Periodic Faculty training programmes and students training by IBM Experts on the current updates in the Big data technology
- Industry mentors for Project and career support
- Project Competitions and Hackathons.
- Industry offered courses
- Internships and Entrepreneurship support from leading Industries.
IBM SkillsBuild Program
IBM Skills Academy Courses
Through IBM Skills Academy, students at KITS have access to a diverse range of courses encompassing key technological domains. These courses are meticulously designed to provide comprehensive insights into industry-relevant topics, ensuring that students are well-prepared to tackle real-world challenges. The courses covers
- Cloud Computing: Understanding cloud infrastructure, deployment models, and hands-on experience with cloud platforms.
- Data Science: Exploring data analysis, machine learning algorithms, and data visualization techniques.
- Artificial Intelligence: Delving into AI fundamentals, natural language processing, and computer vision applications.
- Cyber Security: Learning about threat detection, network security, and ethical hacking methodologies.
Faculty Training Initiatives
In collaboration with IBM, KITS facilitates the skillsbuild Train The Trainer (T3) program, enabling faculty members to enhance their proficiency in advanced IBM tools for AI and Data Science. This program equips educators with the knowledge and resources to deliver high-quality instruction, thereby enriching the learning experience for students. Faculty members undergo rigorous training sessions and gain insights into emerging technologies, ensuring that they remain at the forefront of innovation in education.
Student Certification Opportunities
As part of the partnership with IBM, students at KITS have the opportunity to obtain practitioner certificates in technologies such as AI, Data Science, and Cybersecurity. These certifications validate students' expertise and proficiency in their respective fields, enhancing their employability and career prospects. By acquiring industry-recognized credentials, students demonstrate their readiness to contribute effectively in the ever-evolving tech landscape.
IBM WatsonX Generative AI Faculty Award
The institution has been awarded the IBM WatsonX Generative AI faculty award, valued at $10,000. This prestigious accolade underscores the institution's dedication to fostering innovation and advancing research in the field of Artificial Intelligence.
Netezza Appliance
The IBM Netezza 100 is an easy-to-use appliance that requires minimal tuning and administration, speeding up application development. The bundled package from IBM for establishing Big data lab consists of the Netezza appliance which will be a complete framework of Big Data analytics solution that can seamlessly integrate for any enterprise-level deep analytical operation. As a commodity based appliance, IBM Netezza 100 is a very affordable analytic option, delivering up to 10 TB of user data capacity in a compact physical and environmental footprint.
Cisco Networking Academy
Executive Summary
The Cisco Networking Academy at the Division of Computer Science and Engineering offers cutting-edge training in the areas of networking technologies, cyber security, Internet of Things, Software Defined Networking preparing students for the dynamic field of IT. With hands-on experience and comprehensive work, students gain proficiency in network design, implementation, and troubleshooting. The academy provides access to Cisco's globally recognized certifications, enhancing students' employability in the competitive tech industry. Supported by expert faculty and state-of-the-art infrastructure, the centre emphasizes practical skills development alongside theoretical knowledge. Through industry-aligned curriculum and collaboration opportunities, Karunya University's Cisco Networking Academy equips graduates with the expertise needed to excel in the rapidly evolving field of networking.
Highlights
- More than 700 students completed Virtual Internship Program supported by AICTE and NASSCOM in the areas of Cyber Security, Programming and Networking.
- 100+ students got placement opportunity in the areas of networking, cyber security and software development.
- 5000+ course completions in Programming in C, Python, Networking, Cloud Computing, DevNet, CCNA, CCNP, JavaScript, IoT and Cyber Security.
- 72 Scopus/SCI indexed research publications made.
- Equipped students to win hackathons including Intel Grand Challenge, Cisco ThinQbator.
The Microsoft Centre for Artificial Intelligence and Data Science at Karunya Institute of Technology and Sciences is a premier laboratory of the division of CSE actively involved in research and development in the areas of Azure Cloud, Data Science, and Artificial Intelligence. Its salient features include cutting-edge infrastructure equipped with advanced computing resources and state-of-the-art data analytics tools. The center fosters interdisciplinary collaboration, bringing together experts from diverse fields to tackle complex challenges. Through industry partnerships, students gain Microsoft certifications at a subsidized cost, get access to e-learning materials free of cost, and get free Azure credits.
Objectives
- Innovating and developing technologies to enhance the effectiveness and strengthen AI technologies
- Effectively leveraging the developments in cognitive and Artificial Intelligent Systems for solving human and business problems.
- To train the students in the fields of Data Science and Artificial Intelligence.
- To acquire AI & Data Analysis skills through Microsoft certification.
- To build and deploy production-grade AI applications.
Highlights
- 1000+ students trained by Microsoft experts in the field of AI and Data Science
- 500+ students certified by Microsoft through this centre.
- 50+ students got a placement opportunity through the Microsoft Certifications.
- 50+ Scopus / SCI indexed research publications made.
- 2 patents published through this center.
Specialized Hardware
- 28 DELL 3640 Precision Tower (i7, 32GB RAM, 256GB SSD + 1TB HDD)
- 8 HP Pro Tower 400 G9Desktop (i7, 16GB RAM, 256GB SSD + 1TB HDD)
In an era where technology and education converge to shape the future, the Division of Computer Science and Engineering proudly announces its enhanced partnership with the SUSE Academic Program. This alliance, rooted in a decade-long relationship initiated in 2010 with Novell, SUSE's partner, underscores our shared commitment to nurturing academic excellence and technological innovation.
Empowering Future Innovators with Cutting-edge Education
Our journey with Novell began in 2010, establishing a foundation that has since evolved into a flourishing academic ecosystem. This collaboration saw the introduction of the SUSE Certified Administrator in Enterprise Linux certification, significantly enriching our curriculum and setting a benchmark for excellence. By 2014, our alliance expanded, supporting our M.Tech program and the creation of a distinguished Center of Excellence for Cloud Computing at KITS. This enduring partnership celebrates our dedication to providing state-of-the-art education and fostering innovation in the technology realm.
Highlights of Our Collaboration:
- Comprehensive endorsement of B.Tech and M.Tech programs in Computer Science and Engineering, with a focus on Linux certification training by certified university personnel.
- Direct assistance in student and faculty placements through SUSE's Academic Program partner network.
- Continuous support for the Center of Excellence, enhancing its status with dedicated branding and signage.
- Exclusive training sessions hosted by SUSE partners at the Center of Excellence in Coimbatore.
- Access to SUSE Academy's online resources for Karunya students and faculty, enriching the learning experience.
- Provision of comprehensive training materials for certified Linux and other courses, benefiting both instructors and students.
- Curriculum support that allows faculty to integrate these educational resources on campus effectively.
- Free access to SUSE products for educational or laboratory use, facilitating hands-on learning experiences.
- Availability of development resources for lab use, software development, or other educational activities.
- A full support package, including access to SUSE's knowledge base, forums, and technical support services.
- Successful completion of the SUSE FY2023 – Female STEM Mentorship Programme by two of our students.
- 45 Scopus /SCI indexed research Publications
- 56+ students completed various SUSE certification courses
Advanced Infrastructure for Unparalleled Learning Opportunities
Our Centre is equipped with specialized hardware designed to meet the demands of contemporary and future computing challenges:
&nsbp;&nsbp;1. Supermicro Super Storage Server: A powerhouse of storage solutions, ideal for Big Data Analytics, Cloud Storage Services, Database Management, Enterprise Backup Solutions, Virtualization, High-Performance Computing (HPC), Content Delivery Networks (CDN), and AI and Machine Learning applications.
&nsbp;&nsbp;2. Super Micro Server (8 Blades): A compact, efficient system perfect for Virtualization, Web Hosting, and Database Servers, offering high availability and quick data access.
&nsbp;&nsbp;3. Nvidia RTX GPU Machine: Setting new standards in graphics technology, this machine is pivotal for Content Creation, Data Science and AI, Professional Visualization, and Virtual Production, significantly reducing render times and enhancing creative processes.
Join Us in Shaping the Future
The SUSE Centre of Excellence for Cloud Computing stands at the forefront of technological education and innovation. We invite students, faculty, and industry partners to explore the limitless possibilities our partnership offers. Together, we continue to build a legacy of excellence, preparing the next generation of leaders to navigate the complexities of the digit
Intel Unnati Artificial Intelligence Internet of Things Lab
The Intel Unnatti AIIoT lab significantly enhances the CSE division's reputation and emphasizes faculty development. Exclusive benefits for the Intel Unnati Community include participation in the Intel Unnati Grand Challenge, attendance at Intel Unnati Ignite workshops, co-sponsorship opportunities via the Intel Unnati Catalyst, industrial training under the Intel Unnati Industrial Training program, and access to the Intel Unnati Research Launchpad. Recent student achievements include winning ₹2,40,000/- in Intel Unnatti competitions. Additionally, 121 students completed internships through Intel Unnati Industry training. Notably, Mr. Daniel Gunasekaran (URK21CS1003) secured first place in the Intel Unnati Industrial Training Summer 2023, receiving a ₹30,000/- cash award. Over 40 students visited the Intel campus in Bengaluru.
Highlights:
- Over 50 events were organized through Intel, highlighting a dedication to knowledge dissemination, collaboration, and community involvement.
- Achieving consecutive victories in the Intel Unnati Grand Challenge underscores students' outstanding abilities and innovative prowess.
- The ₹2,40,000/- awarded through various competitions emphasizes the significance of these endeavors.
- With 121 students completing internships via Intel Unnati Industry training, they've gained invaluable practical insights, real-world exposure, and industry connections.
- 41 fortunate students enjoyed the privilege of touring the Intel campus in Bengaluru, offering inspiration, networking prospects, and insight into cutting-edge technology advancements.
Students and staff get the following benefits.
- Intel® Unnati Grand Challenge, where students solve industry-relevant, high-impact problems through technology, with cash awards and opportunities for internships on offer.
- Intel® Unnati Ignite workshops that offer hands-on experience with Intel technologies
- Intel® Unnati Industrial Training, where qualifying students work for a month on industry-relevant problems under the guidance of industry mentors
- Intel® Unnati Catalyst co-sponsorships of events focused on new technologies
- Intel® Unnati Research Launchpad, which offers grants to faculty members for research in emerging technologies
Specialized equipment
These unmanned aerial vehicles (UAVs) are equipped with sensors, cameras, and onboard processors. They can fly autonomously, following pre-defined flight paths or responding to real-time data. Applications include aerial photography, surveillance, agriculture, and search-and-rescue missions.
Ideal for rapid prototyping, custom manufacturing, and hobbyist projects.
Edge computing devices process data closer to the source rather than in centralized data centers. The UpSquare and UpSquare Extreme are powerful single-board computers designed for edge AI applications. The Vision Camera enhances computer vision tasks.
These servers provide computational power for data processing, storage, and networking. Dual-socket means they have two CPU sockets, allowing for parallel processing. Commonly used in data centers, cloud computing, and enterprise environments.
An open-source electronics platform based on easy-to-use hardware and software. Used for prototyping, creating interactive projects, and building electronic gadgets.
A credit-card-sized single-board computer uUsed for various applications, including home automation, media centers, and IoT projects.
These sensors can measure physical quantities (such as temperature, humidity, pressure, light, motion) and convert them into electrical signals. They play a crucial role in building smart devices and systems.
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M.TECH. COMPUTER SCIENCE AND ENGINEERING
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Contact Us
Computer Science and Engineering,
Karunya Institute of Technology and Sciences,
Coimbatore, India- 641114.