Department of Computer Science Faculties Conducted On-line Orientation on Internship For BCA Students-2026

The Department of Computer Science Facultie Conducted On-line Orientation For BCA Students-2026

Faculty In-charge :

Mr. Teekshith Kumar M

Assistant Professor,Department of Computer Science-SBMJFGC-KGF

Date : 16-7-2026

Mode :On-line

Reason for Conducting the Online Orientation on Internship for BCA Students – 2026

The Department of Computer Science organized an Online Orientation on Internship for BCA Students – 2026 to create awareness about the importance of internships in shaping students’ professional careers. The session aimed to familiarize students with internship opportunities available in the IT industry, eligibility criteria, application procedures, and expected workplace ethics. Students were guided on developing technical skills, communication abilities, teamwork, and problem-solving techniques required in real-world organizations. The orientation also highlighted the significance of industry exposure, practical learning, and hands-on experience beyond classroom education. Experts explained how internships bridge the gap between academic knowledge and industrial requirements. The program encouraged students to prepare professional resumes, build strong LinkedIn profiles, and enhance their employability through certifications and projects. Information regarding virtual and offline internships, placement support, and career planning was also provided. Students gained insights into current industry trends, emerging technologies, and employer expectations. The session motivated them to participate actively in internships to improve confidence and professional competence. Overall, the orientation empowered BCA students with the knowledge and guidance needed to make informed career decisions, strengthen their technical expertise, and increase their chances of securing rewarding employment opportunities after graduation.

Department of Computer Science Faculty Published Text Book For SEP BCA -2026

The Department of Computer Science Faculty Published Text Book For SEP BCA 2026

Author : Mr. Siddarama S

Head, Department of Computer Science-SBMJFGC-KGF

Title of Text Book : Computer Networks

ISBN : 9-788168-830-820

Motive to Publish the Computer Science Textbook Computer Networks by Author

The publication of the textbook “Computer Networks” by Siddarama is driven by the vision of providing students with a comprehensive, practical, and industry-oriented understanding of computer networking concepts. The book is designed to bridge the gap between theoretical knowledge and real-world networking applications, enabling learners to build a strong technical foundation. It covers essential topics such as network architecture, communication protocols, network security, wireless technologies, cloud networking, and emerging trends in a simple and structured manner. Special emphasis has been given to concepts aligned with the latest university syllabi and current industry requirements, making it an ideal resource for undergraduate and postgraduate Computer Science students. The book encourages analytical thinking, problem-solving, and hands-on learning through examples and practical scenarios. It also serves as a valuable reference for competitive examinations, certification courses, and professional development. By simplifying complex networking concepts, the author aims to make quality technical education accessible to every learner. The publication reflects a commitment to academic excellence, innovation, and skill development in the field of Computer Science. It is expected to inspire students, educators, and aspiring IT professionals to explore networking technologies with confidence and contribute effectively to the rapidly evolving digital world.

Department of Computer Science Organised FDP [Faculty Development Program]

The Department of Computer Science Organised FDP [Faculty Development Program]

Date : 18/06/2026

At: Auditorium SBMJFGC-KGF

Organized by: Department of Computer Science, SBMJFGC, KGF in association with IQAC

Total Faculty Participants : 55

Resource Person :

Dr. Ilango

FIETE (Fellow of the Institution of Electronics and Telecommunication Engineers) SMIEEE (Senior Member, Institute of Electrical and Electronics Engineers)

Internationally Recognized and Certified Mentor & Coach – UNESCO Agency, USA International Member – American Psychological Association (APA), USA Project Director and Coordinator – ICSSR-ICSSR Research Project-GoI-MoE Founder & Director – Warriors Consulting Services and Solutions Pvt. Ltd. (DPIIT)

Title of FDP : “AI in Education: A Need for IPR Generation”

The Principal is addresed a Faculty Development Programme (FDP) on “AI in Education: A Need for IPR Generation”,

1. AI-Driven Knowledge Creation and Intellectual Property

Artificial Intelligence is transforming higher education from knowledge consumption to knowledge generation. Faculty and researchers must leverage AI tools to create patentable innovations, copyrighted content, and proprietary educational technologies.

2. Integration of AI in Research and Innovation Ecosystems

AI-powered analytics, machine learning models, and data-driven decision-making can accelerate research outcomes, leading to increased patent filings, technology transfers, and commercialization opportunities.

3. Intellectual Property Rights (IPR) as a Measure of Academic Excellence

Modern accreditation frameworks such as NAAC and NIRF increasingly recognize patents, copyrights, and innovation outputs as indicators of institutional quality and global competitiveness.

4. AI-Assisted Patent Discovery and Prior-Art Analysis

Advanced Natural Language Processing (NLP) systems can automate patent searches, identify research gaps, and support novelty assessment, reducing the time required for innovation validation.

5. Generative AI for Educational Content Development

Generative AI technologies enable faculty members to create original digital learning resources, virtual laboratories, simulations, and adaptive educational materials that can be protected through copyrights and licensing mechanisms.

6. Building an Innovation-Centric Academic Culture

Educational institutions must establish AI Innovation Cells, Incubation Centers, and IPR Facilitation Units to encourage faculty and students to convert research outcomes into intellectual assets.

7. Ethical AI and Ownership of AI-Generated Content

As AI contributes to research and content creation, institutions must develop clear policies regarding authorship, inventorship, copyright ownership, and ethical use of AI-generated outputs.

8. AI-Based Multidisciplinary Research for Patent Generation

The convergence of AI with domains such as healthcare, agriculture, cybersecurity, biotechnology, and environmental science creates opportunities for high-impact patents and industry collaborations.

9. Commercialization of Academic Innovations

The true value of IPR lies not only in obtaining patents but also in technology transfer, startup creation, licensing agreements, and industry partnerships that contribute to economic development.

10. Vision for AI-Enabled Universities and Future Readiness

Institutions must transition toward AI-enabled smart campuses where research, innovation, entrepreneurship, and IPR generation become integral components of teaching and learning, preparing students for the Fourth Industrial Revolution and the emerging knowledge economy.

Session 1: AI in Education – Key Technical Points (As Delivered by Resource Person Dr. Ilangoo)

  1. Artificial Intelligence as a Transformative Educational Technology
    • AI is revolutionizing teaching-learning processes through intelligent automation, adaptive learning systems, and personalized education pathways.
  2. Machine Learning-Based Personalized Learning
    • AI algorithms analyze student performance data to customize content delivery, learning pace, and assessment strategies according to individual learner needs.
  3. Natural Language Processing (NLP) in Education
    • NLP technologies power chatbots, virtual tutors, automated essay evaluation systems, and multilingual educational platforms to enhance learner engagement.
  4. Predictive Analytics for Student Performance Monitoring
    • AI models can identify at-risk students through behavioral and academic data analysis, enabling early intervention and improved retention rates.
  5. Intelligent Tutoring Systems (ITS)
    • AI-driven tutoring systems provide real-time feedback, personalized guidance, and adaptive instruction similar to one-on-one teaching environments.
  6. Generative AI for Content Creation
    • Advanced AI models can generate lesson plans, question banks, case studies, laboratory manuals, and interactive learning materials, reducing faculty workload.
  7. AI-Powered Assessment and Evaluation
    • Automated grading systems, plagiarism detection tools, and competency-based evaluation frameworks improve assessment efficiency and transparency.
  8. Learning Analytics and Educational Data Mining
    • AI extracts actionable insights from large educational datasets, helping institutions improve curriculum design, teaching effectiveness, and student outcomes.
  9. Ethical AI and Responsible Usage in Academia
    • Educational institutions must address concerns related to data privacy, algorithmic bias, academic integrity, transparency, and responsible AI governance.
  10. Future of AI-Enabled Smart Education Ecosystems
    • The integration of AI with IoT, Cloud Computing, AR/VR, Digital Twins, and Learning Management Systems (LMS) will create intelligent, data-driven educational environments supporting lifelong learning.

Session 2: Patent Filing and Copyright Protection – 10 Technical Points

1. Importance of Intellectual Property Rights (IPR) in Academia

  • Intellectual Property Rights protect innovations, research outcomes, software, educational content, and creative works generated by faculty and students.

2. Patentability Criteria

  • An invention must satisfy three essential requirements:
    • Novelty (new and not disclosed previously)
    • Inventive Step (non-obvious advancement)
    • Industrial Applicability (practical utility)

3. Prior Art Search Before Patent Filing

  • Researchers should conduct a comprehensive patent search using databases such as the World Intellectual Property Organization PATENTSCOPE and the Indian Patent Office databases to ensure originality.

4. Types of Patent Applications

  • Provisional Patent Application
  • Complete Specification Patent
  • National Patent Filing
  • International Patent Filing through the Patent Cooperation Treaty mechanism

5. Patent Drafting Methodology

  • A patent document must include:
    • Title of Invention
    • Abstract
    • Technical Field
    • Background
    • Detailed Description
    • Drawings/Flowcharts
    • Claims (most critical section)

6. Copyright Protection for Academic Works

  • Copyright safeguards:
    • Research papers
    • Books and study materials
    • Software source code
    • Multimedia educational content
    • E-learning modules and digital resources

7. Copyright Registration Process

  • Copyright protection exists upon creation, but registration provides stronger legal evidence of ownership and facilitates dispute resolution.

8. AI-Generated Content and Ownership Challenges

  • The emergence of Generative AI raises questions regarding authorship, originality, ownership rights, and legal protection of AI-assisted works.

9. Technology Transfer and Commercialization

  • Patents and copyrights can be monetized through:
    • Licensing agreements
    • Industry collaborations
    • Startups and spin-off companies
    • Royalty-based commercialization

10. Role of Faculty in IPR Generation

  • Faculty members should transform research projects, innovative teaching methodologies, software applications, and product prototypes into protected intellectual assets, thereby enhancing institutional innovation rankings.

Department of Computer Science Conducted Various Events Under BCA Next Gen

The Department of Computer Science Conducted Various Events Under BCA Next Gen

Day 1

  1. Typing Master

Objective:
To enhance participants’ typing speed, accuracy, and keyboard proficiency through a competitive environment.

Motive:
To encourage students to develop essential computer skills that improve productivity and efficiency in academic and professional tasks.

  1. Jigsaw Puzzle

Objective:
To test participants’ problem-solving abilities, observation skills, and teamwork through puzzle-solving activities.

Motive:
To promote logical thinking, patience, and collaborative learning among students.

  1. Rubik’s Cube

Objective:
To assess participants’ analytical thinking, memory, and speed in solving the Rubik’s Cube.

Motive:
To foster critical thinking, concentration, and an interest in puzzle-solving techniques.

  1. Free Fire

Objective:
To evaluate participants’ strategic planning, teamwork, and decision-making skills in a competitive gaming environment.

Motive:
To provide an engaging platform that promotes coordination, communication, and healthy competition.

  1. PPT Presentation

Objective:
To assess participants’ presentation skills, subject knowledge, creativity, and communication abilities.

Motive:
To encourage effective public speaking and the clear presentation of ideas using digital tools.

  1. Reels Making

Objective:
To showcase participants’ creativity, storytelling abilities, and video-editing skills through short-form content creation.

Motive:
To promote digital creativity and practical experience in modern content production techniques.

  1. Stumble Guys

Objective:
To test participants’ reflexes, adaptability, and gaming skills in a fun and competitive setting.

Motive:
To encourage entertainment, sportsmanship, and friendly interaction among participants.

  1. Riddles

Objective:
To evaluate participants’ logical reasoning, critical thinking, and problem-solving abilities.

Motive:
To stimulate intellectual curiosity and enhance cognitive skills through engaging challenges.

  1. BGMI

Objective:
To assess strategic thinking, teamwork, coordination, and in-game decision-making skills.

Motive:
To provide a platform for competitive gaming while encouraging collaboration and leadership.

Day 4

  1. Hardsell

Objective:
To evaluate participants’ marketing, persuasion, communication, and sales skills.

Motive:
To develop confidence, creativity, and entrepreneurial thinking through practical selling scenarios.

  1. RC Car

Objective:
To test participants’ control, precision, and technical handling skills in operating remote-controlled vehicles.

Motive:
To encourage interest in technology, engineering concepts, and hands-on learning experiences.


  1. Debate

Objective:
To assess participants’ critical thinking, public speaking, argumentation, and communication skills.

Motive:
To promote informed discussions, confidence in expressing opinions, and respectful exchange of ideas.

Department of Computer Science Organized IoT Exhibition

The Department of Computer Science Organized IoT Exhibition

Date : 22nd May 2026

Total Student Participant :80

Total IoT Projects :23

Faculty In-charge: Dileep D, Assistant Professor Department of Computer Science

The Department of Computer Science of Sri Bhagawan Mahaveer Jain First Grade College, Kolar Gold Field, successfully organized the IoT Exhibition 2026 on 22nd May at the Open Auditorium with the aim of encouraging innovation, creativity, and technical knowledge among students.

The main purpose of the IoT Exhibition was to provide students with an opportunity to showcase their innovative ideas and practical applications of Internet of Things (IoT) technology. The exhibition focused on futuristic solutions, smart automation systems, robotics, AI-based projects, security systems, drones, and environmental monitoring concepts that can help society and inspire young innovators.

The IoT Exhibition 2026 was organized under the guidance of Principal Dr. Rekha Sethi, Head of the Department of computer science Mr. Siddarama S , Mr. Dileep (Asst. Professor), Mr. Teekshith Kumar (Asst. Professor), Mr. Ranjeeth (System admin ) Their guidance and support helped the students successfully present their innovative projects.

A total of 37 students actively participated in the IoT Exhibition 2026 and demonstrated various innovative projects.

Participated Students are from final year BCA from Sri Bhagawan Mahaveer Jain First Grade College

The IoT Exhibition 2026 received appreciation from faculty members, students, and more than 500 visitors for presenting creative and practical technological solutions. The event highlighted the talent, teamwork, and innovative thinking of the students of the Department of Computer Science.

The exhibition concluded successfully with the message:

“Innovate • Inspire • Impact”

The Department of Computer Science thanked all the participants, faculty members, and visitors for making the event a grand success.

No.Project Name
1MJ mini drone
2GESTURE CONTROL
3CAR SMART DOOR LOCK
4AI VOICE CONTROL ROBOT
5TERMINAL CONTROL RC
6HUMAN FOLLOWING ROBOT
7AI BASED
8INTRUDER DETECTOR
9SMART HOME AUTOMATION
10SMART FIRE & SMOKE
11DETECTION USING ALARM
12CLOUD INTEGRATED
13PARKING SYSTEM
14MO CHAN 2.O
15QUADRUPED SPIDER ROBOT
16SMART ENVIRONMENTAL MONITORING SYSTEM
17EYES OF LUCIFIER
18FIRE DRONE
19AUTOMATIC BIRD DETECTION & DETERRENT SYSTEM
20ROBIN WOOD
21RC ORNITHOPTER
22SMART OBSTACLE AVOIDING ROBOT
23FIRE FIGHT TRUCK