Introduction
Computer Science & Engineering (Internet of Things & Cyber security with Blockchain Technology) undergraduate engineering course has been started from the academic year 2021-22 with the intake capacity of 60 seats. This B.E CSE (IoT & Cyber Security including Blockchain Technology), undergraduate programme familiarises students with the functional and operational aspects of IoT, Cyber Security and Blockchain Technology.
Advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry. Moreover, the growing impact of AI on society demands that graduates are capable and ethical collaborators, able to ensure the safe and effective adoption of new technologies across domains.
The program begins with introductory courses in programming, computer science, mathematics, and statistics that provide a firm technical foundation. From there, learn core AI concepts and techniques including AI & ML Techniques, Virtual Reality, Web Applications using Machine Learning Techniques, Natural Language and Image Processing, Robotic Process Automation, Business Analytics, Speech Processing, Cognitive systems, Biometrics Systems, computer vision, and language understanding. The program includes a variety of advanced AI electives, enabling technical mastery in specific subfields. Also, specific electives are introduced that will focus on the Application of AI in various industry.
Vision
Envision becoming a premier department in providing high-quality technical education in IoT, Cyber security, and Blockchain technologies to students, enabling them with industry-relevant skills, critical thinking, and a hands-on approach to tackle real-world challenges in socially responsible and sustainable ways and engage in quality research.
Mission
- To deliver a comprehensive and quality education that equips students with the skills and knowledge needed to excel in IoT, Cybersecurity, and Blockchain.
- To provide a conducive and pleasant learning ecosystem that promotes research and Innovation activities among the staff and students.
- To collaborate with industry, government, and the community to address real-world challenges and contribute to the betterment of society.
- Inculcate teamwork, strong ethical values, and lifelong learning skills among students with a sense of societal responsibilities
Program Educational Objectives (PEOs)
Graduates of the Computer Science and Engineering (IoT & Cyber Security with Blockchain Technology) program will be able to
Apply their knowledge and skills to succeed in their careers, continue life-long learning, pursue higher education at a reputed institution, and develop their professional knowledge.
- Provide innovative solutions, communicate effectively using modern tools, and work productively & ethically in multidisciplinary teams by embracing global challenges with leadership skills.
- Design and integrate hardware and software systems through cutting-edge technologies and open-source platforms in IoT, Cyber Security, and Blockchain technologies to provide reliable techno-commercially feasible software solutions for societal and industrial problems.
- Achieve excellence in the IT profession by becoming leaders, researchers, entrepreneurs, and catalysts for social change through a high-quality education grounded in mathematics, engineering, and fundamental science principles.
Program Specific Outcomes (PSOs)
The graduates of the Computer Science and Engineering (IoT & Cyber Security with Blockchain Technology) program will be able to
- Identify cybersecurity vulnerabilities and threats and develop strategies to mitigate these risks, with a focus on Blockchain technologies.
- Develop, integrate and optimize IoT solutions across diverse domains, enhancing the efficiency and reliability of interconnected devices and systems.
Program Outcomes (POs)
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: Identify, 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 reasoning 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 team work: 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.
Department Advisory Board
Dr. Shivananda V. Seeri, HoD (CSE-IoT) – Chairman
Dr. Prashanth C M, – Principal, MITE
Ms. Sonia Peal KP – Assistant Professor
Mr. Sandeep S Naik – Assistant Professor
Mr. Aneesh Kumar A – Assistant Professor
Prof. Narendra V G – Professor, Department of Computer Science and Engineering, MIT, Manipal. – Academic Expert
Mr. Santhosh V Y – Delivery Head, Vidita Solutions, Mangalore – Industry Expert
Faculty List
Dr. Shivananda V. Seeri
Educational Qualification :
- Ph.D: Computer Science & Engineering
- Tech: Computer Science & Engineering
- E: Computer Science & Engineering
Total Experience: 25
Area of Interest:
- Big Data Analytics
- Distributed System
- Cloud Computing
- AI & ML
- Cyber Security
- Internet of Things
- Data Warehousing and Data Mining
- Software Engineering
- Distributed Databases
Ms. Prema Jain
Educational Qualification:
B.E.: Computer Science & Engineering
M.Tech: Computer Science & Engineering
Total Experience: 7 Years
Area of Interest:
Data Science, Multicore Programming
Subjects Handled:
- Data Science for Statistics
- Database Management System
- System Software
- Data Mining and Data Warehousing
- Analog and Digital Electronics
- Microprocessor and Microcontroller
- System Modelling and Simulation
- Management and Entrepreneurship for IT Industry
- Web Technology and its Applications
- Compiler Design
- Unix Programming
Workshop/FDP/STP Attended: 16
Conference/ Journal Publications :
Journal Publications: 2
- “Ensuring security on cloud with multi-level intrusion detection system and log management system”- International Journal of Recent Advances in Engineering & Technology (IJRAET), ISSN
(Online): 2347-2812. - “Handling Big Datasets for Machine Learning” International Journal of Iconic Research and Engineering (IRE), Volume 3, Issue 1, July 2019 ISSN: 2456 – 8880
Conference Publications: 3
- “Integrating Multi-Level Intrusion Detection System into an Open Source Cloud Computing Environment” – International Conference on Advances in Engineering, Technology & Science2014 (ICAETS’14), held at Hotel Clouds Valley Leisure, Munnar, Kerala, India.
- “The Emerging role of Cloud Computing in Agricultural Sector”- Second International Conference on Recent Trends in Computer Science & Engineering (ICRTCSE 2014), held at
Apollo Engineering College, Chennai, India. - “Ensuring security on cloud with multi-level intrusion detection system and log management system”- 3rd International Conferences on Engineering and Technology-ICET 2014, Bangalore.
Mr. Aneesh Kumar A
Educational Qualification
B.Tech in Information Technology
M.Tech in Computer Science and Engineering
Total Experience : 7.5 years
Area of interest:
Computer Networks
Internet of Things
Artificial Intelligence and Machine Learning
Mr.Sandeep Seetaram Naik
Educational Qualification :
- BE-Electronics and Communication Engineering
- MTech– Digital Electronics and Communication
Total Experience: 6 Years
Area of Interest:
- Artificial intelligence
- Internet of things
- Robotics
- Embedded Systems
Infrastructure
CSE (IoT & Cyber Security with Blockchain Technology) gateway of information technology and widely sought after. The computer laboratories at MITE has excellent, state-of-the-art infrastructure having more than 36 Core I3 systems. All systems are interconnected through LAN having sophisticated servers and internet connectivity with adequate bandwidth. All the laboratories have requisite software for undertaking all kinds of latest projects.
Data Structures Lab / JAVA Lab/ Programming Lab
The lab is equipped with 36 personal computers with latest configurations. PCs are installed with dual OS: Ubuntu 18.04 LTS and Windows 07. The lab is installed with JDK, Multisim, and Matlab R and so on. The students use this lab to conduct data structure, algorithms and Java related experiments.
Research Center
Department Forum
CYBOTIC
CYBOTIC – blending humans with machines to make them stronger, more intelligent, and more capable, is a Student Association that is established to foster a collaborative environment where students, faculty, and industry experts can engage in interdisciplinary research, knowledge exchange, and skill development. CYBOTIC organizes various Technical events on the latest technologies to enhance students’ knowledge concerning all the latest trends in the industry. CYBOTIC also organizes various non-technical events and provides a platform for students to showcase their talents and help to bring out the hidden talents of students.
Committe Members of the Academic Year 2022-23
- Dr. Shivanand V Seeri, HoD -Chairman
- Mr. Sandeep Seetaram Naik, Assistant Professor- Chief Coordinator
- Mr. Prajwal D – President
- Ms. T Sujana– Vice President
- Mr. Jnanesh – Secretary
- Mr.Swasthik S Shetty– Joint Secretary
- Ms. Sowjanya Vijaya Shetty – Treasurer
- Ms. K S Chaithanya – Cultural Coordinator
- Ms.Deeksha L J– Sports Coordinator
Activity Report for AY 2023-24 Click Here
Activity Report for AY 2022-23 Click Here
Study Materials
2023 Scheme & Syllabus (Autonomous)- Click Here
Model Question Paper
Third Semester
Engineering Mathematics- III | Click Here |
Data Structures and Applications (23CSPC203) | Click Here |
Digital System Design (23CSPC204) | Click Here |
Computer Organization (23SCPC205) | Click Here |
Software Engineering (23CSPC206) | Click Here |
Universal Human Values (23HMCC215) | Click Here |