CSE (IoT & Cyber Security with Blockchain Technology)

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.

IoT_web
Cyber Security
Flat design concept blockchain and cryptocurrency technology. Composition for layout design website banner. Isometric vector illustration.

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 knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.

PO2: Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.

PO3: Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required.

PO4: Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.

PO5: Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.

PO6: The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.

PO7: Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws.

PO8: Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.

PO9: Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences.

PO10: Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.

PO11: Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.

Department Advisory Board

Dr. Shivananda V. Seeri, HoD (CSE-IoT) – Chairman

Dr. Prashanth C M, – Principal, MITE

Dr. Mannar Mannan J – Professor

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

Position: Professor & HOD

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

Dr. Shivananda V. Seeri

Professor & HOD

Educational Qualification : Ph.D: Computer Science & Engineering Tech: Computer...


Ms.SONIA PEAL K P

Position: Assistant Professor

Educational Qualification :

  • BE-Information science & Engineering
  • MTech – Computer Science & Engineering

Total Experience: 7.5
Area of Interest:

  • Artificial intelligence
  • Cyber security
  • Internet of things
  • Data structures & applications

 

Ms.SONIA PEAL K P

Assistant Professor

Mr.Sandeep Seetaram Naik

Position: Assistant Professor

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

Mr.Sandeep Seetaram Naik

Assistant Professor

Mr. Aneesh Kumar A

Position: Assistant Professor

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. Aneesh Kumar A

Assistant Professor

Ms Vijayalaxmi H Manjunatha

Position: Assistant Professor
Phone: 9900232595
Email: vijayalaxmi@mite.ac.in

Educational qualification

  • BE
  • MTech
  • Pursuing PhD from Mangalore University

Experience: 20 Years of Teaching. 3.6 years of Industry

Areas of Interest:     

  • Embedded Systems
  • Cryptography
  • Internet of Things
  • Computer Engineering

Ms Vijayalaxmi H Manjunatha

Assistant Professor

Ms. Prema Jain

Position: Assistant Professor

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.

Ms. Prema Jain

Assistant Professor

MS. SHARANYA K RAI

Position: Assistant Professor

Educational Qualification:

B.E:Computer science and engineering

M.Tech: Computer Networks

Total Experience: 2.6  years

Area of Interest: Cloud computing, Computer Networks

Subjects Handled : Database Management System, Cloud computing, Data visualisation with Python, User interface design

Workshops/FDP/SDP Attended:1

MS. SHARANYA K RAI

Assistant Professor

Dr. Mannar Mannan J

Position: Professor
Phone: 9677357738
Email: mannar@mite.ac.in

Educational Qualification:

  • Ph.D: Information and Communication Engineering (Domain: Information Retrieval and Semantic Web)
  • M.Tech: Information Technology
  • M.Sc., Computer Science

Total Experience: 23 Years

Area of Interest:

  • Semantic Web
  • Information Retrieval
  • Digital Twins
  • AR/VR
  • Machine Learning
  • Big Data Analytics
  • IoT
  • DBMS
  • Cyber Security

Dr. Mannar Mannan J

Professor

Professor of Practice

Mr Harish Neermarga

Position: Professor of Practice

Mr Harish Neermarga

Professor of Practice

Mr Santhosh V Y

Position: Professor of Practice

Mr Santhosh V Y

Professor of Practice

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.

Computer Programming Lab

The lab is equipped with 68 personal computers, each featuring an 12th Gen Intel® Core™ i5 processor (2.80 GHz), 16 GB DDR4 RAM, and a 512 GB SSD. All workstations run Windows 11 and are connected to a high-speed 1 Gbps internet connection.

The pre-installed software suite and development tools include:

  • Development & IDEs: Visual Studio Code, Code::Blocks, PyCharm, Anaconda, Python, JDK, Arduino IDE, XAMPP, and StarUML
  • Databases: MySQL and MongoDB
  • Virtualization & Security: Oracle VM VirtualBox (configured with Ubuntu, Kali Linux, and Metasploit)
  • Engineering & Simulation: Xilinx Vivado Design Suite (HLx Edition) and NI Multisim
  • Productivity & Utilities: Microsoft Office 2007 and NewTek NDI 3.8

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 2024-25

  • 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 2024-25 Click Here

Activity Report for AY 2023-24 Click Here

Activity Report for AY 2022-23 Click Here

Study Materials

2023 – IV Year Scheme & Syllabus (Autonomous)- Click Here

2023 – III Year Scheme & Syllabus (Autonomous)- Click Here

2023 – II Year Scheme & Syllabus (Autonomous) – Click Here

2022 Scheme  and Syllabus

2021 Scheme  and Syllabus

OPEN ELECTIVE COURSE HAND BOOK FOR 6th SEM – 2026

Course CodeCourse NameCouse Hand BookModel Question Paper
23ICOE321Digital ForensicsClick HereClick Here

Model Question Paper (6th Semester)

23ICPC306-Blockchain TechnologyClick Here
23ICPC307-System EngineeringClick Here
23ICPC308-Ethical HackingClick Here
23ICPE321-Cryptography and Network SecurityClick Here

Model Question Paper (5th Semester)

23ICPC302-Database management systemClick Here
23HMCC301-Entrepreneur, Management & FinanceClick Here
23ICPC303-Computer networksClick Here
23ICPC304-Internet of ThingsClick Here
23ICPE312-Machine LearningClick Here
23ICOE311-Ethical HackingClick Here

Model Question Paper (Fourth Semester )

Design and Analysis of Algorithms (23ICPC207)Click Here
Embedded_System_Design (23ICPC208)Click Here
Operating_Systems (23ICPC209)Click Here
Object_Oriented_Concepts_with_Java_Programming (23ICPC210)Click Here
Research Methodology & Intellectual Property Rights (23HMCC216)Click Here


Model Question Paper (Third Semester )

Engineering Mathematics- IIIClick Here
Data Structures and Applications (23ICPC203)Click Here
Digital System Design  (23ICPC204)Click Here
Computer Organization (23ICPC205)Click Here
Software Engineering (23ICPC206)Click Here
Universal Human Values (23HMCC215)Click Here

Beyond Syllabus

Bulletin

Bulletin 2024-25