

B-TECH in Name Information Technology Seats 60 at Federal Institute of Science And Technology (FISAT)


Ernakulam, Kerala
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About the Specialization
What is {"name": "Information Technology", "seats": 60} at Federal Institute of Science And Technology (FISAT) Ernakulam?
This Information Technology program at Federal Institute of Science And Technology (FISAT) focuses on the theoretical foundations and practical applications of IT, encompassing areas like software development, data management, networking, and cybersecurity. The curriculum is designed to equip students with core competencies and adapt to the rapid technological advancements prevalent in the Indian and global IT landscape, emphasizing innovation and problem-solving skills.
Who Should Apply?
This program is ideal for aspiring engineers who possess a strong aptitude for logical reasoning and a keen interest in computer science applications. It caters to fresh graduates seeking entry into the thriving Indian IT sector, as well as those aiming for roles in software engineering, data analytics, network administration, or cybersecurity. Candidates with an analytical mindset and a passion for creating digital solutions will find this program rewarding.
Why Choose This Course?
Graduates of this program can expect diverse and rewarding career opportunities in India, including roles as Software Developers, System Analysts, Network Engineers, Database Administrators, and IT Consultants, with potential entry-level salaries ranging from INR 4-8 LPA. The comprehensive training also prepares students for advanced studies, entrepreneurship in the tech startup ecosystem, and specialized certifications highly valued by top Indian and international companies.

Student Success Practices
Foundation Stage
Master Basic Programming and Logic- (Semester 1-2)
Consistently practice programming in C/C++ or Python. Focus on understanding data types, control structures, functions, and fundamental algorithms. Regularly solve problems on coding platforms to build strong logical thinking.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, NPTEL''''s ''''Programming in C'''' course
Career Connection
A solid foundation in programming and logic is indispensable for securing entry-level software development roles and excelling in technical interviews, particularly for major IT service companies in India.
Develop Strong Academic Habits- (Semester 1-2)
Actively engage in all core engineering subjects, focusing on conceptual understanding rather than rote learning. Form study groups with peers to discuss complex topics and reinforce learning. Attend all lab sessions diligently.
Tools & Resources
Study groups, Academic textbooks, NPTEL lectures for engineering fundamentals
Career Connection
Academic excellence builds a strong resume and enhances eligibility for internships and higher studies. A strong understanding of basics is crucial for advanced IT concepts and problem-solving.
Initiate Small Practical Projects- (Semester 1-2)
Start building simple projects related to basic programming, web design, or electronics. This hands-on experience translates theoretical knowledge into practical skills and builds an early portfolio.
Tools & Resources
GitHub for version control, Arduino/Raspberry Pi for hardware projects, W3Schools for web basics
Career Connection
Practical project experience demonstrates initiative and a passion for technology, making a student more attractive to recruiters for internships and entry-level positions.
Intermediate Stage
Deep Dive into Core IT Subjects- (Semester 3-5)
Gain in-depth knowledge and practical proficiency in core IT subjects like Data Structures, Algorithms, Operating Systems, and Database Management Systems. Focus on implementation and optimization.
Tools & Resources
LeetCode for advanced problem-solving, DBMS tools (MySQL, PostgreSQL), Linux command line interface
Career Connection
Mastery in these foundational areas is crucial for roles in product development, system architecture, and advanced software engineering, opening doors to highly sought-after positions in Indian startups and MNCs.
Seek Industry Internships and Workshops- (Semester 3-5)
Actively pursue summer internships with technology companies to gain real-world project experience. Participate in industry-specific workshops, seminars, and guest lectures to stay updated with current trends and network with professionals.
Tools & Resources
Internshala, LinkedIn Jobs, College career services, Local tech meetups
Career Connection
Internships provide invaluable practical exposure, often leading to pre-placement offers and significantly boosting employability. Networking is key for future career growth in the Indian IT sector.
Contribute to Open-Source or Group Projects- (Semester 3-5)
Join or initiate open-source projects, participating in collaborative coding. This enhances version control skills, teamwork, and exposes students to industry-standard development practices.
Tools & Resources
GitHub, GitLab for collaboration, Stack Overflow for troubleshooting, Mozilla, Google Summer of Code
Career Connection
Open-source contributions demonstrate practical coding skills, problem-solving abilities, and commitment, which are highly regarded by hiring managers in progressive Indian tech companies.
Advanced Stage
Undertake Impactful Major Projects- (Semester 6-8)
Select challenging major projects that address real-world problems or incorporate cutting-edge technologies like AI/ML, Cloud, or Cybersecurity. Document the project thoroughly and present it professionally.
Tools & Resources
Cloud platforms (AWS, Azure, GCP), Machine learning frameworks (TensorFlow, PyTorch), Project management tools (Jira, Trello)
Career Connection
A strong final year project acts as a significant differentiator, showcasing specialized skills and problem-solving capabilities, directly impacting placement opportunities in tech giants and innovative startups.
Intensive Placement and Career Preparation- (Semester 6-8)
Engage in rigorous placement preparation, including mock interviews, group discussions, aptitude tests, and resume building workshops. Focus on improving communication and presentation skills essential for corporate roles.
Tools & Resources
Online aptitude platforms, Interview preparation websites (e.g., GeeksforGeeks interview section), College placement cell guidance
Career Connection
Comprehensive preparation is vital for cracking the highly competitive campus placements in India, enabling students to secure desired roles with attractive salary packages.
Explore Specializations and Certifications- (Semester 6-8)
Pursue advanced certifications in trending domains like Cloud Architecture, Data Science, or Ethical Hacking from recognized platforms. Consider exploring postgraduate research opportunities or competitive exams like GATE.
Tools & Resources
Coursera, edX for specialized courses, AWS/Azure/Google Cloud certifications, ISC2/CompTIA for cybersecurity certifications
Career Connection
Specialized certifications and advanced knowledge make graduates highly competitive for niche roles, leadership positions, and opportunities for higher education or global careers.
Program Structure and Curriculum
Eligibility:
- As per APJ Abdul Kalam Technological University (KTU) norms for B.Tech admission, typically 10+2 with Physics, Chemistry, and Mathematics as core subjects, and specified minimum marks in these subjects. Specific eligibility criteria are subject to KTU and Government of Kerala directives.
Duration: 8 semesters / 4 years
Credits: 179 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Linear Algebra and Calculus | Core | 4 | Matrices and Systems of Linear Equations, Eigenvalues and Eigenvectors, Partial Differentiation and Applications, Vector Calculus (Gradient, Divergence, Curl), Applications of Integral Calculus |
| PH100 | Engineering Physics A | Core | 4 | Quantum Mechanics Fundamentals, Statistical Mechanics, Solid State Physics, Lasers and Fiber Optics, Superconductivity and Nanomaterials |
| BE100 | Engineering Mechanics | Core | 4 | Introduction to Statics and Dynamics, Equilibrium of Rigid Bodies, Friction and its Applications, Kinematics of Particles, Work, Energy and Impulse-Momentum Principles |
| BE102 | Design and Engineering | Core | 2 | Engineering Design Process, Problem Statement and Specifications, Conceptual Design and Ideation, Material Selection and Prototyping, Ethical Considerations in Design |
| HS101 | Life Skills | Core | 2 | Self-awareness and Personal Values, Communication and Interpersonal Skills, Time Management and Goal Setting, Stress Management and Emotional Intelligence, Professional Etiquette and Teamwork |
| PH110 | Engineering Physics Lab | Lab | 1 | Experiments on Optics (Interference, Diffraction), Semiconductor Device Characteristics, Magnetic Field Measurements, Determination of Thermal Properties, Measurement of Physical Constants |
| BE100(A) | Engineering Graphics Workshop | Lab | 1 | Introduction to Engineering Graphics, Orthographic Projections, Isometric Views, Sectional Views, Introduction to CAD Software |
| CS100 | Computer Programming | Core | 4 | Introduction to C Programming, Control Flow Statements, Functions and Arrays, Pointers and Strings, Structures, Unions, and File I/O |
| Prakrithi | Physical and Mental Well-being | Audit | 0 | Yoga and Meditation Techniques, Physical Fitness and Nutrition, Stress Reduction Strategies, Mental Health Awareness, Healthy Lifestyle Practices |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA102 | Probability, Statistics and Complex Functions | Core | 4 | Probability Distributions, Sampling Theory and Estimation, Hypothesis Testing, Complex Numbers and Elementary Functions, Conformal Mapping and Complex Integration |
| CY100 | Engineering Chemistry A | Core | 4 | Electrochemistry and Batteries, Corrosion and its Prevention, Water Technology, Polymers and Composites, Spectroscopic Techniques |
| EE100 | Basics of Electrical Engineering | Core | 4 | DC Circuits and Network Theorems, AC Fundamentals and Circuits, Three-Phase Systems, Transformers, DC and AC Machines |
| BE104 | Introduction to Electronics Engineering | Core | 4 | Semiconductor Diodes and Rectifiers, Bipolar Junction Transistors, Field-Effect Transistors, Operational Amplifiers, Digital Logic Gates |
| HS102 | Business Economics | Core | 2 | Introduction to Micro and Macro Economics, Demand and Supply Analysis, Market Structures, National Income and Business Cycles, Financial Management Basics |
| CY110 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Conductometric and Potentiometric Titrations, pH Measurement, Viscosity and Surface Tension Experiments, Colorimetry |
| BE104(A) | Electronics Engineering Workshop | Lab | 1 | Identification of Electronic Components, Soldering Practice, PCB Fabrication and Assembly, Basic Power Supply Design, Digital Logic Circuit Implementation |
| Bhoomija | Environmental Science and Sustainable Engineering | Audit | 0 | Ecology and Ecosystems, Environmental Pollution and Control, Solid Waste Management, Renewable Energy Sources, Green Technology and Sustainable Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Probability Distributions, Transforms and Numerical Methods | Core | 4 | Random Variables and Probability Distributions, Laplace Transforms, Fourier Transforms, Numerical Solution of Equations, Numerical Integration and Differentiation |
| IT201 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Tree Traversal, Graphs and Graph Traversal Algorithms, Sorting and Searching Algorithms |
| IT203 | Object Oriented Programming | Core | 4 | Introduction to OOP Concepts, Classes, Objects, and Methods, Inheritance and Polymorphism, Abstract Classes and Interfaces, Exception Handling and Multithreading |
| IT205 | Data Communication | Core | 4 | Network Models (OSI, TCP/IP), Physical Layer Transmission Media, Data Link Control Protocols, Error Detection and Correction, Switching Techniques |
| IT207 | Logic System Design | Core | 4 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits (Flip-flops), Registers and Counters, Memory and Programmable Logic |
| IT231 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Binary Search Tree Operations, Graph Traversal Algorithms (BFS, DFS), Sorting and Searching Algorithms Implementation |
| IT233 | Object Oriented Programming Lab | Lab | 1 | Class and Object Creation, Implementation of Inheritance and Polymorphism, Method Overloading and Overriding, Abstract Classes and Interfaces, Exception Handling and File Operations |
| VAC201 | Value Added Course 1 | Audit | 0 | Soft Skill Development, Introduction to Emerging Technologies, Communication Enhancement, Basic Aptitude Training, Career Exploration |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA202 | Discrete Mathematics | Core | 4 | Mathematical Logic and Proof Techniques, Set Theory and Relations, Functions and Sequences, Graph Theory and Trees, Combinatorics and Recurrence Relations |
| IT202 | Principles of Object Oriented Techniques | Core | 4 | Advanced OOP Concepts, Unified Modeling Language (UML), Design Patterns, Generic Programming, Event-Driven Programming |
| IT204 | Operating Systems | Core | 4 | Operating System Structures, Process Management and Scheduling, Memory Management Techniques, File Systems and I/O Management, Deadlocks and Concurrency Control |
| IT206 | Database Management Systems | Core | 4 | Relational Database Model, SQL Query Language, Database Design (ER Model, Normalization), Transaction Management, Concurrency Control and Recovery |
| IT208 | Principles of Compiler Design | Core | 4 | Compiler Structure and Phases, Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation and Optimization |
| IT232 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Management using System Calls, CPU Scheduling Algorithms Implementation, Memory Allocation Techniques Simulation, Synchronization Problems (Producer-Consumer) |
| IT234 | Database Management Systems Lab | Lab | 1 | SQL Data Definition Language (DDL), SQL Data Manipulation Language (DML), Joins and Subqueries, Views, Stored Procedures, and Functions, Database Connectivity (JDBC/ODBC) |
| VAC202 | Value Added Course 2 | Audit | 0 | Introduction to Python/Java, Web Development Basics, Cloud Computing Fundamentals, IoT Essentials, Ethical Hacking Workshop |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT301 | Software Engineering | Core | 4 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles and Patterns, Software Testing Techniques, Software Project Management and Quality |
| IT303 | Computer Networks | Core | 4 | Network Layer Protocols (IP, ICMP), Routing Algorithms (RIP, OSPF), Transport Layer Protocols (TCP, UDP), Congestion Control, Application Layer Protocols (HTTP, DNS, FTP) |
| IT305 | Internet Technologies | Core | 4 | Web Architecture and Technologies, HTML5, CSS3, JavaScript, Client-Side and Server-Side Scripting, AJAX and JSON, Web Services (SOAP, REST) |
| IT307 | Formal Languages and Automata Theory | Core | 4 | Finite Automata and Regular Expressions, Context-Free Grammars and Pushdown Automata, Turing Machines, Decidability and Undecidability, Complexity Theory (P, NP Classes) |
| IT309 | Microprocessors and Microcontrollers | Core | 4 | 8086 Microprocessor Architecture, Assembly Language Programming, Memory and I/O Interfacing, 8051 Microcontroller Architecture, Microcontroller Programming and Applications |
| IT341 | Computer Networks Lab | Lab | 1 | Network Configuration and Troubleshooting, Socket Programming (TCP/UDP), Packet Sniffing and Analysis (Wireshark), Implementation of Routing Protocols, Network Security Tools |
| IT343 | Internet Technologies Lab | Lab | 1 | HTML/CSS Website Development, Client-Side Scripting with JavaScript, Server-Side Scripting with PHP/Node.js, Database Integration with Web Applications, Developing RESTful APIs |
| IT351 | Mini Project | Project | 2 | Problem Identification and Scope Definition, System Analysis and Design, Software/Hardware Implementation, Testing and Debugging, Project Report and Presentation |
| ITL301 | Computer Hardware and Maintenance Lab | Lab | 1 | PC Assembly and Disassembly, OS Installation and Troubleshooting, Hard Disk Partitioning and Formatting, Network Cable Crimping, Basic Network Device Configuration |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT302 | Cryptography and Network Security | Core | 4 | Symmetric Key Cryptography (DES, AES), Asymmetric Key Cryptography (RSA), Hash Functions and Digital Signatures, Network Security Protocols (SSL/TLS, IPsec), Firewalls and Intrusion Detection Systems |
| IT304 | Data Warehousing and Data Mining | Core | 4 | Data Warehousing Concepts and Architecture, OLAP Operations and Data Cubes, Data Preprocessing and Cleaning, Association Rule Mining, Classification and Clustering Techniques |
| IT306 | Distributed Computing | Core | 4 | Distributed System Architectures, Inter-process Communication, Distributed File Systems, Distributed Transactions and Concurrency Control, Consensus Algorithms |
| IT308 | Cloud Computing | Core | 4 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technologies, Cloud Security Challenges, Big Data Processing in Cloud |
| IT4XX | Program Elective 1 | Elective | 4 | Digital Image Processing Fundamentals, Software Testing Methodologies, Artificial Intelligence Concepts, Mobile Computing Architectures, Cyber Forensics Basics |
| IT332 | Cryptography and Network Security Lab | Lab | 1 | Implementation of Symmetric Key Algorithms, Implementation of Asymmetric Key Algorithms, Digital Signature Schemes, VPN Configuration, Firewall Rule Management |
| IT334 | Data Warehousing and Data Mining Lab | Lab | 1 | ETL Process Implementation, OLAP Cube Operations, Association Rule Mining using Apriori, Classification using Decision Trees, Clustering using K-Means |
| IT352 | Comprehensive Exam | Core | 2 | Aptitude and Logical Reasoning, Core Engineering Principles, General Technical Knowledge, Problem-Solving Skills, Communication and Presentation |
| IT362/364 | Industrial Training / Professional Ethics | Audit | 0 | Workplace Exposure and Practical Skills, Industry Best Practices, Ethical Dilemmas in Engineering, Professional Responsibilities, Intellectual Property Rights |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT401 | Big Data Analytics | Core | 4 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases, Stream Processing |
| IT403 | Machine Learning | Core | 4 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Reinforcement Learning, Model Evaluation and Selection, Neural Networks and Deep Learning Basics |
| IT405 | Data Science | Core | 4 | Data Collection and Preprocessing, Exploratory Data Analysis, Statistical Inference, Machine Learning for Data Science, Data Visualization and Storytelling |
| IT4XX | Program Elective 2 | Elective | 4 | Blockchain Technologies, Internet of Things Architecture, Natural Language Processing, Cyber Physical Systems, Game Development Principles |
| IT4XX | Program Elective 3 | Elective | 4 | Information Retrieval Systems, Augmented and Virtual Reality, Quantum Computing Fundamentals, Cloud Security, Robotics and Automation |
| IT451 | Project Phase 1 | Project | 3 | Problem Statement Formulation, Literature Review, System Requirement Specification, Feasibility Analysis, Preliminary System Design |
| IT431 | Big Data Analytics Lab | Lab | 1 | Hadoop Cluster Setup and Configuration, MapReduce Programming, Hive and Pig Scripting, Spark RDD and DataFrame Operations, Data Visualization Tools |
| IT433 | Machine Learning Lab | Lab | 1 | Implementation of Supervised Learning Algorithms, Implementation of Unsupervised Learning Algorithms, Feature Engineering and Selection, Model Training and Evaluation, Introduction to Deep Learning Frameworks |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| IT4XX | Program Elective 4 | Elective | 4 | Advanced Cryptography, Web Application Security, Ethical Hacking and Penetration Testing, IoT Security, Cloud Security Best Practices |
| IT4XX | Program Elective 5 | Elective | 4 | Computer Vision and Image Processing, Speech Recognition and Synthesis, Software Defined Networking, Robotics Operating System (ROS), Human Computer Interaction |
| IT4XX | Program Elective 6 | Elective | 4 | Deep Learning Architectures, Edge Computing, Blockchain Applications, Digital Forensics and Incident Response, Bioinformatics |
| IT402 | Major Project | Project | 6 | Detailed Design and Implementation, System Integration and Testing, Performance Evaluation and Benchmarking, Technical Report Writing, Project Presentation and Demonstration |
| IT404 | Seminar | Core | 1 | Research Paper Presentation, Technical Communication Skills, Literature Review and Analysis, Critical Thinking and Discussion, Recent Advancements in IT |




