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B-TECH in Information Technology at School of Engineering, RK University
Rajkot, Gujarat
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About the Specialization
What is Information Technology at School of Engineering, RK University Rajkot?
This Information Technology (IT) program at RK University''''s School of Engineering focuses on equipping students with core competencies in computing, software development, data management, and network security. Aligned with India''''s rapidly expanding digital economy, the curriculum emphasizes practical application and innovation, preparing graduates for key roles in IT services, product development, and digital transformation initiatives across various sectors.
Who Should Apply?
This program is ideal for aspiring engineers who possess a strong aptitude for problem-solving, logical reasoning, and an interest in the digital world. It caters to fresh 10+2 science graduates aiming for entry into software engineering, data analytics, or cybersecurity roles. Additionally, it can benefit individuals seeking to gain advanced technical skills crucial for India''''s competitive IT job market.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including Software Developer, Data Analyst, Network Administrator, Cybersecurity Analyst, and Cloud Engineer. Entry-level salaries typically range from INR 3-6 lakhs per annum, with experienced professionals earning significantly more. The program aligns with industry certifications in cloud platforms and cybersecurity, fostering strong growth trajectories in leading Indian IT companies and startups.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Focus rigorously on C/C++ programming and data structures. Practice daily coding problems on platforms like HackerRank and CodeChef to build strong logical thinking and problem-solving abilities, which are foundational for all IT careers.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, NPTEL Programming Courses
Career Connection
Strong programming fundamentals are non-negotiable for all software development roles and will be heavily tested in initial placement rounds.
Build Strong Academic Habits- (Semester 1-2)
Prioritize consistent study, attend all lectures, and actively participate in lab sessions. Form study groups with peers to discuss complex topics and prepare for internal assessments and end-semester examinations effectively.
Tools & Resources
Class Notes, Reference Textbooks, University Library, Peer Study Groups
Career Connection
Academic excellence demonstrates discipline and a strong grasp of core concepts, which are valued by recruiters.
Explore IT Verticals Early- (Semester 1-2)
Beyond the core curriculum, read articles and watch introductory videos on different IT fields like AI, Cybersecurity, Web Development, and Cloud. This early exposure helps identify areas of interest for future specialization and projects.
Tools & Resources
YouTube Tech Channels, Tech Blogs (e.g., Medium), Introductory Coursera/edX Courses
Career Connection
Understanding the landscape helps make informed choices for electives and internships, shaping a clearer career path.
Intermediate Stage
Engage in Mini-Projects and Hackathons- (Semester 3-5)
Actively participate in departmental mini-projects and college-level hackathons. Apply learned concepts from DBMS, OOP, and Web Development to build small, functional applications, showcasing practical skills.
Tools & Resources
GitHub, VS Code, Localhost servers, Hackathon platforms
Career Connection
Projects are crucial for building a portfolio. Recruiters value candidates who can demonstrate applied knowledge and problem-solving through practical work.
Develop Specialization-Specific Skills- (Semester 4-5)
As electives are introduced, dive deep into chosen areas like Data Analytics, AI, or Advanced Databases. Take online courses, read research papers, and work on advanced problems to build specialized expertise.
Tools & Resources
Udemy, Coursera, NPTEL advanced courses, Kaggle for Data Science
Career Connection
Specialized skills make you a strong candidate for niche roles and open doors to higher-paying opportunities in specific tech domains.
Network with Industry Professionals- (Semester 3-5)
Attend industry seminars, workshops, and career fairs organized by the university or local tech communities. Connect with alumni and industry leaders on platforms like LinkedIn to gain insights and potential mentorship.
Tools & Resources
LinkedIn, Industry conferences, Alumni network events
Career Connection
Networking can lead to internship opportunities, mentorship, and invaluable career advice, giving you an edge in the job market.
Advanced Stage
Pursue Quality Internships and Industrial Training- (Semester 7)
Secure internships (4-6 months) with reputable companies, ideally aligned with your specialization. Focus on gaining hands-on experience, learning industry best practices, and converting internships into pre-placement offers (PPOs).
Tools & Resources
College Placement Cell, Internshala, Naukri.com, Company career pages
Career Connection
Internships are the most direct path to placements. Strong performance often leads to PPOs, bypassing competitive interview processes.
Undertake a Capstone Project/Dissertation- (Semester 7-8)
Dedicate significant effort to the final year project or dissertation. Choose a challenging problem, apply advanced concepts, and aim for a scalable, well-documented solution. Consider publishing in conferences or journals if it''''s research-oriented.
Tools & Resources
Research papers, Advanced IDEs, Cloud services for deployment, Version control (Git)
Career Connection
A strong capstone project demonstrates your ability to independently tackle complex problems, a key requirement for R&D roles and advanced positions.
Intensive Placement Preparation and Skill Refinement- (Semester 6-8)
Engage in rigorous aptitude test preparation, mock interviews (technical and HR), and group discussions. Refine your resume, communication skills, and understanding of core computer science concepts, along with modern technologies.
Tools & Resources
Aptitude books, Online mock interview platforms, Company-specific interview guides, Placement Cell workshops
Career Connection
Thorough preparation is vital for converting placement opportunities into successful job offers with desired companies and roles.
Program Structure and Curriculum
Eligibility:
- 12th pass (Science stream with PCM or PCMB/PC Groups) from Gujarat Board, CBSE, ISCE, NIOS or other equivalent board with minimum 45% aggregate (40% for SC/ST/SEBC) OR Diploma in Engineering with minimum 45% aggregate (40% for SC/ST/SEBC).
Duration: 8 semesters / 4 years
Credits: 187 Credits
Assessment: Internal: 30-100%, External: 0-70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1001001 | Applied Physics | Core | 4 | Quantum Mechanics, Solid State Physics, Optics, Lasers, Dielectric & Magnetic Materials |
| 1001002 | Applied Physics Lab | Lab | 1 | Optics Experiments, Semiconductor Devices, Energy Band Gap Measurement, Photoelectric Effect, LCR Circuits |
| 1002001 | Applied Chemistry | Core | 4 | Water Technology, Fuels & Combustion, Polymers, Nanomaterials, Corrosion |
| 1002002 | Applied Chemistry Lab | Lab | 1 | Volumetric Analysis, pH Metric Titrations, Viscosity Measurement, Flash Point Determination, Spectrophotometry |
| 1000001 | Engineering Graphics & Design | Lab | 2 | Engineering Curves, Orthographic Projections, Sectional Views, Isometric Projections, AutoCAD Basics |
| 1000003 | Workshop Practice | Lab | 1 | Fitting Operations, Carpentry Techniques, Welding Processes, Machining Basics, Sheet Metal Work |
| 1000002 | Communication Skills | Skill-based | 2 | Grammar and Vocabulary, Reading Comprehension, Public Speaking, Presentation Skills, Group Discussions |
| 1000004 | Basic Electrical Engineering | Core | 4 | DC & AC Circuits, Single Phase AC, Three Phase AC, Transformers, Electrical Machines |
| 1000005 | Basic Electrical Engineering Lab | Lab | 1 | Network Theorems Verification, RLC Circuit Analysis, Transformer Characteristics, Motor Starting Methods |
| 1000006 | Programming for Problem Solving | Core | 3 | C Language Fundamentals, Control Structures, Functions, Arrays and Pointers, Structures and Unions |
| 1000007 | Programming for Problem Solving Lab | Lab | 2 | C Program Implementation, Basic Algorithm Development, Array and String Manipulations, Function Calls |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1003001 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Partial Differential Equations, Multiple Integrals |
| 1003002 | Engineering Mathematics-II | Core | 4 | Linear Algebra, Vector Calculus, Complex Numbers, Laplace Transforms, Fourier Series |
| 1000008 | Engineering Mechanics | Core | 4 | Forces and Equilibrium, Friction, Moment of Inertia, Kinematics of Particles, Kinetics of Particles |
| 1000009 | Engineering Mechanics Lab | Lab | 1 | Lami''''s Theorem Verification, Polygon Law of Forces, Friction Experiments, Centroid of Plane Laminas |
| 1000010 | Environmental Science | Core | 3 | Natural Resources, Ecosystems, Environmental Pollution, Global Environmental Issues, Environmental Ethics |
| 1000011 | Data Structure & Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 1000012 | Data Structure & Algorithms Lab | Lab | 2 | Data Structure Implementation, Sorting Algorithm Implementation, Graph Traversal Algorithms |
| 1000013 | Basic Electronics Engineering | Core | 3 | Diodes and Transistors, Rectifiers and Filters, Amplifiers and Oscillators, Operational Amplifiers, Digital Electronics Fundamentals |
| 1000014 | Basic Electronics Engineering Lab | Lab | 1 | Diode Characteristics, Rectifier Circuits, Transistor Amplifier Design, Logic Gates Verification, Flip-flops and Counters |
| 1000015 | Cyber Security & Forensics | Core | 3 | Cybercrime and Attacks, Network Security Basics, Cryptography Fundamentals, Digital Forensics, Incident Response |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1003003 | Engineering Mathematics-III | Core | 4 | Probability and Statistics, Regression and Correlation, Random Variables, Probability Distributions, Sampling Theory |
| 1000016 | Introduction to IT | Core | 3 | History of IT, Computer Architecture, Operating Systems Overview, Networking Basics, Internet & Web Technologies |
| 1000017 | Introduction to IT Lab | Lab | 1 | Operating System Commands, Network Utilities, Web Browser Usage, Basic Office Tools |
| 1070001 | Digital Logic Design | Core | 4 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory Elements |
| 1070002 | Digital Logic Design Lab | Lab | 1 | Logic Gates Verification, Adders and Subtractors, Flip-flops Implementation, Counters Design |
| 1070003 | Database Management Systems | Core | 4 | DBMS Architecture, ER Model, Relational Model, SQL, Normalization |
| 1070004 | Database Management Systems Lab | Lab | 2 | SQL Query Writing, Database Creation, PL/SQL Programming, Database Design Projects |
| 1070005 | Object Oriented Programming | Core | 4 | OOP Concepts (Classes, Objects), Inheritance and Polymorphism, Encapsulation and Abstraction, C++ or Java Syntax, Exception Handling |
| 1070006 | Object Oriented Programming Lab | Lab | 2 | OOP Concept Implementation, Mini Projects in C++ or Java, Debugging Techniques |
| 1000018 | Professional Skills | Skill-based | 2 | Soft Skills Development, Email Etiquette, Interview Skills, Resume Building, Teamwork and Collaboration |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1003004 | Numerical Methods & Statistical Techniques | Core | 4 | Solution of Algebraic Equations, Interpolation, Numerical Integration, Curve Fitting, Hypothesis Testing |
| 1070007 | Operating System | Core | 4 | OS Structure and Components, Process Management, CPU Scheduling, Memory Management, File Systems |
| 1070008 | Operating System Lab | Lab | 2 | Linux Commands, Shell Scripting, Process Synchronization, Memory Allocation Algorithms |
| 1070009 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Physical Layer, Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP) |
| 1070010 | Computer Networks Lab | Lab | 2 | Network Configuration, Socket Programming, Packet Analysis (Wireshark), Network Simulation Tools |
| 1070011 | Web Development | Core | 4 | HTML and CSS, JavaScript and Client-Side Scripting, Server-Side Scripting (PHP/Node.js), Database Integration, Web Security Basics |
| 1070012 | Web Development Lab | Lab | 2 | Static Website Development, Dynamic Website Development, Form Handling, Database Connectivity |
| 1070013 | Design & Analysis of Algorithms | Core | 4 | Algorithm Complexity Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 1070014 | Design & Analysis of Algorithms Lab | Lab | 1 | Algorithm Implementation, Time and Space Complexity Analysis, Problem Solving Strategies |
| 1000019 | Entrepreneurship Development | Skill-based | 2 | Entrepreneurial Mindset, Business Plan Development, Marketing Strategies, Funding and Venture Capital, Legal Aspects of Business |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1070015 | Microprocessor and Microcontroller | Core | 4 | 8085/8086 Architecture, Instruction Set, Addressing Modes, Interrupts, Interfacing Techniques |
| 1070016 | Microprocessor and Microcontroller Lab | Lab | 1 | Assembly Language Programming, I/O Device Interfacing, Microcontroller Experiments |
| 1070017 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines |
| 1070018 | Advanced Java Programming | Core | 4 | GUI Programming (Swing/JavaFX), JDBC and Database Connectivity, Servlets and JSP, Web Services, Spring Framework Basics |
| 1070019 | Advanced Java Programming Lab | Lab | 2 | Database-Driven Web Applications, Enterprise Application Development, MVC Pattern Implementation |
| 1070020 | Elective-I (Theory) | Elective | 4 | Object Oriented Analysis and Design (UML, Design Patterns), Data Analytics (Preprocessing, EDA, Statistical Methods), Advanced Database Systems (Distributed, NoSQL, Data Warehousing) |
| 1070024 | Elective-I Lab | Lab | 1 | Practical implementation related to chosen elective |
| 1070025 | IT Project-I | Project | 2 | Project Identification, Problem Definition, System Design, Implementation and Testing, Documentation |
| 1070026 | Minor Project - I | Project | 2 | Small-scale software development, Application of learned technologies, Teamwork and collaboration |
| 1000020 | Indian Constitution | Mandatory Non-Credit | 2 | Preamble and Fundamental Rights, Directive Principles of State Policy, Structure of Government, Constitutional Amendments, Federalism |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1070027 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization |
| 1070028 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation, Intermediate Code Generator |
| 1070029 | Cloud Computing | Core | 4 | Cloud Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security, AWS/Azure Overview |
| 1070030 | Cloud Computing Lab | Lab | 2 | Cloud Application Deployment, Using Cloud Services, Virtualization Experiments, Cloud Monitoring |
| 1070031 | Artificial Intelligence | Core | 4 | AI History and Foundations, Problem-Solving Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics |
| 1070032 | Artificial Intelligence Lab | Lab | 1 | Search Algorithm Implementation, AI Game Development, Introduction to ML Libraries |
| 1070033 | Elective-II (Theory) | Elective | 4 | Computer Graphics (Transformations, Shading), IoT & Smart Systems (Architecture, Protocols), Big Data Analytics (Hadoop, MapReduce, Spark) |
| 1070037 | Elective-II Lab | Lab | 1 | Practical implementation related to chosen elective |
| 1070038 | Project Phase I | Project | 3 | In-depth Project Planning, System Design and Architecture, Literature Survey, Preliminary Implementation, Team Collaboration |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1070039 | Machine Learning | Core | 4 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation Metrics, Deep Learning Basics, Bias-Variance Tradeoff |
| 1070040 | Machine Learning Lab | Lab | 2 | ML Algorithm Implementation (Python, Scikit-learn), Data Preprocessing, Model Training and Evaluation, Introduction to TensorFlow/PyTorch |
| 1070041 | Data Science | Core | 4 | Data Acquisition and Cleaning, Feature Engineering, Exploratory Data Analysis, Predictive Modeling, Data Visualization |
| 1070042 | Data Science Lab | Lab | 1 | Data Manipulation with Pandas, Statistical Analysis in Python, Interactive Dashboards (Tableau/Power BI), Case Study Analysis |
| 1070043 | Elective-III (Theory) | Elective | 4 | Cyber Security (Network Attacks, Cryptography), Mobile Application Development (Android/iOS, UI/UX), Image Processing (Enhancement, Segmentation, Feature Extraction) |
| 1070047 | Elective-III Lab | Lab | 1 | Practical implementation related to chosen elective |
| 1070048 | Project Phase II | Project | 4 | Advanced Implementation, Testing and Debugging, Performance Optimization, Final Report Writing, Project Presentation |
| 1070049 | Industrial Training / Internship | Internship | 2 | Hands-on Industry Experience, Professional Skill Development, Real-world Project Exposure, Corporate Environment Understanding |
| 1000021 | Professional Ethics | Mandatory Non-Credit | 2 | Ethical Theories, Professional Responsibility, Code of Conduct, Ethical Decision Making in Engineering, Intellectual Property Rights |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 1070050 | Industrial Project / Dissertation | Project | 16 | Large-scale Project Development, Research Methodology, Advanced Problem Solving, Independent Work and Innovation, Technical Writing and Presentation |
| 1070051 | Elective-IV (Theory) | Elective | 4 | Distributed Systems (Architecture, Consensus), Blockchain Technology (Cryptography, Smart Contracts), DevOps (CI/CD, Docker, Kubernetes) |
| 1070055 | Elective-IV Lab | Lab | 1 | Practical implementation related to chosen elective |
| 1070056 | Seminar | Skill-based | 2 | Technical Presentation Skills, Research Topic Exploration, Literature Review, Critical Analysis, Public Speaking |
