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B-TECH in Information Technology at Aditya Institute of Technology and Management
Srikakulam, Andhra Pradesh
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About the Specialization
What is Information Technology at Aditya Institute of Technology and Management Srikakulam?
This Information Technology (IT) program at Aditya Institute of Technology and Management (AITAM) focuses on equipping students with a robust foundation in software development, data management, networking, and emerging technologies. It is designed to meet the dynamic demands of the Indian IT industry by combining theoretical knowledge with practical, application-oriented skills, fostering innovative problem-solvers. The curriculum emphasizes core IT principles while offering specializations in cutting-edge areas.
Who Should Apply?
This program is ideal for ambitious 10+2 graduates with a strong aptitude for mathematics and problem-solving, aspiring to build a career in the rapidly expanding Indian IT sector. It caters to freshers seeking entry into software development, data analysis, cybersecurity, or cloud computing roles. The curriculum is also suitable for those looking to develop strong coding skills and understand the architectural nuances of modern IT systems.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles such as Software Developer, Data Analyst, Network Engineer, System Administrator, and IT Consultant. Entry-level salaries typically range from INR 3-6 lakhs per annum, with experienced professionals earning significantly more. The program aligns with industry needs, preparing students for growth trajectories in major Indian IT firms, startups, and product-based companies, enhancing employability and professional certification opportunities.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate significant time in Semesters 1-2 to solidify understanding of C and Java programming concepts, data structures, and algorithms. Actively participate in coding challenges and solve at least 2-3 problems daily to build logical thinking and problem-solving skills.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, Online C/Java compilers
Career Connection
Strong programming fundamentals are non-negotiable for all IT roles, particularly for cracking technical interviews and excelling in initial project assignments in Indian IT companies.
Build a Strong Academic Base- (Semester 1-2)
Focus on understanding core engineering subjects like Mathematics, Physics, and Digital Logic Design. Form study groups, clarify doubts regularly with faculty, and practice numerical problems. Aim for conceptual clarity rather than rote learning.
Tools & Resources
Textbooks, Lecture Notes, Previous Year Question Papers, Peer Study Groups
Career Connection
A solid foundation in these subjects aids in understanding advanced IT concepts, analytical problem-solving, and performing well in competitive exams for higher studies or public sector jobs.
Enhance Communication & Soft Skills- (Semester 1-2)
Actively participate in English Language and Communication Skills Lab. Practice public speaking, group discussions, and professional writing. Join college clubs like Toastmasters or debate societies to build confidence and interpersonal skills, crucial for interviews and teamwork.
Tools & Resources
English Language Lab resources, TED Talks, Communication skill-building workshops
Career Connection
Effective communication is vital for internships, placements, and professional growth in IT, enabling clear articulation of ideas and seamless collaboration in diverse teams.
Intermediate Stage
Engage in Practical Application & Mini Projects- (Semester 3-5)
Beyond lab work, undertake at least 2-3 mini-projects in areas like Web Technologies, Database Management, or Python programming. This practical application of theoretical knowledge helps solidify understanding and build a portfolio. Participate in hackathons.
Tools & Resources
GitHub, VS Code, Localhost servers (XAMPP/WAMP), Python/Java IDEs
Career Connection
Practical projects demonstrate problem-solving abilities and technical prowess to recruiters, significantly boosting placement chances and providing valuable hands-on experience for entry-level roles.
Explore Specializations & Electives- (Semester 5-6)
Research and choose professional electives wisely based on emerging industry trends (e.g., AI, Machine Learning, Cloud Computing). Attend workshops, webinars, and online courses in your chosen area to gain deeper insights and skills beyond the curriculum.
Tools & Resources
NPTEL, Coursera, Udemy, LinkedIn Learning, Industry expert talks
Career Connection
Specializing in high-demand fields makes you more attractive to specific companies and offers clearer career paths, helping you land targeted roles in niche areas of IT.
Network and Seek Mentorship- (Semester 3-5)
Connect with alumni, industry professionals, and faculty. Attend college-organized career fairs, industry interaction sessions, and alumni meets. Seek guidance on career paths, skill development, and internship opportunities.
Tools & Resources
LinkedIn, Alumni network platforms, College Career Counseling Cell
Career Connection
Networking opens doors to internships and job referrals, provides insights into industry expectations, and offers valuable career advice that can shape your professional journey.
Advanced Stage
Focus on Industrial Internship & Capstone Project- (Semester 7-8)
Secure a relevant industrial internship in Semester 7 to gain real-world experience. For your final year project (Project Phase II & III), choose a challenging problem that aligns with your specialization and industry relevance. Strive for innovative solutions and a high-quality implementation.
Tools & Resources
Company websites, Placement Cell, Industry contacts, Advanced development environments, Project management tools
Career Connection
Internships often lead to pre-placement offers, while a strong capstone project is a significant talking point in interviews, showcasing advanced skills and practical readiness for the industry.
Intensive Placement Preparation- (Semester 7-8)
Begin rigorous preparation for placements by Semester 7. This includes daily coding practice, aptitude tests, technical subject revisions, mock interviews (both technical and HR), and resume building. Understand company-specific requirements and interview patterns.
Tools & Resources
Online assessment platforms, Aptitude test books, Interview preparation guides, College Placement Cell training
Career Connection
Thorough preparation directly translates into higher success rates in campus placements, securing desirable job offers with competitive packages from top Indian IT recruiters.
Develop Leadership & Professional Ethics- (Semester 6-8)
Engage in leadership roles in student organizations or lead project teams. Understand ethical considerations in technology, data privacy, and intellectual property rights. Develop a professional attitude, time management, and teamwork skills.
Tools & Resources
Leadership workshops, Case studies on ethics in IT, Mentorship programs
Career Connection
Beyond technical skills, companies seek professionals with strong ethical values, leadership potential, and the ability to work effectively in teams, which are crucial for career advancement and impactful contributions.
Program Structure and Curriculum
Eligibility:
- Admissions are made in accordance with the rules and regulations of JNTUK, Kakinada, and Government of Andhra Pradesh for B.Tech programs. Typically, successful completion of 10+2 (Intermediate) with Physics, Chemistry, and Mathematics (PCM) is required.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 30% (Theory), 40% (Labs), 50% (Project Work), External: 70% (Theory), 60% (Labs), 50% (Project Work)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20 BS101 | Engineering Physics | Basic Science | 3 | Wave Optics, Lasers and Fiber Optics, Quantum Mechanics, Solid State Physics, Magnetic & Dielectric Properties |
| R20 BS102 | Engineering Chemistry | Basic Science | 3 | Water Technology, Electrochemistry & Batteries, Corrosion & its Control, Polymer Chemistry, Nanomaterials |
| R20 HS101 | English | Humanities & Social Science | 3 | Reading Comprehension, Vocabulary Building, Grammar & Usage, Writing Skills, Oral Presentation |
| R20 BS103 | Engineering Mathematics-I | Basic Science | 3 | Differential Equations, Linear Algebra, Multivariable Calculus, Mean Value Theorems, Applications of Derivatives |
| R20 ES101 | Problem Solving and Programming | Engineering Science | 3 | Introduction to Programming, Control Structures (C), Functions and Arrays, Pointers and Strings, Structures and File I/O |
| R20 BS101L | Engineering Physics Lab | Lab | 1.5 | Optics Experiments, Semiconductor Devices, Wave Phenomena, Magnetic Fields, Material Properties |
| R20 BS102L | Engineering Chemistry Lab | Lab | 1.5 | Volumetric Analysis, Instrumental Methods, Water Analysis, Titrations, pH and Conductivity |
| R20 HS101L | English Language and Communication Skills Lab | Lab | 1.5 | Phonetics & Pronunciation, Role-plays & Group Discussions, Presentations, Interpersonal Skills, Interview Skills |
| R20 ES101L | Problem Solving and Programming Lab | Lab | 1.5 | C Programming Basics, Conditional Statements, Loops & Arrays, Functions & Pointers, File Handling |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20 BS104 | Engineering Mathematics-II | Basic Science | 3 | Integral Calculus, Vector Calculus, Laplace Transforms, Fourier Series, Partial Differential Equations |
| R20 ES102 | Basic Electrical & Electronics Engineering | Engineering Science | 3 | DC & AC Circuits, Semiconductor Devices, Rectifiers & Amplifiers, Digital Electronics Fundamentals, Electrical Machines |
| R20 ES103 | Engineering Graphics & Design | Engineering Science | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Computer-Aided Drafting (CAD), Projection of Solids |
| R20 HS102 | Professional English | Humanities & Social Science | 3 | Technical Writing, Report Writing, Email & Business Correspondence, Presentation Skills, Critical Thinking |
| R20 PC101 | Data Structures | Professional Core | 3 | Arrays & Linked Lists, Stacks & Queues, Trees & Graphs, Searching & Sorting Algorithms, Hashing Techniques |
| R20 ES102L | Basic Electrical & Electronics Engineering Lab | Lab | 1.5 | Circuit Laws (KCL, KVL), Diode Characteristics, Transistor Biasing, Logic Gates, Rectifier Circuits |
| R20 ES103L | IT Workshop | Lab | 1.5 | Hardware Identification, Software Installation, Networking Basics, Productivity Tools (MS Office), Web Search & Information Retrieval |
| R20 PC101L | Data Structures Lab | Lab | 1.5 | Array & Linked List Operations, Stack & Queue Implementation, Tree Traversal Algorithms, Graph Algorithms, Searching & Sorting Programs |
| R20 MC101 | Environmental Science | Mandatory Course | 0 | Ecosystems & Biodiversity, Environmental Pollution, Natural Resources, Social Issues & the Environment, Environmental Protection Acts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20 BS201 | Probability and Statistics | Basic Science | 3 | Probability Distributions, Random Variables, Sampling Distributions, Hypothesis Testing, Correlation & Regression |
| R20 PC201 | Object Oriented Programming Through Java | Professional Core | 3 | Java Fundamentals & OOP Concepts, Inheritance & Polymorphism, Packages & Interfaces, Exception Handling & Multithreading, Collections Framework |
| R20 PC202 | Digital Logic Design | Professional Core | 3 | Number Systems & Codes, Boolean Algebra & Logic Gates, Combinational Circuits, Sequential Circuits (Flip-flops), Registers & Counters |
| R20 PC203 | Computer Organization and Architecture | Professional Core | 3 | Basic Computer Structure, Instruction Set Architecture, CPU Design, Memory System Design, I/O Organization |
| R20 PC204 | Database Management Systems | Professional Core | 3 | Database Concepts & Architecture, ER Model & Relational Model, SQL Queries & Constraints, Normalization, Transaction Management & Concurrency Control |
| R20 PC201L | Object Oriented Programming Through Java Lab | Lab | 1.5 | Classes & Objects in Java, Inheritance & Method Overriding, Polymorphism & Abstraction, Exception Handling & File I/O, GUI Programming (Swing/AWT) |
| R20 PC204L | Database Management Systems Lab | Lab | 1.5 | DDL, DML, DCL Commands, SQL Joins & Subqueries, Functions & Procedures, Trigger Implementation, Database Connectivity (JDBC) |
| R20 ES201L | Digital Logic Design Lab | Lab | 1.5 | Basic Logic Gates Realization, Combinational Circuit Design, Sequential Circuit Implementation, K-Map Simplification, Multiplexers & Demultiplexers |
| R20 MC201 | Universal Human Values | Mandatory Course | 0 | Introduction to Value Education, Understanding Harmony in Self, Harmony in Family & Society, Harmony in Nature & Existence, Ethical Human Conduct |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20 BS202 | Discrete Mathematics | Basic Science | 3 | Set Theory & Logic, Relations & Functions, Algebraic Structures, Graph Theory, Combinatorics & Recurrence Relations |
| R20 PC205 | Operating Systems | Professional Core | 3 | Operating System Structures, Process Management, CPU Scheduling, Memory Management, File Systems & I/O Systems |
| R20 PC206 | Design and Analysis of Algorithms | Professional Core | 3 | Algorithm Analysis (Asymptotic Notations), Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms (DFS, BFS, MST) |
| R20 PC207 | Software Engineering | Professional Core | 3 | Software Process Models, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| R20 PC208 | Computer Networks | Professional Core | 3 | Network Topologies & Models (OSI, TCP/IP), Physical Layer & Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| R20 PC205L | Operating Systems Lab | Lab | 1.5 | Shell Programming, Process & Thread Management, CPU Scheduling Algorithms, Deadlock Avoidance, Memory Management Techniques |
| R20 PC206L | Design and Analysis of Algorithms Lab | Lab | 1.5 | Sorting & Searching Implementations, Graph Traversal, Dynamic Programming Problems, Greedy Algorithms, Backtracking & Branch & Bound |
| R20 PC208L | Computer Networks Lab | Lab | 1.5 | Socket Programming, Network Configuration, Packet Tracing (Wireshark), Routing Protocols Simulation, Client-Server Communication |
| R20 HS201 | Professional Communication Skills | Humanities & Social Science | 2 | Advanced Public Speaking, Interview Preparation, Resume & Cover Letter Writing, Teamwork & Leadership, Cross-cultural Communication |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20 HS301 | Managerial Economics and Financial Analysis | Humanities & Social Science | 3 | Managerial Economics Basics, Demand & Supply Analysis, Cost Analysis & Break-Even Point, Financial Accounting Principles, Capital Budgeting |
| R20 PC301 | Web Technologies | Professional Core | 3 | HTML5 & CSS3, JavaScript Fundamentals, DOM Manipulation & Events, Server-side Scripting (PHP/Node.js concepts), Web Services (REST/SOAP basics) |
| R20 PC302 | Artificial Intelligence | Professional Core | 3 | Introduction to AI, Problem Solving by Searching, Knowledge Representation, Machine Learning Concepts, Natural Language Processing basics |
| R20 PE301 | Professional Elective - I | Professional Elective | 3 | Options: Data Warehousing and Data Mining, Machine Learning, Cloud Computing, Computer Graphics |
| R20 OE301 | Open Elective - I | Open Elective | 3 | |
| R20 PC301L | Web Technologies Lab | Lab | 1.5 | Frontend Web Development (HTML, CSS, JS), Responsive Design, Form Validation, AJAX Integration, Database Connectivity with Web Apps |
| R20 PE301L | Professional Elective - I Lab | Lab | 1.5 | |
| R20 PW301 | Mini Project with Python | Project | 2 | Python Programming Basics, Data Handling in Python, Project Design & Implementation, Version Control, Reporting & Presentation |
| R20 SC301 | Skill Course - I | Skill Course | 2 |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20 HS302 | Organizational Behavior | Humanities & Social Science | 3 | Foundations of Organizational Behavior, Individual Behavior (Perception, Motivation), Group Dynamics & Teamwork, Leadership & Power, Organizational Culture & Change |
| R20 PC303 | Data Science | Professional Core | 3 | Introduction to Data Science, Data Collection & Preprocessing, Exploratory Data Analysis, Statistical Modeling, Introduction to Machine Learning |
| R20 PE302 | Professional Elective - II | Professional Elective | 3 | Options: Deep Learning, Big Data Analytics, Blockchain Technologies, Advanced Computer Architecture |
| R20 PE303 | Professional Elective - III | Professional Elective | 3 | Options: Information Retrieval Systems, Natural Language Processing, Internet of Things, Software Testing Methodologies |
| R20 OE302 | Open Elective - II | Open Elective | 3 | |
| R20 PC303L | Data Science Lab | Lab | 1.5 | Data Manipulation with Pandas, Data Visualization with Matplotlib/Seaborn, Statistical Analysis in Python, Basic Machine Learning Models, Data Cleaning Techniques |
| R20 PW302 | Project Phase - I | Project | 2 | Problem Identification & Literature Survey, Requirement Analysis, System Design, Project Planning, Preliminary Report & Presentation |
| R20 SC302 | Skill Course - II | Skill Course | 2 | |
| R20 MC301 | Constitution of India | Mandatory Course | 0 | Framing of the Constitution, Fundamental Rights & Duties, Directive Principles, Structure & Functions of Government, Constitutional Amendments |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20 HS401 | Entrepreneurship | Humanities & Social Science | 3 | Concept of Entrepreneurship, Business Idea Generation, Business Plan Development, Startup Funding, Marketing & Legal Aspects |
| R20 PE401 | Professional Elective - IV | Professional Elective | 3 | Options: Cyber Security, Augmented Reality & Virtual Reality, Wireless Sensor Networks, Ethical Hacking |
| R20 PE402 | Professional Elective - V | Professional Elective | 3 | Options: Image Processing, Reinforcement Learning, Quantum Computing, Mobile Application Development |
| R20 OE401 | Open Elective - III | Open Elective | 3 | |
| R20 PW401 | Project Phase - II | Project | 4 | System Implementation, Testing & Debugging, Data Analysis, Mid-term Review, Documentation & Interim Report |
| R20 CI401 | Industrial Internship | Internship | 3 | On-the-job Training, Industry Best Practices, Problem Solving in Real-world Scenarios, Professional Networking, Internship Report & Presentation |
| R20 CC401 | Community Service Project | Community Project | 1 | Social Problem Identification, Community Engagement, Project Planning & Execution, Impact Assessment, Service Learning |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| R20 PW402 | Project Phase - III | Project | 10 | Final System Development, Comprehensive Testing, Optimization & Refinement, Final Report Writing, Viva-Voce & Presentation |
| R20 GR401 | Grand Viva | Viva Voce | 2 | Comprehensive Subject Knowledge, Project Understanding, General Technical Aptitude, Communication Skills, Overall Program Learning Outcomes |
