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B-TECH in Information Technology at Ambedkar Institute of Advanced Communication Technologies & Research
Delhi, Delhi
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About the Specialization
What is Information Technology at Ambedkar Institute of Advanced Communication Technologies & Research Delhi?
This Information Technology program at Netaji Subhas University of Technology East Campus focuses on equipping students with a robust foundation in computing, data management, networking, and software development. It addresses the growing demands of India''''s digital economy, emphasizing practical skills and theoretical knowledge essential for navigating the complex IT landscape. The program prepares graduates for innovation and problem-solving in a rapidly evolving technological world.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics, logical reasoning, and a keen interest in technology and software development. It suits individuals aspiring to enter the dynamic Indian IT sector, including roles in software engineering, data science, cybersecurity, and cloud computing. It also benefits those seeking to develop strong analytical and programming skills to drive digital transformation initiatives.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including software developer, data analyst, network engineer, cybersecurity specialist, and cloud architect. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The strong curriculum prepares students for industry certifications like AWS, Azure, and Google Cloud, fostering career growth in leading Indian and global tech firms.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent effort to solidify programming concepts (C, Data Structures). Practice coding daily on platforms like HackerRank or LeetCode to build problem-solving muscle. Understand underlying algorithms, not just syntax.
Tools & Resources
CodeChef, GeeksforGeeks, Online C/C++ tutorials
Career Connection
Strong fundamentals are the bedrock for all IT roles, especially for cracking coding rounds in placements.
Engage in Peer Learning & Doubt Clearing- (Semester 1-2)
Form study groups with peers to discuss complex topics, share insights, and collectively solve problems. Actively participate in class, ask questions, and utilize faculty office hours for deeper understanding.
Tools & Resources
Classmates, Faculty, Stack Overflow
Career Connection
Develops communication skills, teamwork, and helps clarify concepts crucial for advanced subjects and project work.
Explore Basics of Digital Technologies- (Semester 1-2)
Beyond academics, explore current technology trends by reading tech blogs, attending introductory webinars on AI/ML or cloud computing. Develop a small personal project (e.g., a simple web page, a C-based game) to apply learned concepts.
Tools & Resources
TechCrunch, Medium, Introductory Coursera/edX courses
Career Connection
Fosters early interest and awareness of industry directions, making future specialization choices informed and relevant.
Intermediate Stage
Build a Strong Project Portfolio- (Semester 3-5)
Actively participate in departmental minor projects and develop personal projects using learned technologies (OOP, DBMS, OS, Web Engineering). Focus on applying theoretical knowledge to create functional applications.
Tools & Resources
GitHub, VS Code, MySQL, PostgreSQL
Career Connection
A strong project portfolio is vital for internships and placements, demonstrating practical skills and problem-solving abilities to recruiters.
Participate in Hackathons & Technical Competitions- (Semester 3-5)
Engage in university-level or inter-college hackathons and coding competitions. This provides intense practical experience, exposure to real-world problem statements, and networking opportunities.
Tools & Resources
Devfolio, Major League Hacking (MLH), Company-sponsored hackathons
Career Connection
Enhances problem-solving under pressure, develops teamwork, and adds impressive achievements to resumes, making candidates stand out for tech roles.
Initiate Industry Exposure via Internships/Workshops- (Semester 4-5)
Seek out short-term internships, summer training, or workshops in relevant IT domains like software development, data analytics, or cybersecurity. Even small projects with local startups can provide valuable exposure.
Tools & Resources
LinkedIn, Internshala, College career fair
Career Connection
Provides first-hand industry experience, clarifies career interests, builds professional networks, and significantly boosts placement chances.
Advanced Stage
Specialize and Deepen Technical Skills- (Semester 6-8)
Focus on chosen electives (e.g., Deep Learning, Cloud Computing, Cybersecurity) and pursue advanced certifications. Undertake comprehensive major projects aligned with your specialization interest to demonstrate expertise.
Tools & Resources
Coursera/edX for advanced courses, Official certification guides (AWS, Azure, Google Cloud), Kaggle
Career Connection
Deep specialization is critical for securing roles in niche areas of IT and achieving higher salary packages, preparing for advanced engineering or research positions.
Intensive Placement Preparation & Networking- (Semester 6-8)
Dedicate time to rigorous interview preparation, including mock interviews, behavioral questions, and advanced data structures and algorithms (DSA) practice. Network with alumni and industry professionals on platforms like LinkedIn.
Tools & Resources
LeetCode premium, InterviewBit, LinkedIn, NSUT alumni network
Career Connection
Directly impacts successful placement in top-tier companies, securing desired job roles, and building a professional network for future career growth.
Contribute to Open Source Projects/Research- (Semester 7-8)
Contribute to open-source projects or engage in research under faculty guidance. This demonstrates advanced coding skills, collaboration ability, and a proactive approach to learning beyond the curriculum.
Tools & Resources
GitHub, GitLab, Faculty research labs
Career Connection
Showcases innovation, problem-solving, and a commitment to continuous learning, highly valued by top tech companies and for pursuing higher studies or R&D roles.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of Chemistry/Biotechnology/Biology/Technical Vocational subject, with at least 60% marks in the above subjects taken together. Minimum 60% aggregate in PCM/PCMB. Rank in JEE (Main) Paper-1.
Duration: 8 semesters / 4 years
Credits: 180 Credits
Assessment: Internal: Assessment pattern involves Mid Term Examination (MTE), Sessional marks, and Practical marks., External: Assessment pattern involves End Term Examination (ETE). Specific weightage for internal and external components is detailed for each subject in the syllabus document.
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS101 | Applied Mathematics-I | Core | 4 | Matrices, Differential Calculus, Integral Calculus, Ordinary Differential Equations, Multivariable Calculus |
| BS103 | Applied Physics-I | Core | 4 | Wave Optics, Laser, Fibre Optics, Quantum Mechanics, Solid State Physics |
| MC101 | Environmental Science | Core | 2 | Ecosystem, Biodiversity, Environmental Pollution, Social Issues, Human Population |
| ETCS101 | Programming in C | Core | 4 | C Language Fundamentals, Control Statements, Functions, Arrays, Pointers, Structures |
| ETEC101 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Three Phase Systems, Transformers, Electrical Machines |
| BS153 | Applied Physics Lab-I | Lab | 1 | Experiments on Optics, Electricity, Semiconductor devices, Basic measurements |
| ETCS151 | Programming in C Lab | Lab | 1 | C Programming exercises, Problem solving using C |
| ETEC151 | Basic Electrical Engineering Lab | Lab | 1 | Experiments on DC/AC circuits, Electrical measurements, Transformers |
| ETME151 | Engineering Graphics | Lab | 1 | Orthographic Projections, Isometric Projections, Sectional Views, CAD basics |
| ETME153 | Workshop Practice | Lab | 1 | Carpentry, Welding, Fitting, Sheet Metal, Machining processes |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS102 | Applied Mathematics-II | Core | 4 | Complex Numbers, Laplace Transforms, Fourier Series, Partial Differential Equations, Vector Calculus |
| BS104 | Applied Physics-II | Core | 4 | Dielectric Materials, Magnetic Materials, Superconductivity, Nanomaterials, X-rays |
| HS101 | Professional Communication | Core | 3 | English Grammar, Writing Skills, Presentation Skills, Group Discussion, Interview Techniques |
| ETCS102 | Data Structures | Core | 4 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting, Searching |
| ETEC102 | Introduction to Digital Electronics | Core | 4 | Number Systems, Logic Gates, Boolean Algebra, Combinational Circuits, Sequential Circuits |
| BS154 | Applied Physics Lab-II | Lab | 1 | Experiments on Semiconductor devices, Magnetic properties, Optical phenomena |
| ETCS152 | Data Structures Lab | Lab | 1 | Implementation of Data Structures, Algorithm analysis |
| ETEC152 | Introduction to Digital Electronics Lab | Lab | 1 | Digital ICs, Logic circuit design, Combinational and Sequential circuits |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BS201 | Applied Mathematics-III | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Regression, Correlation |
| ETCS201 | Object Oriented Programming | Core | 4 | OOP Concepts, Classes and Objects, Inheritance, Polymorphism, Exception Handling, Templates |
| ETCS203 | Computer Organization and Architecture | Core | 4 | Computer Components, CPU, Memory Hierarchy, I/O Organization, Instruction Sets, Pipelining |
| ETIT201 | Database Management Systems | Core | 4 | Database Concepts, ER Model, Relational Model, SQL, Normalization, Transaction Management |
| ETIT203 | Operating Systems | Core | 4 | OS Concepts, Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks |
| ETCS251 | Object Oriented Programming Lab | Lab | 1 | OOP implementation in C++/Java, Problem solving |
| ETIT251 | Database Management Systems Lab | Lab | 1 | SQL queries, Database design, PL/SQL |
| ETIT253 | Operating Systems Lab | Lab | 1 | Linux commands, Shell scripting, System calls, Process/thread management |
| HS201 | Professional Ethics & Human Values | Core | 1 | Ethics in Engineering, Moral Dilemmas, Professionalism, Human Values, Corporate Social Responsibility |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ETCS202 | Discrete Structures | Core | 4 | Set Theory, Relations, Functions, Propositional Logic, Graph Theory, Combinatorics, Algebraic Structures |
| ETCS204 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis, Asymptotic Notations, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| ETIT202 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Design, Testing, Maintenance, Project Management |
| ETIT204 | Computer Networks | Core | 4 | Network Topologies, OSI/TCP-IP Models, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| ETIT206 | Web Engineering | Core | 4 | HTML, CSS, JavaScript, Web Servers, Client-Server Architecture, Web Security, Web Services |
| ETCS252 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of algorithms, Performance analysis |
| ETIT252 | Software Engineering Lab | Lab | 1 | Software design tools, Project management tools, Testing |
| ETIT254 | Computer Networks Lab | Lab | 1 | Network configuration, Socket programming, Protocol implementation |
| ETIT256 | Web Engineering Lab | Lab | 1 | Web page development, Server-side scripting, Database integration |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ETCS301 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Decidability |
| ETIT301 | Artificial Intelligence | Core | 4 | AI Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| ETIT303 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Deep Learning Introduction |
| ETIT305 | Information Security | Core | 4 | Cryptography, Network Security, Access Control, Cyber Laws, Security Policies, Malicious Software |
| ETIT307 | Cloud Computing (Department Elective-1 Example) | Elective | 4 | Cloud Architecture, Virtualization, Cloud Services (IaaS, PaaS, SaaS), Cloud Security, Deployment Models |
| ETIT351 | Artificial Intelligence Lab | Lab | 1 | AI problem solving using Python, Search algorithms |
| ETIT353 | Machine Learning Lab | Lab | 1 | ML algorithm implementation, Data preprocessing, Model evaluation |
| ETIT355 | Information Security Lab | Lab | 1 | Cryptographic algorithms, Network security tools, Vulnerability assessment |
| ETIT361 | Minor Project-I | Project | 2 | Project planning, Design, Implementation, Documentation, Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ETCS302 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| ETIT308 | Big Data Analytics (Department Elective-2 Example) | Elective | 4 | Big Data Technologies (Hadoop, Spark), Data Storage, Data Processing, Data Visualization, Case Studies |
| ETIT320 | Block Chain Technology (Department Elective-3 Example) | Elective | 4 | Cryptographic Hash, Distributed Ledgers, Consensus Mechanisms, Smart Contracts, Blockchain Platforms |
| ITOE303 | Internet of Things (Open Elective-1 Example) | Elective | 4 | IoT Architecture, Sensors and Actuators, Communication Protocols, Data Analytics, IoT Security, Applications |
| ETCS352 | Compiler Design Lab | Lab | 1 | Lexical Analyzer implementation, Parser implementation |
| ETIT358 | Big Data Analytics Lab (Department Elective Lab-2 Example) | Lab | 1 | Hadoop ecosystem tools, Spark programming, Data processing |
| ETIT370 | Block Chain Technology Lab (Department Elective Lab-3 Example) | Lab | 1 | Blockchain platform setup, Smart contract development, DApp creation |
| ETIT362 | Seminar & Industrial Training | Project/Training | 2 | Technical seminar, Industrial training report, Presentation skills |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ETIT401 | Deep Learning (Department Elective-4 Example) | Elective | 4 | Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Optimization, Applications |
| ETIT409 | Quantum Computing (Department Elective-5 Example) | Elective | 4 | Quantum Mechanics Basics, Qubits, Quantum Gates, Quantum Algorithms, Quantum Cryptography |
| ITOE401 | Machine Learning (Open Elective-2 Example) | Elective | 4 | Supervised Learning, Unsupervised Learning, Regression, Classification, Clustering, Model Evaluation |
| ETIT451 | Deep Learning Lab (Department Elective Lab-4 Example) | Lab | 1 | Deep learning framework implementation (TensorFlow/PyTorch), Model training, Evaluation |
| ETIT459 | Quantum Computing Lab (Department Elective Lab-5 Example) | Lab | 1 | Quantum circuit simulation, Qubit manipulation, Quantum algorithm implementation |
| ETIT461 | Minor Project-II / Internship | Project/Internship | 6 | Advanced project work, Industry internship experience, Report writing, Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ETIT462 | Major Project | Project | 12 | Comprehensive project, Research, Design, Development, Testing, Documentation, Defense |
| ETIT408 | Digital Twins (Department Elective-6 Example) | Elective | 6 | Digital Twin Concepts, Modeling and Simulation, Data Integration, IoT and Digital Twins, Applications |
