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B-TECH in Information Technology at Guru Nanak Dev Engineering College
Ludhiana, Punjab
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About the Specialization
What is Information Technology at Guru Nanak Dev Engineering College Ludhiana?
This Information Technology program at Guru Nanak Dev Engineering College focuses on equipping students with expertise in cutting-edge computing technologies. It is designed to meet the evolving demands of the Indian IT industry, emphasizing software development, data management, networking, and emerging fields like AI and IoT. The curriculum integrates theoretical knowledge with practical skills, preparing graduates for diverse roles in the tech sector.
Who Should Apply?
This program is ideal for 10+2 graduates with a strong aptitude for mathematics and problem-solving, aspiring to build a career in software engineering, data analytics, cybersecurity, or cloud computing. It also caters to those keen on understanding the digital transformation landscape and contributing to India''''s burgeoning technology ecosystem with a solid engineering foundation.
Why Choose This Course?
Graduates of this program can expect to pursue lucrative career paths as Software Developers, Data Scientists, Network Engineers, or Cybersecurity Analysts in India. Entry-level salaries typically range from INR 4-7 LPA, with significant growth potential up to INR 15-25+ LPA for experienced professionals. The curriculum often aligns with industry-recognized certifications, enhancing employability in top Indian and multinational companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to mastering C programming and data structures. Consistent practice on online coding platforms and participating in competitive programming challenges will solidify foundational logic and problem-solving skills, crucial for all subsequent IT courses.
Tools & Resources
GeeksforGeeks, HackerRank, CodeChef, NPTEL courses on Programming
Career Connection
Strong programming fundamentals are the bedrock for any software development role and are heavily tested in technical interviews for placements.
Build a Strong Academic Network- (Semester 1-2)
Engage actively with faculty during office hours and collaborate with peers on assignments and lab work. Form study groups to discuss complex topics and help each other understand core concepts. This fosters a supportive learning environment and shared knowledge.
Tools & Resources
Departmental seminars, Student clubs (e.g., coding, tech societies)
Career Connection
Networking skills are vital for future collaborations, mentorship, and discovering opportunities, both academic and professional.
Explore Basic IT Concepts Beyond Syllabus- (Semester 1-2)
Read tech blogs, watch introductory videos on topics like web development, cybersecurity, or AI. Attend college workshops or basic online courses to gain a broader perspective and identify areas of interest early on, guiding future specialization choices.
Tools & Resources
YouTube channels (Traversy Media), FreeCodeCamp, Coursera/edX introductory courses
Career Connection
Early exposure helps identify passions and niche areas, which can be cultivated into impactful projects and a focused career path.
Intermediate Stage
Undertake Mini-Projects and Internships- (Semester 3-5)
Apply theoretical knowledge by developing small-scale projects using learned technologies (e.g., a simple web app, a database management system, an OS simulator). Seek out summer internships to gain practical industry exposure and understand professional workflows.
Tools & Resources
GitHub, VS Code, Local industry contacts, College placement cell
Career Connection
Practical projects and internships are highly valued by recruiters, showcasing applied skills and problem-solving abilities, leading to better placement opportunities.
Participate in Technical Competitions- (Semester 3-5)
Actively participate in hackathons, coding contests, and tech fests organized by the college or other institutions. These provide hands-on experience, foster teamwork, and challenge problem-solving skills under pressure, building a competitive portfolio.
Tools & Resources
Major hackathon platforms (Devpost, MLH), College tech clubs
Career Connection
Winning or even participating in such events demonstrates initiative, technical prowess, and resilience, which are attractive to potential employers.
Specialize and Acquire Certifications- (Semester 3-5)
Once areas of interest like AI, Cybersecurity, or Cloud Computing are identified, delve deeper through specialized online courses and aim for industry certifications (e.g., AWS Cloud Practitioner, Google AI Engineer). This adds tangible proof of expertise.
Tools & Resources
Coursera, Udemy, Pluralsight, Official vendor certification sites (AWS, Microsoft Azure)
Career Connection
Specialized certifications validate skills, making graduates highly desirable for niche roles and potentially higher starting salaries in the Indian job market.
Advanced Stage
Engage in Capstone/Major Projects- (Semester 6-8)
Work diligently on the Major Project, choosing a topic relevant to current industry trends or a problem faced by a local business. Focus on delivering a robust solution, documenting thoroughly, and practicing technical presentations for various audiences.
Tools & Resources
Research papers (IEEE, ACM), Mentorship from faculty and industry experts, Project management tools
Career Connection
A well-executed major project serves as a powerful portfolio piece, demonstrating end-to-end development capabilities and often leading to direct job offers or startup opportunities.
Intensive Placement Preparation- (Semester 6-8)
Begin rigorous preparation for placements including aptitude tests, mock technical interviews, and HR interview practices. Regularly update resumes, craft compelling cover letters, and research target companies specific to the Indian context and their hiring processes.
Tools & Resources
Placement cell workshops, Mock interview platforms, Company-specific interview guides on Glassdoor/LinkedIn
Career Connection
Thorough preparation directly correlates to successful placements, securing roles in desired companies and fields.
Develop Soft Skills and Professional Presence- (Semester 6-8)
Actively participate in seminars, workshops on communication, leadership, and teamwork. Cultivate a strong online professional presence through platforms like LinkedIn, showcasing projects and skills. Attend industry conferences to network and stay abreast of innovations.
Tools & Resources
Toastmasters clubs, LinkedIn Learning, Industry events and tech meetups
Career Connection
Beyond technical skills, strong soft skills and professional networking are critical for career growth, leadership roles, and navigating the corporate landscape in India.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Mathematics, and one of Chemistry/Biology/Biotechnology/Technical Vocational subject, with minimum 45% marks (40% for SC/ST), as per Punjab Govt./IKGPTU guidelines.
Duration: 4 years / 8 semesters
Credits: 172 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTAM101-22 | Engineering Mathematics-I | Basic Science Course (BSC) | 4 | Matrices and its applications, Differential Calculus, Sequences and Series, Integral Calculus, Ordinary Differential Equations |
| BTPH101-22 | Engineering Physics | Basic Science Course (BSC) | 4 | Wave Optics, Lasers and Fiber Optics, Quantum Mechanics, X-Rays and Crystallography, Dielectric and Magnetic Materials |
| BTCS101-22 | Programming for Problem Solving | Engineering Science Course (ESC) | 3 | Introduction to Programming, C Language Fundamentals, Control Structures, Functions and Modules, Arrays and Pointers |
| BTME101-22 | Manufacturing Processes | Engineering Science Course (ESC) | 3 | Metal Casting Processes, Joining Processes (Welding), Sheet Metal Operations, Bulk Deformation Processes, Powder Metallurgy and Ceramics |
| BTHU101-22 | English I | Humanities & Social Science including Management Course (HSMC) | 2 | English Grammar and Vocabulary, Reading Comprehension, Paragraph and Essay Writing, Presentation Skills, Group Discussions |
| BTPH102-22 | Engineering Physics Lab | Basic Science Course (BSC) | 1.5 | Wave optics experiments, Laser characteristics, Semiconductor device properties, Magnetic field measurements, Electrical circuit analysis |
| BTCS102-22 | Programming for Problem Solving Lab | Engineering Science Course (ESC) | 2 | C programming exercises, Conditional statements and loops, Function implementation, Array and string manipulation, Basic algorithm design |
| BTME102-22 | Manufacturing Practices Lab | Engineering Science Course (ESC) | 1.5 | Fitting shop operations, Carpentry tools and joints, Welding techniques, Foundry processes, Machine shop practices |
| BTAR101-22 | Engineering Graphics & Design | Engineering Science Course (ESC) | 3 | Introduction to Engineering Drawing, Orthographic Projections, Isometric Projections, Sectional Views and Conventions, Introduction to CAD Software |
| BTPY101-22 | Human Values | Mandatory Course (MC) | 0 | Self-exploration and well-being, Understanding human relationships, Harmony in society, Ethical conduct, Holistic development |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTAM102-22 | Engineering Mathematics-II | Basic Science Course (BSC) | 4 | Multivariable Calculus, Vector Calculus, Fourier Series and Transforms, Laplace Transform, Partial Differential Equations |
| BTCH101-22 | Engineering Chemistry | Basic Science Course (BSC) | 4 | Water and its treatment, Corrosion and its control, Fuels and Combustion, Polymers and Composites, Instrumental Methods of Analysis |
| BTCS103-22 | Data Structures | Professional Core Course (PCC) | 3 | Introduction to Data Structures, Arrays, Pointers, and Structures, Stacks and Queues, Linked Lists, Trees and Graphs |
| BTEE101-22 | Basic Electrical Engineering | Engineering Science Course (ESC) | 4 | DC and AC Circuits, Three-Phase AC Systems, Transformers, Electrical Machines (DC and AC), Measuring Instruments |
| BTEN101-22 | Environmental Science | Mandatory Course (MC) | 0 | Natural Resources and Energy, Ecosystems and Biodiversity, Environmental Pollution, Climate Change and Global Warming, Environmental Protection and Legislation |
| BTCH102-22 | Engineering Chemistry Lab | Basic Science Course (BSC) | 1.5 | Volumetric analysis, Instrumental analysis techniques, Water quality parameters, pH metry and conductometry, Preparation of polymers |
| BTCS104-22 | Data Structures Lab | Professional Core Course (PCC) | 2 | Implementation of arrays and structures, Stack and Queue operations, Linked list manipulations, Tree traversal algorithms, Graph representation and algorithms |
| BTEE102-22 | Basic Electrical Engineering Lab | Engineering Science Course (ESC) | 1.5 | Verification of circuit laws, Measurement of electrical quantities, Study of transformers, Motor and generator characteristics, Household wiring practices |
| BTCS105-22 | IT Workshop | Engineering Science Course (ESC) | 2 | Introduction to Operating Systems, Office productivity tools, Networking basics, Internet and web browsing, Hardware assembly and troubleshooting |
| BTHU102-22 | English-II | Humanities & Social Science including Management Course (HSMC) | 2 | Advanced Grammar and Usage, Technical Report Writing, Official Communication, Resume and Cover Letter Writing, Interview Preparation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT301-22 | Discrete Structures | Professional Core Course (PCC) | 4 | Set Theory, Relations, Functions, Propositional and Predicate Logic, Graph Theory, Counting and Probability, Algebraic Structures |
| BTIT302-22 | Computer Organization & Architecture | Professional Core Course (PCC) | 4 | Basic Computer Structure, CPU Design and Instruction Set, Memory System Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| BTIT303-22 | Object Oriented Programming | Professional Core Course (PCC) | 3 | OOP Concepts (Encapsulation, Abstraction), Classes, Objects, and Methods, Inheritance and Polymorphism, Exception Handling, File Input/Output |
| BTIT304-22 | Operating Systems | Professional Core Course (PCC) | 3 | Introduction to Operating Systems, Process Management and Scheduling, Deadlocks, Memory Management, File Systems and I/O |
| BTIT305-22 | Object Oriented Programming Lab | Professional Core Course (PCC) | 2 | Implementation of classes and objects, Overloading and overriding concepts, Inheritance and polymorphism examples, Exception handling mechanisms, GUI programming basics |
| BTIT306-22 | Operating Systems Lab | Professional Core Course (PCC) | 2 | Linux/Unix commands and scripting, Process creation and management, CPU scheduling algorithms simulation, Memory allocation strategies, Synchronization problems implementation |
| BTHU301-22 | Universal Human Values 2: Understanding Harmony | Humanities & Social Science including Management Course (HSMC) | 3 | Self-exploration and existence, Harmony in family and society, Relationship with nature, Professional ethics and conduct, Holistic development |
| BTMC301-22 | Constitution of India | Mandatory Course (MC) | 0 | Historical background of Indian Constitution, Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Government Structure, Constitutional amendments |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT401-22 | Database Management Systems | Professional Core Course (PCC) | 4 | Introduction to DBMS and Data Models, Entity-Relationship (ER) Model, Relational Model and Algebra, Structured Query Language (SQL), Normalization and Transaction Management |
| BTIT402-22 | Design and Analysis of Algorithms | Professional Core Course (PCC) | 4 | Algorithm Analysis and Complexity, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms and NP-Completeness |
| BTIT403-22 | Computer Networks | Professional Core Course (PCC) | 3 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer Protocols, Transport Layer Services, Application Layer Protocols |
| BTIT404-22 | Web Technologies | Professional Core Course (PCC) | 3 | HTML and CSS for Web Design, Client-side Scripting (JavaScript), XML and AJAX, Web Servers and Databases, Server-side Scripting (e.g., PHP, ASP.NET) |
| BTIT405-22 | Database Management Systems Lab | Professional Core Course (PCC) | 2 | SQL query practice, Database schema creation, Data manipulation using SQL, Stored procedures and triggers, Database connectivity with programming languages |
| BTIT406-22 | Design and Analysis of Algorithms Lab | Professional Core Course (PCC) | 2 | Implementation of sorting and searching algorithms, Greedy and dynamic programming solutions, Graph traversal algorithms, Time complexity analysis for programs, Algorithm efficiency comparison |
| BTIT407-22 | Computer Networks Lab | Professional Core Course (PCC) | 2 | Network configuration and troubleshooting, Socket programming, Packet sniffing and analysis, Network simulation tools, Client-server communication |
| BTIT408-22 | Web Technologies Lab | Professional Core Course (PCC) | 2 | HTML5 and CSS3 webpage development, JavaScript for interactive web elements, Form validation and AJAX, Integrating databases with web applications, Deployment of web projects |
| BTMC401-22 | Essence of Indian Knowledge Tradition | Mandatory Course (MC) | 0 | Introduction to Indian knowledge systems, Vedas and Upanishads, Indian philosophy and logic, Contributions to science and mathematics, Yoga and Ayurveda |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT501-22 | Software Engineering | Professional Core Course (PCC) | 3 | Software Life Cycle Models, Requirement Engineering, Software Design Principles, Software Testing Techniques, Software Project Management |
| BTIT502-22 | Theory of Computation | Professional Core Course (PCC) | 4 | Finite Automata and Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Computability, Undecidability and Complexity Classes |
| BTIT503-22 | Machine Learning | Professional Core Course (PCC) | 3 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Reinforcement Learning basics, Model Evaluation and Hyperparameter Tuning |
| BTIT504-22 | Software Engineering Lab | Professional Core Course (PCC) | 2 | UML diagrams for system design, Requirement elicitation and analysis, Software testing methodologies, Version control systems, Project planning tools |
| BTIT505-22 | Machine Learning Lab | Professional Core Course (PCC) | 2 | Implementing supervised learning algorithms, Unsupervised learning techniques, Data preprocessing and feature engineering, Using Python libraries (Scikit-learn, Pandas), Model evaluation and visualization |
| BTIT506-22 | Industrial Training I | Training (TRG) | 2 | Industry problem exposure, Application of theoretical knowledge, Professional work environment experience, Technical report writing, Presentation of learning outcomes |
| BTOE5XX-22 | Open Elective - I | Open Elective Course (OEC) | 3 | |
| BTHE5XX-22 | Professional Elective - I (Example: Cloud Computing) | Professional Elective Course (PEC) | 3 | Introduction to Cloud Computing, Virtualization Technologies, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Cloud Security and Management |
| BTMC501-22 | Pedagogy Studies | Mandatory Course (MC) | 0 | Learning theories and principles, Instructional design strategies, Assessment and evaluation methods, Classroom management techniques, Educational technology integration |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTIT601-22 | Artificial Intelligence | Professional Core Course (PCC) | 3 | Introduction to AI and Intelligent Agents, Problem-solving by Search, Knowledge Representation and Reasoning, Machine Learning Fundamentals, Natural Language Processing basics |
| BTIT602-22 | Computer Graphics | Professional Core Course (PCC) | 3 | Graphics Primitives and Rasterization, 2D and 3D Transformations, Viewing and Projection, Clipping and Hidden Surface Removal, Shading, Illumination, and Color Models |
| BTIT603-22 | Compiler Design | Professional Core Course (PCC) | 3 | Introduction to Compilers, Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis and Type Checking, Intermediate Code Generation and Optimization |
| BTIT604-22 | Artificial Intelligence Lab | Professional Core Course (PCC) | 2 | Implementing search algorithms (BFS, DFS), Constraint satisfaction problems, Logic programming using Prolog, Machine learning algorithms with Python, Natural language processing tasks |
| BTIT605-22 | Computer Graphics Lab | Professional Core Course (PCC) | 2 | Basic graphics programming with OpenGL/C++, Drawing primitives and shapes, Implementing 2D/3D transformations, Clipping algorithms, Creating simple animations |
| BTIT606-22 | Minor Project | Project (PROJ) | 4 | Project problem identification, System design and architecture, Implementation and testing, Project documentation, Presentation and demonstration |
| BTOE6XX-22 | Open Elective - II | Open Elective Course (OEC) | 3 | |
| BTHE6XX-22 | Professional Elective - II (Example: Internet of Things) | Professional Elective Course (PEC) | 3 | Introduction to IoT Ecosystem, IoT Architecture and Protocols, Sensors, Actuators, and Devices, IoT Data Analytics, IoT Security and Applications |
| BTMC601-22 | Professional Ethics | Mandatory Course (MC) | 0 | Ethical theories and frameworks, Professionalism and responsibilities, Engineering ethics, Cyber ethics and privacy, Intellectual property rights |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTHE7XX-22 | Professional Elective - III (Example: Deep Learning) | Professional Elective Course (PEC) | 3 | Introduction to Deep Learning, Artificial Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks (TensorFlow, PyTorch) |
| BTHE7XX-22 | Professional Elective - IV (Example: Ethical Hacking) | Professional Elective Course (PEC) | 3 | Introduction to Ethical Hacking, Footprinting and Reconnaissance, Scanning and Enumeration, System Hacking and Malware, Web Application Hacking |
| BTOE7XX-22 | Open Elective - III | Open Elective Course (OEC) | 3 | |
| BTIT701-22 | Industrial Training II / Minor Project | Training (TRG)/Project (PROJ) | 4 | Advanced industry experience/project development, Problem-solving in real-world scenarios, Report writing and documentation, Skill enhancement and application, Presentation of outcomes |
| BTIT702-22 | Major Project-I | Project (PROJ) | 4 | Problem Identification and Scope Definition, Literature Review and Feasibility Study, Project Proposal and Planning, Initial System Design, Proof of Concept Development |
| BTIT703-22 | Seminar | Professional Core Course (PCC) | 1 | Technical topic selection, In-depth literature review, Effective presentation skills, Audience engagement techniques, Question and answer handling |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTHE8XX-22 | Professional Elective - V (Example: Data Science) | Professional Elective Course (PEC) | 3 | Introduction to Data Science, Data Preprocessing and Cleaning, Exploratory Data Analysis, Statistical Methods for Data Analysis, Predictive Modeling and Data Visualization |
| BTHE8XX-22 | Professional Elective - VI (Example: Cyber Forensics) | Professional Elective Course (PEC) | 3 | Introduction to Cyber Forensics, Digital Evidence Collection and Preservation, Forensic Analysis Techniques, Network Forensics, Legal Aspects of Cybercrime |
| BTIT801-22 | Major Project-II | Project (PROJ) | 10 | Advanced system implementation, Extensive testing and validation, Performance analysis and optimization, Comprehensive project report, Final presentation and viva-voce |
| BTIT802-22 | Startup/Entrepreneurship/Nurturing | Training (TRG)/Project (PROJ) | 2 | Business idea generation, Market research and analysis, Business model development, Prototyping and MVP creation, Pitch deck and funding strategies |
