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B-TECH in Computer Engineering at Dr. D. Y. Patil Vidyapeeth, Pune
Pune, Maharashtra
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About the Specialization
What is Computer Engineering at Dr. D. Y. Patil Vidyapeeth, Pune Pune?
This Computer Engineering program at Dr. D. Y. Patil Vidyapeeth, Pune focuses on equipping students with a robust foundation in computing principles and advanced applications. It integrates theoretical knowledge with practical skills essential for the rapidly evolving Indian IT landscape, emphasizing areas like Artificial Intelligence, Machine Learning, Data Science, and Cybersecurity. The program is designed to foster innovation and critical thinking, preparing graduates for key roles in technology development and research in India.
Who Should Apply?
This program is ideal for ambitious 10+2 graduates with a strong aptitude for mathematics and problem-solving, seeking entry into the dynamic field of information technology. It also caters to individuals passionate about developing cutting-edge software and hardware solutions. Furthermore, it can attract working professionals aiming to upskill in emerging technologies or career changers looking to transition into core engineering roles within India''''s booming tech sector, provided they meet the foundational prerequisites.
Why Choose This Course?
Graduates of this program can expect to pursue diverse career paths in India as Software Developers, Data Scientists, AI/ML Engineers, Cybersecurity Analysts, Cloud Architects, and Network Administrators. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning INR 15-30 LPA or more in leading Indian and multinational companies. The curriculum aligns with industry demand, preparing students for professional certifications and advanced studies, contributing to India''''s digital transformation.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to thoroughly understand programming concepts in C and Data Structures. Practice coding problems daily on platforms like HackerRank, CodeChef, and GeeksforGeeks to build strong logical thinking and problem-solving abilities, which are crucial for subsequent semesters.
Tools & Resources
CodeChef, GeeksforGeeks, HackerRank, local coding clubs
Career Connection
A solid foundation in programming is essential for cracking technical interviews for product and service-based companies and forms the base for all advanced computer science roles.
Cultivate Strong Academic Habits- (Semester 1-2)
Actively participate in lectures, review concepts regularly, and form study groups with peers. Focus on building a strong grasp of Engineering Mathematics and foundational engineering subjects, as they underpin later specialized courses. Utilize university library resources and academic support.
Tools & Resources
University library, study groups, faculty office hours, online tutorial videos
Career Connection
Good academic performance and a strong understanding of basics contribute to higher CGPA, opening doors for internships and further academic pursuits.
Explore Emerging Technologies Early- (Semester 1-2)
Beyond the syllabus, engage in introductory online courses or workshops on trending topics like basic web development, mobile app development, or introductory AI/ML concepts. This early exposure helps in identifying areas of interest for future specialization and projects.
Tools & Resources
NPTEL, Coursera, Udemy, local tech communities, department workshops
Career Connection
Early exposure helps in making informed decisions about specialization, building a relevant skill portfolio, and gaining an edge in hackathons and project competitions.
Intermediate Stage
Build Practical Projects and Portfolio- (Semester 3-5)
Apply theoretical knowledge gained in OOP, DBMS, OS, and Computer Networks by working on substantial mini-projects. Contribute to open-source projects or start personal projects to demonstrate practical skills. These projects form a crucial part of your resume for internships.
Tools & Resources
GitHub, GitLab, VS Code, project management tools
Career Connection
A strong project portfolio is vital for showcasing practical application skills to recruiters and securing internships at technology companies.
Seek Industry Exposure through Internships/Workshops- (Semester 3-5)
Actively search for and pursue internships during semester breaks, even if unpaid initially, to gain real-world industry experience. Attend workshops and seminars organized by industry experts within the campus or at local tech events.
Tools & Resources
LinkedIn, Internshala, college placement cell, industry event calendars
Career Connection
Internships provide invaluable hands-on experience, networking opportunities, and often lead to pre-placement offers, significantly boosting career prospects.
Specialize and Participate in Tech Competitions- (Semester 3-5)
Start identifying a specialization area (e.g., AI/ML, Cybersecurity, Data Science) based on electives and personal interest. Participate in hackathons, coding contests, and technical paper presentations to test skills and gain recognition.
Tools & Resources
Kaggle, Google Summer of Code, national/international hackathon platforms, university research labs
Career Connection
Specialization and competition success demonstrate expertise and problem-solving abilities, highly valued by employers, leading to niche roles and better job opportunities.
Advanced Stage
Focus on Placement Preparation and Interview Skills- (Semester 6-8)
Intensify preparation for technical interviews, focusing on Data Structures & Algorithms, System Design, and behavioral aspects. Practice mock interviews with peers and mentors. Polish your resume and LinkedIn profile.
Tools & Resources
LeetCode, InterviewBit, company-specific interview prep guides, college placement cell workshops
Career Connection
Thorough preparation is paramount for securing desirable placements in leading Indian and multinational IT companies and for negotiating competitive salary packages.
Undertake a High-Impact Final Year Project- (Semester 7-8)
Choose a challenging and innovative final year project, preferably with real-world application or research potential. Collaborate with faculty or industry mentors. Aim for a publishable paper or a deployable product to showcase deep technical expertise.
Tools & Resources
Academic research papers, industry problem statements, faculty expertise, advanced development platforms
Career Connection
A significant final year project distinguishes candidates, demonstrates advanced problem-solving, and can be a strong talking point in interviews, leading to better roles or entrepreneurial ventures.
Cultivate Professional Network & Mentorship- (Semester 6-8)
Network with alumni, industry professionals, and faculty. Seek mentorship to guide career decisions, explore job opportunities, and understand industry trends. Attend professional conferences and build meaningful connections.
Tools & Resources
LinkedIn, alumni network, professional associations (e.g., IEEE, ACM student chapters), industry conferences
Career Connection
A strong professional network is invaluable for career growth, uncovering hidden job opportunities, and gaining insights into industry best practices and leadership roles.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Biotechnology/Biology/Technical Vocational subject/Computer Science/Information Technology/Informatics Practices/Agriculture/Engineering Graphics/Business Studies. Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. OR Passed Diploma (in Engineering and Technology) examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, if the vacancies at lateral entry are exhausted.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA101 | Engineering Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Laplace Transform, Applications |
| UPH102 | Engineering Physics | Core | 4 | Quantum Mechanics, Crystal Physics, Semiconductor Physics, Lasers, Fibre Optics |
| UCE103 | Basic Civil Engineering | Core | 3 | Introduction to Civil Engineering, Building Materials, Surveying, Transportation Engineering, Environmental Engineering |
| UME104 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, AutoCAD Introduction |
| UBS105 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Measuring Instruments |
| UCS106 | Programming in C | Core | 3 | C Fundamentals, Control Structures, Functions, Arrays and Strings, Pointers, Structures and Unions |
| UPH107 | Engineering Physics Lab | Lab | 1 | Optics Experiments, Semiconductor Device Characteristics, Magnetic Field Measurements, Interference and Diffraction, Ultrasonic Wave Properties |
| UBS108 | Basic Electrical Engineering Lab | Lab | 1 | Verification of Network Theorems, Measurement of AC Quantities, Study of Transformers, Motor Characteristics, Household Wiring |
| UCS109 | Programming in C Lab | Lab | 1 | C Program Structure, Conditional Statements, Looping Constructs, Functions and Arrays, Pointers and File Operations |
| UCS110 | Computer Workshop | Lab | 1 | Computer Hardware Components, Operating System Installation, Basic Networking Concepts, Microsoft Office Suite, Troubleshooting and Maintenance |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA201 | Engineering Mathematics – II | Core | 4 | Matrices, Vector Calculus, Multivariable Calculus, Probability and Statistics, Linear Algebra |
| UCH202 | Engineering Chemistry | Core | 4 | Water Technology, Polymer Chemistry, Corrosion, Fuels and Combustion, Green Chemistry |
| UME203 | Basic Mechanical Engineering | Core | 3 | Thermodynamics Basics, Power Plants, IC Engines, Refrigeration and Air Conditioning, Manufacturing Processes |
| UHS204 | Communication Skills | Core | 3 | Verbal Communication, Non-Verbal Communication, Written Communication, Presentation Skills, Group Discussion Techniques |
| UCS205 | Data Structures | Core | 3 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms |
| UCS206 | Digital Electronics | Core | 3 | Number Systems, Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Memory Devices |
| UCH207 | Engineering Chemistry Lab | Lab | 1 | Water Hardness Determination, Viscosity Measurement, Acid-Base Titrations, Spectrophotometric Analysis, Polymer Synthesis |
| UCS208 | Data Structures Lab | Lab | 1 | Array Operations, Stack and Queue Implementation, Linked List Manipulations, Tree Traversal Algorithms, Graph Algorithms |
| UCS209 | Digital Electronics Lab | Lab | 1 | Logic Gate Verification, Adder/Subtractor Circuits, Flip-Flops and Counters, Multiplexers and Demultiplexers, Memory Interfacing |
| UCS210 | Engineering Workshop | Lab | 1 | Fitting Operations, Carpentry Joints, Welding Techniques, Sheet Metal Works, Foundry Practices |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA301 | Engineering Mathematics – III | Core | 4 | Complex Variables, Fourier Series, Partial Differential Equations, Numerical Methods, Vector Spaces |
| UCS302 | Discrete Mathematics | Core | 3 | Mathematical Logic, Set Theory and Relations, Functions and Recurrence Relations, Graph Theory, Algebraic Structures |
| UCS303 | Object Oriented Programming | Core | 3 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Exception Handling, File I/O and Templates |
| UCS304 | Computer Organization & Architecture | Core | 3 | Basic Computer Organization, CPU Structure and Functions, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| UCS305 | Database Management Systems | Core | 3 | DBMS Concepts, Entity-Relationship Model, Relational Model and Algebra, SQL Query Language, Normalization and Transaction Management |
| UCS306 | Operating Systems | Core | 3 | OS Services and Structure, Process Management and Scheduling, Memory Management, File Systems, Deadlocks and Concurrency |
| UCS307 | Object Oriented Programming Lab | Lab | 1 | Class and Object Implementation, Inheritance and Polymorphism Programs, Abstract Classes and Interfaces, Exception Handling in C++ / Java, File Operations and GUI Programming |
| UCS308 | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Commands, Advanced SQL Queries, Database Design and Implementation, PL/SQL Programming, Database Connectivity (JDBC/ODBC) |
| UCS309 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Management Commands, CPU Scheduling Algorithms Simulation, Memory Management Techniques, Synchronization and Deadlock |
| UCS310 | Project Based Learning – I | Project | 2 | Problem Identification, Requirement Analysis, Design and Implementation, Testing and Debugging, Report Writing and Presentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMA401 | Probability & Statistics | Core | 3 | Probability Distributions, Sampling Theory, Hypothesis Testing, Correlation and Regression, Statistical Inference |
| UCS402 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| UCS403 | Theory of Computation | Core | 3 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| UCS404 | Microprocessor & Microcontroller | Core | 3 | 8086 Architecture, Instruction Set and Addressing Modes, Assembly Language Programming, Peripheral Interfacing, 8051 Microcontroller Basics |
| UCS405 | Computer Networks | Core | 3 | Network Models (OSI/TCP-IP), Physical Layer and Data Link Layer, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| UCS406 | Web Technology | Core | 3 | HTML and CSS, JavaScript and DOM, Client-Server Architecture, PHP/ASP.NET Basics, Database Connectivity and AJAX |
| UCS407 | Design & Analysis of Algorithms Lab | Lab | 1 | Sorting and Searching Algorithms, Greedy Algorithm Implementations, Dynamic Programming Problems, Graph Traversal Algorithms, Time and Space Complexity Analysis |
| UCS408 | Microprocessor & Microcontroller Lab | Lab | 1 | 8086 Assembly Language Programs, Arithmetic and Logic Operations, Interfacing with I/O Devices, Traffic Light Controller, Stepper Motor Control |
| UCS409 | Computer Networks Lab | Lab | 1 | Network Configuration Commands, Socket Programming (TCP/UDP), Packet Analysis using Wireshark, Routing Protocols Configuration, Client-Server Application Development |
| UCS410 | Web Technology Lab | Lab | 1 | HTML and CSS Design, JavaScript for Client-Side Scripting, PHP/ASP.NET Server-Side Scripting, Database Integration with Web, AJAX Applications |
| UHS411 | Universal Human Values | Core | 1 | Understanding Human Values, Harmony with Self and Family, Harmony in Society, Harmony with Nature, Professional Ethics |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCS501 | Artificial Intelligence | Core | 3 | AI Principles and Intelligent Agents, Problem Solving and Search Algorithms, Knowledge Representation, Machine Learning Basics, Expert Systems |
| UCS502 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Project Management |
| UCS503 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| UCS504 | Elective – I: Information Security | Elective | 3 | Cryptography and Encryption, Network Security, Application Security, Cyber Forensics, Security Policies and Standards |
| UCS505 | Elective – II: Advanced Operating Systems | Elective | 3 | Distributed Operating Systems, Real-time Operating Systems, Mobile Operating Systems, Operating System Security, Virtualization Concepts |
| UCS506 | Artificial Intelligence Lab | Lab | 1 | Search Algorithm Implementation, Knowledge Representation (Prolog/LISP), Heuristic Search, Game Playing Algorithms, AI Library Usage (Python) |
| UCS507 | Software Engineering Lab | Lab | 1 | Requirement Gathering and SRS, UML Modeling, Software Design Patterns, Test Case Generation, Version Control Systems |
| UCS508 | Elective – I Lab | Lab | 1 | Encryption/Decryption Algorithms, Network Packet Sniffing, Vulnerability Scanning, Digital Signature Implementation, Firewall Configuration |
| UCS509 | Elective – II Lab | Lab | 1 | Distributed System Communication, Real-time Task Scheduling, Mobile OS Application Development, Security Mechanism Implementation, Virtual Machine Management |
| UCS510 | Minor Project – I | Project | 2 | Problem Definition, Literature Survey, Design & Architecture, Implementation & Testing, Project Documentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCS601 | Machine Learning | Core | 3 | Supervised Learning Algorithms, Unsupervised Learning Algorithms, Reinforcement Learning, Neural Networks Basics, Model Evaluation and Optimization |
| UCS602 | Big Data Analytics | Core | 3 | Big Data Ecosystem, Hadoop Distributed File System, MapReduce Framework, Spark RDDs and DataFrames, Data Warehousing and Visualization |
| UCS603 | Elective – III: Internet of Things | Elective | 3 | IoT Architecture, Sensors and Actuators, Communication Protocols (MQTT, CoAP), IoT Platforms (AWS IoT, Azure IoT), Security and Privacy in IoT |
| UCS604 | Elective – IV: Data Mining | Elective | 3 | Data Preprocessing, Classification Algorithms, Clustering Algorithms, Association Rule Mining, Web Mining and Text Mining |
| UCS605 | Professional Practice | Core | 1 | Professional Ethics and Conduct, Intellectual Property Rights, Technical Report Writing, Entrepreneurship and Startups, Presentation Skills |
| UCS606 | Machine Learning Lab | Lab | 1 | Python for Machine Learning, Scikit-learn for Supervised Models, Clustering Algorithms, Decision Trees and SVMs, Model Evaluation Metrics |
| UCS607 | Big Data Analytics Lab | Lab | 1 | Hadoop Installation and HDFS, MapReduce Programming, Spark Programming (Scala/Python), Data Ingestion with Sqoop/Flume, Hive and Pig for Data Processing |
| UCS608 | Elective – III Lab | Lab | 1 | Sensor Interfacing, MQTT Protocol Implementation, IoT Device Programming (Arduino/Raspberry Pi), Cloud Platform Integration, Data Visualization from IoT Devices |
| UCS609 | Elective – IV Lab | Lab | 1 | Data Cleaning and Preprocessing, Classification Model Building, Clustering Analysis, Association Rule Generation, Data Visualization Tools |
| UCS610 | Internship (Industrial Training) | Internship | 3 | Industry Exposure, Project Implementation, Teamwork and Communication, Technical Report Writing, Problem-Solving in Industry |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCS701 | Deep Learning | Core | 3 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Models, Deep Learning Frameworks (TensorFlow/PyTorch) |
| UCS702 | Elective – V: DevOps | Elective | 3 | DevOps Principles, Continuous Integration/Continuous Deployment (CI/CD), Containerization (Docker, Kubernetes), Configuration Management (Ansible, Puppet), Monitoring and Logging |
| UCS703 | Elective – VI: Robotics and Automation | Elective | 3 | Robot Kinematics and Dynamics, Sensors and Actuators in Robotics, Robot Control Architectures, AI in Robotics, Industrial Automation and Robot Programming |
| UCS704 | Deep Learning Lab | Lab | 1 | CNN Implementation for Image Classification, RNN for Sequence Data, Generative Adversarial Networks (GANs), Deep Learning Frameworks (TensorFlow/PyTorch), Hyperparameter Tuning |
| UCS705 | Elective – V Lab | Lab | 1 | CI/CD Pipeline Setup (Jenkins/GitLab CI), Docker Containerization, Kubernetes Deployment, Configuration Management Automation, Infrastructure as Code (Terraform) |
| UCS706 | Elective – VI Lab | Lab | 1 | Robot Arm Control Simulation, Sensor Integration with Robotics, Path Planning Algorithms, Image Processing for Robot Vision, PLC Programming for Automation |
| UCS707 | Project – II | Project | 6 | Advanced System Design, Complex Implementation, Performance Optimization, Extensive Testing, Comprehensive Documentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCS801 | Open Elective | Elective | 3 | Interdisciplinary Topics, Emerging Technologies, Societal Impact of Technology, Entrepreneurial Skills, Cross-Disciplinary Applications |
| UCS802 | Project – III | Project | 10 | Research and Development, Novel System Architecture, Advanced Implementation, Rigorous Evaluation, Final Project Report and Presentation |
| UCS803 | Seminar / Presentation | Seminar | 2 | Technical Topic Selection, Literature Review, Presentation Skills, Public Speaking, Question and Answer Handling |
| UCS804 | Industrial Project / Dissertation | Project | 3 | Industry-Specific Problem Solving, Real-World Application Development, Client Interaction, Project Management, Dissertation Writing |
