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BACHELOR-OF-TECHNOLOGY-COMPUTER-ENGINEERING-LATERAL-ENTRY in Computer Engineering at Delhi Skill and Entrepreneurship University, Okhla II Campus
Delhi, Delhi
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About the Specialization
What is Computer Engineering at Delhi Skill and Entrepreneurship University, Okhla II Campus Delhi?
This Computer Engineering program at Delhi Skill and Entrepreneurship University Okhla II Campus focuses on imparting practical, industry-relevant skills in computing. Designed to meet the growing demand for skilled professionals in India''''s booming IT sector, the curriculum emphasizes hands-on experience, entrepreneurial thinking, and problem-solving, preparing students for dynamic roles in software development, data science, cybersecurity, and emerging technologies.
Who Should Apply?
This program is ideal for diploma holders in engineering disciplines, particularly Computer Engineering, IT, or Electronics, seeking to upgrade their qualifications to a Bachelor of Technology degree. It caters to those who possess foundational technical knowledge and aspire for a structured academic progression, aiming for leadership roles, advanced technical positions, or even starting their own ventures in the Indian tech landscape after gaining a solid engineering foundation.
Why Choose This Course?
Graduates of this program can expect to secure roles in top Indian and multinational IT companies as software developers, system analysts, network engineers, or data analysts. 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 also aligns with certifications in areas like cloud computing, AI, and cybersecurity, enhancing career trajectories in India''''s competitive market.
Student Success Practices
Foundation Stage
Master Core Programming & Data Structures- (Semester 3-4)
Focus on rigorous practice of C++, Java, and Python, alongside fundamental data structures and algorithms. Utilize platforms like HackerRank, LeetCode, and GeeksforGeeks daily to build problem-solving muscle and prepare for initial coding rounds in campus placements.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Javatpoint
Career Connection
Strong fundamentals are non-negotiable for cracking technical interviews and securing entry-level software development roles.
Develop Strong Logical & Mathematical Skills- (Semester 3-4)
Excel in Discrete Mathematics and Digital Electronics by practicing problems regularly. Participate in college-level coding contests and logic building workshops. This foundational strength is crucial for understanding advanced computer science concepts and for competitive exams in India.
Tools & Resources
NPTEL courses, Project Euler, Competitive programming platforms
Career Connection
Enhances analytical thinking required for algorithm design, system architecture, and technical problem-solving roles.
Engage in Mini Projects & Open-Source Contributions- (Semester 3-4)
Start building small applications using learned concepts (e.g., a simple To-Do app, a calculator). Explore contributing to open-source projects on GitHub, even with minor bug fixes, to understand collaborative development workflows and showcase practical skills early on.
Tools & Resources
GitHub, GitLab, VS Code, Stack Overflow
Career Connection
Builds a practical portfolio, demonstrates initiative, and familiarizes students with industry-standard version control and collaborative practices.
Intermediate Stage
Specialized Skill Development & Certifications- (Semester 5-6)
Identify areas of interest like Web Development, Cloud Computing, or AI/ML. Pursue online courses (Coursera, Udemy) and professional certifications (e.g., AWS Certified Cloud Practitioner, Google TensorFlow Developer) to gain specialized knowledge and industry-recognized credentials, which are highly valued in the Indian job market.
Tools & Resources
Coursera, Udemy, edX, AWS Certifications, Google Cloud Certifications
Career Connection
Helps in niche job roles, higher salary packages, and demonstrates a proactive approach to learning in a rapidly evolving tech industry.
Participate in Hackathons & Technical Competitions- (Semester 5-6)
Actively participate in national and university-level hackathons (e.g., Smart India Hackathon, internal DSEU competitions) and technical paper presentations. These platforms offer invaluable experience in teamwork, rapid prototyping, and solving real-world problems under pressure, attracting attention from potential employers.
Tools & Resources
Devpost, Major League Hacking (MLH) events, College technical fests
Career Connection
Develops crucial soft skills like teamwork and time management, provides networking opportunities, and highlights problem-solving abilities to recruiters.
Seek Early Industry Exposure through Internships- (Semester 5-6)
Look for summer internships after the 4th semester or during the 5th/6th semesters. Even unpaid internships provide practical experience, networking opportunities, and a chance to understand corporate culture, significantly boosting resume strength for final placements in Indian companies.
Tools & Resources
Internshala, LinkedIn, DSEU Placement Cell
Career Connection
Provides real-world experience, helps in understanding career interests, and often leads to pre-placement offers from reputable companies.
Advanced Stage
Intensive Major Project & Research- (Semester 7-8)
Dedicate significant effort to the major project in the final year, choosing a challenging, industry-relevant problem. Aim for innovative solutions, potentially publishing a research paper or developing a marketable product. This project serves as a capstone and a primary talking point during advanced placement interviews.
Tools & Resources
Research papers (IEEE Xplore, ACM Digital Library), GitHub, Jupyter Notebooks
Career Connection
Showcases deep technical expertise, independent problem-solving skills, and innovation, which are critical for R&D roles and top-tier companies.
Placement & Interview Preparation- (Semester 7-8)
Focus on aptitude tests, technical interviews (data structures, algorithms, operating systems, DBMS, networking), and soft skills development. Attend workshops on resume building, group discussions, and mock interviews organized by the university''''s placement cell. Network with alumni for insights into specific company hiring processes.
Tools & Resources
Quantitative Aptitude books, Mock interview platforms, DSEU Placement Cell resources
Career Connection
Directly prepares students for campus placement drives, increasing their chances of securing desirable job offers in various IT roles.
Explore Entrepreneurship & Advanced Studies- (Semester 7-8)
For those interested in startups, leverage DSEU''''s entrepreneurial ecosystem. Develop a detailed business plan for your project, participate in startup incubators. Alternatively, prepare for GATE or other competitive exams for higher studies (M.Tech) in India or abroad, exploring specialized fields like data science or cybersecurity.
Tools & Resources
DSEU Innovation & Incubation Centre, Startup India portal, GATE exam preparation material
Career Connection
Fosters entrepreneurial spirit and provides pathways for launching one''''s own venture or pursuing advanced academic qualifications for specialized careers.
Program Structure and Curriculum
Eligibility:
- Candidates should have passed Diploma in Computer Engineering/IT/Computer Science/Software Development/Electronics and Communication Engineering / Electrical Engineering / Instrumentation & Control Engineering / Tool & Die Engineering / Mechanical Engineering.
Duration: 3 years / 6 semesters (for Lateral Entry students starting from 3rd semester)
Credits: 128 Credits
Assessment: Internal: 40% (for theory), 60% (for practical/project), External: 60% (for theory), 40% (for practical/project)
Semester-wise Curriculum Table
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCE301 | Data Structures and Algorithms | Core | 4 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Algorithms |
| BTCE303 | Operating Systems | Core | 4 | Introduction to Operating Systems, Process Management and CPU Scheduling, Memory Management, Virtual Memory, File Systems and I/O Management |
| BTAI301 | Digital Electronics and Microprocessors | Core | 4 | Digital Logic Families, Combinational and Sequential Logic Circuits, Microprocessor Architecture (8085/8086), Instruction Set and Programming, Memory and I/O Interfacing |
| BTCE305 | Object Oriented Programming using Java | Core | 4 | Introduction to OOP Concepts, Java Fundamentals and Classes/Objects, Inheritance and Polymorphism, Exception Handling and Multithreading, File I/O and GUI Programming |
| BTGE301 | Environmental Science | Generic Elective | 2 | Natural Resources and Ecosystems, Environmental Pollution, Global Environmental Issues, Biodiversity and Conservation, Environmental Management and Legislation |
| BTCE351 | Data Structures and Algorithms Lab | Lab | 1 | Implementation of Arrays and Linked Lists, Stacks and Queues Operations, Tree and Graph Traversal, Sorting and Searching Algorithms Practice, Application of Data Structures |
| BTCE353 | Operating Systems Lab | Lab | 1 | Linux Commands and Shell Scripting, Process Management and Inter-process Communication, CPU Scheduling Algorithms, Memory Allocation Techniques, File System Operations and Permissions |
| BTAI351 | Digital Electronics and Microprocessors Lab | Lab | 1 | Logic Gates and Boolean Algebra, Combinational Circuit Design, Sequential Circuit Design, Microprocessor Kit Programming (8085/8086), Assembly Language Programming |
| BTCE355 | Object Oriented Programming using Java Lab | Lab | 1 | Java Basics and Class Design, Inheritance, Polymorphism, Abstraction, Exception Handling and Collections, Multithreading and File I/O, GUI Development with AWT/Swing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCE401 | Computer Organization and Architecture | Core | 4 | Computer System Overview, CPU Organization and Design, Memory Hierarchy and Cache, Input/Output Organization, Pipelining and Parallel Processing |
| BTCE403 | Database Management Systems | Core | 4 | Introduction to DBMS and Data Models, Entity-Relationship (ER) Model, Relational Model and SQL, Normalization, Transaction Management and Concurrency Control |
| BTCE405 | Software Engineering | Core | 4 | Software Development Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing and Quality Assurance, Software Project Management |
| BTGE401 | Universal Human Values and Professional Ethics | Generic Elective | 2 | Introduction to Value Education, Understanding Harmony in Self, Harmony in Family and Society, Professional Ethics and Values, Holistic Technologies and Sustainable Production |
| BTCE407 | Discrete Mathematics | Core | 4 | Set Theory and Relations, Functions and Recurrence Relations, Mathematical Logic and Proofs, Graph Theory, Combinatorics and Probability |
| BTCE451 | Computer Organization and Architecture Lab | Lab | 1 | Assembly Language Programming, CPU Simulation and Design, Memory Interfacing Experiments, I/O Operations and Devices, Performance Measurement |
| BTCE453 | Database Management Systems Lab | Lab | 1 | SQL Queries for Data Definition and Manipulation, Schema Creation and Constraints, Stored Procedures and Triggers, Database Connectivity (JDBC/ODBC), Report Generation |
| BTCE455 | Software Engineering Lab | Lab | 1 | Requirements Gathering and SRS Document, UML Diagramming (Use Case, Class, Sequence), Software Design Patterns, Software Testing Techniques, Project Planning and Documentation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCE501 | Theory of Computation | Core | 4 | Finite Automata and Regular Languages, Context-Free Grammars and Pushdown Automata, Turing Machines and Computability, Decidability and Undecidability, Complexity Theory P and NP |
| BTCE503 | Computer Networks | Core | 4 | Network Models (OSI, TCP/IP), Physical Layer and Data Link Layer, Network Layer and Routing, Transport Layer (TCP, UDP), Application Layer Protocols |
| BTCE505 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis and Asymptotic Notations, Divide and Conquer, Greedy Algorithms and Dynamic Programming, Graph Algorithms, NP-Completeness and Approximation Algorithms |
| BTCE507 | Advanced Java Programming | Professional Elective | 3 | Java Swing/JavaFX for GUI, Servlet and JSP Technology, JDBC and Database Connectivity, Web Services (SOAP and RESTful), Spring Framework Introduction |
| BTCE551 | Computer Networks Lab | Lab | 1 | Network Configuration and Troubleshooting, Socket Programming, Packet Analysis with Wireshark, Implementation of Routing Protocols, Client-Server Application Development |
| BTCE553 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting and Searching, Graph Traversal Algorithms, Dynamic Programming Solutions, Greedy Algorithm Applications, Time and Space Complexity Analysis |
| BTCE555 | Mini Project | Project | 2 | Problem Identification and Scope Definition, Requirement Analysis and Design, Implementation and Testing, Project Documentation and Presentation, Teamwork and Project Management |
| BTCE557 | Advanced Java Programming Lab | Lab | 2 | GUI Application Development using Swing/JavaFX, Developing Web Applications with Servlets/JSP, Database Operations with JDBC, Implementing RESTful Web Services, Basic Spring Boot Application Development |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCE601 | Compiler Design | Core | 4 | Introduction to Compilers, Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis and Intermediate Code Generation, Code Optimization and Target Code Generation |
| BTCE603 | Web Engineering | Core | 4 | Web Technologies (HTML, CSS, JavaScript), Client-Side Scripting and Frameworks, Server-Side Scripting (Node.js/Python/PHP), Database Integration and APIs, Web Security Fundamentals |
| BTCE605 | Artificial Intelligence | Core | 4 | Introduction to AI and Intelligent Agents, Problem Solving through Search, Knowledge Representation and Reasoning, Machine Learning Fundamentals, Natural Language Processing Basics |
| BTCE607 | Cloud Computing | Professional Elective | 3 | Introduction to Cloud Computing, Cloud Architecture and Deployment Models, Service Models (IaaS, PaaS, SaaS), Virtualization Technologies, Cloud Security and Data Privacy |
| BTCE651 | Compiler Design Lab | Lab | 1 | Lexical Analyzer using Flex/Lex, Parser Implementation using Yacc/Bison, Syntax Directed Translation, Intermediate Code Generation, Error Handling |
| BTCE653 | Web Engineering Lab | Lab | 1 | Responsive Web Design, Client-Side Frameworks (React/Angular/Vue), Server-Side Development with Node.js/Django/Flask, Database Integration for Web Apps, API Development and Consumption |
| BTCE655 | Artificial Intelligence Lab | Lab | 1 | Search Algorithms Implementation, Constraint Satisfaction Problems, Knowledge Representation using Prolog, Basic Machine Learning Algorithms, Natural Language Processing Tasks |
| BTCE657 | Cloud Computing Lab | Lab | 2 | Virtual Machine Deployment and Management, Storage Services (S3, EBS), Networking in Cloud Environments, Web Application Deployment on Cloud Platforms, Serverless Computing (Lambda/Functions) |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCE701 | Machine Learning | Core | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering, PCA), Neural Networks and Deep Learning Basics, Model Evaluation and Hyperparameter Tuning |
| BTCE703 | Internet of Things (IoT) | Professional Elective | 3 | IoT Architecture and Paradigms, Sensors, Actuators, and Microcontrollers, IoT Communication Protocols (MQTT, CoAP), IoT Platforms and Cloud Integration, IoT Security and Privacy |
| BTGE701 | Entrepreneurship and Startup Management | Generic Elective | 2 | Entrepreneurial Mindset and Process, Idea Generation and Business Opportunity, Business Plan Development, Funding Sources and Legal Aspects of Startups, Marketing and Growth Strategies |
| BTCE751 | Machine Learning Lab | Lab | 1 | Python Libraries for Machine Learning (Scikit-learn, Pandas), Implementation of Supervised Learning Models, Implementation of Unsupervised Learning Models, Neural Network Implementation, Data Preprocessing and Visualization |
| BTCE753 | Seminar | Project/Seminar | 2 | Advanced Topic Research, Technical Presentation Skills, Literature Survey and Critical Analysis, Report Writing and Abstract Preparation, Public Speaking and Q&A Sessions |
| BTCE755 | Industrial Project/Internship (Part-I) | Project/Internship | 4 | Industry Problem Statement Analysis, Team Collaboration and Project Planning, Software Development Life Cycle in Industry, Technical Skill Application, Professional Communication and Reporting |
| BTCE757 | Internet of Things (IoT) Lab | Lab | 2 | Interfacing Sensors and Actuators with Microcontrollers, Data Acquisition and Processing, Communication via IoT Protocols (MQTT), Cloud Platform Integration for IoT Data, Building Smart IoT Applications |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BTCE801 | Major Project | Project | 10 | Comprehensive System Design and Development, Advanced Problem Solving, Implementation of Innovative Solutions, Extensive Testing and Evaluation, Project Documentation and Defense |
| BTCE803 | Industrial Project/Internship (Part-II) | Project/Internship | 8 | Advanced Industry Project Execution, Real-World Problem Solving and Deployment, Maintenance and Scalability Considerations, Professional Skills Development, Leadership and Team Contribution |
