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B-SC-HONS in Computer Science at Dayalbagh Educational Institute
Agra, Uttar Pradesh
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About the Specialization
What is Computer Science at Dayalbagh Educational Institute Agra?
This B.Sc. (Hons.) Computer Science program at Dayalbagh Educational Institute focuses on providing a robust foundation in theoretical computer science coupled with practical application skills. It is designed to meet the growing demand for skilled IT professionals in India''''s rapidly expanding digital economy. The program emphasizes ethical computing and holistic development, aligning with the institute''''s unique educational philosophy.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning, eager to delve into the core principles of computing. It caters to students aspiring for entry-level roles in software development, data analysis, and network administration, as well as those planning for postgraduate studies or entrepreneurial ventures within the Indian tech landscape.
Why Choose This Course?
Graduates of this program can expect promising career paths as Junior Software Developers, Data Analysts, Web Developers, and IT Support Specialists in Indian companies. Entry-level salaries typically range from INR 3-6 LPA, with significant growth trajectories for experienced professionals. The curriculum also prepares students for competitive exams and professional certifications relevant to the Indian IT industry.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate extra time to practicing C programming and data structures problems to build a strong logical foundation. Focus on understanding algorithm efficiency and problem-solving techniques.
Tools & Resources
HackerRank, LeetCode (easy problems), GeeksforGeeks, NPTEL courses on programming
Career Connection
Strong coding fundamentals are crucial for technical interviews and developing problem-solving skills, which are essential for any IT role in India.
Develop Strong Mathematical & Logical Aptitude- (Semester 1-2)
Focus on understanding concepts in Differential Equations, Linear Algebra, and Discrete Structures, as these form the bedrock for advanced computer science topics. Practice regularly to enhance analytical skills.
Tools & Resources
Khan Academy, YouTube tutorials on calculus and discrete math, Competitive programming websites with logic puzzles, Previous year''''s question papers
Career Connection
Essential for algorithm design, data analysis, machine learning, and advanced research roles in the Indian tech sector.
Engage in Peer Learning & Collaborative Projects- (Semester 1-2)
Form study groups to discuss complex topics, share insights, and work together on small programming assignments or theoretical problems. Utilize version control for collaborative coding.
Tools & Resources
GitHub for version control, Online collaboration platforms, Institute''''s computer labs for group work
Career Connection
Enhances teamwork, communication, and collaborative problem-solving, highly valued skills in corporate environments for project-based work and agile development teams.
Intermediate Stage
Build Practical Database & OOP Skills- (Semester 3-4)
Actively participate in DBMS and OOP labs, developing mini-projects beyond assignments. Focus on real-world application of SQL, database design, and object-oriented principles.
Tools & Resources
MySQL Workbench, PostgreSQL, Visual Studio Code, Online C++ / Java tutorials, Open-source projects
Career Connection
Directly translates to roles in software development, backend engineering, and database administration, which are high-demand positions in the Indian IT industry.
Seek Early Industry Exposure through Internships- (Semester 4-5 (Summer break after Sem 4))
Actively search for summer internships or part-time projects in areas like web development, data entry, or IT support. This provides invaluable practical experience and industry insight.
Tools & Resources
Internshala, LinkedIn, College placement cell, Local IT companies and startups
Career Connection
Provides real-world experience, helps build a professional network, and significantly enhances resumes for final placements and future career opportunities in India.
Specialize in Elective Areas- (Semester 5)
Choose Discipline Specific Electives (DSEs) and Skill Enhancement Courses (SECs) strategically based on your career interests. Deep dive into these chosen fields through self-study and projects.
Tools & Resources
NPTEL, Coursera, Udemy for specialized courses, Online communities for chosen fields (e.g., AI/ML forums)
Career Connection
Develops expertise in niche areas like AI, data science, or cybersecurity, making graduates highly valuable for specific, specialized roles in the Indian tech market.
Advanced Stage
Focus on Capstone Project & Portfolio Building- (Semester 6)
Treat the major project as a professional endeavor, aiming for a deployable or impactful solution. Document every stage thoroughly and ensure a strong presentation.
Tools & Resources
Project management tools (Trello, Asana), GitHub for code repository, Cloud platforms (AWS Free Tier, GCP)
Career Connection
A strong, well-executed project forms the backbone of a professional portfolio, demonstrating practical skills and innovation to potential employers during campus placements.
Intensive Placement Preparation- (Semester 6)
Engage in rigorous preparation for placements, including mock interviews (technical and HR), aptitude tests, and resume/CV building workshops. Practice coding challenges frequently.
Tools & Resources
Online aptitude platforms (IndiaBix), Interview prep guides (GeeksforGeeks, Glassdoor), College placement cell resources, Alumni network for guidance
Career Connection
Maximizes chances of securing a desirable job offer from top Indian and international companies recruiting on campus, leading to a successful career launch.
Network with Alumni & Industry Experts- (Semester 5-6)
Actively connect with alumni and industry professionals through LinkedIn, attend industry seminars, webinars, and college-organized events. Seek mentorship and career advice.
Tools & Resources
LinkedIn, Industry meetups (virtual/physical), College alumni events and forums
Career Connection
Opens doors to mentorship, job referrals, and provides crucial insights into industry trends, essential for long-term career growth and navigating the competitive Indian job market.
Program Structure and Curriculum
Eligibility:
- Intermediate (10+2) in Science (PCM/PCB/PCMB) or equivalent examination recognized by the University.
Duration: 3 years / 6 semesters
Credits: 107 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EHS101 | Communicative English | Core | 3 | Communication Process, Grammar and Usage, Reading Comprehension, Writing Skills, Public Speaking |
| HSC101 | Cultural Education | Core | 3 | Indian Culture and Heritage, Values and Ethics, Social Harmony, Art and Literature, Religious Understanding |
| CSC101 | Problem Solving using C | Core | 3 | Programming Fundamentals, Control Structures, Functions, Arrays and Pointers, Structures and Unions |
| CSL101 | Problem Solving using C Lab | Lab | 2 | C Programming Practice, Debugging Techniques, Algorithm Implementation, File Handling Exercises |
| MAC101 | Differential Equations & Laplace Transform | Core | 3 | First Order Ordinary Differential Equations, Second Order Linear ODEs, Series Solutions of ODEs, Laplace Transform Properties, Inverse Laplace Transform |
| EAC101 | Environment & Health | Core | 3 | Environmental Pollution, Ecosystems and Biodiversity, Natural Resources Management, Personal and Community Health, Disaster Management |
| AUC101 | Yoga & Physical Education | Core | 1 | Yoga Asanas and Pranayama, Physical Fitness Exercises, Sports and Games, Health and Well-being |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EHS201 | Interpersonal Communication | Core | 3 | Listening and Speaking Skills, Presentation Techniques, Interview Skills, Group Discussion Strategies, Professional Etiquette |
| HSC201 | Ethics & Values | Core | 3 | Moral Philosophy, Ethical Theories, Values in Society, Professional Ethics, Ethical Decision Making |
| CSC201 | Data Structures | Core | 3 | Arrays, Linked Lists, Stacks and Queues, Trees and Graphs, Searching and Sorting Algorithms, Algorithm Analysis |
| CSL201 | Data Structures Lab | Lab | 2 | Implementation of Data Structures, Algorithm Efficiency Analysis, Problem Solving with Data Structures |
| MAC201 | Linear Algebra & Discrete Structures | Core | 3 | Matrices and Determinants, Vector Spaces, Set Theory and Relations, Graph Theory, Boolean Algebra and Logic |
| PPC201 | Physics | Core | 3 | Mechanics and Oscillations, Electromagnetism, Optics, Quantum Physics Basics, Semiconductor Devices |
| PPL201 | Physics Lab | Lab | 2 | Experimental Physics, Measurement Techniques, Data Analysis and Interpretation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC301 | Object Oriented Programming with C++ | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Virtual Functions, Templates and STL, Exception Handling |
| CSL301 | Object Oriented Programming with C++ Lab | Lab | 2 | C++ Programming Practice, OOP Concepts Implementation, File I/O in C++ |
| CSC302 | Database Management System | Core | 3 | DBMS Architecture, ER Model, Relational Model and Algebra, SQL Queries, Normalization and Transactions |
| CSL302 | Database Management System Lab | Lab | 2 | SQL Query Writing, Database Design, PL/SQL Programming Basics, Report Generation |
| MAC301 | Probability & Statistics | Core | 3 | Probability Theory, Random Variables and Distributions, Sampling Theory, Hypothesis Testing, Regression and Correlation |
| EGC301 | Energy Management | Core | 3 | Energy Sources, Energy Conservation, Renewable Energy Systems, Energy Auditing, Energy Policy |
| AUC301 | Social Service & Extension | Core | 1 | Community Engagement, Social Awareness Programs, Project Implementation, Rural Development |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC401 | Operating Systems | Core | 3 | OS Concepts and Services, Process Management and CPU Scheduling, Memory Management, File Systems, I/O Systems and Deadlocks |
| CSL401 | Operating Systems Lab | Lab | 2 | Linux Commands and Shell Scripting, Process Synchronization Simulation, Memory Management Algorithms, System Calls Programming |
| CSC402 | Computer Networks | Core | 3 | Network Topologies, OSI and TCP/IP Models, Networking Protocols (IP, TCP, UDP), Routing Algorithms, Network Security Basics |
| CSL402 | Computer Networks Lab | Lab | 2 | Network Configuration, Socket Programming, Network Utility Tools, Packet Analysis |
| CSC403 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing, Project Management |
| CSC404 | Computer Architecture | Core | 3 | Digital Logic Circuits, Combinational and Sequential Logic, CPU Organization, Memory Hierarchy, I/O Organization |
| AUC401 | Co-curricular Activities | Core | 1 | Event Organization, Leadership Skills, Teamwork and Collaboration, Communication Skills |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC501 | Web Technology | Core | 3 | HTML and CSS, JavaScript and DOM, Client-Server Architecture, Web Servers, AJAX and JSON |
| CSL501 | Web Technology Lab | Lab | 2 | Website Development, Dynamic Web Pages, Frontend Framework Basics, Database Integration for Web |
| CSC502 | Artificial Intelligence | Core | 3 | AI Concepts, Search Algorithms (DFS, BFS, A*), Knowledge Representation, Machine Learning Fundamentals, Expert Systems |
| CSL502 | Artificial Intelligence Lab | Lab | 2 | AI Programming (e.g., Python), Search Algorithm Implementation, Machine Learning Library Usage |
| CSD501 | Project (Minor) | Project | 3 | Problem Definition, System Design, Implementation and Testing, Documentation and Presentation |
| DSE-I | Discipline Specific Elective-I (e.g., Data Mining) | Elective | 3 | Data Preprocessing, Association Rule Mining, Classification Techniques, Clustering Algorithms, Web Mining |
| SEC-I | Skill Enhancement Course-I (e.g., Python Programming) | Elective | 2 | Python Basics, Data Structures in Python, Functions and Modules, File Handling, Object-Oriented Programming in Python |
| AUC501 | Training/Internship (Summer) | Practical | 1 | Industry Exposure, Practical Skill Application, Report Writing, Professional Etiquette |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSC601 | Cloud Computing | Core | 3 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security |
| CSL601 | Cloud Computing Lab | Lab | 2 | Cloud Service Deployment, Virtual Machine Management, Cloud Storage Services, Basic Cloud Platform Operations |
| CSD601 | Project (Major) | Project | 6 | Advanced Project Management, System Development Lifecycle, Research and Innovation, Comprehensive Documentation, Final Presentation |
| DSE-II | Discipline Specific Elective-II (e.g., Machine Learning) | Elective | 3 | Supervised Learning, Unsupervised Learning, Regression and Classification, Neural Networks, Deep Learning Basics |
| SEC-II | Skill Enhancement Course-II (e.g., UI/UX Design) | Elective | 2 | User Centered Design, Wireframing and Prototyping, Usability Testing, Interaction Design, Design Tools (Figma/Adobe XD) |
| AUC601 | Viva-Voce | Practical | 1 | Comprehensive Subject Knowledge, Communication Skills Assessment, Project Defense, Interview Readiness |
