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B-TECH in Computer Science Engineering at Dayalbagh Educational Institute
Agra, Uttar Pradesh
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About the Specialization
What is Computer Science & Engineering at Dayalbagh Educational Institute Agra?
This Computer Science & Engineering program at Dayalbagh Educational Institute focuses on foundational and advanced computing concepts, emphasizing both theoretical understanding and practical application. The curriculum is meticulously designed to meet the evolving demands of the Indian IT industry by nurturing skilled professionals adept at problem-solving, software development, and technological innovation. It integrates traditional computer science with modern trends like Artificial Intelligence, Data Science, and Cybersecurity to prepare students for a dynamic global landscape.
Who Should Apply?
This program is ideal for ambitious 10+2 graduates with a strong aptitude for mathematics, logical reasoning, and a keen interest in technology and programming. It also suits individuals aspiring to delve into core computer science research, develop cutting-edge software solutions, or contribute significantly to India''''s burgeoning digital economy. Candidates with a foundational understanding of basic programming principles or a passion for solving complex computational problems will thrive.
Why Choose This Course?
Graduates of this program can expect diverse career paths within India, including roles in software development, data analysis, cybersecurity, AI/ML engineering, and IT consulting. Entry-level salaries typically range from INR 4-8 lakhs per annum, with significant growth potential as experience accrues. The program comprehensively prepares students for positions in top Indian and multinational companies operating in India, fostering skills for continuous learning and alignment with professional certifications in high-demand technological areas.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Actively practice coding regularly using platforms like HackerRank and CodeChef to build strong proficiency in C/C++ basics, data types, control structures, and fundamental algorithms. This early and consistent practice establishes a robust technical foundation essential for tackling more complex subjects and succeeding in future technical assessments.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks for theoretical concepts
Career Connection
Strong programming fundamentals are the bedrock for most software development roles and are heavily tested in initial screening rounds of IT companies for internships and placements.
Develop Strong Problem-Solving Skills- (Semester 1-2)
Engage in daily logical puzzles, algorithmic challenges, and critical thinking exercises. Utilize online resources and textbooks to understand different problem-solving paradigms. This practice cultivates analytical thinking, enables efficient breakdown of complex problems, and is crucial for innovating solutions in real-world engineering scenarios and excelling in competitive programming.
Tools & Resources
LeetCode (easy level), Project Euler, Mathematical puzzle books
Career Connection
Problem-solving ability is a core skill sought by all employers. It directly impacts performance in technical interviews and is vital for success in engineering roles.
Cultivate Effective Study Habits and Peer Learning- (Semester 1-2)
Form study groups with peers to discuss challenging concepts, collaboratively solve problems, and prepare for examinations. Actively participate in class discussions and seek timely clarifications from faculty members. Peer learning enhances understanding, exposes students to diverse perspectives, and builds a supportive academic and professional network.
Tools & Resources
College library, Dedicated study rooms, Online collaborative tools
Career Connection
Collaborative skills are highly valued in team-oriented work environments. Strong academic performance, boosted by effective study, opens doors to better opportunities and higher studies.
Intermediate Stage
Focus on Data Structures & Algorithms (DSA) Mastery- (Semester 3-5)
Dedicate significant time to thoroughly understand and implement advanced data structures (like trees, graphs, heaps) and complex algorithms (like dynamic programming, greedy algorithms). Use platforms for extensive practice. This mastery is paramount for securing internships and placements in product-based companies, as DSA forms the core of most technical assessments.
Tools & Resources
LeetCode (medium-hard), InterviewBit, Grokking Algorithms book
Career Connection
Exceptional DSA skills are a non-negotiable requirement for software development and engineering roles at leading tech companies, directly impacting hiring decisions and salary packages.
Gain Practical Experience through Mini-Projects- (Semester 3-5)
Apply theoretical knowledge by undertaking self-initiated or course-related mini-projects in areas such as web development, mobile application development, or basic AI/ML. Utilize platforms like GitHub for version control and showcasing your work. Practical projects demonstrate applied skills, build a strong portfolio, and offer hands-on experience in software development life cycles.
Tools & Resources
GitHub, VS Code, Online tutorials for specific technologies
Career Connection
A portfolio of practical projects differentiates candidates, proving their ability to build and deliver. This is critical for internships and entry-level positions.
Seek Industry Exposure via Internships & Workshops- (Semester 3-5)
Actively search for summer internships, even short-term ones, at local IT companies or startups to gain real-world experience. Attend workshops and seminars focused on emerging technologies like Cloud Computing, IoT, or Cybersecurity. Early industry exposure provides practical context, helps in networking, clarifies career interests, and provides a significant competitive edge for final placements.
Tools & Resources
LinkedIn, Internshala, College placement cell
Career Connection
Internships offer invaluable industry insights and networking opportunities, often leading to pre-placement offers. They bridge the gap between academic learning and industry expectations.
Advanced Stage
Deep Dive into Specialization and Advanced Topics- (Semester 6-8)
Choose departmental and open electives strategically based on specific career interests (e.g., AI/ML, Cybersecurity, Cloud Computing) and pursue advanced professional certifications relevant to these domains (e.g., AWS Certified Developer, Google Associate Cloud Engineer). This focused learning creates specialized expertise in high-demand areas, differentiating students in the competitive job market.
Tools & Resources
Coursera/edX for specialized courses, Official certification guides
Career Connection
Specialized skills and certifications unlock opportunities in niche, high-paying roles and accelerate career growth within specific tech domains.
Intensive Placement Preparation & Mock Interviews- (Semester 6-8)
Begin rigorous preparation for placement drives, focusing on comprehensive resume building, aptitude tests, technical rounds, and HR interviews. Participate actively in mock interview sessions conducted by the college placement cell or external platforms. Comprehensive preparation boosts confidence, refines communication skills, and significantly increases the chances of securing desired job offers.
Tools & Resources
Previous year placement papers, Online aptitude tests, Mock interview platforms
Career Connection
Thorough preparation directly correlates with higher success rates in campus placements, leading to better job offers and faster career entry.
Undertake a Capstone Project/Dissertation- (Semester 6-8)
Dedicate substantial effort to a significant final year project or dissertation that demonstrates innovation, advanced problem-solving, and technical prowess. Work closely with faculty mentors or industry experts, if possible. A strong capstone project serves as a powerful testament to a student''''s capabilities, acting as a major talking point in interviews and a potential foundation for entrepreneurial ventures or higher studies.
Tools & Resources
Research papers, Advanced development frameworks, Academic advisors
Career Connection
A well-executed capstone project showcases advanced technical skills and independent work, making it a key differentiator in job applications and for pursuing postgraduate studies or research roles.
Program Structure and Curriculum
Eligibility:
- 10+2 system of education with Physics, Chemistry, and Mathematics (PCM) as compulsory subjects, with a minimum of 60% aggregate marks in PCM. Admission based on performance in JEE (Main) / Institute''''s entrance test.
Duration: 4 years / 8 semesters
Credits: 204 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CHE101 | Environmental Studies | Core | 4 | Multidisciplinary nature of environmental studies, Natural resources, Ecosystems, Biodiversity and its conservation, Environmental pollution, Social issues and the environment |
| CSB101 | Computer Fundamentals & Programming | Core | 4 | Introduction to Computers, Programming in C, Data types and operators, Control statements, Functions, Arrays and pointers |
| MAB101 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Partial Differential Equations, Vector Calculus |
| MEB101 | Engineering Graphics | Core | 2 | Engineering curves, Orthographic projections, Section of solids, Isometric projections, Development of surfaces |
| PYB101 | Engineering Physics-I | Core | 4 | Oscillations and Waves, Optics, Quantum Mechanics, Solid State Physics, Nuclear Physics |
| CHE102 | Environmental Studies Lab | Lab | 1 | Water quality analysis, Air quality monitoring, Solid waste management, Noise pollution measurement, Ecosystem study |
| CSB102 | Computer Fundamentals & Programming Lab | Lab | 2 | C programming exercises, Flowcharting, Debugging, Basic data structures implementation, Problem-solving using C |
| MEB102 | Workshop Practice | Lab | 2 | Carpentry, Fitting, Welding, Foundry, Machine shop operations |
| PYB102 | Engineering Physics-I Lab | Lab | 1 | Experiments on optics, Mechanics, Electricity, Magnetism, Modern Physics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| ECB101 | Basic Electrical & Electronics Engineering | Core | 4 | DC circuits, AC circuits, Diodes and transistors, Operational amplifiers, Digital electronics basics |
| EHB101 | Professional Communication | Core | 4 | Grammar and vocabulary, Business communication, Public speaking, Presentation skills, Report writing |
| MAB102 | Engineering Mathematics-II | Core | 4 | Linear Algebra, Fourier Series and Transforms, Laplace Transforms, Complex Analysis, Probability and Statistics |
| MEB103 | Engineering Mechanics | Core | 4 | Statics, Dynamics, Friction, Work-Energy principle, Impulse-Momentum |
| CHB101 | Engineering Chemistry | Core | 4 | Water technology, Corrosion, Fuels, Polymers, Electrochemistry, Spectroscopy |
| ECB102 | Basic Electrical & Electronics Engineering Lab | Lab | 1 | Experiments on DC/AC circuits, Diode characteristics, Transistor amplifiers, Logic gates |
| EHB102 | Professional Communication Lab | Lab | 1 | Group discussions, Mock interviews, Presentation practice, Listening comprehension, Public speaking |
| CHB102 | Engineering Chemistry Lab | Lab | 1 | Water hardness, Viscosity, Acid-base titrations, Calorimetry, Spectrophotometry |
| CSB103 | Computer Aided Drafting | Lab | 1 | Introduction to CAD software, 2D drafting, 3D modeling, Assembly drawings, Plotting and printing |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MAB201 | Engineering Mathematics-III | Core | 4 | Linear Algebra, Complex Variables, Numerical Methods, Transform Techniques, Special Functions |
| CSB201 | Data Structures | Core | 4 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting and Searching |
| CSB202 | Digital Logic Design | Core | 4 | Boolean algebra, Logic gates, Combinational circuits, Sequential circuits, Registers and Counters |
| CSB203 | Object Oriented Programming | Core | 4 | Classes and Objects, Inheritance, Polymorphism, Abstraction, Encapsulation, Exception Handling |
| CSB204 | Operating Systems | Core | 4 | Process management, CPU scheduling, Memory management, File systems, I/O systems, Deadlocks |
| CSB205 | Data Structures Lab | Lab | 1 | Implementation of arrays, Linked lists, Stacks, Queues, Trees, Graph traversal algorithms |
| CSB206 | Digital Logic Design Lab | Lab | 1 | Logic gate implementation, Combinational circuit design, Sequential circuit design, Adder/Subtractor implementation |
| CSB207 | Object Oriented Programming Lab | Lab | 1 | C++ programming, Class and object implementation, Inheritance and polymorphism examples, File I/O |
| CSB208 | Operating Systems Lab | Lab | 1 | Linux commands, Shell scripting, Process creation and management, Threading, Synchronization |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB209 | Design and Analysis of Algorithms | Core | 4 | Asymptotic notations, Divide and Conquer, Greedy algorithms, Dynamic programming, Graph algorithms, NP-completeness |
| CSB210 | Database Management Systems | Core | 4 | ER model, Relational model, SQL, Normalization, Transaction management, Concurrency control |
| CSB211 | Computer Organization and Architecture | Core | 4 | Computer functional units, Data representation, Instruction set architecture, Memory hierarchy, I/O organization, Pipelining |
| CSB212 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| CSB213 | Microprocessors and Microcontrollers | Core | 4 | 8085/8086 architecture, Instruction set, Assembly language programming, Interfacing, Microcontrollers |
| CSB214 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of sorting algorithms, Searching algorithms, Graph algorithms, Dynamic programming problems |
| CSB215 | Database Management Systems Lab | Lab | 1 | SQL queries, Schema design, Database programming (PL/SQL or equivalent), Report generation |
| CSB216 | Microprocessors and Microcontrollers Lab | Lab | 1 | Assembly language programming, Interfacing experiments, Microcontroller programming |
| CSB217 | Seminar | Core | 1 | Technical presentation skills, Literature review, Report writing, Public speaking |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB301 | Computer Networks | Core | 4 | OSI/TCP-IP models, Data Link Layer, Network Layer, Transport Layer, Application Layer, Network security basics |
| CSB302 | Software Engineering | Core | 4 | Software development life cycle, Requirements engineering, Design patterns, Testing, Project management, Quality assurance |
| CSB303 | Artificial Intelligence | Core | 4 | AI problem solving, Search algorithms, Knowledge representation, Machine learning basics, Natural Language Processing |
| CSB304 | Web Technology | Core | 4 | HTML, CSS, JavaScript, Server-side scripting (PHP/ASP.NET), Database connectivity, Web security, Web services |
| DEE-I | Departmental Elective-I | Elective | 4 | Illustrative topics from CSB305 Compiler Design (one of the elective options): Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Other options include: Advanced Data Structures (CSB306), Digital Image Processing (CSB307), Data Warehousing & Data Mining (CSB308) |
| CSB309 | Computer Networks Lab | Lab | 1 | Network configuration, Socket programming, Protocol implementation, Network traffic analysis, Network security tools |
| CSB310 | Software Engineering Lab | Lab | 1 | Requirement analysis tools, UML diagrams, Design documentation, Testing tools, Version control |
| CSB311 | Web Technology Lab | Lab | 1 | HTML/CSS layouts, JavaScript DOM manipulation, Server-side scripting applications, Database integration, Web frameworks |
| CSB312 | Project-I | Project | 2 | Project planning, Requirement gathering, Design, Implementation, Documentation, Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB313 | Distributed Systems | Core | 4 | Distributed system architectures, Communication, Synchronization, Consistency and replication, Fault tolerance, Distributed file systems |
| CSB314 | Mobile Application Development | Core | 4 | Mobile OS architectures, UI/UX design, Application components, Data storage, Network connectivity, Security |
| CSB315 | Data Science | Core | 4 | Data collection, Data preprocessing, Exploratory Data Analysis, Machine learning algorithms, Data visualization, Big Data concepts |
| DEE-II | Departmental Elective-II | Elective | 4 | Illustrative topics from CSB316 Soft Computing (one of the elective options): Fuzzy logic, Neural networks, Genetic algorithms, Swarm intelligence, Hybrid systems, Other options include: Computer Graphics (CSB317), Advanced Operating Systems (CSB318), Cryptography and Network Security (CSB319) |
| HMM301 | Principles of Management | Core | 4 | Introduction to Management, Planning, Organizing, Staffing, Directing, Controlling |
| CSB320 | Distributed Systems Lab | Lab | 1 | Client-server programming, RPC, RMI, Distributed shared memory, Message passing interface |
| CSB321 | Mobile Application Development Lab | Lab | 1 | Android/iOS development environment, UI/UX implementation, Database integration, API consumption, Publishing |
| CSB322 | Data Science Lab | Lab | 1 | Python/R for data analysis, Data cleaning, Visualization, Machine learning model implementation, Big Data tools (e.g., Hadoop, Spark) |
| CSB323 | Industrial Training (Summer) | Internship | 2 | Industry exposure, Practical skill development, Professional ethics, Report writing, Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB401 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CSB402 | Cyber Security | Core | 4 | Information security concepts, Cryptography, Network security, Web security, Cyber laws, Digital forensics |
| DEE-III | Departmental Elective-III | Elective | 4 | Illustrative topics from CSB403 High Performance Computing (one of the elective options): Parallel computing models, Message passing interface, Shared memory programming, GPU computing, Distributed algorithms, Other options include: Cloud Computing (CSB404), Internet of Things (CSB405), Big Data Analytics (CSB406) |
| HMA401 | Managerial Economics | Core | 4 | Demand analysis, Production and cost analysis, Market structures, Pricing decisions, Capital budgeting |
| OEE-I | Open Elective-I | Elective | 4 | Topics depend on the chosen elective from a wide range of inter-disciplinary options available across various faculties |
| CSB407 | Compiler Design Lab | Lab | 1 | Lexical analyzer implementation, Parser development, Syntax tree generation, Intermediate code generation |
| CSB408 | Cyber Security Lab | Lab | 1 | Network scanning, Vulnerability assessment, Cryptographic tool usage, Firewall configuration, Intrusion detection systems |
| CSB409 | Project-II | Project | 2 | Advanced project development, System integration, Testing, Deployment, Documentation, Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSB410 | Machine Learning | Core | 4 | Supervised learning, Unsupervised learning, Reinforcement learning, Model evaluation, Neural networks, Deep learning basics |
| DEE-IV | Departmental Elective-IV | Elective | 4 | Illustrative topics from CSB412 Internet Programming (one of the elective options): Web protocols, Client-side scripting, Server-side programming, Web services, AJAX, Rich Internet Applications, Other options include: Natural Language Processing (CSB413), Advanced Database Management Systems (CSB414), Computer Vision (CSB415) |
| OEE-II | Open Elective-II | Elective | 4 | Topics depend on the chosen elective from a wide range of inter-disciplinary options available across various faculties |
| CSB416 | Project-III / Dissertation | Project | 4 | Independent research, Complex system development, Innovation, Scholarly writing, Defense |
| CSB417 | Seminar | Core | 1 | Advanced technical presentations, Research paper analysis, Critical thinking, Communication of technical concepts |
| CSB418 | Comprehensive Viva-Voce | Core | 4 | Comprehensive assessment of B.Tech knowledge, Oral examination, Understanding of core concepts across all semesters, Problem-solving skills |
