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B-TECH in Computer Science And Engineering at Maulana Azad National Institute of Technology, Bhopal
Bhopal, Madhya Pradesh
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About the Specialization
What is Computer Science and Engineering at Maulana Azad National Institute of Technology, Bhopal Bhopal?
This Computer Science and Engineering program at Maulana Azad National Institute of Technology Bhopal focuses on developing strong foundational knowledge and advanced skills in computing. It is designed to meet the growing demands of India''''s technology sector, emphasizing both theoretical understanding and practical application. The program integrates core CS principles with emerging technologies, preparing students for diverse roles in software development, data science, AI, and cybersecurity.
Who Should Apply?
This program is ideal for fresh graduates with a strong aptitude for mathematics and problem-solving, aspiring to build careers in the IT and software industries. It also caters to individuals seeking to transition into technology from other engineering disciplines, as well as those aiming for higher studies and research. A keen interest in programming, logic, and innovation is a key prerequisite.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including roles as Software Developers, Data Scientists, AI/ML Engineers, Cybersecurity Analysts, and Cloud Architects in top Indian IT firms and MNCs. Entry-level salaries typically range from INR 5-10 lakhs per annum, with significant growth trajectories. The curriculum often aligns with industry certifications, enhancing professional recognition and employability.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to understanding core programming concepts (e.g., C, Python) and data structures. Practice extensively on online coding platforms to build logical thinking and problem-solving skills, which are crucial for advanced subjects and competitive programming.
Tools & Resources
Hackerrank, CodeChef, GeeksforGeeks, NPTEL courses
Career Connection
A strong foundation in programming directly translates to better performance in technical interviews for internships and placements, especially for software development roles.
Build Strong Peer Networks and Study Groups- (Semester 1-2)
Collaborate with classmates on assignments and projects, sharing knowledge and diverse perspectives. Engage in discussions to clarify doubts and deepen understanding of complex engineering concepts. Organize regular study sessions to review material together.
Tools & Resources
WhatsApp groups, Discord channels, Departmental forums
Career Connection
Peer learning fosters teamwork and communication skills, which are highly valued in professional environments. It also creates a supportive learning ecosystem beneficial for academic excellence.
Actively Participate in Technical Clubs- (Semester 1-2)
Join departmental or institutional technical clubs (e.g., coding club, robotics club). Participate in workshops, hackathons, and small projects to gain practical experience beyond the curriculum and explore different domains within Computer Science.
Tools & Resources
MANIT CSE departmental clubs, Tech fests and competitions
Career Connection
Early exposure to practical applications and teamwork through clubs helps identify career interests and build a strong resume for future internships and competitive programming events.
Intermediate Stage
Engage in Mini-Projects and Open Source Contributions- (Semester 3-5)
Apply theoretical knowledge by undertaking mini-projects, either individually or in small teams. Explore open-source projects on platforms like GitHub to contribute and learn from real-world codebases. This enhances practical application and software development skills.
Tools & Resources
GitHub, GitLab, Kaggle, project-based learning platforms
Career Connection
Hands-on project experience is highly valued by recruiters for internships and full-time positions, demonstrating practical skills and initiative beyond academic coursework.
Seek Industry Exposure through Internships and Workshops- (Semester 3-5)
Actively look for short-term internships during summer or winter breaks in relevant technology companies. Attend industry workshops and seminars to understand current trends and technologies, bridging the gap between academic learning and industry demands.
Tools & Resources
Internshala, LinkedIn, College placement cell
Career Connection
Internships provide invaluable practical experience, network opportunities, and often lead to pre-placement offers, significantly boosting career prospects in the Indian job market.
Develop Specialized Skills and Certifications- (Semester 3-5)
Identify areas of interest (e.g., AI/ML, Cybersecurity, Cloud Computing) and pursue online courses or certifications. This helps in building a specialized skill set that aligns with industry demands and provides a competitive edge in placements.
Tools & Resources
Coursera, edX, Udemy, AWS/Azure certifications
Career Connection
Specialized skills and certifications enhance your profile, making you more attractive to companies seeking specific expertise, and can lead to higher-paying roles.
Advanced Stage
Focus on Major Projects with Real-world Impact- (Semester 6-8)
For your major projects, choose problems with real-world relevance or research potential. Work closely with faculty mentors, apply advanced concepts learned, and aim for demonstrable outcomes. Document your work meticulously for presentation and future reference.
Tools & Resources
Research papers, Journals, Conferences, Department labs
Career Connection
Successful major projects showcase advanced technical abilities, problem-solving skills, and a professional approach, which are critical for placements and postgraduate studies.
Intensive Placement Preparation and Mock Interviews- (Semester 6-8)
Start rigorous preparation for placements, focusing on data structures, algorithms, system design, and behavioral questions. Participate in mock interviews (technical and HR) conducted by the placement cell or senior students to refine your interview skills.
Tools & Resources
Placement cell resources, Glassdoor, LeetCode, Cracking the Coding Interview
Career Connection
Thorough preparation and mock interviews are essential for converting opportunities into successful placements with leading companies in India.
Explore Entrepreneurship or Higher Education Paths- (Semester 6-8)
For those inclined, explore entrepreneurship by developing innovative solutions with market potential or joining startup accelerator programs. Alternatively, prepare for competitive exams like GATE, GRE, or GMAT for higher education and research opportunities in India or abroad.
Tools & Resources
Startup incubators, NPTEL for GATE, Official exam preparation materials
Career Connection
These paths offer diverse career trajectories, enabling graduates to become innovators, researchers, or academicians, contributing significantly to India''''s knowledge economy.
Program Structure and Curriculum
Eligibility:
- Admission is primarily based on JEE Main scores. Candidates must have passed 10+2 or equivalent examination with Physics, Chemistry, and Mathematics as compulsory subjects from a recognized board, with a minimum aggregate percentage as prescribed by the institution and JoSAA/CSAB guidelines.
Duration: 4 years / 8 semesters
Credits: 163 Credits
Assessment: Internal: 50% (for practicals), 20-30% (for theory), External: 50% (for practicals), 50% (for theory)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BT101 | Engineering Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Differential Equations |
| BT102 | Engineering Physics | Core | 4 | Quantum Mechanics, Wave Optics, Solid State Physics, Lasers, Electromagnetism |
| BT103 | Engineering Chemistry | Core | 4 | Chemical Bonding, Electrochemistry, Organic Chemistry, Corrosion, Polymers |
| BT104 | Programming for Problem Solving | Core | 3 | C Programming Fundamentals, Control Flow, Functions, Arrays, Pointers, File I/O |
| BT105 | Engineering Graphics & Design | Core | 2 | Engineering Drawing Standards, Orthographic Projections, Isometric Projections, Sectional Views, CAD tools |
| BT106 | Engineering Workshop | Core | 2 | Carpentry, Fitting, Welding, Foundry, Machining |
| BT107 | Communication Skills | Core | 2 | Listening Skills, Speaking Skills, Reading Comprehension, Writing Skills, Presentation Techniques |
| BT108 | Universal Human Values | Core | 2 | Self-exploration, Human Relationships, Society, Nature, Professional Ethics |
| BT109 | Engineering Physics Lab | Lab | 1 | Error analysis, Experiments on optics, Electricity, Modern Physics |
| BT110 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, pH-metry, Conductometry, Spectroscopy |
| BT111 | Programming for Problem Solving Lab | Lab | 1 | C programming exercises, Debugging, Problem solving |
| BT112 | Environmental Studies | Core | 0 | Ecosystems, Biodiversity, Pollution, Renewable Energy, Environmental Policy |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BT201 | Engineering Mathematics – II | Core | 4 | Linear Algebra, Laplace Transforms, Fourier Series, Complex Analysis, Numerical Methods |
| BT202 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Transformers, Induction Motors, Power Systems |
| BT203 | Basic Electronics Engineering | Core | 4 | Semiconductors, Diodes, Transistors, Rectifiers, Amplifiers |
| BT204 | Data Structures | Core | 3 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting, Searching |
| BT205 | Engineering Economics | Core | 2 | Microeconomics, Macroeconomics, Demand & Supply, Cost Analysis, Project Evaluation |
| BT206 | Basic Electrical Engineering Lab | Lab | 1 | Ohm''''s Law, Kirchoff''''s Laws, AC Circuits experiments, Motor characteristics |
| BT207 | Basic Electronics Engineering Lab | Lab | 1 | Diode characteristics, Transistor circuits, Rectifier circuits |
| BT208 | Data Structures Lab | Lab | 1 | Implementation of Data Structures, Algorithm analysis |
| BT209 | Biology for Engineers | Core | 2 | Cell Biology, Genetics, Systems Biology, Biomolecules, Biotechnology |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Discrete Mathematics | Core | 4 | Logic, Set Theory, Relations and Functions, Graph Theory, Combinatorics, Algebraic Structures |
| CS302 | Computer Organization and Architecture | Core | 4 | Data Representation, CPU Design, Memory Hierarchy, I/O Organization, Pipelining |
| CS303 | Object-Oriented Programming | Core | 3 | Classes and Objects, Inheritance, Polymorphism, Encapsulation, Exception Handling |
| CS304 | Operating Systems | Core | 4 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks |
| BT301 | Professional Ethics | Core | 2 | Ethical Theories, Professionalism, Cyber Ethics, Intellectual Property, Workplace Ethics |
| BT302 | Technical Communication | Core | 2 | Technical Reports, Presentations, Scientific Writing, Group Discussion, Interviews |
| CS305 | Object-Oriented Programming Lab | Lab | 1 | C++/Java programming exercises, OOP concepts implementation |
| CS306 | Operating Systems Lab | Lab | 1 | Linux commands, Shell scripting, Process synchronization, Memory allocation |
| CS307 | Computer Organization and Architecture Lab | Lab | 1 | Assembly language programming, CPU simulation, Logic gates design |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401 | Design and Analysis of Algorithms | Core | 4 | Algorithm Complexity, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms, NP-Completeness |
| CS402 | Database Management Systems | Core | 4 | ER Model, Relational Model, SQL, Normalization, Transaction Management, Concurrency Control |
| CS403 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Design Patterns, Software Testing, Project Management |
| CS404 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| BT401 | Disaster Management | Core | 2 | Natural Disasters, Man-made Disasters, Risk Assessment, Mitigation Strategies, Response and Recovery |
| CS405 | Database Management Systems Lab | Lab | 1 | SQL queries, Database design, PL/SQL |
| CS406 | Software Engineering Lab | Lab | 1 | Requirement specification, UML diagrams, Software testing tools |
| CS407 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of algorithms, Performance analysis |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS501 | Computer Networks | Core | 4 | Network Layers, TCP/IP Protocol Suite, Addressing and Routing, Congestion Control, Application Layer Protocols |
| CS502 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CS503 | Artificial Intelligence | Core | 4 | Problem Solving Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| BT501 | Managerial Economics | Core | 2 | Demand Analysis, Production Theory, Cost Analysis, Market Structures, Pricing Strategies |
| PE-I | Program Elective - I (e.g., CSPE101 Data Warehousing & Data Mining) | Elective | 3 | Data Warehouse Architecture, OLAP, Data Preprocessing, Association Rules, Classification, Clustering |
| OE-I | Open Elective - I | Elective | 3 | Varies by elective choice |
| CS504 | Computer Networks Lab | Lab | 1 | Network simulation, Socket programming, Protocol implementation |
| CS505 | Compiler Design Lab | Lab | 1 | Lexer implementation, Parser implementation, Intermediate code generation |
| CS506 | Mini Project - I | Project | 2 | Problem definition, System design, Implementation, Testing, Project report |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS601 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning Basics, Model Evaluation |
| CS602 | Advanced Database Systems | Core | 4 | Distributed Databases, Object-Oriented Databases, NoSQL Databases, Data Security, Query Optimization |
| CS603 | Professional Practice and Internship | Core | 3 | Industry exposure, Project development, Professional communication, Report writing |
| PE-II | Program Elective - II (e.g., CSPE203 Cloud Computing) | Elective | 3 | Cloud Service Models, Virtualization, Cloud Security, Distributed Systems Concepts, Cloud Platforms (AWS/Azure) |
| OE-II | Open Elective - II | Elective | 3 | Varies by elective choice |
| CS604 | Machine Learning Lab | Lab | 1 | Implementation of ML algorithms, Python libraries (Scikit-learn, TensorFlow) |
| CS605 | Mini Project - II | Project | 2 | Advanced project development, Research methodology, Presentation skills |
| CS606 | Industrial Training / Internship (8 Weeks) | Core | 2 | Practical industry experience, Project implementation, Report submission |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS701 | Major Project - I | Project | 4 | Problem definition, Literature survey, System design, Partial implementation, Project report |
| PE-III | Program Elective - III (e.g., CSPE301 Cryptography & Network Security) | Elective | 3 | Symmetric Cryptography, Asymmetric Cryptography, Hash Functions, Digital Signatures, Network Security Protocols, Firewalls |
| PE-IV | Program Elective - IV (e.g., CSPE404 Deep Learning) | Elective | 3 | Neural Network Architectures, Backpropagation, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Generative Models |
| OE-III | Open Elective - III | Elective | 3 | Varies by elective choice |
| CS702 | Advanced Computer Networks Lab | Lab | 1 | Network security tools, SDN concepts, Wireless networks simulations |
| CS703 | Industrial Training Evaluation | Core | 2 | Evaluation of industrial training report, Presentation of internship work, Assessment of practical experience |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS801 | Major Project - II | Project | 8 | Final implementation, Testing and Evaluation, Project defense, Report finalization, Innovation and scalability |
| PE-V | Program Elective - V (e.g., CSPE502 Quantum Computing) | Elective | 3 | Quantum Mechanics Basics, Qubits and Quantum Gates, Quantum Algorithms (Shor''''s, Grover''''s), Quantum Cryptography, Quantum Error Correction |
| OE-IV | Open Elective - IV | Elective | 3 | Varies by elective choice |
