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B-E-B-TECH in Computer Science And Engineering at Barkatullah University, Bhopal
Bhopal, Madhya Pradesh
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About the Specialization
What is Computer Science and Engineering at Barkatullah University, Bhopal Bhopal?
This Computer Science and Engineering program at Barkatullah Vishwavidyalaya, Bhopal, focuses on equipping students with a robust foundation in computing principles and their applications. It emphasizes problem-solving, innovative design, and critical thinking, preparing graduates to tackle complex technological challenges in the rapidly evolving Indian tech industry. The curriculum covers core areas like programming, data structures, algorithms, operating systems, and networking, with options for specialization in emerging fields.
Who Should Apply?
This program is ideal for aspiring engineers who have completed their 10+2 education with a strong inclination towards science and mathematics. It caters to fresh graduates seeking entry into software development, data analytics, network administration, or research roles. It''''s also suitable for individuals with a foundational understanding of programming who wish to formalize their knowledge and pursue a structured engineering career in the Indian IT sector.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths such as Software Developers, Data Analysts, Network Engineers, System Architects, or IT Consultants within India. Entry-level salaries typically range from INR 3-6 LPA, growing significantly with experience to INR 8-15+ LPA. The program aligns with industry demands for skilled professionals, offering pathways to advanced studies and opportunities for professional certifications in various domains.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice C/C++ or Python programming by solving problems on platforms like HackerRank or LeetCode. Focus on understanding data types, control flow, functions, and basic algorithms.
Tools & Resources
GeeksforGeeks, CodeChef, Online C/C++ compilers
Career Connection
Strong programming fundamentals are the bedrock for all CSE roles, essential for cracking coding interviews and building efficient software.
Build Strong Mathematical & Logical Aptitude- (Semester 1-2)
Focus on understanding Engineering Mathematics concepts deeply and practice logical reasoning questions. This strengthens analytical skills crucial for algorithm design and complex problem-solving.
Tools & Resources
NCERT Math books, Online aptitude tests, Books by R.S. Aggarwal
Career Connection
A strong aptitude helps in competitive exams, higher studies, and designing efficient solutions in any technical role.
Participate in Technical Workshops & Clubs- (Semester 1-2)
Join university technical clubs related to coding, electronics, or robotics. Attend workshops and seminars to gain exposure to new technologies and build a foundational network with peers and faculty.
Tools & Resources
University Coding Club, Electronics Society, Annual Tech Fests
Career Connection
Early exposure to practical applications and networking can open doors to mentorship and future collaborative projects.
Intermediate Stage
Engage in Competitive Programming & Projects- (Semester 3-5)
Regularly participate in competitive programming contests (e.g., Codeforces, TopCoder) to sharpen problem-solving skills. Start working on mini-projects applying concepts from Data Structures, Algorithms, and OOP.
Tools & Resources
Codeforces, HackerEarth, GitHub for project collaboration
Career Connection
Excelling in competitive programming significantly boosts interview performance and demonstrates practical skill application to recruiters.
Seek Early Industry Exposure (Mini-Internships)- (Semester 3-5)
Look for short-term internships, often unpaid or with local startups, during summer breaks. Focus on understanding development cycles and specific technologies like web development, Android, or basic AI/ML.
Tools & Resources
Internshala, LinkedIn, Local startup networks
Career Connection
Practical industry experience, even short-term, is invaluable for understanding professional workflows and building a resume for future placements.
Develop a Strong Understanding of Core CSE Subjects- (Semester 3-5)
Thoroughly master subjects like Operating Systems, DBMS, and Computer Networks. Utilize online courses (Coursera, NPTEL) and textbooks beyond class notes to build deep theoretical and practical understanding.
Tools & Resources
NPTEL courses on OS/DBMS, Online tutorials, Standard textbooks
Career Connection
These core subjects form the basis of almost all software and IT infrastructure, crucial for advanced roles and technical interviews.
Advanced Stage
Specialize and Build a Portfolio- (Semester 6-8)
Choose electives wisely based on career interests (e.g., AI/ML, Cloud, IoT, Cyber Security). Develop 2-3 significant projects or a capstone project in your chosen specialization, showcasing practical expertise.
Tools & Resources
Kaggle for data science projects, AWS/Azure free tier for cloud projects, GitHub for project hosting
Career Connection
A specialized portfolio with strong projects directly demonstrates your capabilities to potential employers in specific tech domains.
Intensive Placement Preparation & Networking- (Semester 6-8)
Focus on company-specific preparation, including mock interviews, resume building, and aptitude tests. Network with alumni and industry professionals through LinkedIn and college events.
Tools & Resources
Placement cell resources, Mock interview platforms, LinkedIn for professional networking
Career Connection
Strategic preparation and networking are key to securing desirable placements and gaining insights into industry trends and opportunities.
Undertake Extensive Industrial Training/Internship- (Semester 7-8)
Secure a substantial internship (6-8 weeks or longer) in a reputable company. Aim for hands-on experience in a real-world development environment, applying learned concepts to practical problems.
Tools & Resources
University career services, Job portals like LinkedIn, Naukri, Direct company applications
Career Connection
A strong internship often leads to pre-placement offers, provides invaluable work experience, and enhances employability significantly.
Program Structure and Curriculum
Eligibility:
- As per MP DTE/AICTE norms. Generally, 10+2 with Physics, Chemistry, and Mathematics (PCM) from a recognized board, with required minimum percentage, often followed by a state or national level entrance examination score.
Duration: 8 semesters / 4 years
Credits: 184 Credits
Assessment: Internal: 30% (Theory), 60% (Practical), External: 70% (Theory), 40% (Practical)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101 | Engineering Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Matrices |
| PH101 | Engineering Physics – I | Core | 3 | Wave Optics, Laser and Fibre Optics, Quantum Mechanics, Solid State Physics, Crystallography |
| CH101 | Engineering Chemistry – I | Core | 3 | Water Technology, Fuels and Combustion, Lubricants, Corrosion and its Control, Engineering Materials |
| EE101 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Fundamentals, Transformers, Electrical Machines, Electrical Measuring Instruments |
| ME101 | Basic Mechanical Engineering | Core | 3 | Thermodynamics, IC Engines, Refrigeration and Air Conditioning, Power Transmission, Manufacturing Processes |
| CE101 | Basic Civil Engineering & Engineering Mechanics | Core | 3 | Building Materials, Surveying Principles, Introduction to Structures, Statics of Rigid Bodies, Dynamics of Particles |
| HU101 | Communication Skills | Core | 2 | Basic English Grammar, Reading Comprehension, Business Communication, Report Writing, Presentation Skills |
| CS101 | Computer Programming | Core | 3 | Programming Fundamentals, C Language Syntax, Control Structures, Functions and Arrays, Pointers and Strings |
| BT101 | Engineering Graphics | Lab | 2 | Orthographic Projections, Isometric Projections, Sectional Views, AutoCAD Basics, Dimensioning |
| PH102 | Engineering Physics Lab | Lab | 1 | Experiments on Optics, Laser Characteristics, Semiconductor Devices, Magnetic Properties, Electrical Measurements |
| CH102 | Engineering Chemistry Lab | Lab | 1 | Water Analysis, Fuel Testing, Viscosity Measurement, Corrosion Experiments, Material Characterization |
| CS102 | Computer Programming Lab | Lab | 1 | C Program Implementation, Conditional Statements, Looping Constructs, Functions and Arrays practice, Pointers and File Handling exercises |
| ME102 | Workshop Practice | Lab | 1 | Fitting Shop, Carpentry Shop, Welding Shop, Foundry Shop, Sheet Metal Shop |
| EE102 | Basic Electrical Engineering Lab | Lab | 1 | Circuit Laws Verification, AC Circuit Analysis, Transformer Testing, DC Motor Characteristics, Measurement of Electrical Quantities |
| HU102 | Language Lab | Lab | 1 | Phonetics, Group Discussions, Interview Skills, Public Speaking, Vocabulary Building |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201 | Engineering Mathematics – II | Core | 4 | Differential Equations, Laplace Transforms, Fourier Series, Partial Differential Equations, Complex Analysis |
| PH201 | Engineering Physics – II | Core | 3 | Semiconductor Physics, Dielectric Properties, Magnetic Properties, Superconductivity, Nanomaterials |
| CH201 | Engineering Chemistry – II | Core | 3 | Electrochemistry, Reaction Kinetics, Polymer Science, Green Chemistry, Spectroscopy |
| EE201 | Basic Electronics Engineering | Core | 3 | Semiconductor Diodes, Transistors BJT & FET, Rectifiers and Filters, Amplifiers and Oscillators, Digital Logic Gates |
| ME201 | Engineering Mechanics & Graphics | Core | 3 | Equilibrium of Forces, Friction, Moments of Inertia, Stress and Strain, Introduction to AutoCAD |
| CE201 | Building Materials & Construction | Core | 3 | Cement and Concrete, Bricks and Stones, Steel and Timber, Basic Construction Techniques, Building Planning |
| HU201 | Engineering Economics | Core | 2 | Microeconomics Principles, Demand and Supply, Cost Analysis, Market Structures, Macroeconomics Overview |
| CS201 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Searching Algorithms, Sorting Algorithms |
| EV201 | Environmental Engineering & Disaster Management | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution Control, Natural Resources Management, Types of Disasters, Disaster Mitigation and Preparedness |
| BT201 | Basic Electrical & Electronics Engineering Lab | Lab | 1 | Basic Circuit Measurements, Diode and Transistor Characteristics, Rectifier Circuits, Logic Gate Verification, Use of Multimeter and CRO |
| PH202 | Engineering Physics Lab – II | Lab | 1 | Experiments on PN Junction, Hall Effect, Measurement of Band Gap, Optical Fibre Loss, Magnetic Hysteresis |
| CH202 | Engineering Chemistry Lab – II | Lab | 1 | Acid-Base Titrations, Conductometry, Potentiometry, Viscosity Determination, Chemical Kinetics Experiments |
| CS202 | Data Structures Lab | Lab | 1 | Array and Linked List Operations, Stack and Queue Implementation, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Practice |
| ME202 | Engineering Graphics Lab | Lab | 1 | Sectional Views in AutoCAD, Development of Surfaces, Machine Drawing Conventions, Assembly Drawings, Orthographic Drawing Practice |
| CE202 | Surveying Lab | Lab | 1 | Chain Surveying, Compass Surveying, Plane Table Surveying, Levelling Instruments, Contouring |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Discrete Structure | Core | 3 | Set Theory and Logic, Relations and Functions, Algebraic Structures, Graph Theory, Combinatorics and Recurrence Relations |
| CS302 | Digital Circuits & Systems | Core | 3 | Number Systems and Codes, Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Memories and Programmable Logic |
| CS303 | Data Structures & Algorithms | Core | 3 | Algorithm Analysis, Advanced Data Structures (Trees, Graphs), Sorting and Searching Techniques, Hashing, Algorithm Design Paradigms |
| CS304 | Object Oriented Programming | Core | 3 | OOP Concepts (Encapsulation, Inheritance), Polymorphism and Abstraction, Classes and Objects in C++/Java, Exception Handling, File I/O and Templates |
| CS305 | Computer Organization & Architecture | Core | 3 | Basic Computer Structure, Instruction Sets and Addressing Modes, CPU Design and Control Unit, Memory Organization (Cache, Virtual Memory), Input/Output Organization |
| CS306 | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Applications, Binary Search Trees, Graph Traversal Algorithms, Complex Sorting Routines |
| CS307 | Object Oriented Programming Lab | Lab | 1 | C++/Java Program Development, Inheritance and Polymorphism Exercises, Abstract Classes and Interfaces, Exception Handling Practice, GUI Programming Basics |
| CS308 | Digital Circuits & Systems Lab | Lab | 1 | Logic Gate Verification, Combinational Circuit Design, Sequential Circuit Implementation, Flip-Flop Characteristics, Registers and Counters |
| CS309 | Industrial Training | Project | 2 | Industry Exposure, Problem Identification, Basic Project Implementation, Technical Documentation, Presentation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401 | Operating System | Core | 3 | OS Concepts and Services, Process Management and Scheduling, Deadlocks, Memory Management Techniques, File Systems and I/O Management |
| CS402 | Theory of Computation | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars and Languages, Pushdown Automata, Turing Machines, Undecidability and Complexity Classes |
| CS403 | Analysis & Design of Algorithms | Core | 3 | Algorithm Complexity Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms and NP-Completeness |
| CS404 | Database Management System | Core | 3 | DBMS Architecture, ER Model and Relational Model, Relational Algebra and SQL, Normalization, Transaction Management and Concurrency Control |
| CS405 | Data Communication & Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical Layer and Data Link Layer, Network Layer (IP Addressing, Routing), Transport Layer (TCP, UDP), Application Layer Protocols |
| CS406 | Operating System Lab | Lab | 1 | Shell Programming, Process Management using System Calls, CPU Scheduling Algorithms, Deadlock Avoidance and Prevention, Memory Allocation Algorithms |
| CS407 | Database Management System Lab | Lab | 1 | SQL Queries (DDL, DML, DCL), Stored Procedures and Functions, Trigger Implementation, Database Connectivity (JDBC/ODBC), Mini Project with DBMS |
| CS408 | Data Communication & Computer Networks Lab | Lab | 1 | Network Configuration Commands, Packet Tracing and Analysis, Socket Programming, Network Simulation Tools, Basic Network Security |
| CS409 | Mini Project | Project | 2 | Problem Definition, System Design, Coding and Implementation, Testing and Debugging, Project Report and Presentation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS501 | Computer Graphics | Core | 3 | Graphics Primitives and Algorithms, 2D and 3D Transformations, Clipping and Windowing, Visible Surface Detection, Projection Techniques |
| CS502 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Code Generation |
| CS503 | Artificial Intelligence | Core | 3 | Introduction to AI and Intelligent Agents, Search Algorithms (Heuristic, Adversarial), Knowledge Representation and Reasoning, Logic Programming (Prolog), Introduction to Machine Learning |
| CS504 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design Principles, Software Testing Strategies, Software Project Management |
| CS505 | Discipline Specific Elective – I | Elective | 3 | Option A: Distributed Computing (Introduction, Client/Server, Distributed OS, Consistency), Option B: Cyber Security (Threats, Cryptography, Network Security, Web Security), Option C: Machine Learning (Supervised/Unsupervised Learning, Regression, Classification, Clustering) |
| CS506 | Computer Graphics Lab | Lab | 1 | Line and Circle Drawing Algorithms, 2D and 3D Transformation Implementations, Clipping Algorithms, Polygon Filling, Interactive Graphics Programming |
| CS507 | Artificial Intelligence Lab | Lab | 1 | Prolog Programming, Heuristic Search Implementation, Knowledge Representation in Python, Simple Machine Learning Models, Expert System Development |
| CS508 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation (LL, LR), Intermediate Code Generation, Symbol Table Management, Simple Code Optimization Techniques |
| CS509 | Industrial Training / Field Work | Project | 2 | Industrial Environment Exposure, Practical Skill Development, Application of Theoretical Knowledge, Report Writing, Professional Communication |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS601 | Advanced Computer Architecture | Core | 3 | Pipelining and Instruction Level Parallelism, Superscalar and Vector Processors, Multiprocessors and Cache Coherence, Memory Hierarchy Design, Introduction to GPUs and Distributed Architectures |
| CS602 | Advanced Database Management Systems | Core | 3 | Query Processing and Optimization, Transaction Management and Concurrency Control, Distributed Databases, Object-Oriented and Object-Relational Databases, Data Warehousing and Data Mining Concepts |
| CS603 | Web Technology | Core | 3 | HTML5, CSS3, JavaScript Fundamentals, Client-Side and Server-Side Scripting, Web Servers and Application Servers, AJAX and JSON, Web Security Basics |
| CS604 | Cloud Computing | Core | 3 | Cloud Computing Concepts and Models, Virtualization Technology, Cloud Service Providers (IaaS, PaaS, SaaS), Cloud Security Challenges, Cloud Storage and Data Management |
| CS605 | Discipline Specific Elective – II | Elective | 3 | Option A: Data Mining & Data Warehousing (Data Preprocessing, OLAP, Association Rules, Classification, Clustering), Option B: Image Processing (Image Fundamentals, Enhancement, Segmentation, Feature Extraction, Compression), Option C: Big Data Analytics (Big Data Concepts, Hadoop Ecosystem, Spark, NoSQL Databases, Data Visualization) |
| CS606 | Web Technology Lab | Lab | 1 | Frontend Web Development (HTML, CSS, JS), Backend Development (PHP/Node.js/Python), Database Integration with Web Applications, AJAX and RESTful APIs, Deployment of Web Applications |
| CS607 | Cloud Computing Lab | Lab | 1 | Virtual Machine Creation and Management, Deploying Applications on Cloud Platforms, Cloud Storage Services, Load Balancing and Auto-scaling, Cloud Security Configuration |
| CS608 | Advanced Database Management Systems Lab | Lab | 1 | Query Optimization Techniques, Concurrency Control Implementation, Distributed Database Configuration, NoSQL Database Operations, Data Warehousing ETL Processes |
| CS609 | Project Phase – I | Project | 2 | Literature Survey, Problem Formulation, Requirements Analysis, Preliminary Design, Feasibility Study |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS701 | Software Project Management | Core | 3 | Project Planning and Estimation, Risk Management, Project Scheduling and Tracking, Software Quality Management, Configuration Management |
| CS702 | Internet of Things | Core | 3 | IoT Architecture and Protocols, Sensors and Actuators, Embedded Systems for IoT, Data Analytics in IoT, IoT Security and Privacy |
| CS703 | Discipline Specific Elective – III | Elective | 3 | Option A: Mobile Computing (Mobile OS, Wireless Networks, Mobile Application Development, Location-based Services), Option B: Information Storage & Management (Storage Systems, Data Center Environment, Disaster Recovery, Cloud Storage), Option C: Cryptography & Network Security (Classical Cryptography, Symmetric/Asymmetric Ciphers, Network Attacks, Firewalls, IDS) |
| CS704 | Open Elective – I | Elective | 3 | Various subjects offered by other departments like Management, Economics, Humanities, etc. |
| CS705 | Internet of Things Lab | Lab | 1 | Interfacing Sensors with Microcontrollers, MQTT/CoAP Protocol Implementation, Cloud Platform Integration for IoT, Data Visualization from IoT Devices, Smart System Prototyping |
| CS706 | Software Project Management Lab | Lab | 1 | Project Planning Tools (MS Project/Jira), Risk Assessment and Mitigation Strategies, Effort Estimation Techniques, Quality Assurance Activities, Version Control Systems |
| CS707 | Industrial Training / Internship | Project | 2 | Real-world Industry Experience, Professional Skill Enhancement, Teamwork and Communication, Problem-solving in Industrial Context, Internship Report and Presentation |
| CS708 | Project Phase – II | Project | 4 | Detailed Design and Architecture, Module Implementation, Integration Testing, Performance Evaluation, Documentation and Interim Report |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS801 | Soft Computing | Core | 3 | Fuzzy Logic and Fuzzy Sets, Artificial Neural Networks, Genetic Algorithms, Swarm Intelligence, Hybrid Soft Computing Systems |
| CS802 | Data Analytics | Core | 3 | Introduction to Data Analytics, Statistical Methods for Data Analysis, Predictive Modeling, Data Visualization Techniques, Big Data Tools and Platforms |
| CS803 | Discipline Specific Elective – IV | Elective | 3 | Option A: Distributed Systems (RPC, RMI, Distributed File Systems, Cloud Computing, Blockchain Basics), Option B: Natural Language Processing (Text Preprocessing, Language Models, POS Tagging, Named Entity Recognition, Sentiment Analysis), Option C: Deep Learning (Neural Network Architectures, CNN, RNN, Transformers, Frameworks like TensorFlow/PyTorch) |
| CS804 | Open Elective – II | Elective | 3 | Various subjects offered by other departments like Management, Economics, Humanities, etc. |
| CS805 | Soft Computing Lab | Lab | 1 | Fuzzy Logic Toolbox, Neural Network Implementation, Genetic Algorithm Applications, Swarm Intelligence Algorithms, Hybrid System Design |
| CS806 | Data Analytics Lab | Lab | 1 | Statistical Analysis using R/Python, Predictive Model Building, Data Visualization with Tools (Tableau/PowerBI), Working with Large Datasets, Case Studies in Data Analytics |
| CS807 | Project Phase – III | Project | 6 | Final System Development, Comprehensive Testing and Validation, Project Deployment, Thesis Writing and Presentation, Demonstration and Viva-Voce |
