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B-TECH in Computer Science Engineering at Central University of Rajasthan
Ajmer, Rajasthan
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About the Specialization
What is Computer Science & Engineering at Central University of Rajasthan Ajmer?
This Computer Science & Engineering program at Central University of Rajasthan focuses on building a strong foundation in theoretical computer science, algorithms, software development, and emerging technologies. It prepares students for the dynamic Indian IT industry by integrating core concepts with practical applications and fostering innovation. The program aims to create industry-ready professionals equipped to tackle complex challenges.
Who Should Apply?
This program is ideal for ambitious fresh graduates seeking entry into diverse tech roles in India, including software development, data science, cybersecurity, and AI. It also benefits aspiring entrepreneurs in the tech space and those keen on higher studies. Students with a strong aptitude for mathematics, logical thinking, and problem-solving, typically from a science background with PCM, will thrive in this curriculum.
Why Choose This Course?
Graduates of this program can expect promising career paths as software engineers, data analysts, AI/ML specialists, network engineers, and cybersecurity experts in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-8 lakhs per annum, with significant growth potential. The curriculum also aligns with industry certifications, enhancing employability and professional growth in the competitive Indian job market.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice coding problems in C/C++ or Python to build a strong base in logic, data structures, and algorithms. Focus on understanding concepts rather than just memorizing syntax. Actively participate in coding contests.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks, online tutorials (e.g., freeCodeCamp)
Career Connection
Essential for cracking technical interviews, logical reasoning, and building robust software solutions. Directly impacts placement opportunities.
Active Participation in Lab Sessions- (Semester 1-2)
Don''''t just complete lab assignments; actively experiment with different approaches, understand the underlying principles, and seek help from TAs/professors to clarify doubts. Document your learning and collaborate with peers.
Tools & Resources
Lab manuals, open-source IDEs, GitHub for version control
Career Connection
Develops practical problem-solving skills, debugging expertise, and hands-on experience crucial for industry roles and project execution.
Build a Strong Academic Network- (Semester 1-2)
Form study groups with peers to discuss complex topics, share resources, and collaboratively solve problems. Engage with seniors for guidance on courses, internships, and career paths, fostering a supportive learning environment.
Tools & Resources
University student forums, WhatsApp groups, LinkedIn
Career Connection
Enhances collaborative skills, provides diverse perspectives, and opens doors to mentorship and future professional opportunities within the university and beyond.
Intermediate Stage
Undertake Skill-Oriented Internships/Projects- (Semester 3-5 (especially during summer breaks))
Actively seek and complete internships or undertake self-driven projects in areas like web development, app development, data analysis, or embedded systems. Focus on applying theoretical knowledge to practical scenarios and building a portfolio.
Tools & Resources
LinkedIn, Internshala, company career pages, GitHub for portfolio, open-source project contributions
Career Connection
Provides invaluable industry exposure, builds a strong resume, and helps identify areas of specialization for future career growth. Crucial for final placements.
Explore Specialization Tracks and Electives- (Semester 4-5 (during elective selection))
Research different specialization areas (e.g., AI/ML, Cybersecurity, Cloud Computing) and choose electives wisely based on interest and market demand. Deep dive into chosen subjects beyond classroom lectures through online courses and advanced readings.
Tools & Resources
NPTEL courses, Coursera, Udemy, research papers, industry reports
Career Connection
Allows for focused skill development, making you a specialist in a high-demand field, which can lead to better job opportunities and higher starting salaries.
Participate in Competitive Programming & Tech Competitions- (Semester 3-5)
Regularly participate in online coding contests and university-level tech hackathons or coding challenges. This sharpens problem-solving, algorithmic thinking, and quick implementation skills under pressure.
Tools & Resources
Codeforces, TopCoder, Google Kick Start, ICPC, university tech fests
Career Connection
Demonstrates advanced problem-solving abilities to recruiters, helps in securing interviews, and builds a strong competitive profile highly valued by product-based companies.
Advanced Stage
Strategic Placement Preparation & Networking- (Semester 6-7)
Begin focused preparation for placements by refining your resume, practicing aptitude tests, mock interviews, and technical concept revisions. Network actively with alumni and industry professionals through workshops and career fairs.
Tools & Resources
Placement cell resources, Glassdoor, LinkedIn, interview preparation books, company websites
Career Connection
Maximizes chances of securing a desirable job offer from top companies, ensures readiness for the rigorous interview process and builds professional connections.
Undertake a Significant Capstone Project/Dissertation- (Semester 7-8)
Select a challenging final year project that demonstrates advanced skills and problem-solving. Aim for innovation, practical utility, or research potential, and present it professionally with a clear problem statement and solution.
Tools & Resources
Academic advisors, research databases, industry mentors, project management tools
Career Connection
A strong project acts as a powerful portfolio piece, showcasing your capabilities to potential employers and serving as a foundation for entrepreneurship or higher studies.
Develop Soft Skills & Professional Communication- (Semester 6-8)
Focus on improving presentation skills, technical writing, teamwork, and effective communication. These are critical for professional success, leadership roles, and interacting with clients/colleagues in the corporate world.
Tools & Resources
Public speaking clubs, communication workshops, mock group discussions, online courses on business communication
Career Connection
Essential for career progression, leadership roles, and effective collaboration in a corporate environment, often differentiating candidates with similar technical skills.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 with Physics and Mathematics as compulsory subjects along with one of the Chemistry/Biotechnology/Biology/Technical Vocational subject from any recognized Board with minimum 45% marks (40% for SC/ST/OBC/PWD/EWS category) in the above subjects taken together, and JEE Main valid score.
Duration: 4 years / 8 semesters
Credits: 150 Credits
Assessment: Internal: Theory Courses: 40%, Practical/Lab Courses: 50%, Project/Dissertation: 50%, External: Theory Courses: 60%, Practical/Lab Courses: 50%, Project/Dissertation: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PHT-101 | Engineering Physics | Core | 3 | Wave Optics, Lasers, Quantum Mechanics, Solid State Physics, Electromagnetic Theory |
| PHP-101 | Engineering Physics Lab | Lab | 1 | Experiments on Optics, Lasers Characteristics, Electronics Components, Modern Physics principles |
| EET-101 | Basic Electrical and Electronics Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, Diodes, Transistors |
| EEP-101 | Basic Electrical and Electronics Engineering Lab | Lab | 1 | Ohm''''s Law verification, KVL/KCL applications, PN junction diode characteristics, Rectifier circuits, BJT biasing |
| MET-101 | Engineering Graphics & Design | Core | 2 | Engineering Curves, Orthographic Projections, Sectional Views, Isometric Projections, Introduction to AutoCAD |
| MAT-101 | Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Sequences and Series |
| CST-101 | Programming for Problem Solving | Core | 3 | Programming Fundamentals, Data Types and Variables, Control Structures (loops, conditionals), Functions and Modular Programming, Arrays, Pointers, Strings |
| CSP-101 | Programming for Problem Solving Lab | Lab | 1 | C language programs, Implementation of conditional statements, Looping structures, Function usage, Array and String manipulations |
| HST-101 | English | Core | 2 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Public Speaking, Technical Report Writing |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CHT-101 | Chemistry | Core | 3 | Water Technology, Fuels and Combustion, Polymers and Composites, Corrosion and its control, Instrumental Methods of Analysis |
| CHP-101 | Chemistry Lab | Lab | 1 | Volumetric analysis, pH Metry, Conductivity measurements, Viscosity determination, Acid-Base titrations |
| MEP-101 | Workshop Manufacturing Practices | Lab | 1 | Carpentry tools and operations, Fitting shop practices, Welding techniques, Machining operations, Foundry processes |
| HST-102 | Environmental Science | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Climate Change and Global Warming, Waste Management, Environmental Ethics and Policies |
| MAT-102 | Mathematics-II | Core | 4 | Matrices and Linear Algebra, Ordinary Differential Equations, Laplace Transforms, Fourier Series, Probability and Statistics |
| CST-102 | Data Structure & Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| CSP-102 | Data Structure & Algorithms Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue operations, Tree traversals, Graph algorithms, Sorting and Searching implementations |
| CST-103 | Digital Electronics | Core | 3 | Number Systems and Codes, Logic Gates and Boolean Algebra, Combinational Logic Circuits (Adders, Multiplexers), Sequential Logic Circuits (Flip-Flops, Counters), Memory Elements |
| CSP-103 | Digital Electronics Lab | Lab | 1 | Logic gate implementation, Design of combinational circuits, Flip-Flop operation verification, Counter design, Register implementation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CST-201 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Algebraic Structures (Groups, Rings), Counting and Combinatorics |
| CST-202 | Computer Organization & Architecture | Core | 3 | Basic Computer Structure, Instruction Set Architecture, Control Unit Design, Memory Hierarchy, Input/Output Organization |
| CSP-201 | Computer Organization & Architecture Lab | Lab | 1 | Assembly language programming, CPU simulation models, Memory addressing schemes, Interrupt handling, Bus architectures |
| CST-203 | Operating Systems | Core | 3 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks and Concurrency |
| CSP-202 | Operating Systems Lab | Lab | 1 | Linux commands and utilities, Shell scripting, Process synchronization problems, System calls implementation, CPU scheduling algorithms |
| CST-204 | Object Oriented Programming | Core | 3 | Classes and Objects, Inheritance, Polymorphism, Abstraction and Encapsulation, Exception Handling |
| CSP-203 | Object Oriented Programming Lab | Lab | 1 | C++ or Java programming, Implementation of OOP concepts, Class design and usage, Inheritance and polymorphism examples, File I/O operations |
| CST-205 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Software Design Principles, Software Testing Techniques, Software Maintenance and Evolution |
| CSP-204 | Software Engineering Lab | Lab | 1 | Case tools for software development, UML diagramming, Requirements analysis document, Test case generation, Project documentation |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CST-206 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| CST-207 | Design and Analysis of Algorithms | Core | 3 | Algorithmic Paradigms (Divide & Conquer, Greedy), Complexity Analysis (Time & Space), Graph Algorithms, Dynamic Programming, NP-Completeness |
| CSP-205 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of sorting algorithms, Graph traversal algorithms (BFS, DFS), Dynamic programming solutions, Algorithm efficiency analysis, Greedy algorithm implementations |
| CST-208 | Database Management Systems | Core | 3 | DBMS Architecture, ER Model, Relational Model, SQL Queries and Operations, Normalization, Transaction Management |
| CSP-206 | Database Management Systems Lab | Lab | 1 | SQL query writing (DDL, DML), Database schema design, Frontend database connectivity, Stored procedures and triggers, Transaction control |
| CST-209 | Microprocessors | Core | 3 | 8085/8086 Microprocessor Architecture, Instruction Set, Assembly Language Programming, Memory Interfacing, Input/Output Interfacing |
| CSP-207 | Microprocessors Lab | Lab | 1 | 8085/8086 assembly programming, Interfacing with peripheral devices, Memory mapped I/O, Interrupt programming, Stepper motor control |
| HST-201 | Professional Ethics & Values | Core | 2 | Ethical Theories, Professionalism in Engineering, Cyber Ethics, Intellectual Property Rights, Corporate Social Responsibility |
| VAD-201 | Value Added Course-I | Core | 2 | Communication Skills, Presentation Techniques, Time Management, Personality Development, Interpersonal Skills |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CST-301 | Computer Networks | Core | 3 | Network Models (OSI, TCP/IP), Physical and Data Link Layer, Network Layer Protocols (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| CSP-301 | Computer Networks Lab | Lab | 1 | Network device configuration, Socket programming, Network traffic analysis (Wireshark), Routing protocol implementation, Client-server application development |
| CST-302 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| CST-303 | Artificial Intelligence | Core | 3 | AI Principles and Foundations, Search Algorithms (Heuristic Search), Knowledge Representation, Introduction to Machine Learning, Natural Language Processing basics |
| CSP-302 | Artificial Intelligence Lab | Lab | 1 | Python programming for AI, Implementation of search algorithms, Expert systems development, Introduction to AI libraries (e.g., NumPy), Simple machine learning tasks |
| PE-I | Program Elective-I (Example: Distributed Systems) | Elective | 3 | Distributed System Architectures, Inter-process Communication, Distributed Naming Services, Consistency and Replication, Fault Tolerance and Security |
| PE-IP | Program Elective-I Lab (Example: Distributed Systems Lab) | Lab | 1 | Remote Procedure Call (RPC) implementation, Distributed file systems, Message Passing Interface (MPI), Concurrency control in distributed systems, Distributed transaction processing |
| OE-I | Open Elective-I | Elective | 3 | Multidisciplinary topics, Economics principles, Sociology concepts, Public Administration basics, Foreign Language |
| ITP-301 | Industrial Training | Training | 2 | Practical industry exposure, Project implementation skills, Technical report writing, Professional work environment, Industry standard tools |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CST-308 | Cryptography and Network Security | Core | 3 | Cryptography Fundamentals, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions and Digital Signatures, Network Security Protocols (SSL/TLS, IPsec) |
| CSP-303 | Cryptography and Network Security Lab | Lab | 1 | Implementation of cryptographic algorithms, Network security tool usage, Packet sniffing and analysis, Firewall configuration, VPN setup |
| CST-309 | Machine Learning | Core | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Ensemble Methods, Introduction to Neural Networks |
| CSP-304 | Machine Learning Lab | Lab | 1 | Python Scikit-learn for ML, Data preprocessing techniques, Model training and hyperparameter tuning, Supervised learning algorithms implementation, Unsupervised learning applications |
| PE-II | Program Elective-II (Example: Cloud Computing) | Elective | 3 | Cloud Computing Paradigms (IaaS, PaaS, SaaS), Virtualization Technologies, Cloud Deployment Models, Cloud Security, Cloud Storage and Networking |
| PE-IIP | Program Elective-II Lab (Example: Cloud Computing Lab) | Lab | 1 | Virtual Machine setup and management, Cloud service deployment on platforms (e.g., AWS/Azure), Cloud storage access and management, Containerization (Docker), Serverless computing |
| OE-II | Open Elective-II | Elective | 3 | Basics of Management, Financial Management, Organizational Behavior, Principles of Psychology, Indian Heritage and Culture |
| CSP-305 | Mini Project | Project | 2 | Problem definition and scope, Design and architecture, Implementation and coding, Testing and debugging, Project report and presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CST-401 | Big Data Analytics | Core | 3 | Big Data Concepts and Challenges, Hadoop Ecosystem (HDFS, MapReduce), Spark Framework, NoSQL Databases, Data Stream Processing |
| CSP-401 | Big Data Analytics Lab | Lab | 1 | Hadoop setup and configuration, MapReduce programming, Spark application development, Hive and Pig queries, Cassandra/MongoDB usage |
| PE-III | Program Elective-III (Example: Internet of Things) | Elective | 3 | IoT Architecture and Protocols, Sensors and Actuators, IoT Communication Technologies, IoT Platforms and Data Analytics, IoT Security and Privacy |
| PE-IIIP | Program Elective-III Lab (Example: Internet of Things Lab) | Lab | 1 | Sensor interfacing with microcontrollers, Data acquisition from IoT devices, Cloud connectivity (e.g., MQTT, CoAP), IoT application development, Security measures in IoT |
| PE-IV | Program Elective-IV (Example: Full Stack Development) | Elective | 3 | Frontend Frameworks (React/Angular), Backend Development (Node.js/Django), Database Integration (SQL/NoSQL), RESTful API Design, Deployment and Hosting |
| PE-IVP | Program Elective-IV Lab (Example: Full Stack Development Lab) | Lab | 1 | Building responsive web UIs, Developing backend APIs, Database connectivity and ORMs, Authentication and authorization, Web application deployment |
| CSP-402 | Dissertation/Project-I | Project | 3 | Problem identification and analysis, Literature review, System design and methodology, Initial implementation and prototyping, Project planning and documentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| OE-III | Open Elective-III | Elective | 3 | Entrepreneurship Development, Human Rights and Social Justice, Introduction to Philosophy, Art and Aesthetics, Sustainable Development |
| CSP-403 | Dissertation/Project-II | Project | 12 | Advanced implementation and coding, Testing and quality assurance, Performance evaluation and optimization, Comprehensive report writing, Project presentation and defense |
