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B-TECH in Computer Science Engineering at Shanmugha Arts Science Technology & Research Academy (SASTRA)
Thanjavur, Tamil Nadu
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About the Specialization
What is Computer Science & Engineering at Shanmugha Arts Science Technology & Research Academy (SASTRA) Thanjavur?
This B.Tech Computer Science & Engineering program at SASTRA Deemed University focuses on providing a comprehensive foundation in computing principles and their applications. It emphasizes core areas like algorithms, data structures, software development, and emerging technologies, equipping students for the rapidly evolving Indian tech industry. The program fosters innovation and problem-solving skills, crucial for impactful contributions in a digital-first economy.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning, seeking entry into the dynamic field of technology. It also caters to aspiring innovators and entrepreneurs eager to build robust software solutions and those interested in cutting-edge areas like AI and Big Data. Enthusiastic problem-solvers with a passion for coding and digital transformation will thrive in this challenging yet rewarding curriculum.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as software developers, data scientists, cybersecurity analysts, and AI/ML engineers in leading product and service companies. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The strong curriculum aligns with industry certifications, facilitating rapid career growth and opportunities in the booming Indian IT sector and global markets.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to practice coding logic and syntax using C/Python. Actively solve problems on platforms like HackerRank and CodeChef to build a strong algorithmic foundation, critical for advanced courses and subsequent technical interviews. Focus on understanding data types, control structures, and functions thoroughly.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Python.org
Career Connection
Strong programming fundamentals are the bedrock for any software development role and are heavily tested in initial rounds of technical interviews for placements.
Develop Strong Academic Habits and Peer Learning- (Semester 1-2)
Focus on understanding core mathematical and scientific concepts thoroughly by attending all lectures, participating in tutorials, and clarifying doubts promptly. Form study groups with peers to discuss concepts, solve problems collaboratively, and prepare for continuous internal assessments effectively.
Tools & Resources
Textbooks, Lecture notes, Online academic forums, Peer study groups
Career Connection
A strong academic base improves problem-solving skills, which are essential for engineering challenges, and fosters teamwork abilities valued by employers.
Explore Emerging Technologies Early- (Semester 1-2)
Beyond coursework, explore basic concepts of AI, Machine Learning, and Data Science through online tutorials and introductory courses (e.g., NPTEL, Coursera). This early exposure sparks interest, helps in identifying potential specialization areas for future electives, and builds a basic understanding of industry trends.
Tools & Resources
NPTEL courses, Coursera/edX introductory courses, YouTube channels on tech, Tech blogs
Career Connection
Early exposure helps in making informed choices for electives and projects, leading to a specialized profile that can attract niche industry opportunities.
Intermediate Stage
Engage in Practical Project Work and Open Source- (Semester 3-5)
Actively participate in mini-projects, hackathons, and contribute to open-source projects. Apply theoretical knowledge from data structures, operating systems, and database courses to build real-world applications. Platforms like GitHub are essential for showcasing practical skills and version control expertise.
Tools & Resources
GitHub, GitLab, Hackathons (local and online), Industry specific project ideas
Career Connection
Hands-on projects demonstrate problem-solving, coding ability, and teamwork to potential employers, making resumes stand out during placements and internships.
Seek Industry Exposure through Internships- (Semester 4-5 (during summer breaks))
Aim for summer internships after the 4th semester in startups or mid-sized tech companies in India. This provides invaluable hands-on experience, an understanding of industry workflows, and networking opportunities. Even unpaid internships offer significant learning and a glimpse into corporate culture.
Tools & Resources
Internshala, LinkedIn Jobs, College placement cell, Company career pages
Career Connection
Internships are crucial for gaining real-world experience, building a professional network, and often lead to pre-placement offers, significantly boosting job prospects.
Deep Dive into Specialization Areas and Certifications- (Semester 4-6)
As electives become available, strategically choose courses that align with career interests (e.g., AI/ML, Cybersecurity, Data Analytics). Supplement classroom learning with advanced online courses or industry-recognized certifications in chosen niche areas to gain a competitive edge in specific domains.
Tools & Resources
Udemy, Coursera Specializations, Microsoft Azure Certifications, AWS Certifications
Career Connection
Specialized skills and certifications make candidates highly attractive for specific roles, improving chances for higher salaries and desired career paths.
Advanced Stage
Excel in Capstone Project and Research- (Semester 7-8)
Dedicate substantial effort to the final year project (Project Phase I & II), aiming for innovative solutions to real-world problems. Collaborate with faculty or industry mentors. A strong, well-documented project acts as a powerful portfolio piece for placements, higher studies, or entrepreneurial ventures. Consider publishing research papers based on project work.
Tools & Resources
Research journals, IEEE Xplore, Google Scholar, Departmental project guidance
Career Connection
A standout capstone project showcases advanced technical skills, innovation, and research capabilities, directly influencing premium placement offers and opportunities for further academic pursuits.
Intensive Placement Preparation- (Semester 6-8)
Begin rigorous preparation for placement drives focusing on aptitude, technical skills (coding, data structures, algorithms, system design), and communication. Participate in mock interviews and group discussions regularly. Leverage the university''''s career services for guidance, resume building, and workshops specific to leading Indian IT companies.
Tools & Resources
LeetCode, InterviewBit, Glassdoor, College placement cell resources, Mock interview platforms
Career Connection
Comprehensive preparation is key to cracking competitive placement interviews and securing desirable job offers from top-tier companies in India.
Build a Professional Network and Personal Brand- (Semester 6-8)
Actively attend industry conferences, webinars, and alumni meets. Connect with professionals, mentors, and recruiters on platforms like LinkedIn. Cultivate a strong online presence by showcasing projects and skills. Networking can open doors to opportunities beyond campus placements and provide invaluable insights into career growth and industry trends.
Tools & Resources
LinkedIn, Professional conferences (e.g., Nasscom events), Alumni association events
Career Connection
A robust professional network provides mentorship, job referrals, and stays updated on industry developments, crucial for long-term career success and leadership roles.
Program Structure and Curriculum
Eligibility:
- 10+2 with a minimum of 60% aggregate marks in Physics, Chemistry, and Mathematics (PCM). Admission based on JEE Main scores and 10+2 marks.
Duration: 8 semesters / 4 years
Credits: 170 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCHC101 | Calculus | Basic Science | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Ordinary Differential Equations |
| UPHC102 | Engineering Physics | Basic Science | 4 | Quantum Physics, Solid State Physics, Optics and Lasers, Electromagnetism, Semiconductor Devices |
| UEIC103 | Problem Solving and Python Programming | Engineering Science | 4 | Python Fundamentals, Data Types and Operators, Control Flow Statements, Functions and Modules, File Handling and Exceptions, Object-Oriented Programming Concepts |
| UHSC104 | English for Professionals | Humanities | 3 | Technical Communication Skills, Effective Writing, Presentation Strategies, Group Discussion Techniques, Reading Comprehension |
| UEIC105 | Computer Engineering Workshop | Lab | 2 | Hardware Assembly, Operating System Installation, Networking Basics, Productivity Software, Troubleshooting and Maintenance |
| UPHC106 | Engineering Physics Lab | Lab | 1 | Optics Experiments, Electricity and Magnetism, Semiconductor Characteristics, Measurement Techniques |
| UCHC107 | Applied Chemistry for Engineers | Basic Science | 3 | Electrochemistry, Corrosion Engineering, Water Technology, Polymer Science, Nanomaterials |
| UANC001 | Indian Constitution and Traditional Knowledge | Mandatory | 0 | Constitutional Framework, Fundamental Rights and Duties, Directive Principles, Traditional Indian Knowledge Systems, Intellectual Property Rights |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCHC201 | Linear Algebra and Numerical Methods | Basic Science | 4 | Matrices and Determinants, Vector Spaces, Eigenvalues and Eigenvectors, Numerical Solution of Equations, Interpolation and Approximation |
| UEIC202 | Circuit Analysis and Devices | Engineering Science | 4 | DC and AC Circuit Analysis, Network Theorems, Semiconductor Diodes, Transistors (BJT, FET), Amplifiers |
| UEIC203 | Data Structures and Algorithms | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting Algorithms, Searching Algorithms, Hashing Techniques |
| UPHC204 | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis, Instrumental Analysis, Synthesis of Polymers, Water Quality Parameters |
| UEIC205 | Data Structures and Algorithms Lab | Lab | 2 | Implementation of Linked Lists, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Practice |
| UEIC206 | Digital Logic Design | Core | 4 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory Elements, HDL for Digital Design |
| UHSC207 | Professional Ethics | Humanities | 2 | Ethical Theories, Professionalism in Engineering, Cyber Ethics, Environmental Ethics, Corporate Social Responsibility |
| UANC002 | Environmental Science | Mandatory | 0 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Renewable Energy Sources, Environmental Protection Acts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UMPC301 | Discrete Mathematics | Basic Science | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics, Recurrence Relations |
| UEIC302 | Computer Organization and Architecture | Core | 4 | CPU Organization, Memory Hierarchy, Input/Output Organization, Instruction Sets and Addressing Modes, Pipelining and Parallelism |
| UEIC303 | Object Oriented Programming | Core | 4 | Classes and Objects, Inheritance and Polymorphism, Abstraction and Encapsulation, Exception Handling, Templates and Generics |
| UEIC304 | Operating Systems | Core | 4 | Process Management, CPU Scheduling, Memory Management, File Systems, I/O Systems, Concurrency and Deadlocks |
| UEIC305 | Database Management Systems | Core | 4 | Relational Model, SQL and PL/SQL, ER Diagrams, Normalization, Transaction Management, Database Security |
| UEIC306 | Object Oriented Programming Lab | Lab | 1 | C++ / Java Programming, OOP Concepts Implementation, Data Abstraction, Polymorphism Practice |
| UEIC307 | Operating Systems Lab | Lab | 2 | Linux Commands and Shell Scripting, Process Management Experiments, CPU Scheduling Algorithms, Memory Allocation Techniques |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UBSC401 | Probability and Statistics | Basic Science | 4 | Probability Theory, Random Variables and Distributions, Joint Probability Distributions, Hypothesis Testing, Regression and Correlation |
| UCDC402 | Design and Analysis of Algorithms | Core | 4 | Algorithm Design Techniques, Time and Space Complexity Analysis, Divide and Conquer Algorithms, Dynamic Programming, Graph Algorithms, Greedy Algorithms |
| UCDC403 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Techniques, Project Management, Maintenance and Evolution |
| UCDC404 | Computer Networks | Core | 4 | OSI and TCP/IP Models, Physical Layer and Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer Protocols, Network Security Basics |
| UCDC405 | Web Technologies | Core | 4 | HTML5 and CSS3, JavaScript and DOM, Client-Side Scripting, Server-Side Scripting (e.g., Node.js, PHP), Web Frameworks (e.g., React, Angular), Database Connectivity for Web |
| UCDC406 | Software Engineering Lab | Lab | 1 | Requirements Analysis Tools, Design Modeling with UML, Testing Frameworks, Version Control Systems (Git) |
| UCDC407 | Computer Networks Lab | Lab | 2 | Network Device Configuration, Socket Programming, Packet Analysis with Wireshark, Routing Protocols Implementation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UHSC501 | Management Principles and Practices | Humanities | 3 | Functions of Management, Organizational Structures, Motivation and Leadership, Decision Making Techniques, Human Resource Management |
| UCDC502 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| UCDC503 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization, Code Generation |
| UCDC504 | Artificial Intelligence | Core | 4 | Introduction to AI, Search Algorithms, Knowledge Representation, Machine Learning Fundamentals, Natural Language Processing, Expert Systems |
| UCDC505 | Data Analytics | Core | 4 | Data Preprocessing, Exploratory Data Analysis, Statistical Methods for Data Analysis, Machine Learning Algorithms, Data Visualization, Big Data Technologies |
| UCDC506 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation, Intermediate Code Generation, Symbol Table Management |
| UCDC507 | Data Analytics Lab | Lab | 2 | Python for Data Science, R for Data Analytics, Data Visualization Tools, Machine Learning Libraries |
| UPEC5XX | Professional Elective I | Professional Elective | 3 | Cloud Architectures, Virtualization Technologies, Cloud Services (IaaS, PaaS, SaaS), Cloud Security, Deployment Models, Big Data on Cloud |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCDC601 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Deep Learning Fundamentals, Reinforcement Learning, Model Evaluation and Validation, Feature Engineering |
| UCDC602 | Cryptography and Network Security | Core | 4 | Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions and Digital Signatures, Network Security Protocols (SSL/TLS, IPSec), Firewalls and Intrusion Detection Systems |
| UCDC603 | Full Stack Development | Core | 4 | Frontend Frameworks (e.g., React, Angular), Backend Frameworks (e.g., Node.js, Spring Boot), Database Integration, API Development (RESTful), Deployment Strategies, Authentication and Authorization |
| UCDC604 | Machine Learning Lab | Lab | 2 | Python ML Libraries (Scikit-learn, TensorFlow), Data Preprocessing and Feature Selection, Implementation of Classification Algorithms, Regression Model Building |
| UCDC605 | Cryptography and Network Security Lab | Lab | 1 | Implementation of Cryptographic Algorithms, Network Scanning Tools, Firewall Configuration, VPN Setup and Testing |
| UCDC606 | Full Stack Development Lab | Lab | 2 | Web Application Development, API Integration, Database Interaction, Frontend UI Design |
| UPEC6XX | Professional Elective II | Professional Elective | 3 | Artificial Neural Networks, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Deep Learning Frameworks (PyTorch, Keras) |
| UPEC6XX | Professional Elective III | Professional Elective | 3 | Digital Image Fundamentals, Image Enhancement, Image Restoration, Image Segmentation, Feature Extraction |
| UOCXXX | Open Elective I | Open Elective | 3 | Interdisciplinary Topics, Cross-Disciplinary Skills, Communication Skills, General Awareness |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCDC701 | Big Data Technologies | Core | 4 | Hadoop Ecosystem (HDFS, MapReduce), Spark and Stream Processing, NoSQL Databases, Data Warehousing, Cloud-based Big Data Services, Data Governance |
| UCDC702 | Project Phase I | Project | 4 | Problem Identification, Literature Survey, System Design and Architecture, Methodology and Planning, Initial Implementation and Proof of Concept |
| UPEC7XX | Professional Elective IV | Professional Elective | 3 | Text Preprocessing, Language Models, Sentiment Analysis, Machine Translation, Information Extraction, Chatbots and Virtual Assistants |
| UPEC7XX | Professional Elective V | Professional Elective | 3 | IoT Architecture, Sensors and Actuators, IoT Communication Protocols, IoT Platforms and Cloud Integration, IoT Security and Privacy, Edge Computing |
| UOCXXX | Open Elective II | Open Elective | 3 | Interdisciplinary Research, Advanced General Knowledge, Societal Impact of Technology, Personal Development |
| UADC001 | Audit Course - Human Values | Mandatory | 0 | Ethics and Morality, Universal Human Values, Professional Conduct, Social Responsibility, Self-Exploration |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCDC801 | Project Phase II | Project | 10 | Advanced Implementation, Testing and Validation, Performance Optimization, Project Documentation, Demonstration and Presentation, Research Paper Writing |
| UPEC8XX | Professional Elective VI | Professional Elective | 3 | Cloud Computing Threats, Data Security in Cloud, Identity and Access Management, Cloud Compliance and Governance, Security as a Service (SecaaS), Incident Response in Cloud |
| UPEC8XX | Professional Elective VII | Professional Elective | 3 | Continuous Integration/Continuous Delivery (CI/CD), Containerization (Docker), Orchestration (Kubernetes), Infrastructure as Code (IaC), Monitoring and Logging, Automation and Scripting |
