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B-TECH in Computer Science Engineering at SIRDA Institute of Engineering & Technology for Women
Mandi, Himachal Pradesh
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About the Specialization
What is Computer Science & Engineering at SIRDA Institute of Engineering & Technology for Women Mandi?
This Computer Science & Engineering program at SIRDA Institute of Engineering & Technology for Women focuses on equipping students with a robust foundation in computing principles and modern software development practices. The curriculum is designed to meet the evolving demands of the Indian IT industry, emphasizing both theoretical knowledge and practical application. It prepares students for diverse roles in software development, data science, cybersecurity, and artificial intelligence, crucial for India''''s growing digital economy.
Who Should Apply?
This program is ideal for female fresh graduates seeking entry into the dynamic field of information technology, particularly those passionate about problem-solving and innovation. It also caters to individuals looking to upskill in cutting-edge technologies or career changers aspiring to transition into core computing domains. Strong analytical skills and an aptitude for mathematics are beneficial prerequisites for this comprehensive program.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths as Software Engineers, Data Analysts, Web Developers, AI/ML Engineers, or Cybersecurity Analysts in India. Entry-level salaries typically range from INR 3-6 LPA, with experienced professionals earning significantly more, reflecting robust growth trajectories in Indian tech companies. The curriculum also aligns with certifications in cloud computing, data science, and agile methodologies, enhancing employability.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate consistent time in Semesters 1-2 to deeply understand C/C++ programming and Data Structures. Participate in coding competitions to build problem-solving skills and learn efficient algorithms. This solid base is crucial for all advanced CS subjects.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Competitive Programming Clubs
Career Connection
Strong coding fundamentals are non-negotiable for placements in product-based companies and tech startups, forming the bedrock for technical interviews and future development roles.
Build a Strong Academic Network- (Semester 1-2)
Engage with faculty during office hours and collaborate with peers on assignments and mini-projects. Form study groups to clarify concepts, share knowledge, and prepare for exams. Mentorship from seniors can provide valuable insights into academic and career paths.
Tools & Resources
College Library, Departmental Labs, Student Clubs and Forums
Career Connection
Networking helps in peer learning, getting project ideas, and staying updated on opportunities, which can be critical for internships and referrals in the competitive Indian job market.
Develop Foundational English Communication- (Semester 1-2)
Actively participate in English communication classes and join language clubs. Practice public speaking, technical report writing, and professional email etiquette. Good communication is vital for presenting projects and excelling in group discussions during placements.
Tools & Resources
English Communication Lab, Toastmasters International (if available), Online grammar tools
Career Connection
Effective communication skills are highly valued by recruiters across all industries in India, enabling clear articulation of technical ideas and strong interpersonal collaboration.
Intermediate Stage
Pursue Elective Specialization and Projects- (Semester 3-5)
Identify areas of interest (e.g., AI/ML, Cybersecurity, Web Development) from Semester 5 electives and undertake related minor projects. Actively seek out faculty guidance for project ideas and implementation. Publish small research papers or project reports if possible.
Tools & Resources
GitHub, Kaggle, Open-source projects, Departmental Labs
Career Connection
Specialized projects demonstrate practical skills and passion, making candidates stand out in job applications and interviews for specific tech roles, especially in trending domains.
Gain Industry Exposure through Internships- (Semester 3-5)
Complete industrial training and seek out additional internships during summer breaks. Apply for internships at local tech companies, startups, or even remote opportunities. Focus on gaining hands-on experience with industry-standard tools and workflows.
Tools & Resources
LinkedIn, Internshala, Naukri.com, College Placement Cell
Career Connection
Internships are crucial for bridging the gap between academic knowledge and industry demands, often leading to pre-placement offers or enhancing résumés for better full-time opportunities in India.
Participate in Tech Workshops and Hackathons- (Semester 3-5)
Regularly attend workshops and seminars organized by the department or industry experts on emerging technologies. Participate in hackathons to apply knowledge under pressure, collaborate in teams, and build innovative solutions, fostering a competitive spirit.
Tools & Resources
Local tech communities, College Technical Clubs, Major tech event platforms
Career Connection
Participation showcases proactive learning, problem-solving abilities, and teamwork, which are highly sought after qualities by Indian tech recruiters. Winning events can also boost your profile.
Advanced Stage
Focus on Major Project and Portfolio Building- (Semester 6-8)
Dedicate significant effort to the Major Project in Semesters 7-8, selecting a topic aligned with career goals and industry trends. Document the entire process meticulously, and build a strong online portfolio showcasing all major projects, code, and contributions.
Tools & Resources
GitHub Profile, Personal Website/Blog, Major Project Guidance by Faculty
Career Connection
A well-executed major project and a visible portfolio are powerful tools for demonstrating practical expertise and attracting top employers in India, often serving as a key discussion point in interviews.
Intensify Placement Preparation- (Semester 6-8)
Start rigorous preparation for placements well in advance. Practice aptitude tests, logical reasoning, verbal ability, and technical interview questions (DSA, OS, DBMS, CN). Engage in mock interviews and group discussions to refine soft skills and confidence.
Tools & Resources
Online test platforms (e.g., PrepInsta, IndiaBix), InterviewBit, Career services from College Placement Cell
Career Connection
Dedicated and strategic placement preparation is directly linked to securing desirable job offers from leading companies during campus recruitment drives at Indian engineering colleges.
Engage in MOOCs and Certifications- (Semester 6-8)
Supplement classroom learning with Massive Open Online Courses (MOOCs) from platforms like Coursera, edX, or NPTEL in areas of specialization. Obtain industry-recognized certifications (e.g., AWS, Azure, Google Cloud, Cisco) to validate skills and enhance marketability.
Tools & Resources
Coursera, edX, NPTEL, Udemy, Official certification exam providers
Career Connection
Certifications and MOOCs demonstrate a commitment to continuous learning and provide verifiable skills that are highly valued by Indian employers, particularly for specialized roles in cloud, data, and cybersecurity.
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. Obtained at least 45% marks (40% in case of candidate belonging to reserved category) in the above subjects taken together.
Duration: 8 semesters / 4 years
Credits: 171 Credits
Assessment: Internal: 40% (for theory), 60% (for practicals), External: 60% (for theory), 40% (for practicals)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BAS-101 | Engineering Physics | Core | 4 | Wave Optics, Polarization and Lasers, Fibre Optics, Quantum Mechanics, Solid State Physics, Semiconductors |
| BAS-102 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Ordinary Differential Equations |
| BAS-103 | Engineering Chemistry | Core | 4 | Water Technology, Fuels and Combustion, Polymers, Corrosion, Phase Rule and Electrochemistry |
| BET-101 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Single and Three Phase Systems, Transformers, DC and AC Machines |
| BCS-101 | Programming for Problem Solving | Core | 3 | Programming Fundamentals, Data Types and Operators, Control Flow, Functions and Pointers, Arrays and Strings, Structures and File I/O |
| BWS-101 | Engineering Graphics & Design | Core | 3 | Drawing Instruments and Conventions, Orthographic Projections, Isometric Projections, Sectional Views, Introduction to CAD |
| BAS-101(P) | Engineering Physics Lab | Lab | 1 | Experiments on Wave Optics, Lasers and Fiber Optics, Semiconductor Devices, Electrical Measurements |
| BAS-103(P) | Engineering Chemistry Lab | Lab | 1 | Water Analysis Experiments, Fuel Properties, Polymer Synthesis, Electrochemistry Measurements |
| BET-101(P) | Basic Electrical Engineering Lab | Lab | 1 | Verification of Circuit Laws, Theorems on DC and AC Circuits, Transformer Characteristics, Motor Control |
| BCS-101(P) | Programming for Problem Solving Lab | Lab | 1 | C Programming Exercises, Conditional Statements, Looping Constructs, Function Implementation, Array and String Manipulation |
| BWS-101(P) | Workshop Practice | Lab | 1 | Carpentry Shop, Fitting Shop, Welding Shop, Sheet Metal Shop, Foundry Shop |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BAS-201 | Engineering Mathematics-II | Core | 4 | Matrices and Linear Algebra, Complex Numbers, Laplace Transforms, Fourier Series, Partial Differential Equations |
| BHS-201 | English for Communication | Core | 2 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Public Speaking, Report and Technical Writing |
| BME-201 | Engineering Mechanics | Core | 4 | Forces and Equilibrium, Friction, Centroid and Moment of Inertia, Kinematics of Particles and Rigid Bodies, Work, Energy, and Power |
| BEC-201 | Basic Electronics Engineering | Core | 4 | Semiconductor Devices, Diodes and Rectifiers, BJT and FET Transistors, Amplifiers, Operational Amplifiers |
| BCS-201 | Data Structures | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs, Searching and Sorting Algorithms |
| BCS-202 | Digital Electronics & Logic Design | Core | 3 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Registers and Counters, Memory Devices |
| BHS-201(P) | English for Communication Lab | Lab | 1 | Language Practice, Group Discussions, Presentations, Interview Skills, Role Plays |
| BEC-201(P) | Basic Electronics Engineering Lab | Lab | 1 | Diode Characteristics, Rectifier Circuits, Transistor Amplifier Circuits, Operational Amplifier Applications |
| BCS-201(P) | Data Structures Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Tree Traversals, Graph Algorithms, Sorting and Searching Practice |
| BCS-202(P) | Digital Electronics & Logic Design Lab | Lab | 1 | Logic Gate Realization, Combinational Circuit Design, Flip-Flop Applications, Counter Design, Arithmetic Circuits |
| BME-201(P) | Engineering Mechanics Lab | Lab | 1 | Friction Experiments, Verification of Laws of Mechanics, Simple Machine Principles, Force Analysis, Centroid Determination |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS-301 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Trees and Recursion, Combinatorics and Probability |
| BCS-302 | Object-Oriented Programming | Core | 3 | OOP Concepts, Classes, Objects and Encapsulation, Inheritance and Polymorphism, Exception Handling, File I/O and Templates |
| BCS-303 | Data Base Management System | Core | 3 | Database System Architecture, Relational Model and Algebra, SQL Queries, ER Modeling and Normalization, Transaction Management |
| BCS-304 | Computer Organization & Architecture | Core | 4 | Computer System Overview, CPU Design and Instruction Set, Memory Hierarchy, Input/Output Organization, Pipelining and Parallel Processing |
| BCS-305 | Operating System | Core | 3 | OS Concepts and Services, Process Management and Scheduling, Memory Management, File Systems, Deadlocks and Concurrency |
| BHS-301 | Environmental Science/EVS | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources, Waste Management, Environmental Ethics |
| BCS-302(P) | Object Oriented Programming Lab | Lab | 1 | C++ or Java Programming, Class and Object Implementation, Inheritance and Polymorphism Examples, Exception Handling Programs, File Operations |
| BCS-303(P) | Data Base Management System Lab | Lab | 1 | SQL DDL and DML Commands, Complex Queries, PL/SQL Programming, Database Design Exercises |
| BCS-305(P) | Operating System Lab | Lab | 1 | Linux Commands, Shell Scripting, Process Management Programs, CPU Scheduling Algorithms, Memory Allocation Techniques |
| BCS-306 | Soft Skills & Interpersonal Communication | Core | 1 | Self-Management Skills, Communication and Interpersonal Skills, Team Building, Presentation Skills, Resume and Interview Techniques |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS-401 | Design & Analysis of Algorithms | Core | 4 | Algorithm Analysis and Notations, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms and Complexity Classes |
| BCS-402 | Computer Networks | Core | 3 | Network Models (OSI/TCP-IP), Physical and Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer Services |
| BCS-403 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars and Pushdown Automata, Turing Machines, Undecidability and Complexity |
| BCS-404 | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design and Architecture, Software Testing Techniques, Software Project Management |
| BCS-405 | Web Technologies | Core | 3 | HTML and CSS, JavaScript and DOM, Web Servers and HTTP, Client-Side and Server-Side Scripting, AJAX and XML |
| BCS-401(P) | Design & Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Graph Traversal Algorithms, Dynamic Programming Problems, Greedy Algorithm Solutions |
| BCS-402(P) | Computer Networks Lab | Lab | 1 | Network Configuration, Socket Programming, Protocol Analysis Tools, Network Security Concepts |
| BCS-405(P) | Web Technologies Lab | Lab | 1 | Responsive Web Page Design, Client-Side Scripting with JavaScript, Server-Side Scripting Basics, Database Connectivity for Web |
| BCS-406 | Minor Project | Project | 2 | Project Planning and Design, Coding and Implementation, Testing and Debugging, Documentation and Presentation |
| BCS-407 | Industrial Training (4-6 weeks) | Training | 1 | Industry Exposure, Practical Skill Application, Project-Based Learning, Report Writing |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS-501 | Artificial Intelligence | Core | 3 | Introduction to AI and Intelligent Agents, Search Algorithms, Knowledge Representation, Machine Learning Basics, Expert Systems |
| BCS-502 | Compiler Design | Core | 4 | Introduction to Compilers, Lexical Analysis, Syntax Analysis, Semantic Analysis and Intermediate Code Generation, Code Optimization and Generation |
| BCS-503A | Data Mining & Data Warehousing | Elective | 3 | Data Warehousing Concepts, Data Preprocessing, Association Rule Mining, Classification Techniques, Clustering Algorithms |
| BCS-503B | Cryptography & Network Security | Elective | 3 | Classical Cryptography, Symmetric Key Cryptography, Asymmetric Key Cryptography, Hash Functions and Digital Signatures, Network Security Protocols |
| BCS-503C | Computer Graphics | Elective | 3 | Graphics Hardware, 2D and 3D Transformations, Clipping and Projections, Illumination Models and Shading, Hidden Surface Removal |
| BHS-501 | Universal Human Values & Professional Ethics | Core | 2 | Introduction to Value Education, Understanding Harmony, Professional Ethics, Holistic Development, Social Responsibilities |
| BCS-501(P) | Artificial Intelligence Lab | Lab | 1 | Python Programming for AI, Search Algorithms Implementation, Constraint Satisfaction Problems, Introduction to Machine Learning Libraries |
| BCS-503(P) | Professional Elective – I Lab | Lab | 1 | Implementation based on chosen elective (e.g., Data Mining tools, Cryptography algorithms, Graphics programming) |
| BCS-505 | Mini Project/Seminar | Project | 2 | Project Selection and Scope, System Design, Implementation and Testing, Technical Report Writing, Presentation Skills |
| BCS-504 | Open Elective – I | Elective | 3 | Topics depend on chosen elective from university pool (e.g., Disaster Management, Indian Constitution, Human Values) |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS-601 | Machine Learning | Core | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Neural Networks and Deep Learning Introduction, Model Evaluation and Selection |
| BCS-602 | Full Stack Development | Core | 3 | Front-End Development (e.g., React/Angular), Back-End Development (e.g., Node.js/Django), Database Integration, API Design and Development, Deployment and Version Control |
| BCS-603A | Cyber Security | Elective | 3 | Cybersecurity Fundamentals, Threats and Vulnerabilities, Network Security, Web and Application Security, Incident Response and Forensics |
| BCS-603B | Big Data Analytics | Elective | 3 | Big Data Concepts, Hadoop Ecosystem, Distributed File Systems, Data Processing Frameworks (e.g., Spark), NoSQL Databases |
| BCS-603C | Cloud Computing | Elective | 3 | Cloud Computing Paradigms, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technology, Cloud Security and Management |
| BCS-605 | Industrial Economics & Management | Core | 3 | Managerial Economics, Financial Management, Production and Operations Management, Marketing Management, Human Resource Management |
| BCS-601(P) | Machine Learning Lab | Lab | 1 | Implementation of ML Algorithms, Using Scikit-learn or TensorFlow/PyTorch, Data Preprocessing, Model Training and Evaluation |
| BCS-602(P) | Full Stack Development Lab | Lab | 1 | Developing Front-End Applications, Building RESTful APIs, Database Integration in Web Apps, User Authentication and Authorization |
| BCS-603(P) | Professional Elective – II Lab | Lab | 1 | Lab based on chosen elective (e.g., Network Security Tools, Hadoop/Spark exercises, Cloud platform usage) |
| BCS-606 | Internship/Training | Training | 3 | On-the-job training, Industry Best Practices, Project Work in Industry, Professional Networking |
| BCS-604 | Open Elective – II | Elective | 3 | Topics depend on chosen elective from university pool (e.g., Entrepreneurship, Financial Literacy, Disaster Management) |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS-701A | Digital Image Processing | Elective | 3 | Image Fundamentals, Image Enhancement, Image Restoration, Image Compression, Image Segmentation |
| BCS-701B | Internet of Things | Elective | 3 | IoT Architecture, IoT Devices and Sensors, Communication Protocols, IoT Data Analytics, IoT Security and Privacy |
| BCS-701C | Natural Language Processing | Elective | 3 | NLP Fundamentals, Text Preprocessing, Syntactic and Semantic Analysis, Machine Translation, Information Extraction |
| BCS-702A | Software Project Management | Elective | 3 | Project Planning and Estimation, Risk Management, Configuration Management, Quality Management, Agile Project Management |
| BCS-702B | Blockchain Technology | Elective | 3 | Cryptography Fundamentals, Distributed Ledger Technology, Consensus Mechanisms, Smart Contracts, Blockchain Platforms (e.g., Ethereum) |
| BCS-702C | Deep Learning | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Deep Learning Frameworks |
| BCS-704 | Minor Project/Research Paper | Project | 3 | Advanced Project Development, Literature Review, Research Methodology, Data Analysis, Thesis/Paper Writing |
| BCS-705 | Major Project – I | Project | 3 | Problem Definition, System Requirement Analysis, High-Level Design, Technology Selection, Initial Implementation |
| BCS-701(P) | Professional Elective – III Lab | Lab | 1 | Lab based on chosen elective (e.g., Image Processing using OpenCV, IoT sensor interfacing, NLP toolkits) |
| BCS-702(P) | Professional Elective – IV Lab | Lab | 1 | Lab based on chosen elective (e.g., Project Management tools, Blockchain dApp development, Deep Learning model implementation) |
| BCS-706 | MOOCs/Online Course | Elective | 2 | Advanced topics in Computer Science, Skill Certification, Self-Paced Learning, Industry-relevant courses |
| BCS-703 | Open Elective – III | Elective | 3 | Topics depend on chosen elective from university pool (e.g., Intellectual Property Rights, Organizational Behavior, Renewable Energy) |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCS-801A | Augmented Reality & Virtual Reality | Elective | 3 | AR/VR Fundamentals, Hardware and Software for AR/VR, 3D Graphics and Interaction, AR/VR Application Development, Challenges and Future Trends |
| BCS-801B | Quantum Computing | Elective | 3 | Quantum Mechanics Basics, Qubits and Quantum Gates, Quantum Algorithms (e.g., Shor''''s, Grover''''s), Quantum Error Correction, Quantum Hardware |
| BCS-801C | Robotics Process Automation | Elective | 3 | RPA Concepts and Benefits, RPA Tools (e.g., UiPath, Automation Anywhere), Bot Development, Process Design, RPA Implementation and Management |
| BCS-803 | Major Project – II | Project | 6 | System Implementation and Integration, Comprehensive Testing, Performance Optimization, Final Documentation, Project Defense and Presentation |
| BCS-804 | Industrial Seminar | Seminar | 2 | Emerging Technologies in Industry, Case Study Analysis, Technical Presentation Skills, Industry Trends and Future Scope |
| BCS-802 | Open Elective – IV | Elective | 3 | Topics depend on chosen elective from university pool (e.g., Rural Development, Constitution of India, Disaster Management) |
