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BE-COMPUTER-ENGINEERING in General at SHREE RAYESHWAR INSTITUTE OF ENGINEERING AND INFORMATION TECHNOLOGY
South Goa, Goa
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About the Specialization
What is General at SHREE RAYESHWAR INSTITUTE OF ENGINEERING AND INFORMATION TECHNOLOGY South Goa?
This Bachelor of Engineering in Computer Engineering program at Shree Rayeshwar Institute of Engineering and Information Technology focuses on equipping students with a robust foundation in computing principles and practical skills. It covers core areas like programming, data structures, algorithms, operating systems, networking, and modern domains like AI, Machine Learning, and Data Science. The curriculum is designed to meet the evolving demands of the Indian IT industry, fostering innovation and problem-solving abilities.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics and logical reasoning, aspiring to build a career in the dynamic field of computer science and IT. It also suits individuals who are keen on software development, data analytics, artificial intelligence, or cybersecurity. A foundational understanding of programming concepts and a curious mindset towards technology are beneficial for prospective students.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles as software developers, data analysts, network engineers, AI/ML engineers, and cybersecurity specialists. Entry-level salaries typically range from INR 3-6 LPA, with experienced professionals earning significantly more. The program prepares students for roles in top Indian IT services companies, product-based firms, and startups, aligning with industry certifications like AWS, Azure, and Google Cloud.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Focus intensely on fundamental programming concepts using C/C++ or Python. Practice consistently on online platforms to build strong logical thinking and problem-solving skills, which are crucial for all advanced computer science subjects.
Tools & Resources
HackerRank, LeetCode, CodeChef, GeeksforGeeks, NPTEL courses on Programming
Career Connection
Essential for clearing technical rounds in placements, forming the base for software development and competitive programming roles.
Engage in Peer Learning & Study Groups- (Semester 1-2)
Form study groups with peers to discuss difficult topics, solve problems collaboratively, and prepare for exams. Teaching others reinforces your own understanding and exposes you to different perspectives, enhancing communication skills.
Tools & Resources
WhatsApp groups, Google Meet, Institutional library spaces, Whiteboards
Career Connection
Develops teamwork, communication, and leadership skills vital for collaborative work environments in the IT industry.
Explore Basic Software Tools & OS- (Semester 1-2)
Beyond academics, familiarize yourself with basic software development tools like IDEs (VS Code, Eclipse), version control systems (Git/GitHub), and different operating systems (Linux commands). This hands-on experience builds practical competence.
Tools & Resources
Git/GitHub, VS Code, Linux (Ubuntu/Fedora), YouTube tutorials, Free online courses
Career Connection
Employers value candidates who are familiar with industry-standard tools and development workflows from day one.
Intermediate Stage
Undertake Mini-Projects & Hackathons- (Semester 3-5)
Apply theoretical knowledge from data structures, algorithms, and web technologies by building small projects. Participate in hackathons to gain practical experience, work under pressure, and develop innovative solutions.
Tools & Resources
GitHub, Online hackathon platforms (Devpost), Open-source libraries, College innovation labs
Career Connection
Creates a strong portfolio, demonstrates problem-solving ability, and improves chances for internships and project-based roles.
Seek Industry Internships (Summer/Winter)- (Semester 4-5)
Actively search for and complete internships in relevant domains during academic breaks. This provides invaluable exposure to professional work environments, industry practices, and helps in networking.
Tools & Resources
LinkedIn, Internshala, College placement cell, Company career pages
Career Connection
Converts into pre-placement offers (PPOs) or provides critical experience for future job applications and career clarity.
Specialize through Elective Exploration- (Semester 5)
As you encounter diverse subjects like AI, Machine Learning, and Data Science, identify areas of interest. Begin exploring these specialized fields through online courses, certifications, and deeper dives into related topics.
Tools & Resources
Coursera, edX, Udemy, NPTEL, Specific technology blogs/forums
Career Connection
Helps in defining a career niche, building specialized skills, and standing out in competitive job markets for specific tech roles.
Advanced Stage
Develop a Capstone Project with Impact- (Semester 7-8)
Work on a significant final year project that solves a real-world problem or innovates within a chosen domain. Focus on comprehensive design, robust implementation, and thorough documentation, aiming for publishable quality or industry relevance.
Tools & Resources
Advanced IDEs, Cloud platforms (AWS, Azure), Specialized software, Mentor guidance
Career Connection
The capstone project is often a key talking point in interviews, showcasing advanced technical skills and independent problem-solving capabilities.
Intensive Placement Preparation & Mock Interviews- (Semester 6-8)
Dedicate time to rigorous placement preparation, including aptitude tests, technical rounds (DSA, OS, DBMS, Networks), and HR interviews. Participate in mock interviews with faculty, alumni, or professional trainers to refine communication and presentation skills.
Tools & Resources
Placement preparation books, Online test platforms (IndiaBix), Interview experiences on GeeksforGeeks, Professional coaches
Career Connection
Maximizes chances of securing high-quality placements in target companies and helps negotiate better offers.
Engage in Advanced Certifications & Research- (Semester 7-8)
Pursue advanced certifications in trending technologies (e.g., Cloud Architect, AI Engineer) or contribute to research papers/open-source projects. This demonstrates deep expertise and a commitment to continuous learning beyond the curriculum.
Tools & Resources
Official certification bodies (AWS, Google, Microsoft), Research journals, Open-source communities (GitHub), Faculty research labs
Career Connection
Provides a competitive edge for roles requiring specialized expertise, opens doors to R&D positions, and supports higher education pursuits (M.Tech, PhD).
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: 4 years / 8 semesters
Credits: 170 Credits
Assessment: Internal: Internal Assessment: 40 marks (for theory subjects), External: Term End Examination: 100 marks (for theory subjects); Practical Examination: 50 marks (for practical/oral subjects)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BE101 | Engineering Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Ordinary Differential Equations, Partial Differential Equations, Fourier Series |
| BE102 | Engineering Physics / Engineering Chemistry | Core | 4 | Physics: Waves and Optics, Quantum Physics, Solid State Physics, Electromagnetism, Modern Physics, Chemistry: Atomic Structure, Chemical Bonding, Thermodynamics, Electrochemistry, Organic Chemistry |
| BE103 | Engineering Mechanics / Basic Electrical Engineering | Core | 4 | Mechanics: Statics, Dynamics, Friction, Work-Energy Principles, Impulse-Momentum, Electrical: DC Circuits, AC Circuits, Transformers, Electrical Machines, Measuring Instruments |
| BE104 | Basic Electronics Engineering / Engineering Graphics | Core | 4 | Electronics: Diodes, Transistors, Rectifiers, Amplifiers, Digital Logic, Graphics: Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, AutoCAD Introduction |
| BE105 | Professional Communication | Core | 2 | Basics of Communication, Oral Communication, Written Communication, Presentation Skills, Group Discussion |
| BE106 | Engineering Physics Lab / Engineering Chemistry Lab | Lab | 2 | Practical experiments for Physics concepts, Practical experiments for Chemistry concepts |
| BE107 | Basic Electrical Engineering Lab / Engineering Mechanics Lab | Lab | 1 | Practical experiments for Electrical Engineering, Practical experiments for Engineering Mechanics |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BE201 | Engineering Mathematics – II | Core | 4 | Matrices, Vector Calculus, Multiple Integrals, Complex Numbers, Laplace Transforms |
| BE202 | Engineering Chemistry / Engineering Physics | Core | 4 | Chemistry: Water Technology, Fuels & Combustion, Polymers, Corrosion, Instrumental Methods, Physics: Wave Optics, Quantum Mechanics, X-rays, Lasers, Nanomaterials |
| BE203 | Basic Electrical Engineering / Engineering Mechanics | Core | 4 | Electrical: Three-Phase Circuits, Transformers, Induction Motors, DC Machines, Power Systems, Mechanics: Beams, Trusses, Centre of Gravity, Moment of Inertia, Vibrations |
| BE204 | Engineering Graphics / Basic Electronics Engineering | Core | 4 | Graphics: Projections of Points, Lines, Planes, Solids, Sections of Solids, Isometric Views, Electronics: Bipolar Junction Transistors, Field Effect Transistors, Operational Amplifiers, Digital Gates, Boolean Algebra |
| BE205 | Elements of Civil Engineering / Elements of Mechanical Engineering | Core | 3 | Civil: Building Materials, Surveying, Foundation Engineering, Water Resources, Transportation Engineering, Mechanical: Thermodynamics, Power Plants, Refrigeration, Manufacturing Processes, Machine Elements |
| BE206 | Engineering Chemistry Lab / Engineering Physics Lab | Lab | 2 | Practical experiments for Chemistry concepts, Practical experiments for Physics concepts |
| BE207 | Engineering Graphics Lab / Basic Electronics Engineering Lab | Lab | 1 | Practical experiments for Engineering Graphics, Practical experiments for Basic Electronics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301 | Engineering Mathematics – III | Core | 4 | Probability, Statistics, Random Variables, Transforms, Numerical Methods |
| CS302 | Digital Systems Design | Core | 4 | Number Systems, Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits |
| CS303 | Data Structures | Core | 4 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting Algorithms, Searching Algorithms |
| CS304 | Computer Organization | Core | 4 | Digital Logic, Data Representation, CPU Organization, Memory Hierarchy, I/O Organization |
| CS305 | Object Oriented Programming using C++ | Core | 4 | Classes and Objects, Inheritance, Polymorphism, Encapsulation, Exception Handling, Templates |
| CS306 | Data Structures Lab | Lab | 1 | Implementation of Data Structures, Algorithm Analysis and Complexity, Problem Solving with Data Structures |
| CS307 | Computer Organization Lab | Lab | 1 | Assembly Language Programming, CPU Simulation and Design, Memory Interfacing |
| CS308 | Object Oriented Programming Lab | Lab | 1 | C++ Programming Assignments, Object-Oriented Design Principles, Debugging and Testing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401 | Discrete Mathematics | Core | 4 | Set Theory, Logic and Proof Techniques, Relations and Functions, Graph Theory, Combinatorics |
| CS402 | Operating Systems | Core | 4 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks and Concurrency |
| CS403 | Design & Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| CS404 | Database Management Systems | Core | 4 | ER Models, Relational Algebra, SQL Queries, Normalization, Transaction Management |
| CS405 | Web Technologies | Core | 4 | HTML, CSS, JavaScript, DOM and AJAX, XML and JSON, Server-Side Scripting (PHP/Python), Web Security Basics |
| CS406 | Operating Systems Lab | Lab | 1 | Shell Scripting, Process Management Commands, Synchronization Problems |
| CS407 | Database Management Systems Lab | Lab | 1 | SQL Querying and Optimization, Database Design and Implementation, PL/SQL Programming |
| CS408 | Web Technologies Lab | Lab | 1 | Static and Dynamic Web Page Development, Client-Side Scripting, Server-Side Scripting Projects |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS501 | Computer Networks | Core | 4 | Network Models (OSI/TCP-IP), Physical and Data Link Layer, Network Layer Protocols, Transport Layer Protocols, Application Layer Services |
| CS502 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| CS503 | Artificial Intelligence | Core | 4 | AI Search Algorithms, Knowledge Representation, Logic Programming, Machine Learning Basics, Expert Systems |
| CS504 | Software Engineering | Core | 4 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Strategies, Software Project Management |
| CS505 | Data Science | Core | 4 | Data Collection and Preprocessing, Exploratory Data Analysis, Data Visualization, Statistical Modeling, Introduction to Machine Learning |
| CS506 | Computer Networks Lab | Lab | 1 | Network Simulation Tools, Socket Programming, Network Configuration and Troubleshooting |
| CS507 | Artificial Intelligence Lab | Lab | 1 | AI Programming (e.g., Python, Prolog), Implementation of Search Algorithms, Knowledge Representation Systems |
| CS508 | Data Science Lab | Lab | 1 | Data Analysis using Python/R, Data Visualization Techniques, Basic Machine Learning Implementations |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS601 | Distributed Systems | Core | 4 | Distributed Architectures, Inter-process Communication, Distributed Synchronization, Consistency and Replication, Fault Tolerance |
| CS602 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation and Validation, Neural Networks Basics |
| CS603 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CS604 | Professional Elective – I | Elective | 4 | Image Processing: Image Transforms, Enhancement, Segmentation, Parallel & Distributed Algorithms: Concurrency, Message Passing, Graph Algorithms, Cloud Computing: Cloud Architecture, Virtualization, Cloud Services, Advanced Data Structures: Heaps, B-Trees, Suffix Trees, Microcontrollers & Embedded Systems: Architecture, Interfacing, Embedded C |
| CS605 | Open Elective – I | Elective | 3 | Internet of Things: IoT Architecture, Sensors, Communication Protocols, Entrepreneurship & Start-ups: Business Plan, Market Analysis, Funding, Cyber Security Basics: Threats, Vulnerabilities, Cryptography, Network Security, Human Computer Interaction: UI Design, Usability, Interaction Models |
| CS606 | Machine Learning Lab | Lab | 1 | Implementation of ML Algorithms, Model Training and Evaluation, Data Preprocessing for ML |
| CS607 | Mini Project | Project | 2 | Project Planning and Design, Implementation and Testing, Technical Documentation and Presentation |
| CS608 | Internship / Institutional Training | Internship | 1 | Industry Exposure, Practical Skill Development, Professional Ethics and Conduct |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS701 | Cryptography & Network Security | Core | 4 | Symmetric and Asymmetric Key Cryptography, Hashing and Digital Signatures, Network Security Protocols (SSL/TLS, IPsec), Firewalls and Intrusion Detection, Web Security |
| CS702 | Professional Elective – II | Elective | 4 | Data Warehousing & Mining: OLAP, Association Rules, Classification, Big Data Analytics: Hadoop, MapReduce, Spark, NoSQL, Blockchain Technologies: Cryptographic Primitives, Consensus Algorithms, Smart Contracts, Natural Language Processing: Text Preprocessing, Language Models, Sentiment Analysis, Deep Learning: Neural Networks, CNNs, RNNs, Deep Learning Frameworks |
| CS703 | Professional Elective – III | Elective | 4 | Soft Computing: Fuzzy Logic, Neural Networks, Genetic Algorithms, Web Mining: Web Content, Structure, and Usage Mining, Digital Forensics: Evidence Collection, Network Forensics, Mobile Forensics, Robotics: Robot Kinematics, Dynamics, Control Systems, Wireless Sensor Networks: Network Architecture, MAC, Routing Protocols |
| CS704 | Open Elective – II | Elective | 3 | Mobile Application Development: Android/iOS Architecture, UI/UX, API Integration, Gaming Technology: Game Design, Graphics Rendering, AI in Games, Green Computing: Energy Efficiency, Sustainable IT, E-waste Management, Design Thinking: Empathize, Define, Ideate, Prototype, Test |
| CS705 | Industrial Project I / Research Project I | Project | 4 | Problem Statement Definition, Literature Review, Methodology Design, Initial Implementation and Results, Intermediate Report Preparation |
| CS706 | Cryptography & Network Security Lab | Lab | 1 | Implementation of Cryptographic Algorithms, Network Security Tools Usage, Vulnerability Assessment Techniques |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS801 | Professional Elective – IV | Elective | 4 | Quantum Computing: Qubits, Quantum Gates, Quantum Algorithms, High Performance Computing: Parallel Architectures, GPU Programming, Computer Vision: Image Segmentation, Object Detection, Deep Learning for Vision, Advanced Database Systems: Distributed, NoSQL, Data Streaming, Real Time Systems: RTOS, Scheduling, Communication |
| CS802 | Professional Elective – V | Elective | 4 | Ethical Hacking: Footprinting, Scanning, System Hacking, Malware, Virtual & Augmented Reality: VR/AR Hardware, 3D Graphics, Interaction Techniques, Optimization Techniques: Linear Programming, Evolutionary Algorithms, Social Network Analysis: Graph Theory, Centrality, Community Detection, Business Intelligence: Data Warehousing, OLAP, Predictive Analytics |
| CS803 | Industrial Project II / Research Project II | Project | 6 | Advanced Project Development, System Integration and Testing, Performance Evaluation, Thesis Writing and Presentation, Innovation and Research Contribution |
| CS804 | Technical Seminar | Seminar | 1 | Research Topic Selection, Literature Review, Technical Report Writing, Oral Presentation Skills, Q&A Handling |
