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B-E in Computer Science Engineering at SCT Institute of Technology
Bengaluru, Karnataka
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About the Specialization
What is Computer Science & Engineering at SCT Institute of Technology Bengaluru?
This Computer Science & Engineering program at SCT Institute of Technology focuses on equipping students with robust theoretical foundations and practical skills crucial for the dynamic IT industry in India. Leveraging the VTU curriculum, it emphasizes core computing principles, software development, data science, artificial intelligence, and network security, preparing graduates to address complex technological challenges and innovate within the rapidly evolving Indian tech landscape.
Who Should Apply?
This program is ideal for ambitious 12th-grade science stream graduates with a strong aptitude for mathematics and logical reasoning, seeking to build a career in technology. It also caters to individuals passionate about coding, problem-solving, and developing cutting-edge software solutions for various sectors of the Indian economy, including fintech, e-commerce, and healthcare.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths as Software Developers, Data Scientists, AI/ML Engineers, Cybersecurity Analysts, and Cloud Architects. Entry-level salaries typically range from INR 3.5-6 LPA, growing significantly with experience to INR 10-25+ LPA in leading Indian tech firms and MNCs. The program provides a strong foundation for pursuing higher studies or professional certifications like AWS, Azure, or Google Cloud.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate consistent time in Semesters 1 and 2 to build a strong foundation in C/C++ programming. Actively solve problems from textbooks and online platforms to solidify logic and syntax, ensuring readiness for advanced data structures and algorithms.
Tools & Resources
Hackerrank, CodeChef, GeeksforGeeks Basic Programming section, Local programming clubs
Career Connection
Strong programming fundamentals are non-negotiable for any software-related role, directly impacting problem-solving abilities in technical interviews and core development tasks.
Develop Effective Study Habits & Peer Learning- (Semester 1-2)
Form study groups to discuss concepts, especially in Mathematics and Physics/Chemistry, and to collaboratively solve problems. Regular revision and active participation in class are crucial for understanding the breadth of foundational engineering subjects.
Tools & Resources
Study groups, Library resources, Faculty office hours, Online tutorial videos for conceptual clarity
Career Connection
Fosters teamwork, communication skills, and diverse problem-solving approaches, valuable traits in any professional engineering environment.
Cultivate a Growth Mindset and Curiosity- (Semester 1-2)
Beyond academics, explore basic engineering concepts through mini-projects or hobby electronics. Read tech news and articles to understand the broader applications of engineering, fostering an early interest in specific domains.
Tools & Resources
YouTube channels (e.g., Veritasium, 3Blue1Brown), Tech blogs (e.g., Analytics Vidhya, The Hacker News), Basic Arduino/Raspberry Pi kits
Career Connection
Nurtures innovation and independent learning, making students adaptable to new technologies and career opportunities in India''''s fast-paced tech industry.
Intermediate Stage
Deep Dive into Data Structures and Algorithms (DSA)- (Semester 3-5)
Invest significant time in understanding and implementing core DSA concepts. Practice competitive programming rigorously on platforms like LeetCode and HackerRank to hone problem-solving skills, which are critical for technical interviews.
Tools & Resources
LeetCode, HackerRank, GeeksforGeeks DSA, Coding Ninjas/InterviewBit for structured practice
Career Connection
DSA proficiency is the cornerstone for cracking interviews at top tech companies in India and for building efficient software systems.
Build Practical Projects and Seek Internships- (Semester 4-5)
Apply theoretical knowledge by developing personal projects or contributing to open-source initiatives in areas like web development, app development, or basic AI/ML. Actively seek summer internships to gain real-world industry exposure.
Tools & Resources
GitHub, Kaggle (for data science projects), Local startups for internships, College career cell
Career Connection
Showcases practical skills and problem-solving abilities to potential employers, significantly enhancing employability and providing networking opportunities in the Indian tech ecosystem.
Explore Specializations through Electives and Workshops- (Semester 5-6)
Carefully choose professional electives that align with emerging industry trends like Data Science, Cloud Computing, or AI/ML. Supplement this with certifications or workshops to gain specialized skills beyond the curriculum.
Tools & Resources
NPTEL courses, Coursera/edX for specialized certifications, Industry workshops conducted by college/external bodies
Career Connection
Develops niche skills highly sought after by specific industry segments in India, opening doors to specialized roles and higher remuneration.
Advanced Stage
Focus on Industry Readiness and Placement Preparation- (Semester 6-7)
Intensify efforts on aptitude, verbal ability, and group discussion skills. Practice mock interviews with peers and mentors, and tailor your resume and portfolio based on targeted job roles. Attend placement preparation workshops actively.
Tools & Resources
PrepInsta, IndiaBix, Mock interview platforms, Alumni network for guidance
Career Connection
Directly impacts success in campus placements and secures entry into leading companies in India, maximizing career launch potential.
Undertake a Comprehensive Capstone Project- (Semester 7-8)
Engage in a substantial final year project (Phase 1 & 2) that demonstrates deep understanding and application of learned concepts, preferably addressing a real-world problem or utilizing advanced technologies. This becomes a significant talking point in interviews.
Tools & Resources
Industry mentors, Faculty advisors, Latest technologies (e.g., cloud platforms, AI frameworks), Research papers
Career Connection
A strong project showcases problem-solving, technical depth, and teamwork, often serving as a key differentiator in the competitive Indian job market.
Network and Stay Updated with Emerging Technologies- (Semester 7-8)
Attend tech conferences, seminars, and hackathons to network with industry professionals and stay abreast of the latest advancements in AI, Blockchain, IoT, etc. Participate in professional body chapters (e.g., IEEE, ACM) for leadership and knowledge sharing.
Tools & Resources
LinkedIn, Tech conferences (e.g., IndiaHacks, Google DevFest), Professional body memberships
Career Connection
Expands professional connections, identifies new opportunities, and ensures graduates remain competitive and relevant throughout their careers in the rapidly evolving Indian IT sector.
Program Structure and Curriculum
Eligibility:
- Passed 2nd PUC/12th Grade with Physics, Mathematics as compulsory subjects along with Chemistry/Biotechnology/Biology/Electronics/Computer Science with minimum 45% marks (40% for SC, ST, Category-1 and OBC (2A, 2B, 3A and 3B) category candidates) in the mentioned subjects taken together from any recognized Board/University. Candidates also have to qualify in KCET/COMEDK/JEE Main or any other entrance examination recognized by Government of Karnataka.
Duration: 8 semesters / 4 years
Credits: 157 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18MAT11 | Engineering Mathematics-I | Core | 4 | Differential Calculus, Integral Calculus, Vector Calculus, Differential Equations, Laplace Transforms |
| 18PHY12 | Engineering Physics | Core | 4 | Quantum Mechanics, Lasers, Optical Fibers, Material Science, Nanotechnology |
| 18ELE13 | Basic Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Transformers, DC Machines, AC Machines |
| 18CPS14 | Programming for Problem Solving | Core | 3 | Introduction to C, Operators and Expressions, Control Structures, Functions and Pointers, Arrays and Strings |
| 18EGDL15 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Perspective Projection |
| 18PHYL16 | Engineering Physics Laboratory | Lab | 1 | Laser Characteristics, Optical Fiber Experiments, LED and Photo diode characteristics, NPN transistor characteristics |
| 18ELEL17 | Basic Electrical Engineering Laboratory | Lab | 1 | KVL and KCL verification, Thevenin''''s and Norton''''s theorem, Star-Delta conversion, Single phase AC circuits |
| 18EGH18 | Technical English | Core | 1 | Technical Communication, Report Writing, Presentation Skills, Grammar and Vocabulary |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18MAT21 | Engineering Mathematics-II | Core | 4 | Linear Algebra, Eigenvalues & Eigenvectors, Vector Spaces, Complex Numbers, Fourier Series |
| 18CHE22 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion, Water Technology, Fuels & Combustion, Polymer Chemistry |
| 18CIV23 | Elements of Civil Engineering and Mechanics | Core | 4 | Building Materials, Surveying Fundamentals, Fluid Mechanics basics, Engineering Mechanics concepts, Dynamics of particles |
| 18ELN24 | Basic Electronics | Core | 3 | Semiconductor Diodes, Transistors and their characteristics, Rectifiers and Filters, Amplifiers, Digital Logic gates |
| 18CHEL26 | Engineering Chemistry Laboratory | Lab | 1 | Potentiometric Titration, Viscosity determination, pH measurement, Conductivity experiments |
| 18CIVL27 | Computer Aided Engineering Drawing | Lab | 1 | Orthographic projections using CAD, Isometric projections using CAD, Solid modeling, Assembly drawings |
| 18CPL28 | C Programming Laboratory | Lab | 1 | Arrays and Strings, Functions and Recursion, Pointers and dynamic memory, File I/O operations, Structures and Unions |
| 18CPC29 | Constitution of India, Professional Ethics & Human Rights | Mandatory Non-Credit | 0 | Indian Constitution, Fundamental Rights, Professional Ethics, Human Rights, Cyber Law |
| 18EVS29 | Environmental Studies | Mandatory Non-Credit | 0 | Ecosystems and Biodiversity, Environmental Pollution, Global Environmental Issues, Sustainable Development, Environmental Protection Acts |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18MAT31 | Transforms, Partial Differential Equations and Numerical Methods | Core | 4 | Laplace Transforms, Fourier Series, Partial Differential Equations, Numerical Methods, Finite Differences |
| 18CS32 | Data Structures and Applications | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Trees, Graphs and Traversals, Hashing and Sorting |
| 18CS33 | Analog and Digital Electronics | Core | 3 | Operational Amplifiers, Logic Gates, Combinational Circuits, Sequential Circuits, Digital to Analog Converters |
| 18CS34 | Computer Organization | Core | 3 | Basic Computer Architecture, CPU Organization, Memory System Design, I/O Organization, Pipelining and Parallelism |
| 18CS35 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Software Design Concepts, Software Testing Strategies, Project Management |
| 18CS36 | Discrete Mathematical Structures | Core | 3 | Set Theory and Logic, Relations and Functions, Graph Theory, Algebraic Structures, Recurrence Relations |
| 18CSL37 | Analog and Digital Electronics Laboratory | Lab | 1 | Op-Amp applications, Logic gates verification, Flip-flops and Counters, Shift registers |
| 18CSL38 | Data Structures Laboratory | Lab | 1 | Array and Linked List operations, Stack and Queue implementations, Tree traversals, Graph algorithms, Sorting and Searching |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18CS41 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 18CS42 | Microcontroller and Embedded Systems | Core | 4 | 8051 Microcontroller Architecture, ARM Processor, Embedded System Concepts, Real-Time Operating Systems, IoT applications |
| 18CS43 | Operating Systems | Core | 3 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks |
| 18CS44 | Object Oriented Concepts | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Exception Handling, Templates, File I/O |
| 18CS45 | Data Communication | Core | 3 | Network Models (OSI, TCP/IP), Physical Layer, Data Link Layer, Error Detection and Correction, Flow Control |
| 18CS46 | Introduction to Database Management Systems | Core | 3 | DBMS Architecture, ER Model, Relational Model, SQL Queries, Normalization |
| 18CSL47 | Microcontroller and Embedded Systems Laboratory | Lab | 1 | 8051 Assembly programs, Interfacing with I/O devices, Timer/Counter programming, Serial communication |
| 18CSL48 | Object Oriented Concepts Laboratory | Lab | 1 | Class and Object implementation, Inheritance and Polymorphism, Exception Handling mechanisms, File I/O operations, Generic programming using Templates |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18CS51 | Management and Entrepreneurship for IT Industry | Core | 3 | Management Functions, Entrepreneurship Development, Project Management, Financial Management, Marketing Management |
| 18CS52 | Computer Networks and Security | Core | 4 | Network Layer Protocols, Transport Layer Protocols, Application Layer Protocols, Network Security Fundamentals, Cryptography |
| 18CS53 | Database Management System | Core | 4 | Transaction Management, Concurrency Control, Recovery Systems, Query Processing and Optimization, NoSQL Databases |
| 18CS54 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| 18CS551 | Object Oriented Modeling and Design | Elective | 3 | UML Diagrams, Object-Oriented Analysis, Design Patterns, Use Case Modeling, Architectural Design |
| 18CS552 | Introduction to Data Science | Elective | 3 | Data Cleaning and Preprocessing, Data Visualization, Regression Models, Classification Algorithms, Clustering Techniques |
| 18CS553 | Advanced JAVA Programming | Elective | 3 | JDBC, Servlets and JSP, Enterprise Java Beans (EJB), Web Services, Spring Framework Introduction |
| 18CS554 | C# and .NET Framework | Elective | 3 | C# Language Fundamentals, .NET Framework Architecture, ADO.NET for database access, ASP.NET Web Applications, Language Integrated Query (LINQ) |
| 18CSL57 | Computer Network Laboratory | Lab | 1 | Network configuration commands, Socket programming (TCP/UDP), Routing protocols implementation, Network security tools, Packet analysis |
| 18CSL58 | DBMS Laboratory with Mini Project | Lab | 1 | SQL queries and subqueries, PL/SQL programming, Triggers and Procedures, Database design for mini-project, Application development with database |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18CS61 | System Software and Compilers | Core | 4 | Machine Architecture, Assemblers, Loaders and Linkers, Compilers Introduction, Lexical Analysis and Parsing |
| 18CS62 | Computer Graphics and Visualization | Core | 4 | Graphics Primitives, 2D/3D Transformations, Clipping Algorithms, Projections, Surface Generation and Rendering |
| 18CS63 | Web Technology and its Applications | Core | 3 | HTML5 and CSS3, JavaScript Programming, XML and AJAX, Server-side scripting (PHP/ASP.NET), Web Security Fundamentals |
| 18CS641 | Data Mining and Data Warehousing | Elective | 3 | Data Warehousing Concepts, OLAP and OLTP, Data Preprocessing, Association Rule Mining, Classification and Clustering |
| 18CS642 | Cloud Computing and its Applications | Elective | 3 | Cloud Architecture, Virtualization, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Security, Big Data on Cloud |
| 18CS643 | Advanced Computer Architecture | Elective | 3 | Parallel Computing, Vector Processors, Multiprocessors, Cache Coherence, Interconnection Networks |
| 18CS644 | Network Management | Elective | 3 | Network Monitoring Tools, SNMP Protocol, Network Configuration Management, Fault Management, Performance Management |
| 18CS645 | Digital Image Processing | Elective | 3 | Image Enhancement, Image Restoration, Image Segmentation, Feature Extraction, Image Compression |
| 18CSL66 | System Software and Compilers Laboratory | Lab | 1 | Lexical analyzer implementation, Parser design, Symbol table management, Code generation, Macro processor |
| 18CSL67 | Computer Graphics Laboratory with Mini Project | Lab | 1 | Line and circle drawing algorithms, 2D/3D Transformations, Clipping algorithms, Interactive graphics, Mini-project development |
| 18CSMP68 | Mini Project | Project | 2 | Problem identification, Design and analysis, Implementation and testing, Project report writing, Presentation skills |
| 18CS69 | Seminar | Seminar | 1 | Technical presentation, Research paper analysis, Communication skills development, Literature review |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18CS71 | Artificial Intelligence and Machine Learning | Core | 4 | AI Agents and Search Algorithms, Knowledge Representation, Machine Learning Basics, Supervised Learning, Unsupervised Learning |
| 18CS72 | Big Data Analytics | Core | 4 | Big Data Technologies, Hadoop Ecosystem, MapReduce Framework, Spark Programming, NoSQL Databases |
| 18CS731 | Software Architecture and Design Patterns | Elective | 3 | Architectural Styles, Design Patterns (Gang of Four), Microservices Architecture, Cloud Native Architecture, System Integration |
| 18CS732 | Advanced Database Management Systems | Elective | 3 | Distributed Databases, Object-Oriented Databases, Data Warehousing, Data Mining, Big Data Architectures |
| 18CS733 | Cryptography and Network Security | Elective | 3 | Symmetric/Asymmetric Encryption, Hashing and Digital Signatures, Firewalls and IDS/IPS, VPN Technologies, Web Security |
| 18CS734 | Wireless Sensor Networks | Elective | 3 | WSN Architecture, MAC Protocols for WSN, Routing Protocols in WSN, Localization Techniques, Security in WSN |
| 18CS741 | Deep Learning | Elective | 3 | Neural Networks, Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Autoencoders, Generative Adversarial Networks (GANs) |
| 18CS742 | Robotics Process Automation | Elective | 3 | RPA Tools and Platforms, Process Automation Strategies, Cognitive RPA, Machine Learning in RPA, Industry Use Cases of RPA |
| 18CS743 | Digital Forensics | Elective | 3 | Cybercrime Investigation, Digital Evidence Collection, Forensic Tools and Techniques, Network Forensics, Mobile Forensics |
| 18CS744 | Blockchain Technology | Elective | 3 | Cryptographic Primitives, Blockchain Architecture, Consensus Mechanisms, Smart Contracts, Decentralized Applications (DApps) |
| 18CSL75 | AI and ML Laboratory | Lab | 1 | Python for ML, Supervised Learning algorithms, Unsupervised Learning algorithms, Neural Network implementation, Data Preprocessing techniques |
| 18CSP76 | Project Work Phase - 1 | Project | 2 | Problem Definition, Literature Survey, System Design, Initial Prototype Development, Project Documentation |
| 18CSI77 | Internship | Internship | 2 | Industry exposure, Practical skill development, Professional communication, Report writing, Networking |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18CS81 | Internet of Things | Core | 4 | IoT Architecture, Sensors and Actuators, Communication Protocols (MQTT, CoAP), IoT Platforms (AWS IoT, Azure IoT), Security in IoT |
| 18CS821 | Data Visualization | Elective | 3 | Data Storytelling, Visualization Tools (Tableau, PowerBI), Interactive Visualization, Infographics, Dashboard Design |
| 18CS822 | Soft Computing | Elective | 3 | Fuzzy Logic, Artificial Neural Networks, Genetic Algorithms, Hybrid Systems, Swarm Intelligence |
| 18CS823 | Ad-hoc Networks | Elective | 3 | MANETs Architecture, Vehicular Ad-hoc Networks (VANETs), Routing Protocols for Ad-hoc Networks, Quality of Service in Ad-hoc Networks, Security in MANETs |
| 18CS824 | Green Computing | Elective | 3 | Energy Efficiency in IT, Green Data Centers, Green Software Development, Cloud Computing and Green IT, E-Waste Management |
| 18CS83 | Project Work Phase - 2 | Project | 10 | Advanced Development and Implementation, Comprehensive Testing and Validation, Performance Evaluation, Thesis Writing and Documentation, Project Presentation and Viva-Voce |
