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B-TECH in Computer Science Engineering at CHRIST (Deemed to be University)
Bengaluru, Karnataka
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About the Specialization
What is Computer Science Engineering at CHRIST (Deemed to be University) Bengaluru?
This B.Tech Computer Science Engineering program at CHRIST (Deemed to be University) focuses on equipping students with robust theoretical foundations and practical skills crucial for the dynamic software industry. It integrates core computing principles with emerging technologies, aligning with India''''s rapid digital transformation and growing demand for skilled tech professionals. The program emphasizes innovative problem-solving, fostering an environment for research and development.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for mathematics and logical reasoning, seeking entry into the technology sector. it also caters to individuals passionate about coding, algorithms, and system design. While primarily for freshers, the curriculum is structured to build skills from the ground up, making it suitable for those committed to a rigorous engineering pathway in computing.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including software development, data analytics, cybersecurity, and cloud engineering roles in leading IT companies and startups. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly higher. The program also prepares students for higher studies or entrepreneurship in the thriving Indian tech ecosystem.
Student Success Practices
Foundation Stage
Build Strong Programming Fundamentals- (Semester 1-2)
Dedicate time daily to practice fundamental programming concepts in C/Java. Focus on understanding data structures like arrays, linked lists, stacks, and queues thoroughly by implementing them from scratch. Actively participate in labs and clarify doubts immediately.
Tools & Resources
HackerRank, LeetCode (easy problems), GeeksforGeeks, NPTEL courses on Data Structures and Algorithms, College programming labs
Career Connection
A solid grasp of DSA is the cornerstone for cracking technical interviews at top IT firms and developing efficient, scalable software solutions.
Engage in Peer Learning and Project-Based Study- (Semester 1-2)
Form small study groups to discuss complex topics, solve problems collaboratively, and work on mini-projects beyond the curriculum. This helps in clarifying concepts, developing teamwork skills, and building a portfolio.
Tools & Resources
GitHub for version control, Online collaboration tools, College library resources, Senior mentors
Career Connection
Enhances problem-solving, communication, and collaboration skills, which are highly valued in team-oriented industry environments.
Develop Effective Time Management and Study Habits- (Semester 1-2)
Establish a disciplined study routine, balancing academics, extracurriculars, and personal time. Prioritize subjects based on difficulty and credit weightage. Utilize faculty office hours for personalized guidance.
Tools & Resources
Study planners (physical or digital), Calendar apps, College academic support services
Career Connection
Fosters self-discipline and organizational skills, critical for managing project deadlines and professional responsibilities in the long run.
Intermediate Stage
Pursue Specialization-Oriented Skill Development- (Semester 3-5)
Identify areas of interest (e.g., Web Development, AI, Data Science) and start learning related technologies beyond the syllabus. Complete online courses, build personal projects, and explore relevant open-source contributions.
Tools & Resources
Coursera, Udemy, edX, freeCodeCamp, Kaggle, GitHub, Specific development IDEs
Career Connection
Builds a strong technical portfolio, demonstrates initiative, and provides a competitive edge for internships and entry-level specialization roles.
Actively Seek Industry Exposure and Internships- (Semester 4-5)
Attend industry workshops, tech talks, and hackathons. Apply for summer internships after the 4th semester to gain practical experience, understand industry workflows, and build a professional network.
Tools & Resources
LinkedIn, Internshala, College placement cell, Networking events, Company career pages
Career Connection
Translates academic knowledge into practical skills, provides insights into career paths, and significantly boosts placement opportunities.
Strengthen Problem-Solving through Competitive Programming- (Semester 3-5)
Regularly participate in competitive programming contests to hone algorithmic thinking, data structure application, and coding efficiency. This is crucial for clearing technical rounds of major companies.
Tools & Resources
Codeforces, TopCoder, HackerEarth, Google Kick Start, ICPC-style contests
Career Connection
Directly prepares students for the rigorous problem-solving assessments commonly used by product-based companies during recruitment drives.
Advanced Stage
Focus on Real-World Major Projects and Research- (Semester 6-8)
Undertake significant major projects, either individually or in teams, addressing real-world problems. Integrate learned concepts, apply advanced technologies, and aim for publishable quality or functional products.
Tools & Resources
Advanced IDEs, Cloud platforms (AWS/Azure/GCP), Version control (Git), Project management tools
Career Connection
Creates a substantial portfolio, showcases technical depth, and is often a key differentiator during final placements or for entrepreneurial ventures.
Master Interview Skills and Placement Preparation- (Semester 7-8)
Dedicate consistent time to preparing for technical interviews, including mock interviews, behavioral questions, and HR rounds. Refine resume and cover letter writing. Understand company-specific hiring processes.
Tools & Resources
InterviewBit, LeetCode (medium/hard), Pramp, College placement cell workshops, Alumni network for mock interviews
Career Connection
Directly leads to successful placements in desired companies by ensuring students are well-prepared for all aspects of the recruitment process.
Network Strategically and Explore Advanced Certifications- (Semester 7-8)
Build a strong professional network by connecting with industry experts, alumni, and peers on platforms like LinkedIn. Consider pursuing industry-recognized certifications in cloud, AI/ML, or cybersecurity to validate specialized skills.
Tools & Resources
LinkedIn, Industry conferences, Professional forums, Certification platforms (e.g., AWS Certified Developer, Microsoft Certified Azure Administrator, Google Cloud Associate Engineer)
Career Connection
Opens doors to advanced roles, fosters career growth, and helps stay updated with evolving industry trends, essential for long-term professional success.
Program Structure and Curriculum
Eligibility:
- Pass in 10+2 with an aggregate of 50% marks in Physics, Chemistry and Mathematics and also 50% in Mathematics from any recognised Board in India (Karnataka PUC / ISC / CBSE / NIOS / IGCSE / ICSE) or an equivalent examination.
Duration: 8 semesters
Credits: 167 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE1AE101 | English I | Ability Enhancement Course | 2 | Communication Skills, Grammar and Usage, Vocabulary Building, Basic Writing Skills, Presentation Techniques, Reading Comprehension |
| UE1BS102 | Engineering Physics I | Basic Science Course | 3 | Wave Optics, Quantum Mechanics Principles, Solid State Physics, Lasers and Optical Fibers, Superconductivity Concepts, Nanomaterials |
| UE1BS103 | Engineering Chemistry I | Basic Science Course | 3 | Electrochemistry, Corrosion and its Control, Fuel Chemistry, Water Technology, Polymer Chemistry, Advanced Materials |
| UE1BS104 | Engineering Mathematics I | Basic Science Course | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Ordinary Differential Equations |
| UE1ES105 | Introduction to Computer Programming | Engineering Science Course | 4 | Programming Fundamentals, C Language Basics, Control Structures (loops, conditionals), Functions and Modular Programming, Arrays and Pointers, File Operations |
| UE1ES106 | Basic Electrical and Electronics Engineering | Engineering Science Course | 4 | DC and AC Circuits, Network Theorems, Transformers, PN Junction Diode, Transistor Characteristics, Operational Amplifiers |
| UE1PHL107 | Engineering Physics Lab | Basic Science Lab | 1 | Optics Experiments, Semiconductor Device Characteristics, Magnetic Field Measurements, Young''''s Modulus Determination, LCR Circuits, Strain Gauge Applications |
| UE1CHL108 | Engineering Chemistry Lab | Basic Science Lab | 1 | Volumetric Analysis, pH Metry and Conductometry, Colorimetric Determinations, Viscosity Measurements, Water Hardness Testing, Material Characterization |
| UE1CPL109 | Computer Programming Lab | Engineering Science Lab | 1 | C Programming Exercises, Debugging Techniques, Problem Solving through Code, Array and String Manipulations, Function Implementation, Pointers and Structures |
| UE1BEL110 | Basic Electrical and Electronics Engineering Lab | Engineering Science Lab | 1 | Verification of Circuit Laws, Diode and Zener Diode Characteristics, Transistor Biasing, Rectifier Circuits, Logic Gates Implementation, Op-Amp Applications |
| UE1ESL111 | Engineering Graphics | Engineering Science Lab | 1 | Orthographic Projections, Isometric Projections, Sections of Solids, Development of Surfaces, Introduction to AutoCAD, Machine Drawing Conventions |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE2AE201 | English II | Ability Enhancement Course | 2 | Advanced Communication Strategies, Technical Report Writing, Business Communication, Public Speaking, Group Discussion Techniques, Presentation Tools and Etiquette |
| UE2BS202 | Engineering Physics II | Basic Science Course | 3 | Electromagnetic Theory, Dielectric Materials, Magnetic Materials, Semiconductor Physics, Modern Physics, Quantum Computing Principles |
| UE2BS203 | Engineering Chemistry II | Basic Science Course | 3 | Chemical Kinetics, Phase Rule Applications, Spectroscopy Principles, Surface Chemistry, Green Chemistry, Biomolecules and their applications |
| UE2BS204 | Engineering Mathematics II | Basic Science Course | 4 | Linear Algebra (Matrices, Determinants), Vector Spaces, Eigenvalues and Eigenvectors, Numerical Methods, Laplace and Fourier Transforms, Partial Differential Equations |
| UE2ES205 | Data Structures and Algorithms | Engineering Science Course | 4 | Arrays and Linked Lists, Stacks and Queues, Trees (Binary, BST, AVL), Graphs and Traversals, Sorting Algorithms, Searching Algorithms |
| UE2ES206 | Engineering Mechanics | Engineering Science Course | 4 | Statics of Particles and Rigid Bodies, Equilibrium of Forces, Friction, Dynamics of Particles, Work-Energy Principle, Impulse-Momentum |
| UE2PHL207 | Engineering Physics Lab II | Basic Science Lab | 1 | Advanced Optics Experiments, Hysteresis Loss Measurement, Dielectric Constant Measurement, Hall Effect, Solar Cell Characteristics, Ultrasonic Interferometer |
| UE2CHL208 | Engineering Chemistry Lab II | Basic Science Lab | 1 | Instrumental Analysis, Spectrophotometry, Potentiometric Titrations, Corrosion Rate Determination, Green Synthesis Experiments, Water Quality Parameters |
| UE2DSL209 | Data Structures Lab | Engineering Science Lab | 1 | Implementation of Arrays and Linked Lists, Stack and Queue Operations, Binary Search Tree Operations, Graph Traversal Algorithms, Sorting and Searching Practice, Hashing Techniques |
| UE2EML210 | Engineering Mechanics Lab | Engineering Science Lab | 1 | Verification of Force Laws, Friction Experiments, Simple Lifting Machines, Moment of Inertia Measurement, Truss Analysis, Spring Testing |
| UE2ESL211 | Workshop Practice | Engineering Science Lab | 1 | Carpentry Shop Operations, Fitting Shop Operations, Welding Techniques, Foundry Processes, Sheet Metal Operations, Introduction to Machining |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE3HS301 | Constitution of India and Professional Ethics | Humanities and Social Sciences Course | 2 | Indian Constitution Framework, Fundamental Rights and Duties, Directive Principles, Professional Ethics Theories, Cyber Ethics and Security, Environmental Law and Policy |
| UE3BS302 | Probability and Statistics | Basic Science Course | 3 | Probability Theory, Random Variables and Distributions, Statistical Inference, Hypothesis Testing, Regression Analysis, Correlation |
| UE3PC303 | Digital Logic Design | Professional Core Course | 4 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory Elements, Hardware Description Languages (HDL) |
| UE3PC304 | Object Oriented Programming with Java | Professional Core Course | 4 | OOP Concepts (Encapsulation, Inheritance), Polymorphism and Abstraction, Java Language Features, Exception Handling, GUI Programming with AWT/Swing, Multithreading and Concurrency |
| UE3PC305 | Computer Organization and Architecture | Professional Core Course | 4 | Basic Computer Structure, Instruction Set Architectures, CPU Design and Pipelining, Memory Hierarchy, I/O Organization, Introduction to Parallel Processing |
| UE3ES306 | Environmental Science and Engineering | Engineering Science Course | 2 | Ecosystems and Biodiversity, Environmental Pollution, Waste Management, Climate Change and Global Issues, Renewable Energy Sources, Environmental Impact Assessment |
| UE3PC307 | Digital Logic Design Lab | Professional Core Lab | 1 | Logic Gate Implementation, Combinational Circuit Design, Flip-Flops and Latches, Counters and Registers, MUX/DEMUX Implementations, ADC/DAC Circuits |
| UE3PCL308 | Object Oriented Programming Lab | Professional Core Lab | 1 | Java Programming Practice, Class and Object Creation, Inheritance and Polymorphism Exercises, GUI Development with Java, File Input/Output, Database Connectivity (JDBC) |
| UE3SSL309 | Soft Skills and Communication Lab | Skill Based Course | 1 | Presentation Skills Development, Interview Preparation, Group Discussion Strategies, Resume and Cover Letter Writing, Professional Etiquette, Negotiation Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE4HS401 | Universal Human Values | Humanities and Social Sciences Course | 2 | Human Values and Ethics, Harmony in Self and Family, Harmony in Society, Harmony in Nature, Understanding Existence, Professional Ethics and Conduct |
| UE4BS402 | Discrete Mathematics | Basic Science Course | 3 | Mathematical Logic, Set Theory and Relations, Functions, Graph Theory, Combinatorics and Counting, Algebraic Structures |
| UE4PC403 | Operating Systems | Professional Core Course | 4 | OS Structures and Services, Process Management, CPU Scheduling, Deadlocks and Prevention, Memory Management, File Systems and I/O Systems |
| UE4PC404 | Database Management Systems | Professional Core Course | 4 | Data Models (ER, Relational), Relational Algebra and Calculus, SQL Query Language, Normalization, Transaction Management, Concurrency Control |
| UE4PC405 | Design and Analysis of Algorithms | Professional Core Course | 4 | Asymptotic Notations, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| UE4PCL406 | Operating Systems Lab | Professional Core Lab | 1 | Shell Scripting, Process Creation and Management, CPU Scheduling Algorithms Implementation, Synchronization Problems, Memory Allocation Strategies, File System Calls |
| UE4PCL407 | Database Management Systems Lab | Professional Core Lab | 1 | SQL Queries (DDL, DML, DCL), Schema Design and Implementation, Joins and Subqueries, Stored Procedures and Functions, Triggers and Views, Database Connectivity (ODBC/JDBC) |
| UE4SC408 | Web Technology Lab | Skill Based Course | 2 | HTML5 and CSS3 for Web Design, JavaScript for Client-Side Scripting, DOM Manipulation, Web Forms and Validation, Introduction to Responsive Design, Basic Server-Side Interaction |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE5PC501 | Theory of Computation | Professional Core Course | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines, Undecidability |
| UE5PC502 | Computer Networks | Professional Core Course | 4 | OSI and TCP/IP Models, Physical Layer Concepts, Data Link Layer Protocols, Network Layer (IP, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS) |
| UE5PC503 | Software Engineering | Professional Core Course | 4 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing and Quality Assurance, Software Project Management, Agile Software Development |
| UE5PE504 | Professional Elective – I (Choose one from list) | Professional Elective | 3 | Web Stack Development (Frontend, Backend, Databases), Data Warehousing and Mining (ETL, OLAP, Classification), Human Computer Interaction (Usability, User Centered Design), Advanced Data Structures (Trees, Hashing, Graph Algorithms) |
| UE5OE505 | Open Elective – I (Choose one from general pool) | Open Elective | 3 | Entrepreneurship and Startup Ecosystem (Business Models, Funding), Principles of Management (Functions, Leadership, HR), Marketing Management (Consumer Behavior, Market Research), Financial Accounting (Journals, Ledgers, Financial Statements) |
| UE5PCL506 | Computer Networks Lab | Professional Core Lab | 1 | Network Commands (ping, traceroute), Socket Programming, Packet Sniffing and Analysis, Router and Switch Configuration, Protocol Implementation, Network Security Tools |
| UE5SCL507 | Software Engineering Lab | Skill Based Lab | 1 | Requirements Analysis Tools, UML Diagramming, Software Design Tools, Test Case Generation, Version Control Systems (Git), Project Planning Tools |
| UE5SCL508 | Skill Development – I | Skill Based Course | 1 | Python Programming Basics, Data Analytics Fundamentals, Cloud Computing Introduction, Advanced Excel Skills, Problem Solving with Python, Command Line Interface Tools |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE6PC601 | Compiler Design | Professional Core Course | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization, Target Code Generation |
| UE6PC602 | Artificial Intelligence | Professional Core Course | 4 | AI Agents and Search Algorithms, Knowledge Representation and Reasoning, Machine Learning Fundamentals, Natural Language Processing Basics, Expert Systems, Game Playing AI |
| UE6PC603 | Cryptography and Network Security | Professional Core Course | 4 | Classical Cryptography, Symmetric Key Cryptography (AES, DES), Asymmetric Key Cryptography (RSA), Hashing and Digital Signatures, Network Security Protocols (SSL/TLS, IPSec), Firewalls and Intrusion Detection |
| UE6PE604 | Professional Elective – II (Choose one from list) | Professional Elective | 3 | Machine Learning (Supervised, Unsupervised Learning), Cloud Computing (IaaS, PaaS, SaaS, Virtualization), Distributed Systems (Architectures, Consensus, Fault Tolerance), Internet of Things (IoT Architecture, Protocols, Edge Computing) |
| UE6OE605 | Open Elective – II (Choose one from general pool) | Open Elective | 3 | Intellectual Property Rights (Patents, Trademarks, Copyrights), Financial Management (Investment, Working Capital, Budgeting), Organizational Behavior (Motivation, Leadership, Group Dynamics), Operations Research (Linear Programming, Queuing Theory) |
| UE6PCL606 | Artificial Intelligence Lab | Professional Core Lab | 1 | Python for AI and ML, Implementation of Search Algorithms, Constraint Satisfaction Problems, Logic Programming (Prolog), Machine Learning Libraries (Scikit-learn), Chatbot Development |
| UE6PCL607 | Cryptography and Network Security Lab | Professional Core Lab | 1 | Implementation of Cryptographic Algorithms, Network Scanning Tools (Nmap), Firewall Configuration, Intrusion Detection Systems, Digital Certificate Management, Vulnerability Assessment |
| UE6SCL608 | Skill Development – II | Skill Based Course | 1 | Cloud Platform Deployment (AWS/Azure/GCP), DevOps Tools (Docker, Kubernetes), UI/UX Design Principles, Data Visualization Tools, Big Data Fundamentals, Mobile Application Development Basics |
| UE6PR609 | Minor Project | Project | 2 | Problem Definition and Analysis, Literature Survey, System Design, Implementation and Testing, Project Report Writing, Technical Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE7PC701 | Data Science and Analytics | Professional Core Course | 4 | Data Preprocessing and Cleaning, Exploratory Data Analysis, Statistical Modeling for Data, Machine Learning Algorithms (Regression, Classification), Data Visualization Techniques, Big Data Technologies Introduction |
| UE7PE702 | Professional Elective – III (Choose one from list) | Professional Elective | 3 | Deep Learning (CNN, RNN, Transformers), Blockchain Technology (DLT, Smart Contracts, Consensus), Big Data Analytics (Hadoop, Spark, NoSQL), Game Programming (Game Engines, Graphics, AI for Games) |
| UE7PE703 | Professional Elective – IV (Choose one from list) | Professional Elective | 3 | Computer Graphics (Rendering, Shading, Ray Tracing), Natural Language Processing (Text Preprocessing, Language Models), Agile Software Development (Scrum, Kanban, DevOps), Cryptocurrencies and Decentralized Finance (Bitcoin, DeFi Protocols, NFTs) |
| UE7PR704 | Internship / Project Phase I | Project / Internship | 4 | Industry Exposure, Real-world Problem Identification, Project Planning and Scoping, Preliminary Research, Documentation and Reporting, Professional Communication |
| UE7PCL705 | Data Science and Analytics Lab | Professional Core Lab | 1 | Python/R for Data Science, Data Manipulation with Pandas/dplyr, Statistical Analysis with SciPy/stats, Machine Learning Model Building, Interactive Data Visualization, SQL for Analytics |
| UE7SCL706 | Technical Seminar | Skill Based Course | 1 | Research Skill Development, Technical Presentation Techniques, Literature Review and Synthesis, Critical Analysis of Technologies, Public Speaking Practice, Report Writing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE8PR801 | Major Project / Project Phase II | Project | 12 | Advanced Problem Solving, System Design and Architecture, Implementation and Integration, Extensive Testing and Debugging, Comprehensive Project Documentation, Project Management and Teamwork |
| UE8CI802 | Comprehensive Viva-Voce | Core Institutional | 2 | Overall Subject Knowledge Assessment, General Aptitude Evaluation, Communication Skills Assessment, Problem-Solving Ability, Interview Preparedness, Current Technological Trends |
