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B-TECH-COMPUTER-SCIENCE-ENGINEERING in General at ST. JOSEPH ENGINEERING COLLEGE
Dakshina Kannada, Karnataka
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About the Specialization
What is General at ST. JOSEPH ENGINEERING COLLEGE Dakshina Kannada?
This B.Tech Computer Science Engineering program at St Joseph Engineering College focuses on equipping students with a robust foundation in computing principles and applications. It emphasizes core areas such as programming, data structures, algorithms, and advanced topics like artificial intelligence, machine learning, and cybersecurity. The curriculum is designed to meet the evolving demands of the Indian IT industry, preparing graduates for cutting-edge roles.
Who Should Apply?
This program is ideal for aspiring engineers who possess a strong aptitude for problem-solving, logical reasoning, and a keen interest in technology. It welcomes fresh graduates seeking entry into the diverse fields of software development, data science, and network engineering. Additionally, it caters to individuals passionate about innovation and those looking to contribute to India''''s burgeoning digital economy.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths as Software Developers, Data Scientists, AI/ML Engineers, Cybersecurity Analysts, and Cloud Architects within India''''s leading tech companies and startups. Entry-level salaries typically range from INR 4-8 lakhs per annum, with significant growth trajectories for experienced professionals. The curriculum also aligns with industry certifications, enhancing employability.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice core programming concepts in C and Java. Solve a minimum of 3-5 problems daily on platforms like HackerRank or CodeChef to build strong logical thinking and coding proficiency.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online C/Java Compilers
Career Connection
A solid foundation in programming is crucial for all IT roles, enabling efficient problem-solving in technical interviews and contributing effectively to software development projects.
Actively Participate in Technical Clubs- (Semester 1-2)
Join and actively contribute to the CSE department''''s technical clubs or student chapters like IEEE/ACM. Participate in coding competitions, workshops, and mini-projects to gain practical experience and network with peers and seniors.
Tools & Resources
Departmental Clubs (e.g., Code Warriors, AI/ML Club), IEEE/ACM Student Chapters
Career Connection
Develops teamwork, communication skills, and exposure to diverse technologies, which are highly valued in corporate environments and for building a strong resume.
Build Strong Mathematical & Scientific Aptitude- (Semester 1-2)
Focus on understanding the underlying mathematical and scientific principles taught in subjects like Calculus, Physics, and Chemistry. Practice quantitative aptitude questions regularly to strengthen analytical skills.
Tools & Resources
Khan Academy, NCERT textbooks, IndiaBix for aptitude practice
Career Connection
These foundational skills are essential for excelling in advanced subjects like algorithms, data science, and machine learning, and are frequently tested in placement aptitude rounds.
Intermediate Stage
Deep Dive into Data Structures and Algorithms- (Semester 3-5)
Beyond theoretical understanding, implement various data structures and algorithms from scratch. Participate in online competitive programming contests and focus on optimizing solutions for time and space complexity.
Tools & Resources
LeetCode, Spoj, InterviewBit, Visualgo.net
Career Connection
Mastery of DSA is a primary criterion for technical interviews at almost all major IT companies in India, leading to better placement opportunities in product-based companies.
Undertake Mini-Projects and Group Projects- (Semester 3-5)
Collaborate with peers on small-scale projects applying concepts from Operating Systems, DBMS, and Web Technologies. Focus on developing real-world applications using modern frameworks and tools.
Tools & Resources
GitHub, VS Code, Spring Boot, Node.js, Docker
Career Connection
Practical project experience showcases problem-solving abilities and technical skills to recruiters, making candidates more attractive for internships and entry-level positions.
Seek Industry Internships- (Semester 4-6)
Actively search for and pursue summer internships (2-3 months) with IT companies, startups, or research labs. This provides invaluable industry exposure and hands-on experience in a professional setting.
Tools & Resources
Internshala, LinkedIn Jobs, College Placement Cell
Career Connection
Internships are often a direct path to pre-placement offers (PPOs) and significantly boost employability by demonstrating practical skills and understanding of industry practices.
Advanced Stage
Specialize and Build a Strong Portfolio- (Semester 6-8)
Identify a domain of interest (e.g., AI/ML, Cybersecurity, Web Development) from electives and pursue advanced learning. Develop a significant capstone project or contribute to open-source initiatives to build a specialized portfolio.
Tools & Resources
Coursera, Udemy, edX, Kaggle, GitHub
Career Connection
A specialized skill set and a robust project portfolio demonstrate expertise, enabling graduates to secure roles in niche and high-demand areas with better compensation.
Intensive Placement and Interview Preparation- (Semester 7-8)
Engage in rigorous preparation for placement drives, including mock interviews, group discussions, and aptitude tests. Focus on company-specific preparation and brush up on core CS subjects and latest technologies.
Tools & Resources
Placement Cell workshops, Mock interview platforms, Previous year''''s question papers, Glassdoor
Career Connection
Systematic preparation maximizes chances of clearing multiple interview rounds and securing placements in desired companies, leading to a successful career launch.
Network Professionally and Seek Mentorship- (Semester 7-8)
Attend industry conferences, tech meetups, and alumni events. Connect with professionals on LinkedIn and seek mentorship to gain insights into career paths, industry trends, and job opportunities.
Tools & Resources
LinkedIn, Tech events (online/offline), Alumni network
Career Connection
Professional networking can open doors to unadvertised jobs, mentorship opportunities, and valuable career guidance, crucial for long-term career growth in India''''s competitive job market.
Program Structure and Curriculum
Eligibility:
- Passed PUC (10+2) or equivalent with English, 45% aggregate in Physics and Mathematics as compulsory subjects, along with Chemistry / Bio-Technology / Biology / Electronics / Computer Science / Technical Vocational subject. (40% for SC/ST, Category-I and OBC candidates of Karnataka state). Admission through KEA/COMEDK/SJEC Management Quota.
Duration: 8 Semesters / 4 years
Credits: 141 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MATS11 | Multivariable Calculus and Linear Algebra | Core | 4 | Vector Spaces, Eigenvalues and Eigenvectors, Calculus of Several Variables, Partial Derivatives, Multiple Integrals |
| 23PHTS12 | Engineering Physics | Core | 3 | Quantum Mechanics, Lasers and Optical Fibers, Superconductivity, Material Science, Nanotechnology |
| 23EGS13 | Engineering Graphics | Core | 2 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, CAD Basics |
| 23CCT14 | C Programming for Problem Solving | Core | 3 | Algorithms and Flowcharts, C Language Fundamentals, Control Flow Statements, Functions and Pointers, Arrays and Structures |
| 23EES15 | Basic Electrical and Electronic Engineering | Core | 3 | DC and AC Circuits, Transformers, Diodes and Transistors, Operational Amplifiers, Digital Electronics Basics |
| 23PCCSL16 | C Programming for Problem Solving Laboratory | Lab | 1 | C Program Implementation, Data Types and Operators, Control Structures Practice, Functions and Arrays Exercises, String Manipulation Programs |
| 23PHYL17 | Engineering Physics Laboratory | Lab | 1 | Optics Experiments, Electricity and Magnetism, Modern Physics Experiments, Error Analysis, Data Interpretation |
| 23CIV18 | Introduction to Civil Engineering | Audit Course | 0 | Building Materials, Surveying Principles, Structural Components, Transportation Engineering, Environmental Aspects |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 23MATS21 | Probability and Complex Analysis | Core | 4 | Probability Theory, Random Variables, Sampling Distributions, Complex Numbers, Conformal Mapping |
| 23CHT22 | Engineering Chemistry | Core | 3 | Water Chemistry, Electrochemistry, Corrosion, Fuels and Combustion, Polymers and Nanomaterials |
| 23MPD23 | Computer-Aided Machine Drawing | Core | 2 | Orthographic Views, Sectional Views, Isometric Views, Assembly Drawings, AutoCAD Software |
| 23AED24 | Introduction to Data Structures and Algorithms | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Searching Algorithms, Sorting Algorithms |
| 23MME25 | Elements of Mechanical Engineering | Core | 3 | Thermodynamics, IC Engines, Power Transmission, Pumps and Turbines, Manufacturing Processes |
| 23ADSL26 | Data Structures and Algorithms Laboratory | Lab | 1 | Linked List Implementation, Stack and Queue Operations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Practice |
| 23CHEL27 | Engineering Chemistry Laboratory | Lab | 1 | Volumetric Analysis, Instrumental Analysis, Physical Chemistry Experiments, Material Testing, Water Quality Analysis |
| 23IME28 | Introduction to Mechanical Engineering | Audit Course | 0 | Manufacturing Processes, Engineering Materials, Fluid Mechanics Basics, Heat Transfer Principles, Renewable Energy Systems |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS31 | Discrete Mathematical Structures | Core | 3 | Logic and Proofs, Set Theory and Relations, Functions and Sequences, Graph Theory, Combinatorics and Probability |
| 21CS32 | Data Structures and Applications | Core | 4 | Arrays, Stacks, Queues, Linked Lists, Trees and Binary Search Trees, Graphs and Traversals, Sorting and Searching Techniques |
| 21CS33 | Analog and Digital Electronics | Core | 3 | Diodes and Transistors, Operational Amplifiers, Logic Gates, Combinational Circuits, Sequential Circuits |
| 21CS34 | Computer Organization and Architecture | Core | 3 | Basic Computer Structure, Instruction Set Architecture, CPU Design and Pipelining, Memory Hierarchy, Input/Output Organization |
| 21CSL35 | Data Structures Lab | Lab | 1 | Linked List Operations, Stack and Queue Implementation, Tree and Graph Traversals, Sorting Algorithm Analysis, Searching Algorithm Practice |
| 21CSL36 | Analog and Digital Electronics Lab | Lab | 1 | Diode and Transistor Characteristics, Op-Amp Applications, Logic Gate Verification, Combinational Circuit Design, Sequential Circuit Implementation |
| 21CIV37 | Introduction to Civil Engineering | Audit Course | 0 | Building Materials, Surveying Basics, Structural Components, Transportation Systems, Environmental Engineering |
| 21CIP38 | Constitution of India, Professional Ethics & Cyber Law | Audit Course | 0 | Indian Constitution Basics, Fundamental Rights and Duties, Professional Ethics in Engineering, Cyber Law Principles, Intellectual Property Rights |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS41 | Design and Analysis of Algorithms | Core | 3 | Algorithmic Strategies, Divide and Conquer, Dynamic Programming, Greedy Algorithms, Graph Algorithms and NP-completeness |
| 21CS42 | Microcontroller and Embedded Systems | Core | 3 | Microcontroller Architecture, ARM Processors, Interrupts and Timers, Embedded C Programming, Real-Time Operating Systems (RTOS) |
| 21CS43 | Operating Systems | Core | 4 | Process Management and Scheduling, Deadlocks, Memory Management, Virtual Memory, File Systems and I/O Systems |
| 21CS44 | Object Oriented Programming with JAVA | Core | 3 | Classes and Objects, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling, Multithreading and GUI Programming |
| 21CSL45 | Design and Analysis of Algorithms Lab | Lab | 1 | Algorithm Implementation, Time and Space Complexity, Graph Algorithm Solutions, Dynamic Programming Problems, Greedy Algorithm Exercises |
| 21CSL46 | Microcontroller and Embedded Systems Lab | Lab | 1 | Microcontroller Programming, Peripheral Interfacing, Embedded System Applications, RTOS Concepts, Sensor Integration |
| 21PDPL47 | Professional Development Lab | Lab | 1 | Communication Skills, Resume Building, Group Discussion Techniques, Interview Preparation, Aptitude Training |
| 21NC48 | Research Methodology and IPR | Audit Course | 0 | Research Process, Data Collection and Analysis, Report Writing, Intellectual Property Rights, Patent and Copyright |
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 | OSI and TCP/IP Models, Network Layer Protocols, Transport Layer Protocols, Application Layer Protocols, Network Security Basics |
| 18CS53 | Database Management Systems | Core | 4 | Relational Model and SQL, Database Design and Normalization, Transaction Management, Concurrency Control, Data Recovery |
| 18CS54 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| 18CS551 | Professional Elective - 1: Object Oriented Modeling and Design | Elective | 3 | UML Diagrams, Object-Oriented Analysis, Design Patterns, Software Architecture, System Design Principles |
| 18CSL56 | Computer Network Laboratory | Lab | 1 | Network Programming, Socket Programming, Protocol Simulation, Network Configuration, Packet Analysis Tools |
| 18CSL57 | DBMS Laboratory with Mini Project | Lab | 1 | SQL Queries and Joins, Database Schema Design, PL/SQL Programming, Transaction Management Practice, Mini Project Implementation |
| 18CIV58 | Environmental Studies | Audit Course | 0 | Ecosystems and Biodiversity, Environmental Pollution, Waste Management, Sustainable Development, Environmental Ethics |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18CS61 | Software Engineering | Core | 3 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing Techniques, Project Management and Maintenance |
| 18CS62 | Computer Graphics and Visualization | Core | 3 | Graphics Primitives, 2D/3D Transformations, Clipping and Projections, Shading and Rendering, Animation and OpenGL |
| 18CS63 | Web Technology and Its Applications | Core | 3 | HTML, CSS, JavaScript, DOM and AJAX, XML and JSON, Web Servers and Server-Side Scripting, Web Security Fundamentals |
| 18CS641 | Professional Elective - 2: Advanced Java Programming | Elective | 3 | Servlets and JSP, JDBC and Database Connectivity, Enterprise JavaBeans (EJB), Frameworks like Struts/Hibernate, Web Services |
| 18CS65X | Open Elective - A | Open Elective | 3 | Interdisciplinary Topics, Emerging Technologies, Management Principles, Humanities and Social Sciences, Entrepreneurial Skills |
| 18CSL66 | Software Engineering Laboratory | Lab | 1 | Requirements Analysis Tools, UML Modeling, Design Pattern Implementation, Software Testing Automation, Version Control Systems |
| 18CSL67 | Computer Graphics Laboratory with Mini Project | Lab | 1 | OpenGL Programming, 2D/3D Graphics Implementation, Animation Techniques, Interactive Graphics, Mini Project Development |
| 18CPL68 | Project Work Phase 1 + Seminar | Project/Seminar | 2 | Problem Identification, Literature Survey, System Design, Report Writing, Seminar Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18CS71 | Artificial Intelligence and Machine Learning | Core | 3 | AI Agents and Search Strategies, Knowledge Representation, Machine Learning Paradigms, Neural Networks, Deep Learning Basics |
| 18CS72 | Computer Forensics and Cyber Security | Core | 3 | Cybercrime and Digital Forensics, Incident Response, Malware Analysis, Network Forensics, Cyber Laws and Ethics |
| 18CS731 | Professional Elective - 3: Web 2.0 and Rich Internet Applications | Elective | 3 | AJAX and Web Services, RESTful APIs and JSON, Web Frameworks, Cloud Computing Concepts, Responsive Web Design |
| 18CS741 | Professional Elective - 4: Storage Area Networks | Elective | 3 | Storage System Architecture, Fibre Channel and iSCSI, RAID Technology, Data Protection and Recovery, Cloud Storage Solutions |
| 18CSP75 | Project Work Phase 2 + Seminar | Project/Seminar | 4 | Project Implementation, Testing and Validation, Report Finalization, Presentation Skills, Viva-Voce Preparation |
| 18CSL76 | Artificial Intelligence and Machine Learning Laboratory | Lab | 1 | AI/ML Algorithm Implementation, Python Libraries for ML, Data Preprocessing, Model Training and Evaluation, Application Development |
| 18CSL77 | Web Technology Laboratory with Mini Project | Lab | 1 | HTML, CSS, JavaScript Practice, Server-Side Scripting (PHP/Node.js), Database Integration, API Consumption, Mini Web Project |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18CS81 | Internships / Industrial Training / Mini-project | Internship/Project | 8 | Industry Exposure, Practical Skill Development, Problem-Solving in Real-world, Professional Networking, Technical Report Writing |
| 18CS82 | Project Work | Major Project | 8 | Comprehensive System Design, Software Development Life Cycle, Advanced Technology Implementation, Testing and Debugging, Final Documentation and Viva-Voce |
| 18CS83 | Seminar / Technical Report Writing | Seminar | 1 | Advanced Research Topics, Literature Review, Technical Presentation Skills, Scientific Writing, Critique and Discussion |
| 18CS841 | Professional Elective - 5: Big Data Analytics | Elective | 3 | Hadoop and MapReduce, Spark Framework, Hive and Pig, NoSQL Databases, Data Stream Processing |
