B.E. Computer Science Engineering

Anna University - Regulation 2021 Curriculum

Showcasing how the foundational knowledge from my Computer Science degree continues to be relevant and actively used in my 20+ years of professional experience in Full Stack Development, Banking, and Healthcare domains.

Total Subjects

Still Using Today

Not Used

84%

Knowledge Relevance

170

Total Credits

Used - Still Using in Industry

Unused - Foundational Knowledge

ElectiveProfessional/Open Elective

Semester-wise Curriculum

Detailed breakdown of all 8 semesters with course codes, credits, and how each subject relates to my current professional work. Use the tabs to filter subjects by usage status.

Semester 1

First Year

5 used | 3 unused

Credits: 22

HS3151Professional English - I(3 credits)Used

Technical documentation, client communication, requirements gathering

MA3151Matrices and Calculus(4 credits)Used

Data transformations, ML algorithms, graphics programming

GE3151Problem Solving and Python Programming(3 credits)Used

Automation scripts, data processing, DevOps tools

GE3171Problem Solving and Python Programming Lab(2 credits)Used

Hands-on debugging, practical problem solving

GE3172English Laboratory(1 credits)Used

Presentation skills, stakeholder communication

Semester 2

First Year

4 used | 4 unused

Credits: 25

HS3251Professional English - II(2 credits)Used

Technical writing, API documentation, reports

MA3251Statistics and Numerical Methods(4 credits)Used

Data analytics, ML model evaluation, A/B testing

CS3251Programming in C(3 credits)Used

Foundation for all programming, memory management concepts

CS3271Programming in C Laboratory(2 credits)Used

Debugging, code optimization, practical programming

Semester 3

Second Year

8 used | 0 unused

Credits: 22

MA3354Discrete Mathematics(4 credits)Used

Algorithm analysis, cryptography, database theory

CS3351Digital Principles and Computer Organization(4 credits)Used

Hardware-software interface, performance optimization

CS3352Foundations of Data Science(3 credits)Used

Big data analytics, business intelligence, data-driven decisions

CS3301Data Structures(3 credits)Used

Core of all software development - Arrays, Trees, Graphs, HashMaps

CS3391Object Oriented Programming(3 credits)Used

Java, Spring Boot, enterprise application development

CS3311Data Structures Laboratory(1.5 credits)Used

Implementing efficient algorithms, problem solving

CS3381Object Oriented Programming Laboratory(1.5 credits)Used

Java programming, design patterns implementation

CS3361Data Science Laboratory(1.5 credits)Used

Data analysis, visualization, practical ML applications

Semester 4

Second Year

7 used | 1 unused

Credits: 23

CS3452Theory of Computation(3 credits)Used

Compiler design, regex, language processing

CS3491Artificial Intelligence and Machine Learning(4 credits)Used

AI integration, intelligent systems, predictive analytics

CS3492Database Management Systems(3 credits)Used

Oracle, MySQL, PostgreSQL - daily use in all projects

CS3401Algorithms(4 credits)Used

Optimization, system design, performance tuning

CS3451Introduction to Operating Systems(3 credits)Used

Linux administration, containerization, process management

CS3461Operating Systems Laboratory(1.5 credits)Used

Shell scripting, system administration

CS3481Database Management Systems Laboratory(1.5 credits)Used

SQL queries, stored procedures, database optimization

Semester 5

Third Year

8 used | 0 unused

Credits: 23

CS3591Computer Networks(3 credits)Used

Microservices communication, API design, network security

CS3501Compiler Design(4 credits)Used

Code parsing, DSL development, transpilers

CB3491Cryptography and Cyber Security(4 credits)Used

Banking security, encryption, secure coding practices

CS3551Distributed Computing(3 credits)Used

Microservices, cloud architecture, scalable systems

CCS355Professional Elective I - Neural Networks(3 credits)ElectiveUsed

Deep learning, AI model development

CCS356Professional Elective II - Software Engineering(3 credits)ElectiveUsed

SDLC, Agile methodologies, project management

CS3511Computer Networks Laboratory(1.5 credits)Used

Network configuration, protocol implementation

CS3512Distributed Computing Laboratory(1.5 credits)Used

Building distributed applications, load balancing

Semester 6

Third Year

8 used | 0 unused

Credits: 23

CCS356Object Oriented Software Engineering(3 credits)Used

Enterprise software design, architectural patterns

CS3691Embedded Systems and IoT(3 credits)Used

IoT integration, healthcare devices, smart systems

CS3601Professional Elective III - Cloud Computing(3 credits)ElectiveUsed

AWS, Azure, cloud-native development

CS3602Professional Elective IV - DevOps(3 credits)ElectiveUsed

CI/CD, Docker, Kubernetes, automation

GE3361Open Elective I - Management(3 credits)ElectiveUsed

Team leadership, project management, stakeholder handling

CS3611Software Engineering Laboratory(2 credits)Used

UML, design documentation, testing strategies

CS3681Embedded Systems Laboratory(2 credits)Used

Hardware-software integration, IoT prototyping

HS3651Communication and Soft Skills(2 credits)Used

Client presentations, team collaboration, leadership

Semester 7

Fourth Year

7 used | 1 unused

Credits: 20

GE3791Human Values and Ethics(2 credits)Used

Professional ethics, responsible software development

CS3701Professional Elective V - Full Stack Development(3 credits)ElectiveUsed

Angular, React, Node.js, complete web applications

CS3702Professional Elective VI - Machine Learning(3 credits)ElectiveUsed

Predictive models, data-driven applications

GE3701Open Elective II - Total Quality Management(3 credits)ElectiveUsed

Quality assurance, process improvement, Six Sigma

CS3711Summer Internship / Industrial Training(2 credits)Used

Real-world project experience, industry exposure

CS3712Technical Seminar(1 credits)Used

Technical presentations, knowledge sharing

CS3713Project Phase I(3 credits)Used

End-to-end project development, research methodology

Semester 8

Fourth Year

2 used | 0 unused

Credits: 12

CS3811Project Work / Internship(10 credits)Used

Complete software development lifecycle, team collaboration

CS3812Comprehensive Viva(2 credits)Used

Technical interviews, knowledge demonstration

Elective Courses

Professional and Open electives available in the curriculum that align with industry requirements

Professional Electives

CCS355Neural Networks and Deep Learning

AI/ML integration in applications

CCS356Object Oriented Software Engineering

Enterprise architecture design

CCS357Cloud Computing

AWS, Azure, GCP deployments

CCS358DevOps and Automation

CI/CD pipelines, Docker, Kubernetes

CCS359Full Stack Web Development

Angular, React, Node.js applications

CCS360Mobile Application Development

Android, iOS, React Native

CCS361Big Data Analytics

Hadoop, Spark, data processing

CCS362Blockchain Technology

Distributed ledger, smart contracts

CCS363Software Testing

Unit testing, automation, quality assurance

CCS364Agile Methodologies

Scrum, Kanban, project management

CCS365Information Security

Banking security, compliance

CCS366Software Project Management

Team leadership, delivery management

Open Electives

GE3761Principles of Management

Team leadership, organizational skills

GE3762Total Quality Management

Quality processes, continuous improvement

GE3763Engineering Economics

Cost analysis, business decisions

GE3764Industrial Psychology

Team dynamics, workplace behavior

GE3765Entrepreneurship Development

Business acumen, startup mindset

Education Meets Experience

This curriculum demonstrates how a strong foundation in Computer Science Engineering provides the knowledge base that remains relevant throughout a professional career. With 84% of the subjects still being actively used in my daily work, it validates the importance of formal education in building a successful career in software development.