Comprehensive Course Listing Across All Semesters
| Semester | Course Code | Course Title | Credits (L-T-P-C) | Prerequisites |
|---|---|---|---|---|
| I | CS101 | Mathematics I | 3-1-0-4 | - |
| I | CS102 | Physics for Engineers | 3-1-0-4 | - |
| I | CS103 | Introduction to Programming | 2-0-2-4 | - |
| I | CS104 | Digital Logic Design | 3-1-0-4 | - |
| I | CS105 | Engineering Graphics | 2-0-2-4 | - |
| I | CS106 | English Communication Skills | 3-0-0-3 | - |
| II | CS201 | Mathematics II | 3-1-0-4 | CS101 |
| II | CS202 | Data Structures and Algorithms | 3-1-0-4 | CS103 |
| II | CS203 | Object-Oriented Programming in Java | 3-1-0-4 | CS103 |
| II | CS204 | Database Management Systems | 3-1-0-4 | CS202 |
| II | CS205 | Operating Systems | 3-1-0-4 | CS203 |
| II | CS206 | Computer Networks | 3-1-0-4 | CS205 |
| III | CS301 | Mathematics III | 3-1-0-4 | CS201 |
| III | CS302 | Design and Analysis of Algorithms | 3-1-0-4 | CS202 |
| III | CS303 | Software Engineering | 3-1-0-4 | CS203 |
| III | CS304 | Computer Architecture | 3-1-0-4 | CS104 |
| III | CS305 | Probability and Statistics | 3-1-0-4 | CS101 |
| IV | CS401 | Mathematics IV | 3-1-0-4 | CS301 |
| IV | CS402 | Machine Learning | 3-1-0-4 | CS305 |
| IV | CS403 | Cybersecurity Fundamentals | 3-1-0-4 | CS206 |
| IV | CS404 | Embedded Systems | 3-1-0-4 | CS205 |
| IV | CS405 | Human-Computer Interaction | 3-1-0-4 | CS203 |
| V | CS501 | Advanced Algorithms | 3-1-0-4 | CS302 |
| V | CS502 | Big Data Technologies | 3-1-0-4 | CS204 |
| V | CS503 | Cloud Computing | 3-1-0-4 | CS206 |
| V | CS504 | Distributed Systems | 3-1-0-4 | CS206 |
| V | CS505 | Game Development | 3-1-0-4 | CS203 |
| VI | CS601 | Research Methodology | 3-1-0-4 | CS501 |
| VI | CS602 | Advanced Topics in AI | 3-1-0-4 | CS402 |
| VI | CS603 | Network Security | 3-1-0-4 | CS403 |
| VI | CS604 | Software Testing and Quality Assurance | 3-1-0-4 | CS303 |
| VI | CS605 | Project Management | 3-1-0-4 | - |
| VII | CS701 | Final Year Project | 4-0-0-8 | All previous semesters |
| VII | CS702 | Elective I | 3-1-0-4 | - |
| VII | CS703 | Elective II | 3-1-0-4 | - |
| VII | CS704 | Elective III | 3-1-0-4 | - |
| VIII | CS801 | Internship | 6-0-0-6 | CS701 |
| VIII | CS802 | Elective IV | 3-1-0-4 | - |
| VIII | CS803 | Elective V | 3-1-0-4 | - |
| VIII | CS804 | Capstone Project | 6-0-0-6 | CS701 |
Advanced Departmental Elective Courses
Course 1: Machine Learning
This course introduces students to the fundamentals of machine learning, including supervised and unsupervised learning techniques. Students will explore algorithms such as decision trees, neural networks, clustering methods, and reinforcement learning. The course emphasizes practical implementation using libraries like TensorFlow and Scikit-learn.
Learning Objectives:
- Understand key concepts in machine learning
- Implement classification and regression models
- Apply deep learning frameworks
- Evaluate model performance using appropriate metrics
Relevance:
This course prepares students for roles in data science, AI research, and product development at top tech companies.
Course 2: Cybersecurity Fundamentals
This course covers essential principles of cybersecurity, including network security, cryptography, ethical hacking, and risk management. Students will learn how to identify vulnerabilities and implement security measures in real-world scenarios.
Learning Objectives:
- Understand common cyber threats and attack vectors
- Implement cryptographic techniques for secure communication
- Analyze network traffic for anomalies
- Design robust security policies
Relevance:
This course equips students with skills needed to pursue careers in cybersecurity consulting, penetration testing, and IT security management.
Course 3: Embedded Systems
This course explores the design and development of embedded systems, focusing on real-time applications. Students will learn about microcontrollers, sensors, communication protocols, and system integration techniques.
Learning Objectives:
- Design embedded applications using C/C++
- Understand hardware-software co-design
- Implement communication protocols (UART, SPI, I2C)
- Debug and optimize embedded software
Relevance:
This course prepares students for careers in IoT development, automotive engineering, and industrial automation.
Course 4: Human-Computer Interaction
This course focuses on the design of user interfaces and interaction models. Students will study cognitive psychology, usability testing, and prototyping techniques to create intuitive software products.
Learning Objectives:
- Apply principles of human cognition in interface design
- Conduct user research and gather feedback
- Develop prototypes using design tools
- Evaluate interaction effectiveness using metrics
Relevance:
This course is ideal for students interested in UX/UI design, product management, and human factors engineering.
Course 5: Software Engineering
This course provides a comprehensive overview of software development lifecycle (SDLC) methodologies. Students will learn about requirements gathering, system design, testing, deployment, and maintenance strategies.
Learning Objectives:
- Apply SDLC models in real-world projects
- Design scalable software architectures
- Implement version control systems
- Develop automated testing frameworks
Relevance:
This course prepares students for roles in software development, quality assurance, and project management.
Project-Based Learning Philosophy
Eternal University Sirmour follows a project-based learning philosophy that emphasizes experiential education. The program integrates mini-projects throughout the curriculum to reinforce theoretical concepts with practical implementation. These projects are designed to simulate real-world challenges and encourage teamwork, innovation, and problem-solving.
Mini Projects:
- Each semester includes one or two mini-projects that complement core subjects
- Projects are evaluated based on technical proficiency, creativity, and presentation skills
- Students can choose from a list of faculty-approved project topics or propose their own ideas
- Faculty mentors guide students through each stage of the project lifecycle
Final Year Thesis/Capstone Project:
- Students select a thesis topic under faculty supervision after completing core courses
- The capstone project spans two semesters and involves extensive research, development, and documentation
- Projects are presented at the annual Tech Showcase event for industry evaluation
- Successful projects may lead to publication opportunities or startup ventures