Grade SE (Software Engineering)

B.Tech (or B.Sc.) Semester I & II Course Information

This curriculum equips you with a strong foundation in computer science and information technology principles. In the first semester, you’ll gain essential theoretical knowledge, while the second semester focuses on practical application through lab courses and a final project.

Semester I

1. Information & Technology (IT):

• Introduction to computers, hardware, software, and their applications.
• Understanding of data communication and networking concepts.
• Overview of the IT industry and its various specializations.

2. Analog & Digital Electronics:

• Principles of electronic circuits using analog and digital components.
• Analysis of electronic circuits for behavior and functionality.
• Understanding of digital logic gates and their applications.

3. Programming C:

• Introduction to computer programming concepts and methodologies.
• Learning the C programming language syntax, data types, and control flow.
• Problem-solving and algorithm development through C programming.

4. Computer Oriented Statistical Methods:

• Introduction to statistical concepts and their application in computing.
• Understanding data analysis techniques, probability, and distributions.
• Employing statistical methods for data interpretation and problem-solving.

5. Computer Organization & Architecture:

• Internal organization of a computer system, including CPU, memory, and I/O devices.
• Understanding instruction sets, addressing modes, and data processing.
• Introduction to computer architecture concepts like pipelining and caching.

6. Data Structures:

• Learning about different data structures (arrays, linked lists, stacks, queues, trees, etc.)
• Understanding how data structures store and manage data efficiently.
• Applying data structures for problem-solving and algorithm design.

7. Python:

• Introduction to Python programming language, syntax, and data types.
• Learning control flow statements, functions, and object-oriented programming basics in Python.
• Problem-solving and code development using Python.

8. IT Lab:

• Practical exercises using software tools to complement theoretical IT concepts.
• May involve project work related to networking, operating systems, or web development.

9. Analog and Digital Electronics Lab:

• Hands-on experiments to build and analyze electronic circuits using breadboards and equipment.
• Verifying circuit behavior and implementing digital logic gates.

10. Programming C Lab:

• Practical programming exercises using the C language to solidify theoretical concepts.
• Developing C programs to solve problems and implement algorithms.

11. Data Structure Lab:

• Implementing and manipulating various data structures using a programming language like C or C++.
• Experimenting with different data structures and analyzing their performance.

12. Python Lab:

• Practical programming exercises using Python to reinforce theoretical concepts.
• Developing Python programs for data manipulation, scripting, and solving problems.

Semester II

13. Discrete Mathematics:

• Introduction to mathematical concepts essential for computer science.
• Studying topics like set theory, logic, relations, functions, and graph theory.
• Applying discrete mathematics for problem-solving and algorithm analysis.

14. Business Economics and Financial Analysis:

• Fundamentals of business and economic principles relevant to the IT industry.
• Understanding financial statements, cost analysis, and decision-making in business.
• Applying business and financial concepts in the context of IT projects.

15. Operating System:

• Learning about operating system concepts like process management, memory management, and I/O management.
• Understanding different types of operating systems (Windows, Linux, etc.) and their functionalities.

16. Principle of Software Engineering:

• Introduction to software development methodologies and life cycle models.
• Understanding software design principles, coding practices, and testing strategies.
• Applying software engineering principles for efficient and reliable software development.

17. Object Oriented Programming using Java:

• Introduction to object-oriented programming (OOP) concepts like classes, objects, inheritance, and polymorphism.
• Learning the Java programming language, syntax, and OOP features.
• Developing object-oriented programs using Java for problem-solving.

18. Red Hat Linux:

• Introduction to the Red Hat Linux operating system, its features, and command line interface.
• Learning basic Linux administration tasks like user management, file management, and system configuration.

19. Web Page Development:

• Introduction to web development technologies like HTML, CSS, and JavaScript.
• Learning to create basic web pages with structure, styling, and interactivity.
• Understanding the fundamentals of web development and design principles.

20. Operating System Lab:

• Practical exercises exploring functionalities of an operating system (e.g., Windows or Linux).
• Learning to manage processes, files, and system resources through hands-on practice.

21. Java Lab:

Practical programming exercises using Java