Under Graduate Programmes:

B.Tech. CSE

With continuous development of technology, vast opportunities of growth have emerged for the computer software and hardware industries. Software being one of the largest growing sectors of the Indian economy, the department of Computer Science & Engineering at Sanskriti University is committed to develop software engineers with adequate technical expertise.

The experienced faculty members expose the students to a rigorous and exhaustive curriculum designed to bring out the best in them and to keep them in touch with the latest development.

Laboratories

Computer Science & Engineering: The main computer lab has sufficient number of computers with dual core and core 2 duo microprocessor. All systems are connected through LAN. Campus is fully enabled with Wi-fi.

Career Scope

In a vast country like India where application of computer technology is spreading fast to every nook and corner of the country, there is increasing demand for qualified computer engineers. After completion of B.Tech. degree course, students can find employment in software development, networking, web technologies etc.


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Sem - I

Sem - II

Sem - III

Sem - IV

Sem - V

Sem - VI

Sem - VII

Sem - VIII

Design and Analysis of Algorithm

This course.....

Object Oriented Programming With Java

Python Programming

This course provides a comprehensive introduction to Python programming, focusing on both fundamental concepts and practical problem-solving skills. It is designed to help learners understand why Python is a powerful and popular scripting language, and how it can be effectively used for software development, data handling, and automation.

The course begins with an overview of Python’s history, features, installation, and execution environment, enabling students to write and run simple Python programs. Learners gain a strong foundation in variables, data types, operators, and control structures, which are essential for writing logical and efficient programs.

As the course progresses, students explore decision-making and looping constructs, along with functions, recursion, and scope, to develop modular and reusable code. Special emphasis is placed on strings, lists, tuples, and dictionaries, helping students understand Python’s built-in data structures and their real-world applications.

Advanced topics include indexing and slicing, list comprehensions, and object type identification, which enhance data manipulation skills. The course also introduces file handling, exception handling, modules, and packages, preparing students to build robust Python applications.

Through illustrative programs and practical components, learners apply concepts to solve computational problems such as array operations, mathematical functions, text processing, and file management. By the end of the course, students will be able to write clear, efficient Python programs, analyze object types, and confidently use Python data structures for problem-solving and real-world applications.

This course introduces Python as a powerful and easy-to-use programming language. It covers Python basics, control structures, functions, and core data types such as lists, tuples, dictionaries, and strings. Students learn indexing, slicing, object type identification, file handling, and exception handling. Through practical programs, the course develops problem-solving skills and prepares learners to write efficient and reliable Python applications.

Python Programming

This course provides a comprehensive introduction to Python programming, focusing on both fundamental concepts and practical problem-solving skills. It is designed to help learners understand why Python is a powerful and popular scripting language, and how it can be effectively used for software development, data handling, and automation.

The course begins with an overview of Python’s history, features, installation, and execution environment, enabling students to write and run simple Python programs. Learners gain a strong foundation in variables, data types, operators, and control structures, which are essential for writing logical and efficient programs.

As the course progresses, students explore decision-making and looping constructs, along with functions, recursion, and scope, to develop modular and reusable code. Special emphasis is placed on strings, lists, tuples, and dictionaries, helping students understand Python’s built-in data structures and their real-world applications.

Advanced topics include indexing and slicing, list comprehensions, and object type identification, which enhance data manipulation skills. The course also introduces file handling, exception handling, modules, and packages, preparing students to build robust Python applications.

Through illustrative programs and practical components, learners apply concepts to solve computational problems such as array operations, mathematical functions, text processing, and file management. By the end of the course, students will be able to write clear, efficient Python programs, analyze object types, and confidently use Python data structures for problem-solving and real-world applications.

This course introduces Python as a powerful and easy-to-use programming language. It covers Python basics, control structures, functions, and core data types such as lists, tuples, dictionaries, and strings. Students learn indexing, slicing, object type identification, file handling, and exception handling. Through practical programs, the course develops problem-solving skills and prepares learners to write efficient and reliable Python applications.