BEU syllabus : CS Branch All Semester

The reader is a hopeful computer science student at the Bihar Engineering University (BEU) or someone who is inquisitive about the syllabus for the CS branch at BEU. This article is a comprehensive guide to the BEU syllabus for the CS branch for all semesters. The curriculum aims to equip students with the technical skills and theoretical knowledge necessary to succeed in the fast-paced world of computer technology. Students in the CS branch are well-equipped to enter the workforce upon graduation, as their curriculum focuses on programming languages, data structures, algorithms, and software engineering principles.

The BEU syllabus for the CS branch is divided into eight semesters. Each semester's coursework is highlighted in this article. Mathematics, Physics, Chemistry, and Engineering subjects, as well as English and Social Sciences, are among the subjects in the first two semesters. In the third semester, Discrete Mathematics, Data Structures and Algorithms, Object-Oriented Programming, Electrical and Electronic Circuits, and Technical Writing and Presentation are taught. The fourth semester covers Database Systems, Operating Systems, Computer Networks, Digital Logic Design, and Numerical Methods. The fifth semester focuses on the Theory of Computation, Software Engineering, Compiler Design, Computer Graphics, and Artificial Intelligence. The sixth semester includes Computer Organization and Architecture, Distributed Systems, Human-Computer Interaction, Information and Network Security, and an elective. The seventh semester covers Cloud Computing, Mobile Application Development, Big Data Analytics, Wireless Sensor Networks, and another elective. Finally, in the eighth semester, the students complete Project Work, a Seminar, and a Comprehensive Viva-Voce.

Syllabus

Semester-1

• Mathematics - I
• Environmental Studies
• Physics
• Programming using C
• Web Designing (HTML / CSS / BootStrap)
• Office Automation Tools

Semester-2

• Mathematics - II
• English for Communication Skills
• Engineering Graphics for CSE
• Object Oriented Programming with Java
• Database Management System - I
• Fundamentals of Electronics

Semester-3

• Discrete Mathematics
• Database Management System - II
• Data Structure
• Web Programming (Angular, NodeJS, ReactJS)
• Digital Fundamentals

Semester-4

• Probability & Statistics
• Python Programming
• Design and Analysis of Algorithm
• Mobile Programming using Android
• Indian Constitution
• Professional Communication - I

Semester-5

• Operating System
• Software Engineering
• Elective - I (ASP.NET / PHP)
• Elective - II
• Economics & Business Management
• Professional Communication - II

Semester-6

• Computer Organization & Architecture
• Computer Network
• Theory of Computation
• Elective - III
• Open Elective - I
• Professional Ethics

Semester-7

• Compiler Design
• Elective - IV
• Elective - V
• Elective - VI
• Open Elective - II
• Life Management
• Industry Defined Project / Internship

Electives

AI & Machine Learning, Cloud Computing, Blockchain, Data Mining, IoT, Cyber Security & Digital Forensic, Advanced .NET, Advanced Java, Advanced Python, Mobile Computing, Data Visualization, ERP, Computer Graphics, Information & Network Security, Simulation & Modeling, Optimization Techniques.

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1st Semester

2nd Semester

3rd Semester

4th Semester

5th Semester

6th Semester

7th Semester

8th Semester

It is critical to understand the BEU syllabus for the CS branch in order to excel in coursework and prepare for a successful career in computer science. By familiarizing oneself with the course materials and expectations, students can develop a comprehensive study plan that maximizes their learning potential. Moreover, a thorough understanding of the syllabus can assist students in identifying their areas of strength and weakness, allowing them to concentrate on areas where improvement is needed.

To excel in CS branch courses at BEU, the author suggests the following tips: attend all lectures and labs, participate in group discussions and study groups, complete assignments and projects on time, maintain a study schedule and remain organized, and seek help from professors and teaching assistants as needed.

In conclusion, the CS branch syllabus at BEU is designed to equip students with the skills and knowledge necessary to succeed in the constantly evolving world of computer science. By understanding the course materials and expectations, students can develop a comprehensive study plan that maximizes their learning potential and prepares them for a successful career in the field.

FAQs

What is the CS branch at BEU?

The CS branch at BEU is designed to prepare students with the technical skills and theoretical knowledge needed to excel in the fast-paced world of computer

What courses are included in the BEU CS branch syllabus?

The syllabus includes courses such as mathematics, physics, chemistry, electrical and mechanical engineering, computer fundamentals and programming, data structures and algorithms, software engineering, and much more.

How can I excel in CS branch courses at BEU?

To excel in CS branch courses at BEU, it is important to attend all lectures and labs, participate in group discussions and study groups, complete assignments and projects on time, stay organized and maintain a study schedule, and seek help from professors and teaching assistants as needed.

What are some elective courses offered in the CS branch at BEU?

Some elective courses offered in the CS branch at BEU include cloud computing, mobile application development, big data analytics, wireless sensor networks, and human-computer interaction.

How does the BEU CS branch syllabus prepare students for a successful career in computer science?

The BEU CS branch syllabus provides students with a strong foundation in programming languages, data structures, algorithms, and software engineering principles, which are essential skills for a career in computer science. Additionally, the syllabus includes courses in emerging areas such as cloud computing, mobile application development, and big data analytics, which prepare students for the latest industry trends and technologies.