RTU CSE (4th–8th Semester) Subjects Repository

This repository contains semester-wise subjects, notes, and practical implementations for B.Tech Computer Science & Engineering (RTU, Kota) from 4th Semester to 8th Semester, along with the official Teaching & Examination Scheme.

📌 Introduction

The RTU curriculum from 4th to 8th semester focuses on core computer science fundamentals, advanced technologies, and industry-oriented subjects. This repository helps in:

• Academic preparation
• Placement preparation
• Project development

🎯 Objective

• Provide semester-wise subject details
• Include RTU marking scheme
• Help in exam preparation
• Support placement-focused learning
• Maintain all resources in one place

📘 4th Semester (2nd Year – IV Semester)

Subjects:

• Discrete Mathematics
• Managerial Economics / Technical Communication
• Microprocessor & Interfaces
• Database Management System
• Theory of Computation
• Data Communication & Computer Networks

Teaching & Examination Scheme:

SN	Code	Subject	L	T	P	Exam Hrs	IA	ETE	Total	Credits
1	4CS2-01	Discrete Mathematics Structure	3	0	0	3	30	120	150	3
2	4CS1-03 / 4CS1-02	Managerial Economics / Technical Communication	2	0	0	2	20	80	100	2
3	4CS3-04	Microprocessor & Interfaces	3	0	0	3	30	120	150	3
4	4CS4-05	Database Management System	3	0	0	3	30	120	150	3
5	4CS4-06	Theory of Computation	3	0	0	3	30	120	150	3
6	4CS4-07	Data Communication & Computer Networks	3	0	0	3	30	120	150	3

📘 5th Semester (3rd Year – V Semester)

Subjects:

• Information Theory & Coding
• Compiler Design
• Operating System
• Computer Graphics & Multimedia
• Analysis of Algorithms
• Professional Elective

Teaching & Examination Scheme:

SN	Code	Subject	L	T	P	Exam Hrs	IA	ETE	Total	Credits
1	5CS3-01	Information Theory & Coding	2	0	0	2	20	80	100	2
2	5CS4-02	Compiler Design	3	0	0	3	30	120	150	3
3	5CS4-03	Operating System	3	0	0	3	30	120	150	3
4	5CS4-04	Computer Graphics & Multimedia	3	0	0	3	30	120	150	3
5	5CS4-05	Analysis of Algorithms	3	0	0	3	30	120	150	3
6	5CS5-XX	Professional Elective	2	0	0	2	20	80	100	2

📘 6th Semester (3rd Year – VI Semester)

Subjects:

• Digital Image Processing
• Machine Learning
• Information Security System
• Computer Architecture & Organization
• Artificial Intelligence
• Cloud Computing
• Professional Elective

Teaching & Examination Scheme:

SN	Code	Subject	L	T	P	Exam Hrs	IA	ETE	Total	Credits
1	6CS3-01	Digital Image Processing	2	0	0	2	20	80	100	2
2	6CS4-02	Machine Learning	3	0	0	3	30	120	150	3
3	6CS4-03	Information Security System	2	0	0	2	20	80	100	2
4	6CS4-04	Computer Architecture & Organization	3	0	0	3	30	120	150	3
5	6CS4-05	Artificial Intelligence	2	0	0	2	20	80	100	2
6	6CS4-06	Cloud Computing	3	0	0	3	30	120	150	3
7	6CS5-XX	Professional Elective	2	0	0	2	20	80	100	2

📘 7th Semester (4th Year – VII Semester)

Subjects:

• Internet of Things
• Open Elective – I (Principle of Electronic Communication)

Teaching & Examination Scheme:

SN	Code	Subject	L	T	P	Exam Hrs	IA	ETE	Total	Credits
1	7CS4-01	Internet of Things	3	0	0	3	30	120	150	3
2	OE	Open Elective – I	3	0	0	3	30	120	150	3

Sub Total: 6 Credits

📘 8th Semester (4th Year – VIII Semester)

Subjects:

• Big Data Analytics
• Open Elective – II (Soft Computing)

Teaching & Examination Scheme:

SN	Code	Subject	L	T	P	Exam Hrs	IA	ETE	Total	Credits
1	8CS4-01	Big Data Analytics	3	0	0	3	30	120	150	3
2	OE	Open Elective – II	3	0	0	3	30	120	150	3

Sub Total: 6 Credits

🧪 Practice Components

• Data Structures & Programming
• Database & SQL
• Operating System & Networking
• Machine Learning & AI
• Big Data Analytics
• Software Testing & Validation

🛠️ Tools & Technologies

• Java, Python, C++
• MySQL, Oracle
• Hadoop Ecosystem
• Machine Learning Libraries
• JMeter, JaButi, EclEmma
• Linux / Windows

🎓 Learning Outcomes

• Strong programming fundamentals
• Efficient algorithm design
• Real-world system understanding
• Scalable application development
• Knowledge of ML, AI, Big Data
• Software testing skills

📌 Importance

This repository is useful for:

• Semester exam preparation
• Interview preparation
• Project development

⭐ Final Note

Use this repository as a complete academic + placement guide.