BTech 5th Semester Syllabus (2024)

After passing the 4th semester of BTech, you will be promoted to the 5th semester of the BTech program. Now, if you are eager to know the BTech 5th semester syllabus, then keep reading this article. Here we have created a BTech 5th semester syllabus table. In this syllabus table, you will see all the subjects as well as units that you have to read in the BTech 5 semester.

BTech stands for Bachelor of Technology. It is a four-year and eight-semester professional undergraduate program. It provides a blend of theoretical knowledge and practical skills with an emphasis on technical and engineering fields. The course is available with many specialties such as Computer Science, Electrical Engineering, Mechanical Engineering, Civil Engineering, and so on.

The BTech 5th Semester Syllabus provided here is well-structured and regularly updated, encompassing all subjects taught in Semester 5 of the BTech program in Computer Science and Engineering. It offers a comprehensive list of topics for each subject, making it a valuable resource for students studying in various universities across India that offer the BTech program in Computer Science and Engineering. This study material can serve as both an exam preparation tool and a syllabus guide for Semester 5.

BTech 5th Semester Syllabus

The BTech 5th Semester syllabus consists of important subjects like Database Management Systems, Design and Analysis of Algorithms, Compiler Design, etc. Here is the complete table of the BTech syllabus in Computer Science & Engineering for Semester 5th:

Subject List	Detailed Subject-wise Syllabus
Database Management System	Database Management System Unit 1 Introduction Database System vs File System Data Definitions Language Data Manipulation Language ER Model Concepts Candidate Key Primary Key Generalization, Specialization and Aggregation Unit 2 Relational data Model and Language Referential Integrity Relational Algebra Relational Calculus Introduction to SQL Aggregate Functions Procedures in SQL Unit 3 Data base Design & Normalization Functional Dependencies Normal Forms Multivalued Dependency (MVD) in DBMS Unit 4 Transaction Processing Concept Transaction system Serializability in DBMS Log Based Recovery Deadlock Handling Distributed Database Concurrency Control Unit 5 Concurrency Control Techniques Time Stamping Protocols for Concurrency Control Validation Based Protocol Multiple Granularity Recovery with Concurrent Transaction
Design and Analysis of Algorithm	Design and Analysis of Algorithm Unit 1 Introduction Algorithms Complexity of Algorithms Sorting Algorithms Comparison of Sorting Algorithms Unit 2 Advanced Data Structures Red Black Tree B- Trees Binomial Heaps Tries Skip List Unit 3 Divide and Conquer Convex Hull and Searching Greedy Methods Knapsack Prim’s Algorithm Kruskal’s Algorithm Dijkstra’s Algorithm Bellman Ford Algorithm Unit 4 Floyd Warshal’s Algorithm Resource Allocation Problem Backtracking Travelling Salesman Problem Graph Coloring n-Queen Problem Hamiltonian Problem Unit 5 Fast Fourier Transform String Matching Theory of NP -Completeness Approximation Algorithm Randomized Algorithms
Web Designing	Web Designing Unit 1 Introduction Basic principles involved in developing a web site Domains and Hosting Responsive Web Designing Types of Websites (Static and Dynamic Websites) Introduction to HTML Basic structure of an HTML document Unit 2 Elements of HTML Working with Lists Tables and Frames Working with Hyperlinks Working with Forms and controls Unit 3 Concept of CSS Types of CSS CSS Properties Working with Lists Working with Tables CSS Id CSS Class CSS Advanced Creating page Layout and Site Designs Unit 4 Introduction to Client Side Scripting Introduction to Java Script Variables in JS Operators in JS Conditions Statements Java Script Loops Working with Arrays JS Functions Validation of Forms Unit 5 Web Hosting Types of Hosting Packages Registering domains Creating Emails in Cpanel Using FTP Client
Compiler Design	Compiler Design Unit 1 Introduction to Compiler Finite state machines and regular expressions and their applications to lexical analysis Formal grammars and their application to syntax analysis Context free grammars Derivation and parse trees Unit 2 Basic Parsing Techniques Shift reduce parsing Top down parsing Constructing SLR parsing tables Constructing LALR parsing tables Implementation of LR parsing tables Unit 3 Syntax-directed Translation Parse trees & syntax trees Three address code Working with top down parser Unit 4 Symbol Tables Implementation of simple stack allocation scheme Error Detection & Recovery Lexical Phase errors Syntactic phase errors Semantic errors Unit 5 Code Generation Target Code Generation Basic Blocks and Flow Graphs Code optimization Loop optimization DAG representation of basic blocks Global Data-Flow analysis

Note: Elective subjects may be added to the semester in addition to the main or core subjects that depends on the specialization like Computer Science Artificial Intelligence, Data Science, Machine Learning etc to allow students to concentrate on a specific area of interest. One essential aspect of the semester is the practical application of the theoretical subjects. To help with this, a variety of labs and projects are planned to increase problem- solving skills of the students.

Conclusion

In conclusion, BTech 5th Semester syllabus more focuses on the fundamental concepts learned in the previous semester and includes more advanced courses that covers the complex course of computer science. Subjects like Compiler Design plays a vital role in shaping the logical and algorithmic thinking of students.

Additionally, 5th Semester provides a solid understanding of core subjects like Database Management System, Web Designing and Design and Analysis of Algorithms. This study material helps students understand the topics easily, preparing them well for academic success and also help them in building the career in the field of IT Industry.

BTech 5th Semester Syllabus: FAQ

Q1. Is BTech syllabus same for all universities?

The basic core subjects remain same in the all universities only the book and the authors are different in all universities.

Q2. Is BTech syllabus tough?

BTech is comparatively tougher than other undergraduate programs because it involves an extensive undergraduate engineering curriculum.

Q3. Is maths compulsory for BTech?

Yes, due to the extensive engineering curriculum, math is mandatory for BTech. In fact, along with math, physics and chemistry are also compulsory for BTech.