BCA in Database Management at Karpagam Academy of Higher Education - Course, Fees, Admission, Seats, Syllabus

Semester	Course Code	Course Title	Credits
1	CODE101	Introduction to Subject	4
2	CODE102	Advanced Subject Topics	4
3	CODE201	Applied Subject Theory	4
4	CODE202	Subject Practicum	4
5	CODE301	Subject Research Methods	4
6	CODE302	Capstone Project	4

This HTML table includes columns for the semester, course code, course title, and credits. You would need to replace the placeholders (e.g., CODE101, Introduction to Subject) with the actual course codes and titles from the Karpagam Academy of Higher Education syllabus for your specific program. For the most accurate and up-to-date syllabus, please consult the official Karpagam Academy of Higher Education website or contact the relevant academic department directly. They can provide you with the specific details you need, including any prerequisites, course descriptions, and academic policies.

As of my recent update in April 2023 it may not be easy to find specific course outlines or syllabi for the BCA in Database Management at Karpagam Academy of Higher Education (KAHE) available to the public. Nevertheless a Bachelor of Computer Applications (BCA) program with a specialization in Database Management typically covers a range of fundamental and advanced topics related to databases and information management. Below is an overview of important subjects that such a course might include based on common BCA Database Management curricula; **Introduction to Database Systems** Providing an overview of database systems Emphasizing the significance of data management Tracing the evolution of database systems **Database Design** Exploring various data models such as hierarchical, network, relational and object oriented Utilizing Entity Relationship (ER) modeling techniques Applying normalization methods **SQL and Query Optimization** Covering the basics of SQL (Structured Query Language) Exploring advanced SQL features like triggers, stored procedures and views Discussing query optimization techniques **Relational Database Management Systems (RDBMS)** Understanding the principles behind RDBMS Managing transactions and ensuring concurrency control Examining indexing and hashing methods **NoSQL Databases** Providing an introduction to NoSQL databases Describing different types such, as document based key value pairs, wide column stores Below are some topics covered in the course; 1. When to utilize NoSQL databases of traditional relational database management systems (RDBMS). 2. Introduction to data warehousing, including the basics and concepts. 3. Understanding Online Analytical Processing (OLAP) and data cubes. 4. Overview of data mining concepts and techniques. 5. Database security and privacy considerations, such as access control mechanisms, data encryption techniques and privacy issues within databases. 6. Exploring emerging trends in database technology like Big Data tools and technologies cloud database services and the impact of the Internet of Things (IoT) on database management. 7. Aspects of managing databases including tasks such as administration, performance tuning and optimization as well as backup and recovery techniques. 8. Hands on project work involving designing and implementing a database system application development using a database backend, well as real world case studies, on various database management issues. Please keep in mind that the actual course content may vary slightly or include specific topics. For the accurate information it's advisable to refer to the official curriculum provided by K.