BCA in Software Development at GIET University - Course, Fees, Admission, Seats, Syllabus

Creating a single line HTML table for a detailed syllabus like the BCA in Software Development from GIET University would require condensing a lot of information into a very compact format. Given the complexity and variability of university syllabi, the following is a simplified and hypothetical example of how you might structure such a table. This example will not cover the entire syllabus in detail due to space constraints and the lack of specific information on the semester-wise courses offered by GIET University for this program. Instead, it will provide a framework that you can adapt and expand based on the actual syllabus details you have.

Semester	Subjects
Semester 1	Introduction to Programming, Mathematics for Computing, English for Communication, Digital Fundamentals
Semester 2	Object-Oriented Programming, Data Structures, Discrete Mathematics, Computer Organization and Architecture
Semester 3	Database Management Systems, Operating Systems, Web Technologies, Software Engineering
Semester 4	Java Programming, Algorithms, Computer Networks, Human-Computer Interaction
Semester 5	Mobile Application Development, Cloud Computing, Elective 1, Project Work 1
Semester 6	Information Security, Elective 2, Elective 3, Project Work 2

This table includes a header row with two columns: "Semester" and "Subjects". Each subsequent row represents a semester, listing a simplified set of subjects that might be found in a BCA in Software Development program. Remember, the actual subjects, their order, and the electives available will vary based on the university's curriculum at the time of your inquiry. You should replace the placeholder subjects with the actual subjects from the GIET University syllabus for the BCA in Software Development program. Also, note that creating a single-line HTML format for complex data like a syllabus can make the information difficult to read and maintain. It's generally better to format your HTML in a more readable and maintainable way, especially for larger tables or more complex data structures.