Course Curriculum Overview:
1. Relevance & Comprehensiveness (Rating: 7/10)
The course curriculum at SOA is updated frequently compared to state government colleges.
Why I chose this: I was attracted to the fact that the syllabus includes modern electives like Artificial Intelligence, Cloud Computing, and Data Analytics starting from the 3rd year itself, rather than waiting for the final semester.
Real-world Prep: The curriculum is designed largely to crack placement interviews. There is a heavy focus on Aptitude and Core Coding subjects (DS/Algo) which helps in getting a job. However, for deep research or R&D roles, the theoretical depth is sometimes lacking.
2. Areas for Improvement
Teaching Methods: A major issue is the reliance on PowerPoint Presentations (PPTs). Many faculty members just read off the slides. I would prefer more "Whiteboard Teaching" for mathematical and logic-based subjects.
Lab Records: We spend hours handwriting practical records/files which are just copied from the manual. This is a waste of time. This time should be used for live coding projects or hackathons.
Outdated Subjects: First-year students (even in CS/IT) are forced to learn heavy mechanical/civil concepts. While basics are good, the depth of these non-core subjects should be reduced.
3. Exam System & Difficulty
Frequency: It is quite hectic. We have 2 semesters a year. Each semester has 2 Internal Assessments (Quizzes/Mid-sems) and 1 End-Semester Exam. Basically, you have an exam every 1.5 to 2 months.
Difficulty: The exams are Easy to Moderate.
It is not very difficult to pass. If you study the "Class Notes" and "Previous Year Questions" for 3-4 days before the exam, you can easily score an 8.0 SGPA.
The checking is lenient for passing, but strict if you are aiming for a 9.5+ SGPA.
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