Course Curriculum Overview:
I opted for this course primarily because it offered an honors degree with a specialization in AI and ML, which aligns with my interests and career goals. The curriculum is thoughtfully designed, incorporating practical labs for almost every theory course, enabling us to better grasp theoretical concepts by applying them in practical scenarios. However, I believe there's room for improvement by increasing the number of lab hours and reducing the focus on theory. Additionally, implementing regular class tests could enhance learning outcomes. In terms of assessment, the semester comprises two exams: a mid-term covering 60% of the syllabus and an end-term exam covering the entire syllabus. Both exams are manageable, and past year question papers serve as valuable resources for preparation, allowing students to achieve good marks with adequate practice.
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