BCS601 · CSE · 6th Semester · Karnataka
Machine Learning
3 credits 2022 scheme theory
Quick answer Supervised and unsupervised methods at sixth-semester depth: regression, classification, clustering and a neural-net outline.
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Modules
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Unit 1 · Introduction and fundamentals
Scope, definitions, and the ideas this module is built on.
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Unit 2 · Core methods
Standard techniques and worked representations used in CIE tests.
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Unit 3 · Analysis and design
How to set up, compare, and reason about typical problems.
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Unit 4 · Advanced topics
Extensions that often appear as SEE long-answer questions.
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Unit 5 · Applications
Where the module shows up in labs, projects, and later subjects.
Outcomes
- Explain the core ideas of Machine Learning as listed in the BCS601 syllabus.
- Solve typical CIE and SEE problems from this subject.
- Connect this module to later subjects in the same programme.