This syllabus walk-through for Machine Learning (BIS601) is original VTUHub writing. Credits on this card: 3. Programme: ISE. Term: 6th Semester. Scheme: 2022.
We do not host the official scheme PDF. Download that from vtu.ac.in and match the subject code on your admission ticket before you trust any module title on this page.
The 2022 core for ML is commonly taught as 5 modules: Unit 1 Introduction and fundamentals; Unit 2 Core methods; Unit 3 Analysis and design; Unit 4 Advanced topics; Unit 5 Applications.
CIE work for a theory paper is usually internals plus assignments; a lab companion, if any, is marked separately. ML lists a lab component on VTUHub — treat the lab record as its own CIE bucket.
Elective baskets and college-specific experiments do not always appear in a generic ISE list. If the code on your ticket is not BIS601, you are on the wrong page.
- Unit 1 — Introduction and fundamentals: Scope, definitions, and the ideas this module is built on.
- Unit 2 — Core methods: Standard techniques and worked representations used in CIE tests.
- Unit 3 — Analysis and design: How to set up, compare, and reason about typical problems.
- Unit 4 — Advanced topics: Extensions that often appear as SEE long-answer questions.
- Unit 5 — Applications: Where the module shows up in labs, projects, and later subjects.