Curiosity · Course availability

Does GGSIPU have a course in Semi-Supervised Learning?

Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Semi-Supervised Learning inside B.Tech CSE (AI & ML). Semi-supervised learning trains on a small labelled set plus a much larger unlabelled one, using techniques such as pseudo-labelling and consistency regularisation. It is the practical middle ground when annotation budgets are tight. Below is what that coverage actually includes and what to verify before counting on it.

At a glance

Topic
Semi-Supervised Learning
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Elective-level coverage
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

How VSET teaches Semi-Supervised Learning

Semi-supervised learning trains on a small labelled set plus a much larger unlabelled one, using techniques such as pseudo-labelling and consistency regularisation. It is the practical middle ground when annotation budgets are tight. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).

  • Semi-supervised methods extend the supervised and unsupervised machine learning material published at learn.engineering.vips.edu.
  • The curriculum's coverage of both paradigms provides the base a semi-supervised approach combines; the technique itself is advanced, elective-level work.
  • It typically appears in project settings where labelled data for a student's own dataset is scarce.
  • Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.

Frequently asked questions

Does GGSIPU have a course in Semi-Supervised Learning?

Not as a standalone degree title, but yes as real coursework: VSET (VIPS-TC) covers Semi-Supervised Learning inside B.Tech CSE (AI & ML).

Is semi-supervised learning a named topic in the syllabus?

It is best described as elective-level: VSET's published curriculum covers the supervised and unsupervised foundations it builds on, and the technique itself is usually taken up in project work.

When would a student actually use it?

When a capstone dataset has to be labelled by hand — a small labelled core plus a large unlabelled remainder is the normal situation in student projects.

What compute is needed?

The AICTE IDEA Lab's GPU workstations handle the repeated training rounds these methods require.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31

Related