ADAN 7800
Foundations of Generative AI: Techniques, Tools, and Applications · 1 instructor on record · 5 sections
That is the class itself, averaged across everyone who taught it. Who taught it, and how each of them scored, is the board below — that is what a student picking a section is actually choosing between.
Boston College's own “intellectually challenging” question for this class only — students answer it positively about courses that stretched them, so it measures intellectual challenge and NOT grading, workload or quality. Almost every BC class scores high on it, which is why it is shown as a rank rather than a score.
Boston College reports workload for this class only as one of five bands, not as a number of hours, and it does not publish what the bands mean — so this site will not translate it into hours. Higher means more work, which is not the same as worse.
This course provides a comprehensive introduction to the foundations of Generative AI (GenAI) with a focus on its applications in analytics, data science, and related fields. Students will gain both theoretical knowledge and practical skills in GenAI techniques, tools, and applications. The course covers the underlying principles of GenAI, its current capabilities and limitations, and its potential impact on various analytical domains.
| Instructor | Overall | Workload | Challenge |
|---|---|---|---|
| Gary AroraAdvancing Studies | 875 records | 81st | 25th |
There is no ranking to read here: Gary Arora is the only instructor with evaluation records for ADAN 7800, so the number is a record, not a position.
Also taught by Gary Arora
3 other classesOther ADAN classes
All of them| Class | Instructors | Course score |
|---|---|---|
| ADAN 7430ML/AI Algorithms I | 421 records | 80 |
| ADAN 7320Regression Models | 418 records | 86 |
| ADAN 7220Mathematical Methods for Machine Learning I | 417 records | 86 |
| ADAN 7905AI/ML Software Tools and Platforms | 114 records | 82 |
| ADAN 7603AI Algorithms II | 113 records | 64 |
| ADAN 7310Data Analysis | 36 records | 83 |
The line
All 13 items · means across 5 recordsBar length is the rank against every comparable record we hold, not the raw score: BC's questions all have a median around 4.5, so a raw-scale bar would be nearly full on every row and would tell you nothing. Every bar is one ink colour — nothing here is graded green or red. The hatched bars are not ratings at all: a higher number on either describes a different course, not a better one.
Game log
5 sections · newest first| Instructor | Term | Sec | Instr | Course | Work |
|---|---|---|---|---|---|
| Gary Arora | Fall 2025 | 02 | 74 | 71 | 60 |
| Gary Arora | Summer 2025 | 01 | 100 | 100 | — |
| Gary Arora | Spring 2025 | 02 | 85 | 75 | — |
| Gary Arora | Midterm Fall 2025 | 01 | 93 | 93 | 80 |
| Gary Arora | Midterm Spring 2025 | 01 | 83 | 85 | 60 |
How to read this boardInstructors are ranked on their record in this class only, never on their average across everything they teach. Scores are out of 100 — Boston College's 1–5 agreement scale, ×20, the way these numbers were printed for years. Workload is BC's own five-band figure, not a number of hours, and is shown as a rank. A dash means the question was not reported, and is never a zero.