CSCI 3364
Software Testing and Security in the World of AI · 1 instructor on record · 1 section
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 explores modern software testing practices enhanced by Generative AI. Students will learn foundational testing conceptsincluding test design, automation, exploratory testing, and quality engineering while examining how AI tools can support and augment these activities. The course emphasizes critical thinking, ethical and responsible use of AI, and understanding the limitations of AI-generated outputs. Through hands-on activities and applied projects, students will use generative AI to create, evaluate, and improve test cases and automation strategies. By the end of the course, students will be prepared to thoughtfully integrate AI into professional software testing workflows.
| Instructor | Overall | Workload | Challenge | RMP overall |
|---|---|---|---|---|
| Maira Marques SamaryComputer Science Provisional | 941 record | 25th | 17th | 565 ratings · all classes |
There is no ranking to read here: Maira Marques Samary is the only instructor with evaluation records for CSCI 3364, so the number is a record, not a position. It rests on 1 record, which is thin — read it as provisional. The RateMyProfessors figure is their overall score across everything they teach, not their score in this class.
Also taught by Maira Marques Samary
6 other classes| Class | Instructors | Course score |
|---|---|---|
| CSCI 1101Computer Science I | 11180 records | 72 |
| CSCI 1102Computer Science II | 8105 records | 68 |
| CSCI 3356Software Engineering | 19 records | 79 |
| CSCI 1080Principles of Computer Science | 24 records | 68 |
| CSCI 1104Gateway Computer Science 2 Discussion | 12 records | 85 |
| MCCS 1080Principles of Computer Science | 22 records | 51 |
Other CSCI classes
All of themThe line
All 13 items · means across 1 recordBar 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
1 section · newest first| Instructor | Term | Sec | Instr | Course | Work |
|---|---|---|---|---|---|
| Maira Marques Samary | Fall 2025 | 01 | 94 | 90 | 40 |
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.