ADAN 7220 Mathematical Methods for Machine Learning I

Machine learning is the design of algorithms that routinely learn and adapt with use to discover hidden properties, patterns, and trends in complex data. This is a semester course on foundational methods in linear algebra and vector calculus to understand the structure and dimensionality of large and complex datasets.

Course overview

Department
Advancing Studies
School
ADV
Credits
3
Level
Graduate
Offered
Periodically

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.30 / 5 · Very Good
103 responses
Instructor rating
4.52 / 5 · Excellent
103 responses
Terms evaluated
11
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026Leslie Servi4.34.04.44.34.44.44.54.84–6 hrs/week8 of 10
Spring 2026Lorin Gerraughty4.34.94.84.85.04.64.64.410+ hrs/week9 of 9
Fall 2025Arvind Sharma4.24.54.54.64.84.64.54.77–9 hrs/week15 of 15
Fall 2025 (midterm)Lorin Gerraughty4.34.55.04.84.54.84.55.0—4 of 9
Summer 2025Lorin Gerraughty4.35.04.74.74.34.34.75.07–9 hrs/week3 of 4
Spring 2025Arvind Sharma4.54.85.04.85.04.84.34.54–6 hrs/week4 of 8
Fall 2024Arvind Sharma4.54.54.74.74.84.74.64.67–9 hrs/week11 of 18
Fall 2024Lorin Gerraughty4.84.64.84.84.84.84.85.0—5 of 10
Summer 2024Lorin Gerraughty4.54.54.54.54.54.54.54.0—2 of 3
Spring 2024Arvind Sharma4.54.84.64.74.54.64.74.57–9 hrs/week11 of 13
Spring 2024Lorin Gerraughty4.24.75.04.84.54.54.54.87–9 hrs/week6 of 7
Fall 2023Paul Garvey—————————11 of 15
Fall 2023 (midterm)Lorin Gerraughty3.84.04.84.64.24.64.84.810+ hrs/week5 of 5
Summer 2023Lorin Gerraughty—————————3 of 4
Spring 2023Lorin Gerraughty3.04.54.54.34.53.53.54.010+ hrs/week4 of 7
Fall 2022Lorin Gerraughty5.05.05.05.04.55.05.05.04–6 hrs/week2 of 3

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

  • Arvind Sharma
    Fall 2025, Spring 2025, Fall 2024, Spring 2024 · Official rating 4.60/5
  • Leslie Servi
    Spring 2026 · Official rating 4.00/5
  • Lorin Gerraughty
    Spring 2026, Summer 2025, Midterm Fall 2025, Summer 2024, Spring 2024, Summer 2023, Spring 2023, Midterm Fall 2023, Fall 2022, 2024FALL1 · Official rating 4.61/5
  • Paul Garvey
    Fall 2023 · Official rating 4.30/5