linden.study

CSCI 3387 Topics in Computational intelligence: Machine Learning Projects

In this project based class, we will introduce several machine learning concepts, and illustrate and practice their use. These topics will, tentatively, include: classification, data processing, dimensionality reduction, model evaluation and tuning, ensemble learning, regression, clustering, multi layer artificial neural networks and their use for classification, regression, generative adversarial networks, and reinforcement learning.

Course overview

Department
Computer Science
School
MCAS
Credits
3
Level
Undergraduate
Offered
Periodically

Catalog details

Prerequisites
MATH2202 and MATH2210 or MCMA2210 and CSCI2243 or MATH2216 and CSCI2244 or MATH4426

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

Requirements fulfilled

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Course evaluations

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

Course rating
2.87 / 5 · Good
56 responses
Instructor rating
2.79 / 5 · Good
56 responses
Terms evaluated
5
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 2026Jose Bento Ayres Pereira2.62.52.42.64.52.84.02.84–6 hrs/week11 of 13
Spring 2025Jose Bento Ayres Pereira3.73.74.24.24.84.04.44.67–9 hrs/week7 of 8
Fall 2024Jose Bento Ayres Pereira3.23.32.53.24.23.34.04.3—6 of 9
Spring 2024Jose Bento Ayres Pereira2.72.53.13.34.53.74.23.94–6 hrs/week18 of 20
Spring 2023Jose Bento Ayres Pereira2.72.72.93.74.93.74.14.14–6 hrs/week14 of 18

Data freshness

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

Instructors

  • Jose Bento Ayres Pereira
    Spring 2027, Fall 2026, Spring 2026, Spring 2025, Fall 2024, Spring 2024, Spring 2023 · Official rating 2.79/5

Sections

  • Section 01
    Spring 2027 · Jose Bento Ayres Pereira · Hayden Hall Room 229 MWF 02:00PM-02:50PM · Offered
  • Section 01
    Fall 2026 · Jose Bento Ayres Pereira · Hayden Hall Room 104 MW 10:30AM-11:45AM · Offered