CSCI 3141

Foundations/Data Science

Lec 01 selected

The course provides an introduction to the main steps of a typical data science project, using the R language and environment as the illustration tool. The course addresses the theoretical foundations of several key methods and techniques used in data science projects, from data importation and manipulation, going through data visualization and model building, to

Sections

Lecture

Lec 01

Tue, Thu 16:05-17:25

Tue, Thu16:05-17:25Goldberg Computer Science Bldg 13410755

From the syllabus

From the Fall 2026 syllabus by Gabriel Spadon. Fall 2026 is taught by Spadon De Souza G., so details may differ. Open the PDF

Grading

15%Integrated labs (12)Best 10 of 12 individual lab results

45%Assignments (4)Individual analyses; assignment weights are 7.5%, 7.5%, 15%, 15%

15%Midterm examinationIn class

25%Final examinationCumulative; scheduled by Registrar

In-class quizzes (4)Ungraded; complete at least 2 to pass

Course rules

Late work: Assignments 1–3 lose 5 percentage points per calendar day for up to seven days; Assignment 4 has no routine late window.
Lab deadlines: Labs are due seven calendar days after release, before 16:05 Halifax time.
Absences: For an eligible absence of up to three days, contact the instructor before the missed requirement and file a declaration within three days.
Missed midterm: Contact the instructor about a missed midterm; final examinations follow the Registrar’s separate process.
Passing: Pass requires at least 50% overall, 50% on assignments, 50% on the final, and completion of at least two quizzes.
Exam aids: Course and personal notes are allowed unless an examination specifies narrower aids; internet, communication, and generative AI are prohibited.
Generative AI: AI-generated work is prohibited in labs and assignments unless assignment instructions expressly authorize it.
Attendance: Attendance is not graded, but students are responsible for missed material and announcements.
Laptop: Bring a laptop to practical meetings; contact the instructor early if computer access is a barrier.

Have a more recent syllabus for CSCI 3141? Sign in to share it