DSCI122

MATH FOUNDATIONS OF DSCI

Clark Core FA Formal Analysis

This course is offered in a current or upcoming term. Check the official course schedule before registering.

From the syllabus

1 shared syllabus

Course tags

Oral exam

Grade breakdown

Grade breakdowns, tags, and office hours from shared syllabi.

Department: Data Science
Terms offered: 5
Data refreshed: Jun 30, 2026

Description

This course introduces fundamental mathematical concepts, theorems, and tools used in data science and machine learning, include linear algebra, analytic geometry, matrix decompositions, partial derivatives, optimization, and if time permits, probability and statistics. This is a standard lecture course with a lab component. The lab will be used for small group work and, if time permits, introduction to programming in R (one of the widely used programming languages in data science).

Syllabi

1 file locked

Offering history & forecast 2022–2026

Forecast

2022

2026

Sections offered by academic year and season, with estimated offering chances for future years above the divider
Year	Fall	Spring	Summer	Intersession
2030	2030 Fall: 68% chance, low confidence. Offered in every fall term since 2022. Department course count rising about 18% per year. Department faculty is about 61% above its recent average.	2030 Spring: 7% chance, medium confidence. Offered in 0 of 9 spring terms since 2018.	2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018.	2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020.
2029	2029 Fall: 71% chance, low confidence. Offered in every fall term since 2022. Department course count rising about 25% per year. Department faculty is about 76% above its recent average.	2029 Spring: 6% chance, medium confidence. Offered in 0 of 10 spring terms since 2017.	2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017.	2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2028	2028 Fall: 75% chance, low confidence. Offered in every fall term since 2022. Department course count rising about 26% per year. Department faculty is about 87% above its recent average.	2028 Spring: 5% chance, medium confidence. Offered in 0 of 11 spring terms since 2016.	2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016.	2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.
2027	2027 Fall: 78% chance, low confidence. Offered in every fall term since 2022. Department course count rising about 26% per year. Department faculty is about 97% above its recent average.	2027 Spring: 5% chance, high confidence. Offered in 0 of 12 spring terms since 2015.	2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015.	2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017.

2026	1 section	Not offered	Not offered	No data for this term
2025	1 section	Not offered	Not offered	Not offered
2024	1 section	Not offered	Not offered	Not offered
2023	1 section	Not offered	Not offered	Not offered
2022	1 section	Not offered	Not offered	Not offered

Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history

Fall Spring Summer Intersession Darker means more sections Not offered No data for term

Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.

Meeting times

Most recent first

Tue, Thu, 10:25 AM–11:40 AM MACD002 2026
Mon, Thu, 1:25 PM–2:40 PM MACD002 20252024

Credit-bearing sections of DSCI122
Term	Professor	Type	Credits	Enrollment	CRN
Fall 2026	Ali Maalaoui	Lecture	1	23 of 30 enrolled	21747
Fall 2025	Ali Maalaoui	Lecture	1	32 of 30 enrolled	21747
Fall 2024	Ali Maalaoui	Lecture	1	33 of 24 enrolled	21747
Fall 2023	Ali Maalaoui	Lecture	1	18 of 24 enrolled	21747
Fall 2022	Ali Maalaoui	Lecture	1	23 of 24 enrolled	21747