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The official description sets scope
The Rutgers source establishes the stable academic frame for Machine Learning Principles; the section syllabus controls current details.
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01:198:461 · Computer Science · School 01 — New Brunswick School of Arts and Sciences
Instructor Profile: Stratos, Karl Prerequisite Information: Although the course has CS 206 as one of the pre-requisites, which requires M 152 (Calculus II), it does not require students to have an in-depth knowledge of integration. Thus, this prerequisite can be replaced by alternative classes on probability in Mathematics or Statistics. Expected Work: To assess if students have a suitable technical background, there will be a short entrance quiz on linear algebra, calculus (differentiation only), and probability.
Can I take it?
Intro Linear Algebra · Introduction To Discrete Structures II · Data Structures
Students rate teaching
SIRS · 166 responses · 2021–2025
Spring 2027
1 open in snapshot · 1 instructor
When it meets
Livingston
Checked-in sections · current seat counts are unavailable.
W 12:10 PM · Livingston · 1 section · 1 open
AI-generated overview
3 units · topic sequence may vary by instructor
Establish the official scope of Machine Learning Principles and the vocabulary needed to read the current section syllabus accurately.
Work through the central evidence, methods, or practices named by the official description without assuming a section-specific sequence.
Connect course concepts, test their limits, and use the current instructor’s guidance to determine the required form of analysis or practice.
The Rutgers source establishes the stable academic frame for Machine Learning Principles; the section syllabus controls current details.
Use the forms of evidence and reasoning appropriate to the discipline rather than relying on title-level assumptions.
Verify prerequisites, materials, assessment rules, and deadlines against the active term and instructor.
Common pitfall
Instead
Use the current section syllabus for readings, assignments, grading, and schedule.
Common pitfall
Instead
Define unfamiliar terms early and connect each term to a concrete course example.
Common pitfall
Instead
State what the course evidence supports and where the conclusion remains limited.
1 open · Livingston
| Section | Status | Instructor | Meeting | Campus |
|---|---|---|---|---|
| 0114537 | Open | Lesia Semenova | Wednesday 12:10 PM-1:30 PM at LSH B117; Friday 2:00 PM-3:20 PM at LSH B117; Wednesday 2:15 PM-3:10 PM at LSH B267LSH B117LSH B267 | Livingston |
Historical student surveys
Teaching
4.03
Course quality
4.03
Response rate
33.9%
Coverage
7 offerings · 2021–2025
| Instructor | Offerings | Teaching | Quality |
|---|---|---|---|
| Charles Cowan | 2 | 4.80 | 4.70 |
| Diana Kim | 2 | 3.50 | 3.50 |
| Jang Sun Lee | 1 | 4.50 | 4.60 |
| Qiong Zhang | 1 | 4.10 | 4.20 |
| Karl Stratos | 1 | 3.00 | 3.00 |
Catalog and planning context
Credits
4
Current campuses
Livingston
Current availability
1 open of 1
Catalog terms
Fall, Spring
Core codes
None listed
Loaded terms
5
(01:640:250 and 01:198:206 and 01:198:112 and 01:198:112) <em> OR </em> (01:640:250 and 14:332:226 and 01:198:112 and 01:198:112) <em> OR </em> (01:640:250 and 01:960:379 and 01:198:112 and 01:198:112) <em> OR </em> (01:640:250 and 01:640:477 and 01:198:112 and 01:198:112) <em> OR </em> (01:640:250 and 14:332:226 and 14:332:351 and 14:332:351) <em> OR </em> (01:640:250 and 01:198:206 and 14:332:351 and 14:332:351)
No direct degree-list membership appears in the checked-in requirement index.