Dr. Ingrid Solberg
Associate Professor of Computer Science; Co-chair of the AI Advisory Council
Instructor for DATA 401, Fall 2026
- Office
- Founders Hall 300
- Phone
- (555) 555-0135
- isolberg
@university.alkimi.ai
DATA 401 · Data Science
Machine Learning and Neural Networks
Deep learning architectures, backpropagation algorithms, convolutional neural networks, recurrent neural networks, transformers, and regularization in PyTorch.
Catalog overview
Course Essentials
- Credits
- 4
- semester credit hours
- Level
- 400
- Upper division
- Typically offered
- Fall
- Fall semester only
Prerequisites
DATA 301 and MATH 240. Includes laboratory.
400-level courses: advanced capstone, senior research, and specialized seminars. This course counts toward the 36 upper-division credits every bachelor's degree requires (Undergraduate Catalog §2.3). Details: Undergraduate Catalog §9.5.
Generative AI in this course
Every syllabus must state one of three levels: Level 1 (AI not permitted for graded work), Level 2 (AI permitted with disclosure for specified tasks), Level 3 (AI permitted broadly with disclosure). Check your section's syllabus in Canvas. Unless it says otherwise, the university default applies: generative AI tools may be used for brainstorming, studying, and feedback on your own drafts, but not to produce work you submit for a grade.
Details: Student Handbook §5.7 and Student Handbook §5.8. See what each AI level allows.
Offered by
Data Science Program
Questions: Academic Advising Center
- Office
- Lovell Hall 101
- Phone
- (555) 555-0158
- advising@university.alkimi.ai
Degree planning
Where DATA 401 fits
What to take first, what this course opens up, and the requirements it can satisfy, from the Undergraduate Catalog.
Take first
- DATA 301 Data Mining and Predictive Modeling 3 credits · Fall
- MATH 240 Multivariable Calculus 4 credits · Fall, Spring
Catalog wording: DATA 301 and MATH 240. Includes laboratory.
This course
DATA 401
Machine Learning and Neural Networks
4 credits · 400-level · Fall
Counts toward
- Required Data Science (BS) Required course (Major Requirements & Supporting Disciplines). Undergraduate Catalog §6.3
Every course also counts toward the 120 credits needed for a bachelor's degree. Confirm your plan with your advisor or the Academic Advising Center.
AP credit
No AP exam awards credit for DATA 401. See the full AP equivalency table (Undergraduate Catalog §3.11).
2026–27 Instructors
Who teaches DATA 401
Meeting times and rooms for each term are listed in AlkimiHub when registration opens.
Department chairs make teaching assignments each year (Faculty Handbook §5.1), and every instructor posts the syllabus in Canvas by the first day of classes (Faculty Handbook §5.2).
Registration
How to enroll in DATA 401
-
Add it in AlkimiHub
DATA 401 is typically offered in the fall semester. Register through AlkimiHub self-service registration, which opens by credit standing. Until the add deadline, you don't need instructor permission as long as seats remain and you've met the prerequisites. Details: Student Handbook §3.3.
-
If the section is full, join the waitlist
When a seat opens, AlkimiHub offers it to the first student on the waitlist and emails you. You have 24 hours to claim it before it goes to the next student. Details: Student Handbook §3.10.
Fall 2026 add deadline
Last day to add a course or change sections (11:59 p.m.).
Fall 2027 registration opens
By credit standing, in AlkimiHub.
All dates: academic calendar. Registration help: Office of the Registrar.
DATA courses
More in Data Science
- DATA 201 Introduction to Data Science & Analytics
- DATA 301 Data Mining and Predictive Modeling
- DATA 350 Big Data Infrastructure & Distributed Computing
- DATA 401 Machine Learning and Neural Networks (this course)
- DATA 490 Senior Data Science Capstone Project