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Alkimi University Academics

DATA 350 · Data Science

Big Data Infrastructure & Distributed Computing

Distributed storage, map-reduce paradigms, Apache Spark, stream processing, cloud data warehouses, and scalable pipeline architectures for massive datasets.

How to enroll Where it fits Catalog Entry

Catalog overview

Course Essentials

Credits
3
semester credit hours
Level
300
Upper division
Typically offered
Spring
Spring semester only
Subject
Data Science
5 courses in the catalog

Prerequisites

CS 250 and CS 350.

300-level courses: advanced, upper-division courses requiring prior foundational preparation. 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
Email
advising@university.alkimi.ai

Degree planning

Where DATA 350 fits

What to take first, what this course opens up, and the requirements it can satisfy, from the Undergraduate Catalog.

This course

DATA 350

Big Data Infrastructure & Distributed Computing

3 credits · 300-level · Spring

Leads to

No other catalog course lists DATA 350 as a prerequisite.

Counts toward

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 350. See the full AP equivalency table (Undergraduate Catalog §3.11).

2026–27 Instructors

Who teaches DATA 350

Portrait of Dr. Ingrid Solberg

Dr. Ingrid Solberg

Associate Professor of Computer Science; Co-chair of the AI Advisory Council

Instructor for DATA 350, Spring 2027

Office
Founders Hall 300
Phone
(555) 555-0135
Email
isolberg@university.alkimi.ai

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 350

  1. Check the prerequisites

    CS 250 and CS 350.

  2. Add it in AlkimiHub

    DATA 350 is typically offered in the spring 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.

  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.

Spring 2027 registration opens

By credit standing, in AlkimiHub.

Spring 2027 add deadline

Last day to add a course or change sections (11:59 p.m.).

All dates: academic calendar. Registration help: Office of the Registrar.

DATA courses

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