Spring 2025

For: DATA Students with DATA 151 or later

Prof. Calvin

Week of 18 Nov '24

About Me

Name
Calvin Deutschbein
Refer to me as:
Professor Calvin
they/them
Responsibilities:
Computer Science Professor
CS/DS Adviser
Email:
ckdeutschbein@willamette.edu
Website:
cd-public.github.io
Second Favorite Alien Film:
Alien: Romulus (2024)

Registration opens 11/18 (This AM)

  • Peep these dates:
    • Year Credits Reg. Date Reg. Day
    4 92+ 11/18 Monday
    3 60+ 11/19 Tuesday
    2 28+ 11/21 Thursday
    1 Any 11/25 Monday
    Open 12/02 Monday
  • Registration loosely follows what year you are.

We want you to take classes you want to take and to graduate on time.

Undeclared?

  • So you want to major in Computer Science or Data Science?
    • Email registrar@willamette.edu.
    • Copy me.
    • Include your ID #
    • Say which major(s) you want to declare.
      • You can add and/or drop majors and advisers anytime.
    • I will approve then check your student progress on SAGE.
Subject: Major Declaration

Dear Registrar,

I hope this email finds you well. My name is [Your First Name] [Your Last Name], and I am writing to formally declare my intent to major in Computer Science. My seven-digit student ID number is [Your Student ID Number].

I have also copied Prof. Calvin, at ckdeutschbein@willamette.edu, who has offered to be my in-major adviser.

Please let me know if there are any additional steps or requirements I need to complete to formalize my major declaration.

Thank you for your time and support.

Sincerely,

[Your First Name] [Your Last Name]

If you are considering a double major, just declare it so it's easier to keep track.

I do a lot of email/discord, and I meet in person MWF PM, and by Zoom TTh all day.

Advising Process

  • Are you sure there aren't *any* other advisers?
    • Click me!
    • Good choices:
      • Heather Kitada Smalley
      • Kristen Gore,
      • Hank Ibser

Requirements:

What's up with the 3+1 BS/MS.

  • Basically, it's the same for the first few years, just don't take DATA-352W.
    • Or do, there's no rules.
  • Talk to me or your advisor ASAP.
  • BS/MS Data Science is an established program in Salem or Portland.
  • BS/MS Computer Science is an established program in Portland and nascent program in Salem. 
    The M.S. is a PROFESSIONAL and TERMINAL degree. It is not a research degree, does not have a thesis component, and is not intended to prepare students for doctoral (Ph.D.) study and students interested in graduate school with a research focus should consult their advisor before committing to the program. As a professional degree, the M.S. is tuition-funded, rather than grant-funded, though undergraduate financial aid agreements apply.

Students are considered undergraduates for three years of two semesters, then graduate/professional students for one year of three semesters.

Students must ensure they meet the undergraduate credit requirement to graduate on time. In practice, this means taking four full courses (16 credit hours) every semester during the three undergraduate years, and an additional course over the three years, usually by taking two half-courses (2 credit hours each) to avoid additional tuition costs. I recommend MATH 102X, MATH 153, and ARTH 10X classes.

There are a few courses that Dual Degree students should not take because they are redundant with graduate level coursework:

    DATA 252 : Models and Machine Learning
    DATA 351 : Data Management with SQL
    DATA 352W: Ethics, Teamwork, Communications
  • Be advised of the tuition for the BS/MS - one semester at graduate/professional rates. Click me!

DATA 352W: Ethics, Teamwork, Communication

  • Pre-reqs:
  • Counts for:
  • Time:
  • Instructor:

Either 151
CS/DS requirement, Gen Ed W
TTh 13:10-14:40
Prof. Hank Ibser

Write and collaborate with peers about real world problems.

Read and discuss books and articles on data science.

Develop portfolio materials.

Fulfill multiple graduation requirements.

CS 370: Python for Data Science

  • Pre-reqs:
  • Counts for:
  • Time:
  • Instructor:

Either 151
DS Python req (ask your adviser)
MW 840-1010 or 1020-1150
Prof. Haiyan Cheng

Learn about the most powerful and popular data science libraries in use:

  • Numpy
  • Pandas
  • Matplotlib
  • Scikit Learn (Sklearn)

Learn the theory and practice of data science in a computing context.

DATA 275: Data in the Cosmos

  • Pre-reqs:
  • Counts for:
  • Time:
  • Instructor:

CS 151
CS/DS elective, Gen Ed NATSCI
MW 13:10-14:40
Prof. Jed Rembold

Choose R or Python

Work in partners on real world data/computing problems.

Do some machine learning.

Interdisciplinary.

Knowing algebra+geometry helps

Only CS/DS elective to fulfill NATSCI gen ed req.

Other Courses:

  • Data science majors need a stat class
    • DATA 152: MW 10:20-11:50 or 1:10-2:40
    • MATH 138: MWF 1:10-2:10
  • Data science majors need MATH 150 then MATH 280
    • MATH 150: MWF 10:20-11:20
    • MATH 280: MWF 1:10-2:10
  • Data science majors who aren't dual degree interests need DATA 252
    • requires DATA 151 and either DATA 152 or MATH 138
    • Graduating soon?
  • Another elective: DATA 429
    • requires either DATA 152 or MATH 138
    • TTh 2:50-4:20

Takeaways

  • Data science majors should take:
    • DATA 152/MATH 138 or DATA 252
    • MATH 150 or MATH 280

Graduation Requirements

Besides a major, you have general education and credit hour requirements to graduate:

  • 5x General Education
    • 2x AH (Arts & Humanities)
    • 3x Sciences
      • 1x MS (Mathematical)
      • 1x NS (Natural)
      • 1x SS (Social)
  • 4x WE
    • 2x NEL (Non-English Language)
    • 2x Any WE, from any of
      • NEL
      • CEL (Community Engaged Learning)
      • CV (Cultural Values)
  • 2x W
    • 1x 300+ W
    • 1x ANY W
  • 1x PDE

Graduation Requirements

DATA majors only worry about these ones:

  • 4x General Education
    • 2x AH (Arts & Humanities)
    • 2x Sciences
      • 1x NS (Natural)
      • 1x SS (Social)
  • 4x WE
    • 2x NEL (Non-English Language)
    • 2x Any WE, from any of
      • NEL
      • CEL (Community Engaged Learning)
      • CV (Cultural Values)
  • Can be combined with any of the above
    • 1x W
    • 1x PDE

      Basically: 4 years of classes which may include DATA 275.

Building a Good Schedule

Here is my algorithm.

  1. Schedule all major-required courses
    • DATA 152/MATH 138 > everything else
    • MATH classes often have waitlists
  2. Schedule elective requirements and graduation requirements by preference.
  3. Reach a minimum of 17 (!!!) credits to avoid "bad" outcomes
    • ARTH-10X ??? (2 Credits)
    • Use X-suffixed classes, like MATH 102X, to exceed 18 for extra safety.

In general, I approve via email any 4-course schedule with 1+ major requirement and 3+ graduation requirement courses.