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DATA152 (or MATH 138 + know R) |
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Data scientists are driving advancements in the 4th (!) industrial revolution.
Students learn to tackle complex engineering problems and drive the next wave of innovation. |
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MATH 152, AP Calc BC, or ask |
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CS 151, but at least co-enroll CS 152 |
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Year | Credits | Reg. Date | Reg. Day |
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4 | 76+ | 04/15 | Monday |
3 | 44+ | 04/16 | Tuesday |
2 | 04/18 | Thursday | |
Open | 04/22 | Monday |
We want you to take classes you want to take and to graduate on time.
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, and I meet in person MW AM, and by Zoom TTh all day.
Maybe this CS thing isn't so bad. What should I take next semester?
CS 151: Intro to Programming in Python MWF 910-1010 MWF 1050-1150 MWF 1200-1300 CS 152: Data Structures MW 1020-1150 CS 351: Analysis of Algorithms MWF 910-1010 MATH 251W: Foundations of Advanced Math MWF 1200-1300
Maybe I'd rather major in Data Science. What should I take next semester?
DATA 151 TTh any time DATA 152 MW 1310-1440 TTh 1310-1440 DATA 351: Data Management with SQL* MW 1450-1620 MATH 280: Math for Data Science MWF 1310-1410
We have some fun offerings next term:
CS 280 (Foundations of Human-Computer Interaction) TTh 940-1110 DATA 299 (Statistical Engineering) MW 1450-1620 STAT 341 (Mathematical Statistics I) MW 1310-1440
MATH 345 (Complex Analysis) MW 1310-1440 MATH 446 (Real Analysis) MWF 840-1010 MATH 462 (Number Theory) MWF 940-1110
What's up with the 3+1 BS/MS.
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
Besides a major, you have general education and credit hour requirements to graduate:
DATA majors only worry about these ones:
Here is my algorithm.
In general, I approve via email any 4-course schedule with 1+ major requirement and 3+ graduation requirement courses.
Do this.
We want to help you have a good semester.