CPSC 440

Fall 2026 All Classes

All Classes

Applied Statistical Methods I

Credit: 4 hours.

Statistical methods involving relationships between populations and samples; collection, organization, and analysis of data; and techniques in testing hypotheses with an introduction to regression, correlation, and analysis of variance limited to the completely randomized design and the randomized complete-block design.

Same as ANSC 440, FSHN 440, NRES 440, and NUTR 440. 4 undergraduate hours. 4 graduate hours. Prerequisite: MATH 112 or equivalent.

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CPSC 440 class schedule data for fall 2026
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
33573	Lecture	AL1	3:30PM -4:50PM	TR	149 National Soybean Res Ctr	Lipka, A	Availability: CrossListOpen Part of Term: 1 Date Range: 08/24/26-12/09/26 Section Info: Students are required to log in and use Canvas in order to complete this course.
34027	Online Lab	AY2	ARRANGED	n.a.	n.a.	Lipka, A	Availability: CrossListOpen Part of Term: 1 Date Range: 08/24/26-12/09/26
34045	Online Lab	AY3	ARRANGED	n.a.	n.a.	Lipka, A	Availability: CrossListOpen Part of Term: 1 Date Range: 08/24/26-12/09/26
34058	Online Lab	AY4	ARRANGED	n.a.	n.a.	Lipka, A	Availability: CrossListOpen Part of Term: 1 Date Range: 08/24/26-12/09/26
55891	Online Lab	AY6	ARRANGED	n.a.	n.a.	Lipka, A	Availability: CrossListOpen Part of Term: 1 Date Range: 08/24/26-12/09/26
50432	Online	OLP	ARRANGED	n.a.	n.a.	Lipka, A	Availability: CrossListOpen (Restricted) Part of Term: 1 Date Range: 08/24/26-12/09/26 Section Info: Online scheduled class sessions require each student to have high speed internet access and either a headset with microphone or an external microphone and speakers so they may participate in the class discussions. Wireless internet is not recommended. This section is restricted to online programs only. Restriction(s): Restricted to MS:Crop Sciences -UIUC, NDEG:Crop Sciences -UIUC, MS: FSHN (Online) -UIUC, MS: Agricultural Educ -UIUC, MS:Nat Res Env Sci -UIUC, NDEG:Graduate OR - UIUC, MENG:ENGR:Digital Ag ONL- UIUC, or NDEG:ENGR:Digital Ag ONL- UIUC.