UNITE Summer 2025 Course Offerings
UNITE Distributed Learning provides access to live streaming video of class sessions plus same-day access to streaming video archives of course meetings to the students who enroll through UNITE in a UNITE section of the course.
Semester Schedule
The UNITE sections of a course follow the same semester schedule as the on-campus section of the course. This includes exams (which are synchronous events - see below) and homework deadlines as well as University deadlines for adding courses, cancelling courses, refunds, etc.
Exams and Homework
Exams are Synchronous
Students enrolled through UNITE are REQUIRED to take exams on the same day/same time as the students enrolled in the on-campus sections of the course. If you need to make other arrangements you will need to contact the instructor directly - work out these arrangements with the instructor before the 100% refund period ends.
Exams Must be Proctored by a Person (live proctoring)
Students are responsible for finding and submitting proctor information to UNITE to evaluate and approve. UNITE will contact all students enrolled through UNITE to initiate this process shortly as the semester begins.
Final Exams: Final exam dates are posted in the official University of Minnesota Class Schedule.UNITE will stream video on Saturdays. If you are enrolled in a UNITE section with an exam on a Saturday, you will need to have a proctor administer the exam. If you need to make other arrangements you will need to contact the instructor directly to seek approval.
Homework Submission and Return
Increasingly, faculty and TAs are using Canvas course sites for submission and return of homework.
For those faculty and TAs who do not, homework may be submitted to UNITE via email. Our office will record submissions and deliver to instructors and/or TAs for grading. Graded materials will be returned to your University email account when we receive it.
For more information, refer to the "Step Two: Know How UNITE Works" of UNITE Steps to Success.
The courses offered are subject to change. For the summer semester, UNITE will stop recording/streaming a course if there are no students enrolled in that course through UNITE.
Course descriptions taken from the University of Minnesota's Schedule Builder. Courses topics may be revised per instructor. Contact instructor for more detailed and up-to-date information.
Grad 0999 – 51566 Call Number – UNITE students must register online themselves for this status. Graduate students registering for this status must register before the semester begins or they will be charged the normal late registration fees.
Please note Summer Semester Dates to Remember.
NOTE FOR ON-CAMPUS STUDENTS: In the Summer Semester, access to the UNITE streaming videos is extremely limited - only available for courses with UNITE enrollments AND faculty determine whether students enrolled in the on-campus sections get access. For more information, see UNITE Streaming Video Access for On-Campus Students.
TENTATIVE UNITE SUMMER SCHEDULE
(updated June 2nd, 2025)
See online tools to search all credit offerings:
Class Schedules by Department (Aerospace Engineering site)
ClassInfo (Humphrey School of Public Affairs site)
(Note: These lists ALL offerings - on-campus, including UNITE offerings)
NOTE: Any UNITE sections for Summer 2025 without enrollments one week prior to start of semester will be cancelled.
EE 4301 - Digital Design With Programmable Logic (4.0)
The instructor will conduct the lab section for UNITE-enrolled students using Zoom, MW 2:30 p.m. - 4:25 p.m. Students will be able to attend the live Zoom meetings and watch the recordings.
Bob Mahmoodi
06/9/2025 - 08/01/2025 (Eight-Week Course)
UNITE streams live video of on-campus section on MWF 12:20 p.m. - 2:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
2301, [1301 or CSCI 1113 or CSCI 1901]
Description:
Introduction to system design/simulation. Design using Verilog code/synthesis. Emulation using Verilog code.
EE 4541 - Digital Signal Processing (3.0 cr.)
Instructor is using Zoom for this course - UNITE is not streaming/recording
Bob Mahmoodi
06/9/2025 - 08/01/2025 (Eight-Week Course)
Instructor is using Zoom for this course - UNITE is not streaming/recording
Prerequisites:
[3015, 3025] or instr consent
Description:
Review of linear discrete time systems and sampled/digital signals. Fourier analysis, discrete/fast Fourier transforms. Interpolation/decimation. Design of analog, infinite-impulse response, and finite impulse response filters. Quantization effects.
STAT 3011 - Introduction to Statistical Analysis (4.0 cr)
Required Discussion (02) that UNITE is recording/streaming for UNITE-enrolled students.
Eugenie Ngandjeu Nya
06/9/2025 - 08/01/2025 (Eight-Week Course)
UNITE streams live video of on-campus lecture on MTWTh 11:15 a.m. - 12:05 p.m.
UNITE streams live video of on-campus lab on F 11:15 a.m. - 12:05 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Credit will not be granted if credit has been received for ANSC 3011, ESPM 3012
Description:
Standard statistical reasoning. Simple statistical methods. Social/physical sciences. Mathematical reasoning behind facts in daily news. Basic computing environment.
STAT 4101 - Theory of Statistics I (4.0 cr.)
Required Discussion (02) that UNITE is recording/streaming for UNITE-enrolled students.
Kazeem Adepoju
06/9/2025 - 08/01/2025 (Eight-Week Course)
UNITE streams live video of on-campus lectures on MTWTh 9:05 a.m. - 9:55 a.m.
UNITE streams live video of the on-campus discussions on F 9:05 a.m. - 9:55 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Math 1272 or Math 1372 or Math 1472 or Math 1572H
Description:
Random variables/distributions. Generating functions. Standard distribution families. Data summaries. Sampling distributions. Likelihood/sufficiency.
STAT 5021 - Statistical Analysis (4.0 cr)
Required Discussion (02) that UNITE is recording/streaming for UNITE-enrolled students.
Eugenie Ngandjeu Nya
06/9/2025 - 08/01/2025 (Eight-Week Course)
UNITE streams live video of on-campus lecture on MTWTh 11:15 a.m. - 12:05 p.m.
UNITE streams live video of on-campus lab on F 11:15 a.m. - 12:05 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011
Description:
Intensive introduction to statistical methods for graduate students needing statistics as a research technique.
STAT 5101 - Theory of Statistics I (4.0 cr.)
Required Discussion (02) that UNITE is recording/streaming for UNITE-enrolled students.
Kazeem Adepoju
06/9/2025 - 08/01/2025 (Eight-Week Course)
UNITE streams live video of on-campus lectures on MTWTh 9:05 a.m. - 9:55 a.m.
UNITE streams live video of the on-campus discussions on F 9:05 a.m. - 9:55 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
[Math 2263 or Math 2374 or Math 2573H], [CSCI 2033 or Math 2373 or Math 2243]
Description:
Logical development of probability, basic issues in statistics. Probability spaces. Random variables, their distributions and expected values. Law of large numbers, central limit theorem, generating functions, multivariate normal distribution.
STAT 5401 - Applied Multivariate Methods (3.0 cr.) - added to UNITE schedule 4/30
Kazeem Adepoju
06/9/2025 - 08/01/2025 (Eight-Week Course)
UNITE streams live video of on-campus lecture on MTWTh 11:15 a.m. - 12:05 p.m.
Prerequisites:
STAT 3032 or 3301 or 3022 or 4102 or 5021 or 5102 or instr consent Although not a formal prerequisite of this course, students are encouraged to have familiarity with linear algebra prior to enrolling. Please consult with a department advisor with questions.
Description:
Bivariate and multivariate distributions. Multivariate normal distributions. Analysis of multivariate linear models. Repeated measures, growth curve, and profile analysis. Canonical correlation analysis. Principal components and factor analysis. Discrimination, classification, and clustering.