UNITE Fall 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, "piggybacking" on an on-campus section of the course in a UNITE-enhanced classroom.

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 may be required synchronous events - see below) and homework deadlines as well as University deadlines for adding courses, cancelling courses, refunds, etc.

Exams, Presentations and Homework

Assessments (exams, presentations, homework, etc.) vary class-to-class, instructor-to-instructor.  Note that some courses require that exams be taken at the same time/same day as the on-campus section of the course upon which UNITE is "piggybacking" for UNITE-enrolled students as well as live student presentations to the class.

Courses Exams Requiring Synchronous, Live Proctoring

For courses in which the instructor is holding in-class, proctored exams for those enrolled in the on-campus sections, 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 with a UNITE-approved proctor.

Any deviation from the same day/same time proctored exams for these courses - including the request to take the exams with the on-campus students - must be approved by the instructor.  UNITE will NOT grant these permissions. Work out these arrangements with the instructor before the 100% refund period ends. 

Students who arrange to come to campus and take in-class, proctored exams with the students enrolled in the on-campus section of a course do not need to find/submit a local proctor - note that this must be arranged with the instructor to verify permission/space (enrollment in a UNITE section does not hold a physical classroom seat in the classroom).

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 after 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.

Courses with Exams Not Requiring Live, In-Person Proctoring

For courses for which the instructors are using other types of exams - take-home exams, online exams (with a video proctoring service or without) - instead of in-class, proctored exams, there is no need for students who enroll in the UNITE section of a course to find and submit a proctor to UNITE for approval.

Presentations

For courses with required live presentations by students - individually or as a group - UNITE will work with the student(s) and instructor to provide a live webconference between the remote student(s) and the classroom in real time.  In some instances, UNITE-enrolled students are able to join the on-campus students in the classroom to present in person (though that is not required).  For courses with required, live presentations it is best to note that commitment for the course with the instructor before the 100% refund period ends. 

Homework Submission and Return

Increasing, 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 (opens in new window). Courses topics may be revised per instructor. Contact instructor for more detailed and up-to-date information.

Please note Important Fall Semester Dates.

Students enrolled in on-campus sections have limited access to UNITE Media; refer to UNITE Streaming Video Access for On-Campus Students for more details.

TENTATIVE FALL SCHEDULE

(Updated May 7th, 2025)

AEROSPACE ENGINEERING

To enroll in UNITE sections of Aerospace Engineering courses, use the AEM UNITE Section & Registration Form (opens in new window). 

AEM 5321 (also offered as EE 5231) - Linear Systems and Optimal Control (3.0 cr) 
Murti Salapaka (opens in new window)
UNITE streams live video of on-campus section on MW 2:30 p.m. - 3:45 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[EE 3015, CSE grad student] or instr consent; Credit will not be granted if credit has been received for AEM 5321
Description: 
Properties and modeling of linear systems. Linear quadratic and linear-quadratic-Gaussian regulators. Maximum principle.

AEM 5401 - Intermediate Dynamics (3.0 cr) - added to UNITE schedule 5/7/25
Yohannes Ketema
UNITE streams live video of on-campus section on MWF 11:15 a.m.–12:05 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSE upper div or grad, 2012, Math 2243
Description:
Three-dimensional Newtonian mechanics, kinematics of rigid bodies, dynamics of rigid bodies, generalized coordinates, holonomic constraints, Lagrange equations, applications.

AEM 5451 (also offered as EE 5251) - Optimal Filtering and Estimation (3.0 cr) 
Demoz Gerbe-Egziabher (opens in new window)
UNITE streams live video of on-campus section on TTh 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[[MATH 2243, STAT 3021] or equiv], CSE grad student] or dept consent; EE 3025, EE 4231 recommended 
Description: 
Basic probability theory, stochastic processes. Gauss-Markov model. Batch/recursive least squares estimation. Filtering of linear/nonlinear systems. Continuous-time Kalman-Bucy filter. Unscented Kalman filter, particle filters. Applications.

BIOMEDICAL ENGINEERING

To enroll in UNITE sections of Biomedical Engineering courses, use the OneStop Registration site (opens in a new window)

BMEN 5201 - Advanced Biomechanics (3 cr)
Kyoko Yoshida (opens in new window)
UNITE streams live video of on-campus section on TTh 8:15 a.m. - 9:30 a.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
BMEN 3011; CSE upper div or grad student
Description: 
Introduction to biomechanics of musculoskeletal system. Anatomy, tissue material properties. Kinematics, dynamics, and control of joint/limb movement. Analysis of forces/motions within joints. Application to injury, disease. Treatment of specific joints, design of orthopedic devices/implants.

BMEN 5411 - Neural Engineering (3.0 cr) 
Seth Koenig (opens in new window)
UNITE streams live video of on-campus section on TTh 11:15 a.m. - 12:30 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
BMEN 3401 recommended 
Description: 
Theoretical basis. Signal processing techniques. Modeling of nervous system, its response to stimulation. Electrode design, neural modeling, cochlear implants, deep brain stimulation. Prosthetic limbs, micturition control, prosthetic vision. Brain machine interface, seizure prediction, optical imaging of nervous system, place cell recordings in hippocampus.

BMEN 5801 - Biomedical Data Science (3.0 cr) 
Aashrith Saraswathibhatla (opens in new window)
UNITE streams live video of on-campus section on TTh 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
BMEn upper div or CSE grad student
Description: 
This course covers data science principles and their application to large biomedical data sets. Topics include methods in data collection and data quality assessment, data preparation, dimensionality reduction, feature extraction, machine learning, data visualization, and the use of data modeling in clinical decision making. The course reinforces these concepts through hands-on experiences with biomedical data sets across a broad range of topics: multi-omics, point-of-care diagnostic devices, biomedical imaging, cardiac and neural readouts, and electronic health records.

BMEN 8601 - Biomedical Engineering Seminar (1.0 cr) 
Seminars and Colloquia taken for credit are offered only as live and archived streaming video)
Wei Shen (opens in new window)
UNITE streams live video of on-campus section on MW 3:35 p.m. - 4:30 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Description: 
Lectures and demonstrations of university and industry research introducing students and faculty to methods and goals of biomedical engineering. 
For more information, see the Biomedical Engineering Graduate Seminar Web Site.

COMPUTER SCIENCE AND ENGINEERING

To enroll in or request UNITE sections of Computer Science and Engineering courses, use the CSCI UNITE Class & Registration Request Form (opens in a new window)

CSCI 3003 (also offered as CSCI 5465) - Introduction to Computing for Biologists (3.0) 
Optional Zoom-based weekly lab section for CSCI 3003 - coordinated by the CSCI department
Chad Myers (opens in new window)
UNITE streams live video of on-campus section on TTh 2:30 p.m.–3:45 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
Introductory biology course; non-CSE students only. 
Description: 
This course is designed for graduate students in biology or other related sciences that wish to learn fundamental computing skills that will enable them to develop their own computational approaches for meaningful interpretation of scientific data. Students will complete programming assignments in Python and R. No previous programming knowledge assumed.

CSCI 5465 (also offered as CSCI 3003) - Introduction to Computing for Biologists (3.0) 
Optional Zoom-based weekly lab section for CSCI 3003 will be available to those enrolled in the UNITE section of CSCI 5465 - coordinated by the CSCI department
Chad Myers (opens in new window)
UNITE streams live video of on-campus section on TTh 02:30 p.m.–03:45 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
Introductory biology course; non-CSE students only. 
Description: 
This course is designed for graduate students in biology or other related sciences that wish to learn fundamental computing skills that will enable them to develop their own computational approaches for meaningful interpretation of scientific data. Students will complete programming assignments in Python and R. No previous programming knowledge assumed.

CSCI 5481 - Computational Techniques for Genomics (3.0 cr) 
Dan Knights (opens in new window)
UNITE streams live video of on-campus section on MW 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
CSCI 4041 or instr consent 
Description: 
Techniques to analyze biological data generated by genome sequencing, proteomics, cell-wide measurements of gene expression changes. Algorithms for single/multiple sequence alignments/assembly. Search algorithms for sequence databases, phylogenetic tree construction algorithms. Algorithms for gene/promoter and protein structure prediction. Data mining for micro array expression analysis. Reverse engineering of regulatory networks.

CSCI 5707 - Principles of Database Systems (3.0 cr) 
Jaideep Srivastava (opens in new window)
UNITE streams live video of on-campus section on TTh 2:30 p.m. - 3:45 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
4041 or instr consent], grad student; Credit will not be granted if credit has been received for CSCI 4707 or INET 4707 
Description: 
Concepts, database architecture, alternative conceptual data models, foundations of data manipulation/analysis, logical data models, database designs, models of database security/integrity, current trends.

CSCI 8970 - Computer Science Colloquium (1.0 cr) 
Seminars and Colloquia taken for credit are offered only as live and archived streaming video)
Instructor TBA
UNITE streams live video of on-campus section on M 11:15 a.m. - 12:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Description: 
Recent developments in computer science and related disciplines. Students must attend 13 of the 15 lectures.  For the entire schedule, see the Computer Science & Engineering Colloquia Series Web Site

DATA SCIENCE

To enroll in or request UNITE sections of Computer Science and Engineering courses, use the CSci UNITE Class & Registration Request Form opens in a new window)

DSCI 8970 - Data Science Colloquium (1.0 cr) 
UNITE section enrollment limited by department 
Instructor TBA
UNITE streams live video of on-campus section on T 11:00 a.m. - 12:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour 
Description: 
Recent developments in Data Science and related disciplines. Students must attend 13 of the 15 lectures.  

ELECTRICAL AND COMPUTER ENGINEERING

To enroll in UNITE sections of Electrical and Comptuer Engineering courses, use the EE UNITE Registration Request Form (opens in a new window)

EE 5163 - Semiconductor Properties and Devices I (3.0 cr) 
The instructor is requiring on-campus attendance one class meeting every two weeks for this course.
Tony Low (opens in new window)
UNITE streams live video of on-campus section on MW 11:15 a.m. - 12:30 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
 [3161, 3601, CSE grad student] or dept consent 
Description: 
Principles/properties of semiconductor devices. Selected topics in semiconductor materials, statistics, and transport. Aspects of transport in p-n junctions, heterojunctions.

EE 5171 - Microelectronic Fabrication (4.0 cr) 
Gang Qiu (opens in new window)
UNITE streams live video of on-campus section on TTh 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
CSE grad student or dept consent 
Description: 
Fabrication of microelectronic devices. Silicon integrated circuits, GaAs devices. Lithography, oxidation, diffusion. Process integration of various technologies, including CMOS, double poly bipolar, and GaAs MESFET.

EE 5231 (also offered as AEM 5321) - Linear Systems and Optimal Control (3.0 cr) 
Murti Salapaka (opens in new window)
UNITE streams live video of on-campus section on MW 2:30 p.m. - 3:45 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[EE 3015, CSE grad student] or instr consent; Credit will not be granted if credit has been received for AEM 5321
Description: 
Properties and modeling of linear systems. Linear quadratic and linear-quadratic-Gaussian regulators. Maximum principle.

EE 5239 - Introduction to Nonlinear Optimization (3.0) 
Mingyi Hong (opens in new window)
UNITE streams live video of on-campus section on MW 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[3025, Math 2373, Math 2374, CSE grad student] or dept consent 
Description: 
Nonlinear optimization. Analytical/computational methods. Constrained optimization methods. Convex analysis, Lagrangian relaxation, non-differentiable optimization, applications in integer programming. Optimality conditions, Lagrange multiplier theory, duality theory. Control, communications, management science applications.

EE 5241 - Optimal Control and Reinforcement Learning (3.0 cr) 
Andrew Lamperski (opens in new window)
UNITE streams live video of on-campus section on MW 9:45 a.m. - 11:00 a.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
CSE grad student or instructor consent 
Description: 
A wide variety of control problems such as "walk from home to school via the shortest path" or "maintain a constant temperature" can be modeled using optimization. This course will survey a variety of methods for modeling and solving optimal control problems. In particular, we will cover numerical optimal control, model predictive control, system identification, dynamic programming, and reinforcement learning. Examples from robotics and aerospace systems will be given.

EE 5251 (also offered as AEM 5451) - Optimal Filtering and Estimation (3.0 cr) 
Demoz Gerbe-Egziabher (opens in new window)
UNITE streams live video of on-campus section on TTh 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[[MATH 2243, STAT 3021] or equiv], CSE grad student] or dept consent; EE 3025, EE 4231 recommended 
Description: 
Basic probability theory, stochastic processes. Gauss-Markov model. Batch/recursive least squares estimation. Filtering of linear/nonlinear systems. Continuous-time Kalman-Bucy filter. Unscented Kalman filter, particle filters. Applications.

EE 5271 - Robot Vision (3.0 cr) 
Changhyun Choi (opens in new window)
UNITE streams live video of on-campus section on TTh 2:30 p.m. - 3:45 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[Math 2373 or equivalent; EE 1301 or equivalent basic programming course] 
Description: 
Modern visual perception for robotics that includes position and orientation, camera model and calibration, feature detection, multiple images, pose estimation, vision-based control, convolutional neural networks, reinforcement learning, deep Q-network, and visuomotor policy learning.

EE 5301 - VLSI Design Automation I (3.0 cr)  
Sachin Sapatnekar (opens in new window)
UNITE streams live video of on-campus section on TTh 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[2301, CSE grad student] or dept consent 
Description: 
Basic graph/numerical algorithms. Algorithms for logic/high-level synthesis. Simulation algorithms at logic/circuit level. Physical-design algorithms.

EE 5323 - VSLI Design I (3.0 cr) 
Yu Cao (opens in new window)
UNITE streams live video of on-campus section on MW 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[2301, 3115, CSE grad student] or dept consent 
Description: 
Combinational static CMOS circuits. Transmission gate networks. Clocking strategies, sequential circuits. CMOS process flows, design rules, structured layout techniques. Dynamic circuits, including Domino CMOS and DCVS. Performance analysis, design optimization, device sizing.

EE 5333 - Analog Integrated Circuit Design 
Ramesh Harjani (opens in new window)
UNITE streams live video of on-campus section on TTh 8:15 a.m. - 9:30 a.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[3115, CSE grad student] or dept consent 
Description: 
Fundamental circuits for analog signal processing. Design issues associated with MOS/BJT devices. Design/testing of circuits. Selected topics (e.g., modeling of basic IC components, design of operational amplifier or comparator or analog sampled-data circuit filter).

EE 5340 - Introduction to Quantum Computing and Physical Basics of Computing (3.0 cr)  
Ulya Karpuzcu (opens in new window)
UNITE streams live video of on-campus section on MW 9:45 a.m. - 11:00 a.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
CSE grad student; A previous course in computer architecture is suggested but not required. 
Description: 
Physics of computation will explore how physical principles and limits have been shaping paradigms of computing. A key goal of this course is to understand how (and to what extent) a paradigm shift in computing can help with emerging energy problems. Topics include physical limits of computing, coding and information theoretical foundations, computing with beyond-CMOS devices, reversible computing, quantum computing, stochastic computing.

EE 5351 - Applied Parallel Programming (3.0 cr)  
John Sartori (opens in new window)
UNITE streams live video of on-campus section on MW 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[4363 or equivalent], programming experience (C/C++ preferred)
Description: 
Parallel programming/architecture. Application development for many-core processors. Computational thinking, types of parallelism, programming models, mapping computations effectively to parallel hardware, efficient data structures, paradigms for efficient parallel algorithms, application case studies.

EE 5389 (also offered as EE 4389W) - Introduction to Predictive Learning (3.0 cr) 
Vladimir Cherkassky (opens in new window)
UNITE streams live video of on-campus section on MW 2:30 p.m. - 3:45 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
EE 3025, STAT 3022 or equivalent; computer programming or MATLAB or similar environment is recommended.
Description: 
Empirical inference and statistical learning. Classical statistical framework, model complexity control, Vapnik-Chervonenkis (VC) theoretical framework, philosophical perspective. Nonlinear methods. New types of inference. Application studies.

EE 5531 - Probability and Stochastic Processes (3.0 cr) 
Mohammad Ali Maddah-Ali (opens in new window)
UNITE streams live video of on-campus section on MW 11:15 a.m. - 12:30 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
 [3025, CSE grad student] or dept consent 
Description: 
Probability, random variables and random processes. System response to random inputs. Gaussian, Markov and other processes for modeling and engineering applications. Correlation and spectral analysis. Estimation principles. Examples from digital communications and computer networks.

EE 5561 - Image Processing and Applications: From linear filters to artificial intelligence (3.0) 
Mehmet Akcakaya (opens in new window)
UNITE streams live video of on-campus section on TTh 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
 [4541, 5581, CSE grad student] or instr consent 
Description: 
Image enhancement, denoising, segmentation, registration, and computational imaging. Sampling, quantization, morphological processing, 2D image transforms, linear filtering, sparsity and compression, statistical modeling, optimization methods, multiresolution techniques, artificial intelligence concepts, neural networks and their applications in classification and regression tasks in image processing. Emphasis is on the principles of image processing. Implementation of algorithms in Matlab/Python and using deep learning frameworks.

EE 5601 - Introduction to RF/Microwave Engineering (3.0 cr) 
Rhonda Franklin (opens in new window)
UNITE streams live video of on-campus section on MW 1:00 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[EE 3601, CSE grad student] or dept consent 
Description: 
Fundamentals of EM theory and transmission lines concepts. Transmission lines and network analysis. CAD tool. Lumped circuit component designs. Passive circuit components. Connectivity to central communication theme.

EE 5705 - Electric Drives in Sustainable Energy Systems (3.0 cr) 
Siddharth Raju (opens in new window)
UNITE streams live video of on-campus section on MW 2:30 p.m. - 3:45 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[4701, CSE grad student] or dept consent
Description: 
Role of electric drives in wind-electric systems, inertial storage, elec/hybrid vehicles. AC machines for energy-efficient operation using d-q axis modeling. Vector-/direct-torque-controlled induction motor drives. Permanent-magnet and interior-permanent magnet ac motor drives. Sensorless drives. Voltage space-vector modulation technology.

EE 5811 - Biological Instrumentation (3.0 cr) 
Sang-Hyun Oh (opens in new window)
UNITE streams live video of on-campus section on TTh 11:15 a.m. - 12:30 a.m.
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
CSE grad student
Description: 
This course will cover the physics and technology of biological instruments. The operating principles of optical, electrical, and mechanical biosensors will be discussed, followed by transport and delivery of biomolecules to the sensors. Techniques to manufacture these sensing devices, along with microfluidic packaging, will be covered. Lectures will be complemented by lab demo sessions to give students hands-on experiences in microfluidic chip fabrication, microscopy, and particle trapping experiments.

EE 8310 - Advanced Topics in VLSI (3 cr)
Chris Kim (opens in new window)
UNITE streams live video of on-campus section on MW 1:00. p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
Instructor Consent
Description: 
Topics vary according to needs and staff availability.

EE 8551 - Multirate Signal Processing and Applications (3.0 cr)
Emad Ebbini (opens in new window)
UNITE streams live video of on-campus section on MW 1:00. p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
[CSE grad student] or dept consent
Description: 
Multirate discrete-time systems with applications in modern signal and data processing problems. Hilbert Spaces and Linear Operators; Reisz Bases and Frames; Vector Space Representation of Sampling, Interpolation, Time-frequency analysis and wavelets; Filterbanks and Polyphase Structures; Sparsity and redundancy with applications in linear and nonlinear approximation, super-resolution, blind-source separation.

INDUSTRIAL AND SYSTEMS ENGINEERING

To enroll in UNITE sections of Industrial Systems Engineering courses, use the ISyE Class Permission and UNITE Registration Form (opens in a new window)

IE 3521 - Statistics, Quality and Reliability (4.0 cr) 
Liyan Xie (opens in new window)
UNITE streams live video of on-campus section on TTh 3:35 p.m. - 5:20 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
MATH 1372 or equiv 
Description: 
Random variables/probability distributions, statistical sampling/measurement, statistical inferencing, confidence intervals, hypothesis testing, single/multivariate regression, design of experiments, statistical quality control, quality management, reliability, maintainability.

IE 5531 - Engineering Optimization I (4.0 cr)  
Yiling Zhang (opens in new window)
UNITE streams live video of on-campus section on MW 11:15 a.m. - 1:10 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
Upper div or grad student or CNR 
Description: 
Linear programming, simplex method, duality theory, sensitivity analysis, interior point methods, integer programming, branch/bound/dynamic programming. Emphasizes applications in production/logistics, including resource allocation, transportation, facility location, networks/flows, scheduling, production planning.

IE 5532 - Stochastic Models (3.0 cr) 
Mingyi Hong (opens in new window)
UNITE streams live video of on-campus section on TTh 9:05 a.m. - 11:00 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
Undergraduate probability and statistics. Familiarity with computer programming in a high level language. 
Description: 
Introduction to stochastic modeling and stochastic processes. Probability review, random variables, discrete- and continuous-time Markov chains, queueing systems, simulation. Applications to industrial and systems engineering including production and inventory control.

IE 5553 - Simulation (4.0 cr) - added to UNITE 5/2/2024
Darin England (opens in new window)
UNITE streams live video of on-campus section on MW 1:25 p.m. - 3:20 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
Upper div or grad student; familiarity with probability/statistics recommended: Credit will not be granted if credit has been received for IE 3553 
Description: 
Discrete event simulation. Using integrated simulation/animation environment to create, analyze, and evaluate realistic models for various industry settings, including manufacturing/service operations and systems engineering. Experimental design for simulation. Selecting input distributions, evaluating simulation output.

MECHANICAL ENGINEERING

To enroll in or request UNITE sections of Mechanical Engineering courses, use the ME UNITE Registration Request Form (opens in a new window)

ME 5243 - Advanced Mechanism Design (4.0 cr)
Arthur Erdman (opens in new window)
UNITE streams live video of on-campus section on TTh 8:00 a.m. - 9:55 a.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
CSE upper div or grad, 3222 or equiv, basic kinematics and dynamics of machines; knowledge of CAD packages such as Pro-E recommended
Description: 
Analytical methods of kinematic, dynamic, and kinetoelastodynamic analysis and synthesis of mechanisms. Computerized design for function, path, and motion generation based on Burmeister theory.

STATISTICS

To enroll in or request UNITE sections of Statistics courses, use the STAT UNITE Section & Registration Request Form (opens in a new window)

STAT 5021 - Statistical Analysis (4 cr)
Instructor TBA
UNITE streams live video of on-campus lecture section on MWF 10:10 a.m. - 11:00 a.m. 
UNITE streams live video of on-campus lab section on T 10:10 a.m. - 11:00 a.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)
Enrollment in STAT 5302 includes on-campus lab in section 2 of the lab sections (T 9:05 a.m. - 9:55 a.m.), live-streamed from a UNITE classroom 
Instructor TBA
UNITE streams live video of on-campus lecture section on MWF 9:05 a.m. - 9:55 a.m. 
UNITE streams live video of on-campus lab section on T 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), (MATH 2142 or MATH 2243 or MATH 2373 or Math 2471 or Math 2574H or CSCI 2033)
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 5102 - Theory of Statistics II (4.0 cr) 
Enrollment in STAT 5101 includes on-campus lab in section 2 of the lab sections (T 2:30 p.m. - 3:20 p.m.), live-streamed from a UNITE classroom 
Instructor TBA
UNITE streams live video of on-campus lecture section on MWF 2:30 p.m. - 3:20 p.m. 
UNITE streams live video of on-campus lab section on T 2:30 p.m. - 3:20 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
5101 or Math 5651 
Description: 
Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory.

STAT 5302 - Applied Regression Analysis (4.0 cr) 
Enrollment in STAT 5302 includes on-campus lab in section 2 of the lab sections (Th 11:15 a.m. - 12:05 p.m.), live-streamed from a UNITE classroom 
Instructor TBA
UNITE streams live video of on-campus lecture section on MWF 1:25 p.m. - 2:15 p.m. 
UNITE streams live video of on-campus lab section on Th 11:15 a.m. - 12:05 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
3032 or 3022 or 4102 or 5021 or 5102 or instr consent Please note this course generally does not count in the Statistical Practice BA or Statistical Science BS degrees. Please consult with a department advisor with questions. 
Description: 
Simple, multiple, and polynomial regression. Estimation, testing, prediction. Use of graphics in regression. Stepwise and other numerical methods. Weighted least squares, nonlinear models, response surfaces. Experimental research/applications.

STAT 5421 - Statistical Analysis (3.0 cr) 
Instructor TBA
UNITE streams live video of on-campus section on MWF 1:25 p.m. - 2:15 p.m. 
Archived videos typically available to UNITE-enrolled students within an hour 
Prerequisites: 
STAT 3022 or 3032 or 3301 or 5302 or 4051 or 8051 or 5102 or 4102 
Description: 
Varieties of categorical data, cross-classifications, contingency tables. Tests for independence. Combining 2x2 tables. Multidimensional tables/log linear models. Maximum-likelihood estimation. Tests for goodness of fit. Logistic regression. Generalized linear/multinomial-response models.