UNITE Fall 2022 Course Offerings

UNITE Distributed Learning provides access to live streaming video of class sessions plus same-day access to streaming video archives and downloadable video and audio files 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 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.

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. 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.

Undergraduate students taking classes on campus may enroll in UNITE courses with instructors' permission. Learn more about Undergraduate Credit Enrollment though UNITE.

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 September 6th, 2022)

Use online tools to search all University credit offerings:
Aerospace Engineering's Class Schedules by Department online search tool
Humphrey School of Public Affairs' ClassInfo online search tool
(Note: These tools list ALL offerings - on-campus, including UNITE offerings)

AEROSPACE ENGINEERING

AEM 3101 - Mathematical Modeling and Simulation in Aerospace Engineering (2.0 cr)
Yohannes Ketema
UNITE streams live video of on-campus section on WF 9:05 a.m. - 9:55 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
MATH 2373 or MATH 2574H or MATH 2243 or MATH 2471, BAEM jr or sr
Description:
Mathematical modeling of engineering systems/numerical methods for their solution. Use of MATLAB. Focus on systems found in aerospace engineering/mechanics.

AEM 5321 (also offered as EE 5231) - Linear Systems and Optimal Control (3.0 cr)
Maziar Hemati
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
Description:
Properties and modeling of linear systems. Linear quadratic and linear-quadratic-Gaussian regulators. Maximum principle.

AEM 5401 - Intermediate Dynamics (3.0 cr)
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)
Kirsten Strandjord
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.

AEM 8442 - Aerospace Positioning, Navigation and Timing (3.0 cr)
Kirsten Strandjord
UNITE streams live video of on-campus section on TTh 9:45 a.m. - 11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Exposure to [linear algebra, differential equations, probability, statistics]
Description:
Fundamental principles of navigation. Algorithms, performance analysis of navigational systems. Radio-navigation systems (DME,VOR,ILS). Satellite navigation ysstems (GPS,GLDNASS). Inertial navigation systems mechanization, error analysis.

BIOMEDICAL ENGINEERING

BMEN 5001 - Advanced Biomaterials (3.0 cr)
Added to UNITE schedule April 4th!
Wei Shen
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:
3301 or MatS 3011 or grad student or instr consent
Description:
Commonly used biomaterials. Chemical/physical aspects. Practical examples from such areas as cardiovascular/orthopedic applications, drug delivery, and cell encapsulation. Methods used for chemical analysis and for physical characterization of biomaterials. Effect of additives, stabilizers, processing conditions, and sterilization methods.

BMEN 5201 - Advanced Biomechanics (3.0 cr)
Victor Barocas
Flipped format course:
The instructor will provide course materials (including videos accessible on-demand), assignments and assessments through the Canvas course website and students will meet for synchronous Zoom sessions weekly.  Those enrolled in the UNITE section will have two evening Zoom-based discussions weekly on a schedule determined by enrollee/TA schedules.  These sessions will be up to one hour in length.  As this course has three scheduled exams, UNITE-enrolled students will complete these exams per normal UNITE policy -- same day/same time as the on-campus section students (TTh 8:15 - 9:30) with a UNITE-approved proctor -- unless otherwise approved by the instructor.   
Prerequisites:
[[3001 or equiv], [CSE upper div or grad student]] or instr consent
Description:
Introduction to biomechanics of soft tissue, with emphasis on common mathematical models to capture the nonlinear (strain-dependent), anisotropic (direction-dependent), and viscoelastic (rate-dependent) nature of tissue response. The goal is to enable a student to read and understand the soft-tissue biomechanics literature and to prepare the student to perform theoretical and experimental biomechanical studies of tissue behavior.

BMEN 5401 - Advanced Biomedical Imaging (3.0 cr)
Added to UNITE schedule April 4th!
Alexander Opitz
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:
CSE upper div or grad student or instr consent
Description:
Functional biomedical imaging modalities. Principles/applications of technologies that offer high spatial/temporal resolution. Bioelectromagnetic and magnetic resonance imaging. Other modalities.

BMEN 5411 - Neural Engineering (3.0 cr)
Tay Netoff
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 5412 - Neuromodulation (3.0 cr)
Matthew Johnson
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 upper div or grad student
Description:
Fundamentals of bioengineering approaches to modulate the nervous system, including bioelectricity, biomagnetism, and optogenetics. Computational modeling, design, and physiological mechanisms of neuromodulation technologies. Clinical exposure to managing neurological disorders with neuromodulation technology.

BMEN 5501 - Biology for Biomedical Engineers (3.0 cr)
Jonathan Sachs Brian Herman
UNITE streams live video of on-campus section on MWF 12:20 p.m. - 1:10 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Engineering upper div or grad student
Description:
Concepts of cell/tissue structure/function. Basic principles of cell biology. Tissue engineering, artificial organs.

BMEN 8601 - Biomedical Engineering Seminar (1.0 cr)
Seminars and Colloquia taken for credit are offered only as live and archived streaming video - NO downloadable video or audio podcast versions are offered.
Wei Shen
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.

Looking for a course not listed here? Ask for it! We already offer many College of Science and Engineering courses through UNITE, but are looking for other courses that we can offer through UNITE.  Use our online Course Request Form

COMPUTER SCIENCE AND ENGINEERING

CSCI 3003 (also offered as CSCI 5465) - Introduction to Computing for Biologists (3.0)
UNITE section enrollment limited by department to 20 (6 available as of September 6th)
Enrollment in 3003 requires on-campus lab in one of the lab sections. 

Labs meet in Keller 1-260 (section 02 is F 8:05 a.m. - 9:55 a.m.; section 03 is F 10:10 p.m. - 12:05 p.m., section 04 is F 12:15 p.m. - 2:15 p.m.; when enrolling through UNITE in 3003, list which lab you would like to have on the UNITE registration form). 
Chad Myers
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 4061 - Introduction to Operating Systems ( 3.0 cr)
Added to UNITE schedule March 24th!
UNITE section enrollment limited by department to 10 (3 available as of September 6th)
Required On-Campus Lab for CSCI 4061 - 
UNITE will enroll you in both the lecture section and the lab section.  When enrolling through UNITE, first determine a lab section (must be from sections 002-007 and have open seats) you will attend in person and include that information with your UNITE Registration Form. 
Jon Weissman
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:
CSCI 2021 or EE 2361; CS upper div, CS minor, CompE upper div., EE upper div., EE grad, ITI upper div., Univ. honors student, or dept. permission; no cr for grads in CSCI; Credit will not be granted if credit has been received for: INET 4001
Description:
Processes/threads, process coordination, interprocess communication, asynchronous events, memory management/file systems. Systems programming projects using operating system interfaces and program development tools.

CSCI 4203/EE 4363 - Computer Architecture and Machine Organization (3.0 cr)
UNITE section enrollment limited by department to 10 (8 available as of September 6th)

Added to UNITE schedule September 6th!
Antonia Zhai
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:
2361; Credit will not be granted if credit has been received for: CSCI 4203, EE 5361
Description:
Introduction to computer architecture. Aspects of computer systems, such as pipelining, memory hierarchy, and input/output systems. Performance metrics. Examines each component of a complicated computer system.

CSCI 5103 - Operating Systems (3.0 cr)
UNITE section enrollment limited by department to 10 (7 available as of September 6th)

Abhishek Chandra
UNITE streams live video of on-campus section on TTh 1:00 pm. - 2:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSCI 4061 or instr consent
Description:
Conceptual foundation of operating system designs and implementations. Relationships between operating system structures and machine architectures. UNIX implementation mechanisms as examples.

CSCI 5106 - Programming Languages (3.0 cr)
UNITE section enrollment limited by department to 10 (7 available as of September 6th)

Gopalan Nadathur
UNITE streams live video of on-campus section on MW 2:30 pm. - 3:45 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSCI 4011 or instr consent
Description:
Design and implementation of high-level languages. Course has two parts: (1) language design principles, concepts, constructs; (2) language paradigms, applications. Note: course does not teach how to program in specific languages.

CSCI 5204 (also offered as EE 5364) - Advanced Computer Architecture (3.0 cr)
UNITE section enrollment limited by department to 10 (7 available as of September 6th)

Pen-Chung Yew
UNITE streams live video of on-campus section on TTh 9:45 a.m. - 11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
 [4061 or instr consent], basic knowledge of [computer architecture, operating systems, probability], grad student; Credit will not be granted if credit has been received for CSCI 4211 or INET 4202
Description:
Instruction set architecture, processor microarchitecture, memory, I/O systems. Interactions between computer software and hardware. Methodologies of computer design.

CSCI 5211 Data Communications and Computer Networks (3.0 cr)
UNITE section enrollment limited by department to 10 (10 available as of September 6th)

David Hung-Chang Du
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:
4203 or EE 4363; Credit will not be granted if credit has been received for EE 5364
Description:
Concepts, principles, protocols, and applications of computer networks. Layered network architectures, data link protocols, local area networks, network layer/routing protocols, transport, congestion/flow control, emerging high-speed networks, network programming interfaces, networked applications. Case studies using Ethernet, Token Ring, FDDI, TCP/IP, ATM, Email, HTTP, and WWW.

CSCI 5271 - Introduction to Computer Security (3.0 cr)
UNITE section enrollment limited by department to 10 (5 available as of September 6th)

Kangjie Lu
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:
4061 or equiv or instr consent
Description:
Concepts of computer, network, and information security. Risk analysis, authentication, access control, security evaluation, audit trails, cryptography, network/database/application security, viruses, firewalls.

CSCI 5304 - Computational Aspects of Matrix Theory (3.0 cr)
UNITE section enrollment limited by department to 10 (5 available as of September 6th)

Yousef Saad
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:
Perturbation theory for linear systems and eigenvalue problems. Direct/iterative solution of large linear systems. Matrix factorizations. Computation of eigenvalues/eigenvectors. Singular value decomposition. LAPACK/other software packages. Introduction to sparse matrix methods.
Description:
2031 or 2033 or instr consent

CSCI 5421 - Advanced Algorithms and Data Structures (3.0 cr)
UNITE section enrollment limited by department to 10 (4 available as of September 6th)

Ravi Janardan
UNITE streams live video of on-campus section on MW 8:15 a.m. - 9:30 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSCI 4041 or instr consent
Description:
Fundamental paradigms of algorithm and data structure design. Divide-and-conquer, dynamic programming, greedy method, graph algorithms, amortization, priority queues and variants, search structures, disjoint-set structures. Theoretical underpinnings. Examples from various problem domains.

CSCI 5451 - Introduction to Parallel Computing: Architectures, Algorithms, and Programming (3.0 cr)
UNITE section enrollment limited by department to 10 (10 available as of September 6th)

George Karypis
UNITE streams live video of on-campus section on TTh 9:45 a.m. - 11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
4041 or instr consent
Description:
Parallel architectures design, embeddings, routing. Examples of parallel computers. Fundamental communication operations. Performance metrics. Parallel algorithms for sorting. Matrix problems, graph problems, dynamic load balancing, types of parallelisms. Parallel programming paradigms. Message passing programming in MPI. Shared-address space programming in openMP or threads.

Looking for a course not listed here? Ask for it! We already offer many College of Science and Engineering courses through UNITE, but are looking for other courses that we can offer through UNITE.  Use our online Course Request Form

CSCI 5465 (also offered as CSCI 3003) - Introduction to Computing for Biologists (3.0)
UNITE section enrollment limited by department to 20 (6 available as of September 6th)

Chad Myers
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)
UNITE section enrollment limited by department to 10 (4 available as of September 6th)

Dan Knights
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:
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 5511 - Artificial Intelligence I (3.0 cr)
Added to UNITE Schedule March 24th!
UNITE section enrollment limited by department to 10 (6 available as of September 6th)
Maria Gini
UNITE streams live video of on-campus section on MW 4:00 p.m.–4:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
[CSCI 2041 or instr consent], grad student; Credit will not be granted if credit has been received for CSCI 4511W
Description:
Introduction to AI. Problem solving, search, inference techniques. Logic/theorem proving. Knowledge representation, rules, frames, semantic networks. Planning/scheduling. Lisp programming language.

CSCI 5512 - Artificial Intelligence II (3.0 cr) - removed from Fall schedule by department April 12th

CSCI 5521 - Introduction to Machine Learning (3.0 cr)
UNITE section enrollment limited by department to 10 (no enrollments available as of August 10th; UNITE will keep a wait list in the event that there are cancellations from the UNITE section - to be placed on the waitlist, submit a UNITE Registration form for the course)

Kshitij Tayal
UNITE streams live video of on-campus section on TTh 1:00 p.m. – 2:15 p.m.
Prerequisites:
[[CSCI 2031 or CSCI 2033], STAT 3021] or instr consent
Description:
Problems of pattern recognition, feature selection, measurement techniques. Statistical decision theory, nonstatistical techniques. Automatic feature selection/data clustering. Syntactic pattern recognition. Mathematical pattern recognition/artificial intelligence.

CSCI 5525 - Machine Learning (3.0 cr)
UNITE section enrollment limited by department to 10 (3 available as of September 6th)

Nicholas Johnson
UNITE streams live video of on-campus section on TTh 4:00 p.m. - 5:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Grad student or instr consent
Description:
Models of learning. Supervised algorithms such as perceptrons, logistic regression, and large margin methods (SVMs, boosting). Hypothesis evaluation. Learning theory. Online algorithms such as winnow and weighted majority. Unsupervised algorithms, dimensionality reduction, spectral methods. Graphical models.

CSCI 5527 - Deep Learning: Models, Computation, and Applications ( 3.0 cr)
Added to UNITE schedule April 7th!
UNITE section enrollment limited by department to 10 (no enrollments available as of September 6th; UNITE will keep a wait list in the event that there are cancellations from the UNITE section - to be placed on the waitlist, submit a UNITE Registration form for the course)
Ju Sun
UNITE streams live video of on-campus section on T 6:30 p.m. – 9:00 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSCI 5521 or equivalent; Maturity in linear algebra, calculus, and basic probability is assumed. Familiarity with Python is necessary to complete the homework assignments and final project.
Description:
This course introduces the basic ingredients of deep learning, describes effective models and computational principles, and samples important applications. Topics include universal approximation theorems, basics of numerical optimization, auto-differentiation, convolution neural networks, recurrent neural networks, generative neural networks, representation learning, and deep reinforcement learning.

CSCI 5541 - Natural Language Processing (3.0 cr)
Added to UNITE Schedule March 24th!
UNITE section enrollment limited by department to 10 (6 available as of September 6th)
Andrew Exley
UNITE streams live video of on-campus section on TTh 4:00 p.m.–4:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSCI 2041
Description:
Computers are poor conversationalists, despite decades of attempts to change that fact. This course will provide an overview of the computational techniques developed in the attempt to enable computers to interpret and respond appropriately to ideas expressed using natural languages (such as English or French) as opposed to formal languages (such as C++ or Python). Topics in this course will include parsing, semantic analysis, machine translation, dialogue systems, and statistical methods in speech recognition.

CSCI 5561 - Computer Vision ( 3.0 cr)
Added to UNITE schedule April 1st!
UNITE section enrollment limited by department to 10 (7 available as of September 6th)
Junaed Sattar
UNITE streams live video of on-campus section on MW 9:45 a.m. - 11:00 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSci 5511, 5521, or instructor consent.
Description:
Issues in perspective transformations, edge detection, image filtering, image segmentation, and feature tracking. Complex problems in shape recovery, stereo, active vision, autonomous navigation, shadows, and physics-based vision. Applications.

CSCI 5611 - Animation & Planning in Games (3.0 cr)
UNITE section enrollment limited by department to 10 (3 available as of September 6th)

Stephen Guy
UNITE streams live video of on-campus section on MW 4:00 p.m. - 5:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSCI 4041 or CSCI 4611 or instr consent
Description:
Theory behind algorithms used to bring virtual worlds to life. Computer animation topics. Real-time, interactive techniques used in modern games. Physically-based animation, motion planning, character animation, simulation in virtual worlds.

CSCI 5619 - Virtual Reality and 3D Interaction (3.0 cr)
Added to UNITE schedule March 24th!
UNITE section enrollment limited by department to 10 (4 available as of September 6th)
Victoria Interrante 
On-campus sections meets MW 1:00 p.m. - 2:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSCI 4611 or 5607 or 5115 or equiv or instr consent
Description:
Introduction to software, technology/applications in virtual/augmented reality, 3D user interaction. Overview of current research. Hands-on projects.

CSCI 5707 - Principles of Database Systems (3.0 cr)
UNITE section enrollment limited by department to 10 (7 available as of September 6th)

Jaideep Strivastiva
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:
[CSCI 4041 or instr consent], grad student
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 5715 - From GPS, Google Maps, and Uber to Spatial Data Science (3.0 cr)
UNITE section enrollment limited by department to 10 (6 available as of September 6th)

Shashi Shekhar
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:
Familiarity with Java, C++, or Python
Description:
Spatial databases and querying, spatial big data mining, spatial data-structures and algorithms, positioning, earth observation, cartography, and geo-visulization. Trends such as spatio-temporal, and geospatial cloud analytics, etc.

CSCI 5801 - Software Engineering I (3.0 cr)
UNITE section enrollment limited by department to 10 (6 available as of September 6th)

Added to UNITE schedule April 4th!
Kevin Wendt
UNITE streams live video of on-campus section on TTh 9:45 a.m. - 11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
2041 or instr consent
Description:
Advanced introduction to software engineering. Software life cycle, development models, software requirements analysis, software design, coding, maintenance.

CSCI 8211 - Advanced Computer Networks and Their Applications (3.0 cr)
UNITE section enrollment limited by department to 10 (5 available as of September 6th)

Zhi-Li Zhang
UNITE streams live video of on-campus section on M 6:30 p.m. - 9:00 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
5211 or instr consent
Description:
Current research issues in traffic and resource management, quality-of-service provisioning for integrated services networks (such as next-generation Internet and ATM networks) and multimedia networking.

CSCI 8735 - Advanced Database Systems (3.0 cr) 
Added to UNITE schedule 7/13/22!
UNITE section enrollment limited by department to 10 (7 available as of September 6th)
Mohamed Mokbel
UNITE streams live video of on-campus section on TTh 9:45 a.m. - 11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSCI 4707 or 5707 or 5708
Description:
Database systems for emerging applications, nontraditional query processors, multi-dimensional data indexing. Current research trends.

CSCI 8970 (also offered as DSCI 8970) - Computer Science Colloquium (1.0 cr)
UNITE section enrollment limited by department to 10 (5 available as of September 6th)

Seminars and Colloquia taken for credit are offered only as live and archived streaming video - NO downloadable video or audio podcast versions are offered.
Stephen McCamant
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

Looking for a course not listed here? Ask for it! We already offer many College of Science and Engineering courses through UNITE, but are looking for other courses that we can offer through UNITE.  Use our online Course Request Form

DATA SCIENCE

DSCI 8970 (also offered as CSCI 8970) - Data Science Colloquium (1.0 cr)
UNITE section enrollment limited by department to 10 (5 available as of September 6th)

Seminars and Colloquia taken for credit are offered only as live and archived streaming video - NO downloadable video or audio podcast versions are offered.
Stephen McCamant
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

ELECTRICAL AND COMPUTER ENGINEERING

EE 3005 - Fundamentals of Electrical Engineering (4.0 cr)
Added to UNITE schedule August 25th!
Bob Mahmoodi
UNITE streams live video of on-campus section on MTWTh 8:00 p.m.–8:50 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Math 2243, Phys 1302; not for EE majors
Description:
Fundamentals of analog electronics, digital electronics, and power systems. Circuit analysis, electronic devices and applications, digital circuits, microprocessor systems, operational amplifiers, transistor amplifiers, frequency response, magnetically coupled circuits, transformers, steady state power analysis.

EE 4363/CSCI 4203 - Computer Architecture and Machine Organization (3.0 cr)
Added to UNITE schedule September 6th!
Antonia Zhai
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:
2361; Credit will not be granted if credit has been received for: CSCI 4203, EE 5361
Description:
Introduction to computer architecture. Aspects of computer systems, such as pipelining, memory hierarchy, and input/output systems. Performance metrics. Examines each component of a complicated computer system.

EE 5163 - Semiconductor Properties and Devices I (3.0 cr)
Tony Low
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)
Jeong-Hyun Cho
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)
Maziar Hemati
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
Description:
Properties and modeling of linear systems. Linear quadratic and linear-quadratic-Gaussian regulators. Maximum principle.

EE 5241 - Optimal Control and Reinforcement Learning (3.0 cr)
Added to UNITE schedule April 19th!
Andrew Lamperski
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)
Kirsten Strandjord
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
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) 
Added to the UNITE Schedule March 4th!
Kia Bazargan
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)
Chris Kim
This course uses software that is only available to students in CSELabs due to vendor licensing - there is no off-campus software option. Students will need to come to campus to use the software.
UNITE streams live video of on-campus section on MWF 3:35 p.m. - 4:25 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 - removed from Fall schedule by department April 13th

EE 5340 - Introduction to Quantum Computing and Physical Basics of Computing (3.0 cr) 
Added to the UNITE Schedule March 4th!

Ulya Karpuzcu
UNITE streams live video of on-campus section on MW 4:00 p.m. - 5:15 p.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 5364 (also offered as CSCI 5204) - Advanced Computer Architecture (3.0 cr)
Pen-Chung Yew
UNITE streams live video of on-campus section on 
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
 [[4363 or CSci 4203], CSE grad student] or dept consent; Credit will not be granted if credit has been received for: CSCI 5204
Description:
Instruction set architecture, processor microarchitecture. Memory and I/O systems. Interactions between computer software and hardware. Methodologies of computer design.

EE 5389 - Introduction to Predictive Learning (3.0 cr)
Vladimir Cherkassky
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)
Emad Ebbini
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 5549 - Digital Signal Processing Structures for VLSI (3.0 cr) - cancelled by department July 1st

EE 5601 - Introduction to RF/Microwave Engineering (3.0 cr)
Rhonda Franklin
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 5616 - Antenna Theory and Design (3.0 cr) - cancelled by department April 19th

EE 5624 - Optical Electronics (3.0 cr) - cancelled by department August 2nd

EE 5653 - Physical Principles of Magnetic Materials (3.0 cr)
Randall Victora
UNITE streams live video of on-campus section on MWF 2:30 p.m. - 3:20 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSE grad student or dept consent
Description:
Physics of diamagnetism, paramagnetism, ferromagnetism, antiferromagnetism, ferrimagnetism. Ferromagnetic phenomena. Static/dynamic theory of micromagnetics, magneto-optics, and magnetization dynamics. Magnetic material applications.

EE 8231 - Optimization Theory (3.0 cr) - cancelled by department April 19th

EE 8660 - Magnetics Seminar (1.0 cr)
Seminars and Colloquia taken for credit are offered only as live and archived streaming video - NO downloadable video or audio podcast versions are offered.

Sarah Dohm
UNITE streams live video of on-campus section on F 1:25 p.m. - 2:15 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Description:
Current literature, individual assignments (no online seminar schedule available to share).

Looking for a course not listed here? Ask for it! We already offer many College of Science and Engineering courses through UNITE, but are looking for other courses that we can offer through UNITE.  Use our online Course Request Form

INDUSTRIAL AND SYSTEMS ENGINEERING

IE 3521 - Statistics, Quality and Reliability (4.0 cr)
William Cooper
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 5111 - Systems Engineering I (2.0 cr) 
Juliana Monson
UNITE streams live video of on-campus section on M 6:10 p.m. - 8:00 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
CSE upper div or grad student;
Description:
Overview of systems-level thinking/techniques in context of an integrated, design-oriented framework. Elements of systems engineering process, including lifecycle, concurrent, and global engineering. Framework for engineering large-scale, complex systems. How specific techniques fit into framework.

IE 5531/MATH 5711 - Engineering Optimization I (4.0 cr) 
Yiling Zhang
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)
Added to UNITE schedule August 4th!
Martin Zubeldia
UNITE streams live video of on-campus section on TTh 10:10 a.m. - 12:05 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.

MATH

MATH 5711/IE 5531 - Engineering Optimization I (4.0 cr) 
Yiling Zhang
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.

MECHANICAL ENGINEERING

ME 5332 - Intermediate Fluid Mechanics (3.0 cr) - UNITE is no longer offering this course. 
This is an on-campus course - register through OneStop as you do for on-campus (non-UNITE) course sections.  Contact ME Department for questions. (4/14)

STATISTICS

STAT 5021 - Statistical Analysis (4.0 cr)
Enrollment in STAT 5021 includes on-campus lab in section 2 of the lab sections (T 10:10 a.m. - 11:00 a.m.), live-streamed from a UNITE classroom

Kazeem Adepoju
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 5001 includes on-campus lab in section 3 of the lab sections (T 8:00 a.m. - 8:50 a.m.), live-streamed from a UNITE classroom
Qian Qin
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 8:00 a.m. - 8:50 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); Credit will not be granted if credit has been received for MATH 5651
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 3 of the lab sections (T 1:25 p.m. - 2:15 p.m.), live-streamed from a UNITE classroom

Hui Zou
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 1:25 p.m. - 2:15 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

Kazeem Adepoju
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)
Charles Geyer
UNITE streams live video of on-campus section on MWF 2:30 p.m. - 3:20 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.