UNITE Fall 2023 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, "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. 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.

FALL SCHEDULE

(Updated September 6th, 2023)

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 4301 - Orbital Mechanics (3.0 cr)
Kirsten Strandjord
UNITE streams live video of on-campus section on MWF 9:05 a.m. - 9:55 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
[2012 or equiv], [MATH 2373 or equiv], [CSE upper div or grad student]
Description:
The two-body problem. Earth-satellite operations, rocket performance, reentry dynamics, space environments, interplanetary trajectories. Numerical simulations. Design project.

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.

BIOMEDICAL ENGINEERING

BMEN 5001 - Advanced Biomaterials (3.0) - Added to UNITE schedule 7/25/23
Wei Shen
UNITE streams live video of on-campus section on TTh 11:00 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)
Patrick Alford
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:
[[3001 or equiv], [CSE upper div or grad student]] or instr consent
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 5351 - Cell Engineering (3.0 cr)
David Odde
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:
[2401, [2501 or concurrent registration is required (or allowed) in 5501], [MATH 2243 or MATH 2373]] or CSE upper div or grad student or instr consent
Description:
Engineering approaches to cell-related phenomena important to cell/tissue engineering. Receptor/ligand binding. Trafficking/signaling processes. Applications to cell proliferation, adhesion, and motility. Cell-matrix interactions.

BMEN 5411 - Neural Engineering (3.0 cr)
Seth Keonig
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 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.

NOTE: UNITE WILL NOT TAKE REQUESTS FOR ADDITIONAL COURSES FOR FALL 2023 AFTER AUGUST 1ST, 2023.

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 10 (no spots available as of September 6th - submit a UNITE Registration Form to be placed on the UNITE Wait List)
A required weekly online lab section will be held via Zoom for CSCI 3003 students taking the course through UNITE. The course TA will be available for students' questions during this lab section. The time/day of this section will be scheduled after the start of the semester and will be based on input from students about their availability.
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 3081W - Program Design and Development (4.0) - Added to UNITE schedule 5/23/23
UNITE section enrollment limited by department to 10 (3 available as of September 6th)
Enrollment in 3081W requires enrolling in an on-campus lab in one of the lab sections - however, UNITE-enrolled students will attend these weekly lab sesions via live Zoom meetings (no recordings).
When enrolling through UNITE in 3081W, list which lab you would like to have on the UNITE registration form (section 02 is F 8:00 a.m. - 8:50 a.m., section 03 is F 9:05 a.m. - 9:55 a.m.section, 04 is F 10:10 p.m. - 11:00 a.m.). Note that unless you are swapping from an existing enrollment in an on-campus lab section that there must be existing space in a lab for UNITE to enroll you (if already in an on-campus lab, do NOT drop - let UNITE swap your enrollment)
Shonal Gangopadhyay
UNITE streams live video of on-campus section on TTh 9:45 p.m.–11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
[2021, 2041]; CS upper div, CS grad, or dept. permission
Description:
Principles of programming design/analysis. Concepts in software development. Uses a programming project to illustrate key ideas in program design/development, data structures, debugging, files, I/O, testing, and coding standards.

CSCI 5103 - Operating Systems (3.0 cr)
UNITE section enrollment limited by department to 10 (4 available as of September 6th)
Jon Weissman
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) - Added to UNITE schedule 3/20/23
UNITE section enrollment limited by department to 10 (4 available as of September 6th)
Erik Van Wyk
UNITE streams live video of on-campus section on MW 9:45 p.m.–11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
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)
Antonia Zhai
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:
4203 or EE 4363; Credit will not be granted if credit has been received forEE 5364
Description:
Instruction set architecture, processor microarchitecture, memory, I/O systems. Interactions between computer software and hardware. Methodologies of computer design.

CSCI 5271 - Introduction to Computer Security (3.0 cr)
UNITE section enrollment limited by department to 10 (4 available as of September 6th)
Kangjie Lu
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:
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:
2031 or 2033 or instr consent
Description:
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.

CSCI 5421 - Advanced Algorithms and Data Structures (3.0 cr)
UNITE section enrollment limited by department to 10 (8 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 (4 available as of September 6th)
George Karypis
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:
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.

CSCI 5465 (also offered as CSCI 3003) - Introduction to Computing for Biologists (3.0)
UNITE section enrollment limited by department to 10 (no spots available as of September 6th - submit a UNITE Registration Form to be placed on the UNITE Wait List)
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 (no spots available as of September 6th - submit a UNITE Registration Form to be placed on the UNITE Wait List)
Dan Knights
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 5511 - Artificial Intelligence I (3.0 cr)
UNITE section enrollment limited by department to 10 (3 available as of September 6th)
Andrew Exley
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:
[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 5521 - Machine Learning Fundementals (3.0 cr)
UNITE section enrollment limited by department to 10 (5 available as of September 6th)
Rui Kuang
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:
[2031 or 2033], STAT 3021, and knowledge of partial derivatives
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 5523 - Introduction to Data Mining (3.0 cr)
UNITE section enrollment limited by department to 10 (1 available as of September 6th)
Michael Steinbach
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:
4041 or equiv or instr consent
Description:
Data pre-processing techniques, data types, similarity measures, data visualization/exploration. Predictive models (e.g., decision trees, SVM, Bayes, K-nearest neighbors, bagging, boosting). Model evaluation techniques, Clustering (hierarchical, partitional, density-based), association analysis, anomaly detection. Case studies from areas such as earth science, the Web, network intrusion, and genomics. Hands-on projects.

CSCI 5525 - Machine Learning (3.0 cr)
UNITE section enrollment limited by department to 10 (5 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)
UNITE section enrollment limited by department to 10 (no spots available as of September 6th - submit a UNITE Registration Form to be placed on the UNITE Wait List)
Ju Sun
UNITE streams live video of on-campus section on W 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)
UNITE section enrollment limited by department to 10 (1 available as of September 6th)
Dongyeop Kang
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:
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)
UNITE section enrollment limited by department to 10 (5 available as of September 6th)
Volkan Isler
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:
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 5607 - Fundamentals of Computer Graphics (3.0 cr)
UNITE section enrollment limited by department to 10 (8 available as of September 6th)
Victoria Interrante
UNITE streams live video of on-campus section on MW 1:25 p.m. - 3:45 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Concurrent registration is required (or allowed) in 2033, concurrent registration is required (or allowed) in 3081
Description:
Fundamental algorithms in computer graphics. Emphasizes programming projects in C/C++. Scan conversion, hidden surface removal, geometrical transformations, projection, illumination/shading, parametric cubic curves, texture mapping, antialising, ray tracing. Developing graphics software, graphics research.

CSCI 5611 - Animation & Planning in Games (3.0 cr)
UNITE section enrollment limited by department to 10 (no spots available as of September 6th - submit a UNITE Registration Form to be placed on the UNITE Wait List)
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 5707 - Principles of Database Systems (3.0 cr)
UNITE section enrollment limited by department to 10 (no spots available as of September 6th - submit a UNITE Registration Form to be placed on the UNITE Wait List)
Jaideep Srivastiva
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 5715 - From GPS, Google Maps, and Uber to Spatial Data Science (3.0 cr)
UNITE section enrollment limited by department to 10 (8 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 (3 available as of September 6th)
Kevin Wendt
UNITE streams live video of on-campus section on T 6:30 p.m. - 9:30 p.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 (6 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:
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 8551 - Intelligent Agents (3.0) - Added to UNITE schedule 3/31/23
UNITE section enrollment limited by department to 10 (1 available as of September 6th)
Maria Gini
UNITE streams live video of on-campus section on MW 2:30 p.m.–3:45 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
5511 or instr consent
Description:
Theories of intelligent agents. Agent architectures; knowledge representation, communication, cooperation, and negotiation among multiple agents; planning and learning; issues in designing agents with a physical body; dealing with sensors and actuators; world modeling.

CSCI 8970 (also offered as DSCI 8970) - Computer Science Colloquium (1.0 cr)
UNITE section enrollment limited by department to 10 (no spots available as of September 6th - submit a UNITE Registration Form to be placed on the UNITE Wait List)
Seminars and Colloquia taken for credit are offered only as live and archived streaming video - NO downloadable video or audio podcast versions are offered.
Junaed Sattar
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

DSCI 8970 (also offered as CSCI 8970) - Data Science Colloquium (1.0 cr)
UNITE section enrollment limited by department to 10 (no spots available as of September 6th - submit a UNITE Registration Form to be placed on the UNITE Wait List)
Seminars and Colloquia taken for credit are offered only as live and archived streaming video - NO downloadable video or audio podcast versions are offered.
Junaed Sattar
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 4541 - Digital Signal Processing (3.0 cr)
Georgios Giannakis
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:
[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.

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)
Steven Koester
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 5239 - Introduction to Nonlinear Optimization (3.0) - Added to UNITE schedule 6/26/23
Mingyi Hong
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
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)
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)
Gerald Sobelman
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 5329 - VLSI Digital Signal Processing Systems (3.0 cr)~~ - cancelled by department 8/9/23

EE 5333 - Analog Integrated Circuit Design
Ramesh Harjani
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
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
On-campus sections meets MW 1:25 p.m. - 2:40 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 5364 (also offered as CSCI 5204) - Advanced Computer Architecture (3.0 cr)
UNITE section enrollment limited by department to 10 (10 available as of August 14th)
Antonia Zhai
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:
[[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 5531 - Probability and Stochastic Processes (3.0 cr)
Soheil Mohajer
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) - Added to UNITE schedule 4/6/23
Mehmet Akcakaya
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
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 5624 - Optical Electronics (4.0 cr)
James Leger
UNITE streams live video of on-campus section on TTh 2:30 p.m. - 4:10 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
[[3601 or Phys 3002], CSE grad student] or dept consent
Description:
Fundamentals of lasers, including propagation of Gaussian beams, optical resonators, and theory of laser oscillation. Polarization optics, electro-optic, acousto-optic modulation, nonlinear optics, phase conjugation.

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 5811 - Biological Instrumentation (3.0) - Added to UNITE schedule 4/6/23
Sang-Hyun Oh
UNITE streams live video of on-campus section on TTh 11:15 p.m. - 12:30 p.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 8351 - Design Automation Techniques for Variation-Aware Computer (3.0 cr)
Sachin Sapatnekar
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. Some background in VLSI design and/or design automation is suggested but not required. Such prior exposure will make the experience in the class much more meaningful.
Description:
High-performance chip design can only be performed with the assistance of design automation tools that comprehend the needs of the designer and deliver solutions that can correctly analyze and optimize these systems. The objective of this class is to provide a view of this emerging universe and acquaint students with new research in this area. Specific topics to be covered include 1) Overview of technology trends and emerging systems 2) Variation-aware design and 3) Design automation issues.

EE 8591 - Predictive Learning from Data
Vladimir Cherkassky
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:
CSE grad student or instr consent
Description:
Methods for estimating dependencies from data have been traditionally explored in such diverse fields as: statistics (multivariate regression and classification), engineering (pattern recognition, system identification), computer science (artificial intelligence, machine learning, data mining) and bioinformatics. Recent interest in learning methods is triggered by the widespread use of digital technology and availability of data. Unfortunately, developments in each field are seldom related to other fields. This course is concerned with estimation of predictive data-analytic models that are estimated using past data, but are used for prediction or decision making with new data. This course will first present general conceptual framework for learning predictive models from data, using Vapnik-Chervonenkis (VC) theoretical framework, and then discuss various methods developed in statistics, pattern recognition and machine learning. Course descriptions will emphasize methodological aspects of machine learning, rather than development of new algorithms.

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.
Beth Stadler
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).

INDUSTRIAL AND SYSTEMS ENGINEERING

IE 3011 - Optimization Models and Methods (4.0 cr)
Jean Philipe Richard
UNITE streams live video of on-campus section on MW 10:10 a.m. - 12:05 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
MATH 2374, MATH 2142, or equivalent, Upper Division CSE
Description:
Linear, nonlinear, integer, and network optimization models and their tractability; Sensitivity analysis; Solution with software; Introduction to solution methods; Simplex method and Dijkstra’s algorithm.

IE 3521 - Statistics, Quality and Reliability (4.0 cr)
Krishnamurthy Iyer
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)
Kathryn Wust
UNITE-enrolled students - Synchronous attendance is REQUIRED by the instructor
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 (also offered as 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)
Martín Zubeldía
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.

IE 5541 - Project Management (4.00 cr)
Jean-Philippe Richard
UNITE streams live video of on-campus section on T 6:10 p.m. - 9:30 p.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Upper div or grad student: Credit will not be granted if credit has been received for: IE 4541W
Description:
Introduction to engineering project management. Analytical methods of selecting, organizing, budgeting, scheduling, and controlling projects, including risk management, team leadership, and program management.

IE 5553 - Simulation (4.0 cr)
Saumya Sinha
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.

IE 5571 (also offered as IE 8571) - Reinforcement Learning and Dynamic Programming (4.0 cr)
Kevin Leder
UNITE streams live video of on-campus section on MW 9:05 a.m. - 11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Knowledge of probability, optimization, and linear algebra at the undergraduate level; Credit will not be granted if credit has been received for IE 8571
Description:
Topics are methods for solving problems in sequential decision making. We will introduce the modeling framework of Markov Decision Processes (MDP), and the classic solution approach of dynamic programming. We will discuss the traditional solution approaches to dynamic programming of value and policy iteration. We will then move onto model free methods of finding optimal policies for MDPs such as Monte Carlo and Temporal Difference methods. We will discuss the extension of these methods to problems with large state spaces where it is necessary to introduce parametric approximations such as deep neural networks. Examples will be drawn from problems in navigation, medicine, game play, and others.

IE 8571 (also offered as 5571) - Advanced Reinforcement Learning and Dynamic Programming (4.0 cr)
Kevin Leder
UNITE streams live video of on-campus section on MW 9:05 a.m. - 11:00 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Knowledge of probability, optimization, and linear algebra at the undergraduate level; Credit will not be granted if credit has been received for IE 5571
Description:Topics are methods for solving problems in sequential decision making. We will introduce the modeling framework of Markov Decision Processes (MDP), and the classic solution approach of dynamic programming. We will discuss the traditional solution approaches to dynamic programming of value and policy iteration. We will then move onto model free methods of finding optimal policies for MDPs such as Monte Carlo and Temporal Difference methods. We will discuss the extension of these methods to problems with large state spaces where it is necessary to introduce parametric approximations such as deep neural networks. Examples will be drawn from problems in navigation, medicine, game play, and others. We will discuss the convergence proofs for a variety of the algorithms in the so-called 'tabular setting', e.g., policy iteration, value iteration, Q-learning, and Sarsa.

MATH

MATH 5711 (also offered as 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 8341 - Conduction (3.0) - Added to UNITE schedule 4/26/23
Jeff Tithof
UNITE streams live video of on-campus section on TTh 9:00 p.m.–10:30 a.m.
Archived videos typically available to UNITE-enrolled students within an hour
Prerequisites:
Undergrad class in heat transfer or instr consent
Description:
Advanced understanding/application of conduction/diffusion to heat/mass transfer problems. Solving ordinary/partial differential equations related to physics of diffusion. Special topics in numerical microscale heat transfer.

STATISTICS

STAT 3021 - Introduction to Probability and Statistics (3.0) - Added to UNITE schedule 7/14/23
Kazeem Adepoju
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:
Math 1272
Description:
This is an introductory course in statistics whose primary objectives are to teach students the theory of elementary probability theory and an introduction to the elements of statistical inference, including testing, estimation, and confidence statements.

STAT 5021 - Statistical Analysis (4.0 cr)
Enrollment in STAT 5021 includes on-campus lab in section 3 of the lab sections (T 10:10 a.m. - 11:00 a.m.), live-streamed from a UNITE classroom
Lu Yang
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 2 of the lab sections (T 9:00 a.m. - 9:50 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 9:05 a.m. - 9:50 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 2 of the lab sections (T 2:30 p.m. - 3:20 p.m.), live-streamed from a UNITE classroom
Xiaoou Li
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
Barbara Kuzmak
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.