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The 5 Best Engineering Homework Help Websites

Many students face the problem of finding the best engineering homework help websites. This is because they are not experts in this field and hence, they need to find a reliable source for finding answers to their problems.

The engineering homework help websites are the best way for students to get help with their homework. They can use these websites to find answers to the most difficult questions and share them with other students.

The 5 best sites to get engineering homework help:

1. Studdit - College Engineering Homework Help

Studdit is a company that offers online homework help for students. They have a large database of tutors and can provide one-to-one help through their website. You can get homework help from experts in any field of engineering, including mechanical engineering, electrical engineering, electronics engineering and civil engineering among others.

There are many benefits of using Studdit, including the ability to get homework help from anywhere in the world, access to lesson plans, and the ability to get feedback on your work.

Studdit is a great tool for students who need assistance with their engineering homework. They offer one-on-one tutoring sessions and lesson plans which can be accessed from any device at anytime.

2. Studybay - Outstanding Help for Engineering Homework

Studybay is a leading online homework help service provider. The company provides millions of students with affordable, reliable, and quality homework help for a variety of subjects including engineering and computer science.

Studybay has a team of highly qualified tutors who provide students with high-quality homework help at affordable rates. They also offer premium services for more advanced topics like data analysis, programming, and statistics .

The company offers different packages to suit the needs of students from all around the world.

3. HomeworkFor.Me - Online Engineering Assignment Solver

HomeworkFor.Me is a website that helps students with their homework. It offers the students with a wide range of topics and materials to help them learn more about engineering.

Engineering homework help from HomeworkFor.Me is a popular option among students who are struggling with their engineering assignments or projects at school or college level. The service also provides assistance in different fields like math , physics , chemistry , programming and more... to make it easier for students to perform well in their studies.The team of professional and experienced tutors at HomeworkFor.Me is available to help the students with homework, assignments, projects, tests, papers and more on a 24/7 basis. The company has been providing these services since 2018.

Can I pay someone to do my engineering homework for me?

The answer is yes, but it is not always the best idea to pay someone to do your homework for you. You should consider the following:

• How much does it cost?
• What are the benefits of doing it yourself?
• What will happen if you don't do your homework?
• Does this person have any previous experience with engineering homework?

4. Studypool - Fast & Reliable Engineering Answers

Studypool is a platform which offers a fast and reliable engineering answers. It is designed to provide engineering students with the best possible study environment.

The platform offers its users with a variety of services including chat sessions, live tutoring, and instant messaging. It is one of the most popular platforms for students to find homework help and answers.

Studypool has been designed to be a student-friendly website with an easy-to-navigate interface that allows students to easily find what they need when they need it.

Currently, it counts over 619 000 registered students from over 120 countries who have questions and 61 000 tutors who can answer them.

How much does it cost to hire an engineering homework solver?

Engineering homework solvers are the best choice for students who need help with complex problems that are too difficult for them to solve on their own.

The cost of hiring engineering homework solvers is on a case-by-case basis, but it usually ranges from $13 to $23 per hour.

5. Tutlance - Cheap Engineering Paper Writing Services

Tutlance offers an online homework help service that helps students with their engineering homework.

Tutlance is a platform that helps students learn what they need to know in engineering and prepare for the exams. It offers two types of services:

• Homework help - Tutlance's online homework help service provides assistance on topics such as Linear Algebra, Trigonometry, Calculus, etc.
• One-on-one tutoring - Tutlance also provides one-on-one tutoring services for students who have trouble understanding concepts.

This service is available 24/7 and has been designed to be helpful for all levels of students from high schoolers to college freshmen.

How do I write an engineering paper?

The process of writing an engineering paper is different from other types of academic papers. It requires a lot of research, data analysis, and methods to support your claims.

The first step in writing an engineering paper is to identify the problem you want to solve and then find a way to solve it. If you are not sure what the problem is, this can be difficult. However, by following these steps, you can figure out how to write an engineering paper that makes sense.

Each section should have a brief introduction or summary on the topic and keywords before delving into the content.

It has been estimated that the number of students who need help in completing their homework has increased by 30% over the last few years. With this increase, there are also more people who are looking for online services that can provide answers to their questions. Websites that help with homework give them the opportunity to teach themselves how to complete their homework or get help from expert tutors.

Customer Reviews

Fourth time using Studybay service and I have never been disappointed. They always deliver what they promise, 24/7 customer support, and quick turnaround on orders. I would recommend Studybay for any college engineering student without hesitation.

on October 19, 2022

Studypool.com has been my go-to resource for engineering questions. They are fast and reliable, whether it's a simple question or a complex engineering project idea. I recommend them to everyone looking for the best technical help out there!

on September 11, 2022

Studdit has done a phenomenal job for me, my professor and my peers. I have been using Studdit for about a year now and it is an indispensible resource for college students like myself. I can't imagine the workload and stress of trying to keep on top of all of those assignments without Studdit to turn to.

on June 08, 2022

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Studdit - Best Homework Helper

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• Engineering Assignment Help

Computer Engineering

Computer engineering assignment help | computer engineering homework help.

Computer Engineering is a new age subject with lots of intricacy to understand and work out. This subject is an interesting combo of computer science and electrical engineering for proper integration of computer hardware and software. Subject wise it has a broader spectrum that defines various methods to use and integrate computer parts in different other systems and machines. The subject also teaches computer engineers in building networks, transferring data, and developing computers in a way that becomes faster, compact, and more useful.

While studying computer engineering, students get to learn the designs of computer related hardware for deciphering allied technical problems. The subject deals with different complex hardware activities like microcontrollers, microprocessors, personal computers, supercomputers, circuit designing, as well as vast areas of technical expertise, like Machine intelligence, Cyber security, Networking, Embedded Systems, Design automation, Computer software, etc. Computer engineering is a combination of hardware components of computers with software programming.

Computer engineering deals with integration of computer science along with programming language for solving the real-world problems.  Besides learning the syllabus, analytical bend of mind integrating different lessons for deriving a solution and understanding methodology of system integration are the other prerequisites of solving computer engineering related projects and problems.

Computer Engineering Assignment Help

Online Computer-Engineering assignment-help service of Tutorhelpdesk.com is a global service conducted by well qualified and industry aware computer engineering tutors for procuring 100% authentic and accurate solutions for computer engineering problems and computer engineering analysis projects with higher level of difficulty. It is a time bound service: students who have hired our online service can be rest assured that none of their deadlines will be missed regardless they are short deadlines or a relaxed one. Computer engineering online tutors at Tutorhelpdesk.com offer their service even at odd hours because our computer engineering assignment help service is available 24x7. Students can contact us by sending an email or by joining the live-chat platform for discussion about their assignment before placing their order. Computer engineering online help service is available at affordable service charge, and students can avail good discount if they hire the study help service regularly.

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Computer Engineering Homework Solver

Why You Need Professional Computer Engineering Homework Solver from Us?

Engineering’s one of the most popular branch these days is computers. With technological advancement, computer engineering is gaining more popularity among students. With the increasing admission to the computer department, the demand for online tutors is also increasing. Hence, more scholars are opting for our computer engineering homework solver to remove the obstacles they face on a daily basis. However, before moving let’s check what this subject is all about and computer engineers do.

What is computer engineering?

It refers to the engineering branch which integrates computer sciences and electronic engineering. A computer engineer’s primary work is to develop as well as design different computer systems and various technological devices.

Graduating with a degree in this course is as hard as it sounds. One requires appropriate help to ace the exams and fetch great marks in his/her assignments too. Now one might ask “why students require help with their assignment? They can find answers on the internet.”

Well, that might be the case for various disciplines, but when it comes to computer engineering, every person needs assistance in specific areas.

Let’s go through why you need professional help and also computer engineering homework solver.  

• Excellent Future

Quality assignments’ submission enhances a person’s opportunity to score high grades in written examinations. Pupils require drafting homework, projects, etc. of the best quality and for that gathering data from authentic sources are vital. Moreover, maintaining adequate writing structure is also essential. Through this, a student gets excellent marks which aid in having an impeccable academic record which helps in creating an excellent future.

Hence, to always submit top-notch work and create a positive impression on professors, our professional online assistance is a must. They will help you to turn your shoddy homework into a masterpiece with a customised computer engineering homework solver .

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No doubt about the fact that one gets superb solutions when taking our professionals’ aid. However, this process helps in obtaining various details which makes a student become an expert in numerous areas. Of the subject. After receiving a well-drafted assignment and going through it, give scholars an idea about what crucial elements are required for writing a remarkable assignment.

An individual gets a better insight by reading samples from our experts.  With help from universityhomeworkhelp.com people easily overcome these obstacles and lessen the amount of pressure which every individual opted for this course faces. So always opt for computer engineering homework solver.

• Choosing the correct topic and offering essential data

Professors many times offer students the liberty to choose a topic of their own on a particular subject for their assignment. Often students get confused in such times, as in a subject many concepts, theories are there to choose from and also require a student to opt for additional research which is related to their chosen topic.

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• Answers for various queries

We have established by now that writing projects or assignments are difficult to work. Hence, when doing it, multiple questions lurk in the mind of a student. Moreover, an individual doesn’t have access to college professors 24×7 for clearing doubts, and this leaves a student hanging and makes it difficult to complete work on time.

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Electrical Engineering

Homework help & tutoring.

Our name 24HourAnswers means you can submit work 24 hours a day - it doesn't mean we can help you master what you need to know in 24 hours. If you make arrangements in advance, and if you are a very fast learner, then yes, we may be able to help you achieve your goals in 24 hours. Remember, high quality, customized help that's tailored around the needs of each individual student takes time to achieve. You deserve nothing less than the best, so give us the time we need to give you the best.

If you need assistance with old exams in order to prepare for an upcoming test, we can definitely help. We can't work with you on current exams, quizzes, or tests unless you tell us in writing that you have permission to do so. This is not usually the case, however.

We do not have monthly fees or minimum payments, and there are no hidden costs. Instead, the price is unique for every work order you submit. For tutoring and homework help, the price depends on many factors that include the length of the session, level of work difficulty, level of expertise of the tutor, and amount of time available before the deadline. You will be given a price up front and there is no obligation for you to pay. Homework library items have individual set prices.

We accept credit cards, debit cards, PayPal, Venmo, ApplePay, and GooglePay.

Electrical engineering is a broad field covering the design and applications of systems that use electricity, electronics and electromagnetism. It is the foundation of modern communications and the starting point for numerous research and industry specializations. Because it is such an essential field, electrical engineering is the foundation of many career paths, from information technology (IT) jobs to aerospace engineering. 

Studying electrical engineering in college involves rigorous science, technology, engineering and mathematics (STEM) coursework, including mechanics, physics, programmable logic and circuitry. 

24HourAnswers is here to help you tackle challenging electrical engineering concepts and homework problems. Whether you're working on math fundamentals or advanced electrical engineering principles, we have expert electrical engineering tutors available to help 24/7. 

Online Electrical Engineering Tutors

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Electrical Engineering Tutoring Sessions

Schedule a live, online tutoring session for effective one-on-one electrical engineering instruction. We use advanced whiteboard technology with video, audio and desktop sharing capabilities. You can also upload files to share documents like notes, old quizzes, review materials and any other relevant coursework. Your tutor can review them ahead of your session to see what assistance you need with your electrical engineering homework or assignment and supply any additional materials that may be helpful.

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When you get stuck on a problem or assignment, you can come to us for electrical engineering homework help. An electrical engineering tutor will review your uploaded homework documents and provide explanations and examples you can use to craft a detailed solution.

If you need help immediately, you can search our Homework Library of solved problems to find electrical engineering examples relevant to your assignment.

Electrical Engineering Topics

Our tutors specialize in numerous electrical engineering subcategories. A sampling of these topics includes:

• Computer engineering: Computer engineering integrates computer science and electronic engineering to create computer hardware and software.
• Systems engineering : Systems engineering studies how to design, manage and integrate complex engineering systems.
• Power engineering : Power engineering deals with the generation, transmission and distribution of electrical power.
• Telecommunications: Telecommunications is the transmission of information from various technologies over radio, wire, optical and other electromagnetic systems.
• Electronics: Electronics deals with the behavior and control of electronic devices. 
• Signal processing: Signal processing focuses on analyzing, synthesizing and modifying signals like sounds and images. 

Why Choose 24HourAnswers?

24HourAnswers is your go-to source for fast, reliable electrical engineering homework and assignment help. We have an elite team of electrical engineering tutors to help you with any concept or assignment. We employ experienced professionals who hold prestigious positions at top companies and academic institutions, unlike most other online tutoring services that hire only college students. Many of our electrical engineering tutors also have advanced degrees and certifications, including Ph.D.s. 

We offer fair, straightforward pricing with no hidden fees or recurring costs. You'll receive a quote based on the amount of time the tutor expects to spend on your request. There are no obligations, and you can discuss pricing with the tutor freely once you receive their quote.

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Get Electrical Engineering Homework Help Today

At 24HourAnswers, we help college students expand their electrical engineering knowledge and succeed in their courses. We receive positive feedback on our services from students every day, and we maintain an overall student satisfaction rating of 99.5%.

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To fulfill our tutoring mission of online education, our college homework help and online tutoring centers are standing by 24/7, ready to assist college students who need homework help with all aspects of electrical engineering. Our engineering tutors can help with all your projects, large or small, and we challenge you to find better online electrical engineering tutoring anywhere.

College electrical engineering homework help.

Since we have tutors in all Electrical Engineering related topics, we can provide a range of different services. Our online Electrical Engineering tutors will:

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24HourAnswers Online Electrical Engineering Tutors

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Computer science mainly deals with computer designing & its programming. It has a function in a vast region such as engineering, arts, & sciences. This stream covers both premise and practice. It includes the academic study of algorithms and their realistic application in computer hardware and software.

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For students, these days computer-related learning is the trending line of career. Computer engineering aids to unfasten a new globe of prospects and students learn to discover new software and hardware computer solutions. Writing computer engineering assignments is not easy for students.

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What is computer engineering all about.

The methods which use different computer parts to integrate with diverse other systems and machines come under computer engineering. In a way that becomes faster, this educational discipline also teaches computer engineers in developing networks, transferring information, and developing computers compact.

Some of the most intermeshed hardware activities that this educational discipline deals with are personal computers, micro-controllers, circuit designing, microprocessors, supercomputers as well as vast areas of technical expertise like networking, machine intelligence, design automation, cybersecurity, computer software, etc.

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Major areas of computer engineering.

• Microprocessors
• Mobile App Development
• Software Engineering
• Web Development

Category of Computer Engineering

There are two broad categories of computer engineering which students who are pursuing their degree program need to study. The categories are-

• Computer Hardware Engineering – The students research, plan, design the components of computers in this subdivision of computer engineering and enable them to get incorporated with other models in order to acquire the desirable device. This division involves designing from microprocessors to circuit boards and router functionalities.
• Computer Software Engineering – Students pursuing their computer engineering program learn the complete cognitive operation of software development. Beginning with assembling the requirements for delivering the product, all come under the software development life cycle. Unlike assembling the computer parts, this field altogether concentrates on coding and designing.

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As the field of computer engineering is fascinating and interesting numerous students pursuing computer science these days & also it makes humans life easier. To tackle and simplify issues arising in computer engineering assignments the experts in our group have all the abilities and familiarity to write a perfect assignment. To consider their weak points, they work in close coordination with the learners and evaluating precisely what they need. We accomplish all your coursework on time since we aim to distress the students from all their academic woes.

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Students may suppose professional guidance at reasonable prices. They also need to build applications while using C languages. Now Students having numerous problems in choosing the stream due to a lack of familiarity in particular subjects like Data Management, Computer Networks , and many more . In the affair, students need instant assistance with solving the academic papers; they can willingly get in touch with our experts through our client service team. Getting support for computer science homework assists the scholars to strengthen their proposal and have an excellent understanding and concepts.

What Problems Students Might Face?

Every scholar desire to get success in their academic life but, completing these complex assignments is not an easy task for them. They require having different practical and theoretical familiarity with this subject. Also, students are necessary to show some interest in these subjects and all of their associated topics. Many university professors assign this tough task to students to evaluate their capacity of subject perceptive.

Completing computer engineering assignments consumes a lot of time for students, and they do not have much time to waste on a single assignment as they have many other tasks to accomplish. Therefore, it is always the best option for them to hire Online Assignment Writer  who can finish their work within the deadline and at a reasonable cost. So, grab the best and excellent assignment writing services today and make yourself free from unwanted trouble.

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An entire lot of scholars need to be part-time laborers to permit expensive education. Our scholars come from a variety of disciplines. Most students require programming assignment help particularly in regards to solving their homework full of boring and tedious problems. Many scholars desire to complete them at different phases of their studies. Most of the current students have to be in a spot to compose numerous research papers and thesis along with effectively passing examinations.

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Technical Areas of Computer Engineering Assignment

• Cybersecurity-  The field of computer science that safeguards the networks, programs, computers, and data from attacks is cybersecurity.
• Design automation-  Design automation is a software tool used in the design process of electronic systems.
• Computer software-  Computer software is a set of programs that help the electronic hardware perform functions.
• Machine intelligence-  Artificial intelligence is the other name for machine intelligence. It is the intelligence exhibited by machines.
• Networking-  To set up networks and manage them in a computer environment comes under computer networking.

What do Students Learn in Computer Engineering?

If you are pursuing your degree program in computer science and want to learn many diverse things, you can come to Students Assignment Help experts to receive our service of computer engineering  Homework Help . When learners take computer engineering subjects as their majors, they have to learn about computer hardware and software. This educational discipline is related to electrical engineering and computer science.

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• Computer Science Engineering Homework Help

 Computer Science Engineering Homework Help

What is Computer Science Engineering (CSE) ? Explain in simple words .

Computer Science Engineering  is an educational program. Computer Science Engineering (CSE) is a branch of engineering that contains many topics associated to computation, computer hardware, networking, programming languages, program and software design, and merges various fields of computer science . It is one of the enthusiasm and trending stream that students can learn after completing Class 12 .

Computer Science Engineering  combines the fields of Computer Engineering and Computer Science .

Major subjects in computer science engineering :

The main subjects of computer science engineering are :

Major topics that involve in any Computer Science Engineering degree course are Operating System, Internet and its uses, Design and Analysis of Algorithm, Mobile Computing, Programming Languages like C, C++, Java, .NET, PHP, Javascript, etc, Microprocessor, Computer Software, Data Mining, Cryptography, Database Management System, Mobile Communications, Software Engineering, Data Warehouse, Network Security, and Performance Evaluation, etc.

What is the working or role of computer science engineers?

The main emphasis of computer engineers is producing, evaluating, executing, and managing computer hardware and software. They are capable to the work with elements of the software programming as well as the elements of the hardware systems smoothly.

How can we become computer science engineer?

• To get these courses you are mainly required to get your Senior Secondary Certificate of Education. This means a c andidate  must have passed the 12th class or equivalent examination from a sanctioned school or recognized board with a minimum overall of 60%. 
• To become a computer engineer you mainly have to finish an engineering degree course at university or college with a stream in electrical engineering, computer engineering, computer science, or a combined discipline. Its work mainly covers mathematics, computer architecture, and mathematical structures associated with computer hardware and software, electrical design, programming.

Computer science engineering is best :

A computer science engineering degree offers you the basic skills required to make a career in software coding or computer programming. A better understanding of the theory behind the processes elaborated in making computer programs and applications is provided by it. Information Technology (IT) is an applied or practical application of this technology.

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Computer science engineering is a better option for the future :

Future Scope of computer science engineering : It gives a profitable career option and provides a bright future. Several national and multinational computer construction firms, computer networking companies, software development firms, computer hardware system design and development companies, etc.

Computer science is the main field for future careers with the fast-changing connected world and across the world. It is also a prime factor to build our personal lives better and more fun with the help of mobile phones, online shopping, social media, etc. We learn and accept them all and many more to computer science.

Computer Science & Engineering professionals can make their careers in many sectors such as artificial intelligence, computer networking, video games, embedded systems, ethical hacking, computer graphics, wireless network, computer manufacturing, database systems, computer hardware, web applications, animation, scientific modeling, computational biology etc.

Jobs for computer science engineering :

The different job profiles are :

Software Developer or programmer, Computer Science Blogger, Computer Networking engineer, Project Manager, Web Developer, Computer Hardware Engineer, Database Administrator, Computer Systems Analyst.

Companies that hire computer science engineer:

There are many big companies that are hiring Computer Engineers. Some of these areas are following :

Tata Consultancy Services (TCS), Microsoft, Infosys, Wipro, HCL Technologies, Tech Mahindra, IBM Accenture, Igate, Amazon, Mphasis etc.

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• MyU : For Students, Faculty, and Staff

UNITE Fall 2024 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 April 2nd, 2024)

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 5321 (also offered as EE 5231) - Linear Systems and Optimal Control (3.0 cr)   Instructor TBA 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)   Demoz Gerbe-Egziabher 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)  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 5401 - Advanced Biomedical Imaging (3.0 cr)   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 5910 - Special Topics in Biomedical Engineering: Biomedical Science Data (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 student, upper div or grad  Description:   Description coming from department.

BMEN 8001 - Polymeric Biomaterials (3.0 cr)   Chun Wang 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:   [5001, [CHEN 4214 or MATS 4214 or equiv]] or instr consent Description:   Introduction to polymeric biomaterial research. Molecular engineering, characterization of properties, material-cell interaction, biocompatibility/bioactivity. Applications in biology and medicine.

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 2024 AFTER AUGUST 1ST, 2024.

COMPUTER SCIENCE AND ENGINEERING

CSCI 5106 - Programming Languages (3.0)  UNITE section enrollment limited by department to 10 (8 graduate and 2 undergraduate) Instructor TBA 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:   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 (8 graduate and 2 undergraduate) Instructor TBA 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 5421 - Advanced Algorithms and Data Structures (3.0 cr)   UNITE section enrollment limited by department to 10 (8 graduate and 2 undergraduate) Instructor TBA 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 (8 graduate and 2 undergraduate) Instructor TBA 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.

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 2024 AFTER AUGUST 1ST, 2024.

CSCI 5481 - Computational Techniques for Genomics (3.0 cr)   UNITE section enrollment limited by department to 10 (8 graduate and 2 undergraduate) Instructor TBA 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 5525 - Machine Learning (3.0 cr)   UNITE section enrollment limited by department to 10 (8 graduate and 2 undergraduate) Instructor TBA 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:   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 5541 - Natural Language Processing (3.0 cr)    UNITE section enrollment limited by department to 10 (8 graduate and 2 undergraduate) Instructor TBA 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 5707 - Principles of Database Systems (3.0 cr)   UNITE section enrollment limited by department to 10 (8 graduate and 2 undergraduate) Instructor TBA 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 8115 - Human-Computer Interaction and User Interface Technology (3.0 cr)  - UNITE section cancelled by department 4/11/24

CSCI 8523 - AI for Earth: Monitoring Changes in the Environment via Deep Learning (3.0) UNITE section enrollment limited by department to 10  Vipin Kumar 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:   CSci 5523, CSci 5521, or equivalent Description:   Advances in machine learning in conjunction with massive amounts of data from Earth observing satellites offer huge potential for improving our understanding of how the Earth's environment and ecosystems have been changing and how they are being impacted by humans actions and changing climate. Deep learning approaches, that have had phenomenal success in the domain of computer vision and language/speech translation, hold promise in dealing with environmental problems. However, due to challenges that are unique to environmental applications, off-the-shelf deep learning techniques developed for related applications such as computer vision often have limited utility. This class will introduce to the students the promise and challenges in using deep learning techniques to analyze complex, multi-scale, spatio-temporal data for monitoring changes in the Earth and its environment on a global scale.

CSCI 8970 (also offered as DSCI 8970) - Computer Science Colloquium (1.0 cr)   UNITE section enrollment limited by department to 10  Seminars and Colloquia taken for credit are offered only as live and archived streaming video - NO downloadable video or audio podcast versions are offered.   Instructor TBA UNITE streams live video of on-campus section on M 11:15 a.m. - 12:15 p.m.  Archived videos typically available to UNITE-enrolled students within an hour  Description:   Recent developments in computer science and related disciplines. Students must attend 13 of the 15 lectures.  For the entire schedule, see the Computer Science & Engineering Colloquia Series Web Site

DATA SCIENCE

DSCI 8970 (also offered as CSCI 8970) - Data Science Colloquium (1.0 cr)   UNITE section enrollment limited by department to 10 Instructor TBA UNITE streams live video of on-campus section on M 11:15 a.m. - 12:15 p.m.  Archived videos typically available to UNITE-enrolled students within an hour  Description:   Recent developments in computer science and related disciplines. Students must attend 13 of the 15 lectures.  For the entire schedule, see the Computer Science & Engineering Colloquia Series Web Site

ELECTRICAL AND COMPUTER ENGINEERING

EE 4389W (also offered as 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:   [3025, ECE student] or STAT 3022; computer programming or MATLAB or similar environment is recommended for ECE students 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 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 5181 - Micro and Nanotechnology by Self Assembly (3.0 cr)  - course cancelled by department 4/10/24

EE 5231 (also offered as AEM 5321) - Linear Systems and Optimal Control (3.0 cr)   Instructor TBA 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)  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)   Demoz Gerbe-Egziabher 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)   Instructor TBA 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:   [[5323 or concurrent registration is required (or allowed) in 5323], CSE grad student] or dept consent   Description:   Programmable architectures for signal/media processing. Data-flow representation. Architecture transformations. Low-power design. Architectures for two's complement/redundant representation, carry-save, and canonic signed digit. Scheduling/allocation for high-level synthesis.

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) - course cancelled by department 4/10/24

EE 5364 (also offered as CSCI 5204) - Advanced Computer Architecture (3.0 cr)   UNITE section enrollment limited by department to 10  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:    [[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 (also offered as EE 4389W) - 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)   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)  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)  -  course cancelled by department 4/10/24

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) -   course cancelled by department 4/10/24

EE 5940 - Special Topics in Electrical Engineering I (3.0) -  course cancelled by department 4/10/24

EE 8351 - Design Automation Techniques for Variation-Aware Computer (3.0 cr)   Instructor TBA 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   Instructor TBA 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 3521 - Statistics, Quality and Reliability (4.0 cr)   Instructor TBA 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 5511 - Human Factors and Work Analysis (4.0 cr)    Instructor TBA  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:   Upper div CSE or grad student; Credit will not be granted if credit has been received for: HUMF 5211, IE 4511 or ME 5211 Description:   Human factors engineering (ergonomics), methods engineering, and work measurement. Human-machine interface: displays, controls, instrument layout, and supervisory control. Anthropometry, work physiology and biomechanics. Work environmental factors: noise, illumination, toxicology. Methods engineering, including operations analysis, motion study, and time standards.

IE 5531 - Engineering Optimization I (4.0 cr)    Instructor TBA  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)   Instructor TBA 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 8521 - Optimization (4.0 cr)   Instructor TBA UNITE streams live video of on-campus section on TTh 1:25 p.m. - 3:20 p.m.  Archived videos typically available to UNITE-enrolled students within an hour  Prerequisites:   Familiarity with linear algebra and calculus. Description: Theory and applications of linear and nonlinear optimization. Linear optimization: simplex method, convex analysis, interior point method, duality theory. Nonlinear optimization: interior point methods and first-order methods, convergence and complexity analysis. Applications in engineering, economics, and business problems.

IE 8564 - Optimization for Machine Learning (4.0 cr)   Instructor TBA UNITE streams live video of on-campus section on M 2:45 p.m. - 6:05 p.m.  Archived videos typically available to UNITE-enrolled students within an hour  Prerequisites:   Graduate Student Description: Machine learning has been widely used in many areas such as computer vision, search engines, speech recognition, robotics, recommender systems, bioinformatics, social networks, and finance. It has become an important tool in prediction and data analysis. This course provides a comprehensive overview of important optimization models for machine learning. It also systematically provides a theoretical and computational study on various optimization methods for solving these models and more general problems.

MECHANICAL ENGINEERING

ME 5312 -  Solar Thermal Technologies(3.0) Natasha Wright UNITE streams live video of on-campus section on MW 10:10 p.m.–12:05 a.m.  Archived videos typically available to UNITE-enrolled students within an hour  Prerequisites:   [3333, CSE upper Div] or grad student Description:   Solar radiation fundamentals. Measurement/processing needed to predict solar irradiance dependence on time, location, and orientation. Characteristics of components in solar thermal systems: collectors, heat exchangers, thermal storage. System performance, low-temperature applications. Concentrating solar energy, including solar thermo-chemical processes, to produce hydrogen/solar power systems and photovoltaics. Solar design project.

ME 8446 - Advanced Combustion (3.0) Sayan Biswas UNITE streams live video of on-campus section on TTh 11:15 a.m.–12:05 p.m.  Archived videos typically available to UNITE-enrolled students within an hour  Prerequisites:   Undergrad courses in thermodynamics, fluid mechanics, heat transfer, IT grad student; 5446 or 8641 highly recommended Description:   Fundamental understanding of linkage between thermodynamics, chemical kinetics, and transport phenomena in combustion systems. Heat release rate, flame stability, and emissions. How those issues arise in furnaces, internal combustion engines, and rockets.  

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   Instructor TBA UNITE streams live video of on-campus lecture section on MWF 10:10 a.m. - 11:00 a.m.  UNITE streams live video of on-campus lab section on T 10:10 a.m. - 11:00 a.m.  Archived videos typically available to UNITE-enrolled students within an hour  Prerequisites:   college algebra or instr consent; credit will not be granted if credit has been received for STAT 3011  Description:   Intensive introduction to statistical methods for graduate students needing statistics as a research technique.

STAT 5102 - Theory of Statistics II (4.0 cr)   Enrollment in STAT 5101 includes on-campus lab in section 2 of the lab sections (T 2:30 p.m. - 3:20 p.m.), live-streamed from a UNITE classroom   Instructor TBA UNITE streams live video of on-campus lecture section on MWF 2:30 p.m. - 3:20 p.m.  UNITE streams live video of on-campus lab section on T 2:30 p.m. - 3:20 p.m.  Archived videos typically available to UNITE-enrolled students within an hour  Prerequisites:   5101 or Math 5651  Description:   Sampling, sufficiency, estimation, test of hypotheses, size/power. Categorical data. Contingency tables. Linear models. Decision theory.

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

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

STAT 5511 - Time Series Analysis (3.0 cr)   Instructor TBA 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 4102 or STAT 5102 Description:   Characteristics of time series. Stationarity. Second-order descriptions, time-domain representation, ARIMA/GARCH models. Frequency domain representation. Univariate/multivariate time series analysis. Periodograms, non parametric spectral estimation. State-space models.

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