Signals and Systems I

EE360 Spring 2023

Description

Professor

Lecture

Discussion

Tutoring:

• M-F 10:00-17:00 TBE-A309
• M-F 17:00-20:00 Virtual
• Sun 16:00-20:00 Virtual

Material

• AccessEngineering Library Login - McGraw-Hill

Grading

Course Organization

• This course will utilize a "flipped" classroom. Lectures (video and slides) will be provided online for asynchronous viewing while the "lecture" time will be used as extended office hours and as a problem solving session.
• Students are expected to come to lecture prepared. We will not do a traditional lecture but instead answer questions and work on problems. You should come with your problems ready to ask. Additionally, lecture reading assignments should be completed before lecture in order to be successful.
• Class attendance during the "lecture" time is required. Make sure you are reading the book and watching recorded lectures.
• Homework will be assigned weekly and will include Matlab programming problems (Computer problems).
• Students may study together in groups but all assignments must be completed individually. Copying homework is unacceptable and will result in a fail in the class with an F grade.
• Homework will be due via Webcampus (Canvas) on the designated date. No late homework will be accepted unless prior notification and arrangements are made.
• Class participation will be recorded through online "quizzes". Each participation quiz will be worth 5 points toward the final grade (despite usually having more posted points). This means you can make a few mistakes and still get full points. Use these to identify areas where you need help.
• Exams are cumulative but will emphasize new material.
• NOTE: Homework and exams will be submitted online via Webcampus. You must obtain tools to scan or make pdf images of your work.
• Instruction of computational programming language (Matlab) and its application to signals and systems takes place in EE360D.

Gradebook

Virtual Resources

• Scanning Apps: It is recommended that you use an App on your phone for ease of use with on device camera. Select an App that is able convert an image into a pdf and it is beneficial to have functionality to detect the edges, correct the orientation, and remove/cleanup background. Good Apps include: Genius Scan, CamScanner, or Office Lens [Android][Apple]
• Textbooks: AccessEngineering Library Login - McGraw-Hill
• Matlab: As a student you have access to Matlab Online after setting up a Mathworks Account linked to your UNLV email address.
• Virtual Computer Labs: Remote access to EE computer labs is provided by OIT through the Virtual Computer Labs https://www.it.unlv.edu/rebelapps. For more information read the RebelApps Introduction Guide.

Announcements

Schedule (Tentative)