• Week 5: Logo Draft 1 Group Critiques
• Week 6: Logo Draft 2 Individual Critiques
• Week 7: Logo Final (Midterm)
• Week 10: Conference Poster Draft 1
• Week 11: Conference Poster Draft 2
• Week 14: Mobile Website Draft 2
• Week 15: Final Conference Design System Presentations

POLICIES

ATTENDANCE POLICY

Synchronous Attendance

• Be on time for the start of class. We will start promptly at the scheduled class time.
• Zoom will take an attendance snapshot automatically at the beginning of class: if you are late your attendance grade drops to 50% for that class session: therefore it is important to be on time!
• I will join the Zoom room 5 minutes before the scheduled start of class, so that you can chat, ask questions, join a few minutes early, as we would do IRL. I recommend you join a few minutes before our scheduled class start time.
• It is your responsibility to be in a quiet location where you can focus, concentrate on class, and participate both verbally and in the chat.
• You are permitted one absence that does not impact your attendance grade, beyond that absences will be deducted from your attendance grade. See below for limited asynchronous attendance.
• You must join zoom from a laptop, not a tablet or mobile device.

Limited Asynchronous Attendance

• All classes are recorded on Zoom and accessible shortly (usually within an hour) after class once they process in the Zoom cloud. 
• For Excused Absences: Students may request special accommodations for an absence to be excused in the following cases:
• Medical reasons
• Death in immediate family
• Personal qualified emergencies
• Religious Expression or Practice
• If illness or an accident causes you to miss a class (or classes) or an exam, you should do the following:
  Notify the Office of Student Advocacy by filling out this Google form in its entirety.
  Students should not provide anyone except the Office of Student Advocacy with a copy of medical documentation. It is important for instructors to know when you are experiencing an issue that might interfere with your studies. However, it is also important that your personal matters be kept confidential.
  
• More Information can be found on the Tandon Office of Student Advocacy site
  
• For Unexcused Absences: you may make up the missed class session and get attendance credit by watching the recording, completing in-class work, and submitting a ticket to leave, once you have watched the recording. This must be done at least 24 hours before the following class
• (This is intentionally rephrased and repeated!) After attending a class session asynchronously, write your ticket to leave to me, which will count as your attendance and participation for that class. This must be done 24 hours before the following class to receive full attendance credit.
• You are allowed 2 asynchronous class sessions per semester: beyond 2 asynchronous attendances, asynchronous sessions are only permitted for excused absences.
• If you are absent for a class session, the assignments due for that session must still be completed on time, by the following class meeting time, otherwise they will be considered late.
• Deadlines for reading responses, project reviews, and presentations will still be used, unless a reasonable extension is mutually agreed upon, at least 24 hours before the due date only.
• Assignments such as Exercises and Reading Responses may still be submitted late, and will receive half credit.
• Asynchronous participation does mean doing the classwork at an undefined time of your choosing and convenience.
• Asynchronous participation does not mean procrastinating watching/following along with class and watching multiple classes in a row before a project.
• Synchronous attendance is mandatory for the midterm and final presentations. Absences during midterm and finals week cannot be made up asynchronously.
• If you are absent for more than 2 consecutive classes, I will check in to make sure you are alright. Failure to respond to this may result in a flag of concern being raised in NYU Connect.

• Watch recording + complete classwork + submit Ticket to Leave via Google Form at least 24 hours before the following class
• Assignments still due on original timeline

REQUIRED SOFTWARE & RESOURCES

Adobe Creative Cloud Student Subscription

• Adobe Illustrator (vector graphics, logo design)
• Adobe Photoshop (raster graphics, image editing)
• Adobe InDesign (layout, publication design)
• Adobe After Effects (motion graphics)

Required Book

• Lupton, Ellen: Graphic Design: The New Basics
• Available digitally via NYU Libraries at: https://ebookcentral.proquest.com/lib/nyulibrary-ebooks/detail.action?docID=4518455

STUDENT RESPONSIBILITIES

• Schedule your time (maintain a calendar of some sort)
• Come to class on time and participate (be present and engaged)
• Study outside of class: devote minimum 6 hours weekly outside class for assignments and concept development
• Complete all assignments by due dates
• Read assigned materials before class and prepare annotations
• Embrace systematic design methodology through iterative practice
• Take creative risks while maintaining attention to craft and detail
• Talk to me directly about issues and problems. Do not email long conversations. If your email turns into a paragraph or two that means we should schedule a meeting to talk one-on-one, rather than emailing me.
• Have desire amounting to enthusiasm (to learn, to explore)
• Have patience, persistence, and discipline
• Be creative
  
• Pay attention to detail & craft
  
• Have self-confidence and pride in your work
  
• Take risks & be fearless in your projects
  
• Have fun!
  

TICKETS TO LEAVE

1. One specific insight from today's class that you found interesting, important, or newly learned.
2. One question or confusion about today's content that you want clarified or want to explore further.

ACADEMIC HONESTY/PLAGIARISM

• Cheating: intentionally using or attempting to use unauthorized notes, books, electronic media, or electronic communications in an exam; talking with fellow students or looking at another person's work during an exam; submitting work prepared in advance for an in-class examination; having someone take an exam for you or taking an exam for someone else; violating other rules governing the administration of examinations.
• Fabrication: including but not limited to, falsifying experimental data and/or citations.
• Plagiarism: intentionally or knowingly representing the words or ideas of another as one's own in any academic exercise; failure to attribute direct quotations, paraphrases, or borrowed facts or information.
• Unauthorized collaboration: working together on work that was meant to be done individually.
• Duplicating work: presenting for grading the same work for more than one project or in more than one class, unless express and prior permission has been received from the course instructor(s) or research adviser involved.
• Forgery: altering any academic document, including, but not limited to, academic records, admissions materials, or medical excuses.

GENERATIVE TOOL USE IN THIS CLASS

Document Your Process And Use Of Generative AI When Completing Assignments Using Generative AI

• Save copies of each step in a spreadsheet to create a record that can be shared with your instructors to facilitate conversations about your work. For example, keep copies of your previous drafts before and after interacting with generative AI.
• Ensure that your final work is your own and is not simply copied and pasted from a generative AI tool
• Your own style and voice should be evident.
• Simply rephrasing AI-generated content is not enough for it to be considered your own work! You must still apply your own critical and creative thinking to ensure learning.
• Foreground intellectual virtues and beware of cognitive biases from the Open Inquiry Toolkit.

Fact-check and Cross-Verify Any Information You Use From Generative AI

• Note the limitations of generative AI, most notably that content generated by AI may be biased, made up, inaccurate, not up to date, etc.
• Apply critical thinking at all times! It is important to fact-check and cross-verify any information generative AI gives you.
• Using generative AI is not the same as using a search engine.

Think for yourself

• Form your own perspectives and points of view. Do not rely solely on information generated by generative AI tools.

• The ease of producing material can lead to automation bias, where the simplicity of generating unlimited amounts of output weakens students' critical faculties, making it harder to notice that any given example of output is low quality.
• AI output is opaque. There is no way for a student (or anyone) to know how an answer was constructed or how a change to a prompt will change the answer. There is also no way to produce the same answer in the future, even with an identical prompt. This opacity can limit students' comprehension of the output.
• AI tools are not authoritative sources. While their output should be acknowledged, they should never be cited as evidence. No matter what tools are used, the student is ultimately responsible for the correctness of the output.

ACADEMIC ACCOMMODATIONS

STATEMENT ON INCLUSION

RESOURCES FOR NON-CITIZEN STUDENTS

Course Detail: