CT460
Brand Experience Design Portfolio
Fall 2026
Section
601
Date & Time
Monday 3:10 pm - 6 pm, Wednesday 3:10 pm - 6 pm
Professors
Christie Shin
Classroom
D514, C315
Co-requisite(s)
CT 304 Design Systems for UX and UI
Credits/Hours
3 credits; 6 lab hours
School
School of Art & Design
Major
Advertising & Digital Design BFA
Minor
NA
Office Hours
Monday 1 to 3, Wednesday 2 to 3, Thursday 5 to 6
Office at FIT
D317 (email to schedule a remote meeting)
christie_shin@fitnyc.edu
Course Description
This course helps students develop a comprehensive portfolio demonstrating expertise in branding, UX/UI design, digital product design, and IxD. It covers creating resumes, bios, portfolio websites, and case studies to showcase problem-solving skills. Students also gain insights into the recruitment process, professional readiness, and essential soft skills such as communication and teamwork.
Student Learning Outcomes
Upon successful completion of the course, students will be able to:
Create a focused resume showcasing relevant skills for their desired career path.
Explain work concepts and procedures both verbally and in writing.
Develop a comprehensive portfolio customized for various platforms and objectives.
Establish a strong online presence through portfolio websites, LinkedIn profiles, and active participation in creative communities.
Understand the brand experience design recruitment process and be ready to market themselves effectively.
Deliverables & Evaluation
Assessment | Points |
|---|---|
Professionalism (attendance, participation, preparedness) | 20 pts |
Midterm (Grading Checkpoint 1) – Framer website (desktop & mobile): Homepage, Project 1, Project 2 | 30 pts |
Grading Checkpoint 2 (Work in Progress) – Live website (Homepage, 4 Projects, About Me, PDF Résumé) | 10 pts |
Grading Checkpoint 3 (Final) – Live website (Homepage, 4 Projects, About Me, PDF Résumé) | 30 pts |
10 Internship Applications | 10 pts |
Total | 100 pts |
Weekly Outline
* Weekly outline is subject to change according to the pedagogical needs.
Week 1A: 8/31/26
Course & Project Introduction
Course overview
Holiday schedule
Domain purchase
Framer setup
One-on-One Meeting
Semester planning
Career goals: What kind of designer do you want to become?
Homework check: Job/agency research (FigJam Career Board)
Job search strategy
Project selection
Week 1B: 9/2/26
One-on-One Meeting
Planning meeting
Homework
Homepage design
Project selection
Reminder
Communication Arts Typography Competition deadline: 9/4/26
Juan Rivera & Debbie Ortigoza
9/7/26 – Labor Day
Week 2A: 9/9/26
One-on-One Meeting
Homepage review
Career direction
Week 2B: 9/14/26
One-on-One Meeting
Project 1 wireframes (Figma)
Week 3A: 9/16/26
Class Cancellation
9/21/26 – Yom Kippur
Week 3B: 9/23/26
One-on-One Meeting
Homepage review
Project 1 design (Figma)
Week 4A: 9/28/26
One-on-One Meeting
Homepage review
Project 1 design (Figma)
Week 4B: 9/30/26
One-on-One Meeting
Homepage review
Project 1 implementation (Framer)
Week 5A: 10/5/26, Week 5B: 10/7/26, Week 6A: 10/12/26, Week 6B: 10/14/26
One-on-One Meeting
Project 2
Week 7A: 10/19/26
Lecture
Résumé & Biography
Week 7B: 10/21/26
One-on-One Meeting
Résumé & Biography
Week 8A: 10/26/26
Midterm (Grading Checkpoint 1)
Framer website up and running (desktop & mobile), including:
Homepage
Project 1
Project 2
Week 8B: 10/28/26
One-on-One Meeting
Midterm progress review
Week 9A: 11/2/26, Week 9B: 11/4/26, Week 10A: 11/9/26
One-on-One Meeting
Project 3
Week 10B: 11/11/26, Week 11A: 11/16/26, Week 11B: 11/18/26
One-on-One Meeting
AI Project
Week 12A: 11/23/26
One-on-One Meeting
Review all four projects
Week 12B: 11/25/26
One-on-One Meeting
Review all four projects
Résumé & Biography
11/26/26 – Thanksgiving Recess
Week 13A: 11/30/26
Grading Checkpoint 2 (Work in Progress)
Live website, including:
Homepage
Four projects
About Me page
PDF résumé
Week 13B: 12/2/26, Week 14A: 12/7/26, Week 14B: 12/9/26
One-on-One Meeting
Live website review
Week 15A: 12/14/26
One-on-One Meeting
Final website review
Internship status
Week 15B: 12/16/26
Grading Checkpoint 3 (Final)
Live website, including:
Homepage
Four projects
About Me page
PDF résumé
One-on-One Meeting
Final review
Creative Technology & Design (CT&D) Attendance Policy
Attendance is not optional. If you are going to miss a class, you must contact me via email ASAP. Due to the quantity of material covered in the course, I will not be able to spend class time explaining missed assignments or redo lectures. If a class is missed, it is your responsibility to get information regarding missed assignments and lectures from one of your classmates.
Students are required to attend all classes, be on time, and remain for the entire class.
Students who miss three classes for classes meeting once a week or four classes for classes meeting twice a week will receive a grade of “F.”
The student who arrives 10 minutes after the start of the class will be considered late.
Two late occurrences = one absence
A student who arrives over 30 minutes late or not returning from the break will be considered absent from the class.
Working on projects for another class or using digital devices for socializing (texting, social media…etc.) or gaming during class time will be recorded as an absence.
An excused absence is still recorded as an absence. The difference is an excused absence won’t impact your grade for professionalism and class participation.
Additional Course Information:
Grade Appeals: Include information on the grade appeal process. See Grade Appeal for more information.
Department Policy on Plagiarism
Plagiarism and other forms of academic deception are unacceptable. Each instance of plagiarism is distinct. A plagiarism violation is an automatic justification for an “F” on that assignment and/or an “F” for the course. A student found in violation of FIT’s Code of Conduct and deemed to receive an “F” for a course may not withdraw from the course prior to final grade assignments.
Use of AI tools
It is permissible to utilize AI tools in your creative process. However, you must identify which AI tool is being used at each stage of the process. You are required to fact-check AI output and avoid stereotyping and bias in your work. Finally, you are responsible for ensuring that the final creation is unique, ownable, and without any copyright issues.
Fact-checking AI output
AI tools are not infallible. They often generate incorrect or misleading information. It is your responsibility to fact-check any AI output before using it in your work. This includes checking the source of the information, evaluating the quality of the information, and considering the context in which the information was generated.
Avoiding stereotyping and bias
AI tools can be trained on data that contains stereotypes and biases. This can lead to AI output that is also biased. It is your responsibility to avoid the potential for bias in AI output. You should also be mindful of your own biases when using AI tools and take steps to mitigate them.
Ensuring the uniqueness and ownership of your work
You are responsible for ensuring that the final creation of your work is unique and ownable. This means that you must not plagiarize the work of others, including submitting works done solely by AI tools without meaningful improvement and input from you.
Penalty for violation
Violation of this policy may result in a grade reduction or suspension from the class.