Introduction
INFO 153A/253A: Front End Web Architecture
Teacher and TA Introductions
Course Goals
- Demystify "the front end" (whatever that means)
- Understand how to build interactive user interfaces
- Respect and understand the challenges of building these user interfaces
Course Layout
- INFO 153A - Undergraduates
- INFO 253A - Graduates
- Both courses have the same lecture and lab time as well as learn the same material
- Course work differs for each class
Course Layout - Schedule
- Monday (lecture) 9:00 am - 11:00 am PDT (in-person)
- Friday (lab) 9 am - 10 am PDT (in-person)
- All lectures will be recorded for future viewing, but no remote join allowed
- Lectures: One hour lecture, followed by 1 hour in-person project
- Lab: Time to start lab + answer questions
Setup Checklist
- Fill out survey form before Friday's class
- Find our website for syllabus, assignments, and schedule of class
- Send your github username through the form so we can add you to our github organization
- Set up your coding environment
Course Work
- Non graded in person assignment
- 2 major homework assignments building a web application
- Assignment 1: Task Manager UI (HTML/CSS)
- Assignment 2: React Task Manager (convert Assignment 1 to React)
- 4 Labs (253A), 8 Labs (153A)
- Group project (253A), Take home exam (153A)
AI Policy
- Initial assignment submissions: NO AI (learn fundamentals first)
- Resubmissions & final projects: AI ENCOURAGED
More on Assignments
- Assignments must be done individually, but you can ask others for help
- Assignments are due at 11:59 pm on the day they are assigned to be due
- Every day it is late after that we will deduct 5 points from the final score
- If you have any problems, please let us know
- You will be given a github classroom link to generate your own git repository where you will save your work
- You will submit your work submitting the link to your repo in bCourses
More on Labs
- Labs provide opportunity to try out what you learned
- Labs will be graded on a simplified basis out of 10:
- Correct: 10/10
- Not correct, but shows significant effort: 8.5/10
- Not correct, low to no effort: 7/10
- No submission: 0/10
- You will be given a github classroom link to generate your own git repository where you will save your work
- You will submit your work submitting the link to your repo in bCourses
More on the Group Project
- INFO 253A only
- The group project is an opportunity to build a project you come with other students
- Must be in groups of 4-5. There are no exceptions to this rule
- We will form teams and ask you to draft up a proposal of what you would like to build, and we will give you feedback. Then you will build your proposal
- There will be presentations the last day of instruction on the week before RRR week
More on the Take Home Exam
- INFO 153A only
- During the last week of instruction - in person
- Will be similar to an assignment, but meant to be done within an hour
Grade Breakdown
| INFO 253A |
INFO 153A |
| Class Participation: 10% |
Class Participation: 10% |
| Labs: 20% |
Labs: 40% |
| Assignment: 30% |
Assignment: 30% |
| Group Project: 40% |
Take Home Exam: 20% |
What counts as class participation?
- Come to class
- Ask Questions
- Do in person assignments
Readings?
- After some thought and research, we are moving away from textbook readings in the class
- In this day, it's a bit rare for software engineers to learn new technologies by reading a book from beginning to end
- We will use three courses from there for our class prep:
Required Video Courses:
Course Structure: Maximum 2 hours prep per week - watch only essential videos. Deep dives happen in class!
Technologies you will use
Languages/Libraries
- HTML/CSS
- JavaScript
- React
- CSS Framework
- Ollama (LLM)
Tools
- Git
- Unix/Terminal
- Microsoft Visual Studio Code
- Chrome with React Development Tools
But Don't Worry
- This is not primarily a programming class
- Focus on fundamentals first - that's why no AI initially
- Grades are based on the demonstration of understanding the base concepts
- Grades are not based on extra bells and whistles
- After you understand basics, AI will help you build amazing things
- We are here to help
This is still a Graduate Class
- Perform well without supervision
- Understand classroom prep materials from a variety of different areas on the web
- Ask for help proactively
- Get frameworks working on your own
Responsibilities
Me
- Explain core concepts
- Understand design trade-offs
- Introduce new technologies
- Tie everything together
Responsibilities
You
- Complete 2-hour video prep before each class (essential for participation)
- Understand lectures and engage in interactive activities
- Explore new technologies (AI encouraged after fundamentals)
- Work independently and in groups
Wait List
- INFO 253A is set aside for Grad Students: This comes as a first come first served basis
- INFO 153A is set aside for Undergrad students: This comes as a first come first served basis
- The waitlist order for both classes will be honored
- Due to fire code restrictions, enrollment is limited to 49 students per class
- No class expansion is possible beyond this limit
Wait List - Auditing
- Apologies, but there will be no auditing this class this year
- Course materials will be publicly available if you ultimately are not able to enroll into the class
How Our Learning Approach Works
Before Class (2 hours max):
- Watch only essential videos
- Focus on "what" not "why"
- Get basic familiarity
- Tips: Watch at 1.5x speed, skip intros/outros
During Class (2 hours):
- Deep dive into concepts together
- Live coding and practice
- Answer the "why" questions
- Debugging and problem-solving
After Class (optional):
- Extended practice with AI assistance
- Explore advanced topics
- Work on assignments
So what is this class really about?
- Good Question
- With the exception of mobile native applications, we now primarily interact with the internet using user interfaces powered by web technologies
- Even some mobile applications themselves are powered by web technologies
Focus on the browser
- We will be focusing on how to make your web browser an interactive internet powered canvas
- In the process, we will go through the philosophies of the internet, of web development, and the why things are the way they are
- By understanding not just the how, but the why, you'll be able to better be prepared for future trends, and better build and understand current systems
Focus on personal development
- Even though we will be focusing a lot on building software, this is not a bootcamp course
- You will all come away with different skills and takeaways from this material
- Let's go through some scenarios
For Backend/Data Engineers
- This class will enable you to see how the services that you build are consumed for user delight
- You can appreciate some of the tradeoffs front end engineers have to make to use your services
- You'll see how your skills translate (or not) to user interface engineering
For UI Designers
- This class will enable you to see how the designs that you build are translated into code that brings it to life
- You may also start to notice how designs are broken down into individual reusable components, and perhaps how you can use that understanding in your future designs
For UX Designers
- This class will enable you to see how the user interactions you build your widgets on are actualized
- The technical tradeoffs that exist when building UI widgets can inform your future designs in what may (or may not) be possible from an engineering perspective
For Computer Scientists
- This class will enable you to use your programming skills to build actual UI's that can be used by real users
- You will see how some of the data structures and coding constructs (e.g. functional programming) that you learn from classes are inherent in building user interfaces
For Product Managers / Business Leaders
- This class will enable you to experience first hand what it takes to build a user interface from scratch
- This class also can give you a sense on how long new features take to build
- This class can provide understanding on what programmers on your team go through on a daily basis, giving insight on how to better direct the future of your product
Data Scientist
- This class will take you away from writing code to analyze data to writing code to build products based on the data that you have analyzed
- This course could also give insights on how to build better visualizations of the data that you may have not have considered before
ML Engineer
- This class will enable you to build front ends that connect the user to the models that you train and release to the world
- This class will help you be able to connect with full stack engineers and better understand their considerations and needs and can incorporate those concepts to your model/pipelines