QI Enrich Summer  Camps

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Video Game Design & Development Camp: Details & Requirements

Applicants must begin their sophomore,  junior, or senior year in high school in the Fall of the year they’re applying, and have a computer they can use everyday from 9-3pm.

 

Sessions Schedule

( Live Remote Instruction ):

Camp: July 26 – August 6, 2021
Monday-Friday, 9:00am – 3:00pm
Only 30 seats per session. Registrations are on a first-come, first-served basis so we recommend registering early.

 

Pricing:

Regular: $1595
Early Bird (10% off Regular Price): $1495
Early Bird Pricing Ends May 30th, 2021

 

Scholarships available for students from under-resourced backgrounds. Email enrich@eng.ucsd.edu for an application.

Big Data Summer Camp: Details & Requirements

Applicants must begin their sophomore,  junior, or senior year in high school in the Fall of the year they’re applying, and have a computer they can use everyday from 9-3pm.

 

Sessions Schedule

( Live Remote Instruction ):

Session 1: July 19-23, 2021
Session 2: August 9-13, 2021
Monday-Friday, 9:00am – 3:00pm
Only 30 seats per session. Registrations are on a first-come, first-served basis so we recommend registering early.

 

Pricing:

Regular: $995
Early Bird (10% off Regular Price): $895
Early Bird Pricing Ends May 30th, 2021

 

Scholarships available for students from under-resourced backgrounds. Email enrich@eng.ucsd.edu for an application.

Testimonials

This camp is extremely helpful in providing great information on data science as a career. It supplies hands on activities through a very understandable program, which gives a strong base to start off in the vast world of data science. Overall, this camp is a great experience, and gives support for people who want to pursue data science.
— Chris, Sophomore

 

The camp was so good and so exciting. It gave me a lot of information about my career and was a useful camp.
— Meron, Junior

 

Being a part of the camp made me feel like a college student. I was independent to go wherever and be responsible. I enjoyed the teaching that our instructor provided. I will recommend this to anyone who loves computer science.
— Prithvi, Senior

Video Game Design and Development Camp for High School Students

Online Sessions. For students and instructor safety, the 2021 Video Game Design and Development Camp will be taught online. The sessions will be taught using an interactive video format, with Discord channels for real-time collaboration and project development. UC San Diego is monitoring the coronavirus developments closely. For the latest updates check https://coronavirus.ucsd.edu/.

Hands-on Project-Based Summer Camps. UC San Diego Qualcomm Institute’s Video Game Design and Development Camp provides aspiring young game enthusiasts with an exciting blend of the art and science of game design and development. Our pre-college summer camps are designed for students with interests in the tools and processes involved in designing and developing games, as well as how games are used for research and wellness as well as entertainment. During our camp, students will work collaboratively with industry-standard tools for developing their own video game project.

Two-Week Camp. During the two-week camp, students will learn the basics of game design and development using the Unity 3D game engine, agile project management tools, and git for revision control.  Different PoNG and guest presentations over the course of the two weeks will introduce students to multiple perspectives on game design and development. During the camp, students will also work in small teams to create their own game.  No programming experience or knowledge is required, however, students with prior programming experience will be challenged to extend their C# skills in Unity.  Our daily schedule will have two morning learning sessions and a work-focused afternoon sessions that are flexibly timed to accommodate the needs and interests of our students. The camp will run from 9-3p daily with 1-hour lunch.  On some days, we will have a Lunch and Learn activity involving a speaker.

Schedule for Week 1

Week 1 MONDAY 

  • Who are the players in game development and what do they do?
    • Early morning – Introductions and our approach to the challenge of game development. Introduce different roles of people involved in game design and development such as designers, artists/technical artists, front end programmer, back end programmer, music & audio producer, tester, etc.
    • Late morning – Game analysis: What makes game good or memorable? Discussion of unique game mechanics in different games. 
    • Early afternoon – Why start with a design document?
    • Late afternoon – Design doc for a game (full group project to introduce the idea of storyboarding, laying out flow, etc.)

TUESDAY

  • Art for everyone
    • Early morning  – 2D art with vectors and bitmaps
    • Late morning – 3D meshes and texturing
    • Afternoon – Let’s create some game art! Try your hand at 2D and 3D creations (alone or in groups).

WEDNESDAY

  • Sound design for everyone
    • Early morning – Sound design and effect resources and recording 
    • Late morning – Discuss game songs and what makes them stand out?
    • Afternoon – Creating games sounds and music loops.  Evoking different moods through sound (alone or in groups).

THURSDAY

  • Programming in Unity for everyone
    • Early morning – The game loop
    • Late morning – Responding to the world
    • Afternoon – Create your own platformer game (alone or in groups).

FRIDAY

  •  Bringing it all together 
    • Early morning  – Render a scene in Unity with WebGL.
    • Late morning – Team-based development tools for revision control and getting things done; Quality Assurance testing in a group 
    • Afternoon – Find a team, finish design doc, and open a sprint for our work for the next week
Schedule for Week 2

Week 2 MONDAY, TUESDAY, WEDNESDAY 

This week will be more focused on team-based work and completing tasks in the sprint, interspersed with short talks. PoNG staff will be available to help teams with their progress.  Monday through Thursday at lunch we will have speakers who develop games for industry or academic purposes. On Friday we will showcase the games and attend a showcase that is part of an internship program. 

  • Day 1-3 – Work on sprint tasks to create a game MVP
    • Early morning – Daily group standups
    • Late morning – Project work and assistance with any blockers 
    • Lunch – Industry talk (plan for 1.5 hours for talk plus discussion)
    • Afternoon – Complete tasks, QA testing each other’s work, bug fixing (repeat) 

THURSDAY

  •  Get ready to share
    • Early Morning  – Crunch time! How to deliver releases on time and stay sane.
    • Late Morning – Preparing your presentation and MVP
    • Afternoon – Close the sprint and cut a release.

FRIDAY

  •  Bringing it all together 
    • Early morning – Show off your game!
    • Late morning – Celebrate! Share what you learned with others.
    • Afternoon – Attend PoNG Internship showcase.  Q&A with interns and PoNG staff

 

Big Data Summer Camp for High School Students

Online Sessions. For students and instructor safety, the 2021 Big Data Summer Camps will be taught online. The sessions will be taught real-time using an interactive video format, and remains a hands-on project-based camp. UC San Diego is monitoring the coronavirus developments closely. For the latest updates check https://coronavirus.ucsd.edu/.

Hands-on Project-Based Summer Camps. UC San Diego Qualcomm Institute’s Big Data Summer Camps provide aspiring young data scientists an immersive educational experience using cutting-edge approaches to Big Data. These pre-college summer camps are designed for students with interests in data analytics and visualization, artificial intelligence and machine learning, and how these fields and approaches assist in discovering and evaluating predictive models. The summer camps are each a week long and will introduce participants to the use of data and tools related to Big Data ecosystem. Even in an online format, the Big Data Summer Camps remain hands-on and project-based.

Session 1 & Session 2. Students will learn the basic math, visualization and methods behind data science and will work on team projects with classmates using real life examples. Over the course of the week, the content will build in complexity and difficulty, and will include strategies for data visualization and model development and evaluation. No programming experience or knowledge is required. Additionally, invited guests from academia and industry will give presentations to expose the students to various data science application domains. Students can enroll in either Session 1 or Session 2.

Week Schedule For Session 1 & 2

MONDAY
9:00 AM – Welcome and Introduction
9:30 AM – Data Modeling in the Age of Big Data
10:00 AM – Data Science Industry Landscape: Who Does What?
11:00 AM – Intro to Big Data Concepts, Tools and Technologies
12:00 PM – Lunch Break
1:00 PM – Analytics Platform Introduction and Tutorial
2:00 PM – Hands-on Exercises Data Load and Manipulation

TUESDAY
9:00 AM – Intro to Basic Machine Learning Concepts and Methods
10:00 AM – Practical Approach to Data Science
10:30 AM – Hands-on Data Preparation and Cleaning
11:00 AM – Hands-on Practical Data Visualization
12:00 PM – Lunch Break
1:00 PM – Introduction to Basic Machine Learning Algorithms
2:00 PM – Basic Algorithms: K-Nearest Neighbor & Hands-on

WEDNESDAY
9:00 AM – Intro to Supervised Learning: Decision Trees and Regression Trees
10:00 AM – Decision Trees Hands-on
11:00 AM – Regression Trees Hands-on
12:00 PM – Lunch Break
1:00 PM – Market Basket Analysis and Recommendation Engines (Lecture + Hands-on)
2:00 PM – Industry Guest Speaker

THURSDAY
9:00 AM – Unsupervised Learning: Clustering Methods
10:00 AM – Hands-on Clustering
12:00 PM – Lunch Break
1:00 PM – Guest Speaker
2:00 PM – Model Evaluation and Validation

FRIDAY
9:00 AM – Hands-on Project: Small Group Team work on the Case Study and Discussion
(Choice of numerous data sets including Yelp, Twitter, Google, Instagram, Airlines, Bike Sharing, Sales, Foods, Health, etc.)
2:00 PM – Final Discussion, Overview and Conclusion

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