The program is designed to give prospective students a taste of what it is like to study in AiCE, while helping them to develop important AI and computer engineering skills, and to have fun learning.
July 3, 2023 - August 4, 2023
Mon-Tues-Thurs from 9.30 am - 4.30 pm
(15 hours per week, 5 hours per day)
Cost of Attendance
The program fee can be applied to the application fee for B.Eng. in AiCE program for Fall 2024.
*** This program does not require prior exposure to computer science or programming.
AI engineering is an emerging discipline that focuses on the tools, systems, and processes required to apply artificial intelligence in real-world contexts.
CMKL’s AI and Computer Engineering (AiCE) undergraduate curriculum utilizes a flexible, student-controlled, competency-based approach to guide students toward mastery of the skills required of AI engineers.
The AiCE curriculum allows students to customize their learning paths and measures their accomplishments based on assessment of what they can do (their competencies) rather than on rote knowledge or exams.
Students will choose three out of five competencies that will be offered: Geographic Computing, Introduction to Machine Learning, Startup Intelligence, Immersive Environments and Future Game Design.
Do you ever wonder why games like Valorant, Fortnite, Minecraft, or Goose Goose Duck are so fun? Join us on a five-week journey where we will teach you the secrets of Future Game Design! Our course will teach about the different aspects of interactive experiences, gamification, and game-based learning, as well as explore new tools and techniques that can be applied to everyday life.
Experience the exciting world of immersive environments with hands-on labs, demos, and discussions on creating fun Unity programs that engage all of your senses through real-time 3D graphics, audio, and interaction. In just five lectures and labs, learn the basic concepts and get started with C# programming language for use with the Unity Engine.
The competency covers the core concepts needed to build computer systems that can learn patterns from data and make predictions about new information. You'll explore the difference between supervised and unsupervised learning methods, where the main difference lies in whether you know the answer ahead of time for the data used to teach the ML system.
How often do you use Google Maps? Track a Grab driver coming to pick you up or do a delivery? Have you ever wondered how they work? This competency will show you how information about the surface of the earth, object locations, positions and paths can be represented in a computer program, and give you the chance to work with some open-source geographic computing tools.
Learn the fundamentals of starting up, design thinking, and lean startup methodologies, and test them against your startup aspirations – through this competency, you will learn to ideate, validate, iterate, develop, test, and commercialize or raise investments for your startup ideas. Bring your dreams to life through a live mentorship session, where professional startup investors and mentors provide feedback to help you gain insight into the secrets to startup success! Not to be missed!
Here is a sample schedule for one week.
Students must choose three out of five competencies to study during the program. The number of students allowed in each session will be limited, so students will have to sign up in advance. Students can also decide when they want to try the assessment activities. The schedule may be subject to appropriate changes without any prior notice.
Who should apply?
All AiCE incoming first-year students are invited to attend the AiCE Warp program.
High school students who are considering studying in AI and Computer Engineering are welcome.
Students are not required to have any prior experience with computer science or engineering.
The University reserves the right to adjust the schedule without prior notice, depending on the instructors’ availability and the situation of COVID-19 in Thailand.
There is no refund or cancellation after a student decides to attend our program.
Only students who have completed payment may attend the program.
The University reserves the right to refuse the attendance of the students who do not follow the University’s policies and regulations.
Upon completion of the five-week session,
participants will receive a certification of completion.
Credits Awarded for AiCE Warp
(Intro to AI Engineering)
If they later matriculate in the AiCE program, all their successful assessments will count toward demonstrating competencies and receiving academic credit.
***The 4 credits will be awarded when you successfully complete the modules. The credits can be transferred to satisfy partial course credit requirements for a 12-credit fundamentals of programming course, B.Eng. in AiCE.
The registration will open by the end of April. To be notified as soon as it is launched, please leave your contact information with us using the form below.