Artificial Intelligence

STUDY PROGRAM

Artificial Intelligence is one of the specializations within the Informatics study program that delves into creating applications or systems with artificial intelligence. Students will study algorithms and development methods for artificial intelligence systems utilizing the Internet of Things (IoT), Machine Learning (ML), Natural Language Processing (NLP), and more. Students will also be provided with foundational material to prepare them to become AI Engineers and ML Engineers.

Title : Sarjana Komputer (S.Kom.) – Strata 1 (S1)

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Google Developer Festival
This event is an activity designed to connect and inspire technology developers in an accessible environment. The event offers various hands-on learning experiences, technical lectures delivered in the local language by experts, and opportunities to meet fellow local developers. Participants are given the opportunity to engage in direct learning experiences, gaining a deeper understanding of the latest developments in the technology world.
National Programming and Logic Competition (NPLC)
This competition serves as a platform for high school/vocational school students (or equivalent) who possess talent in programming and algorithms. NPLC is an event to develop students’ interests and capabilities in computer science and information technology. There are two categories in this competition: Programming Logic and Logic-Based Rally Games.
Google I/O Extended
Google I/O Extended is a series of community-led technology meetups bringing developer content. Participants can dive deeper into new developer products from Google. Direct interaction with industry experts is also available, allowing discussions on the latest trends and sharing knowledge and experiences with fellow developers.

Big Data Engineer
Machine Learning Engineer
Data Mining & Analyst
Software Engineer
E-Commerce Developer
Data Scientist
Natural Language Processing Engineer
Web Developer
Business Intelligence Developer

Real World Project
Coursework projects aiming toward production-ready software/applications to be implemented in the industry.
Student Centered Learning
Learning strategies that integrate the latest curriculum along with courses tailored to the learning styles of Generation Z students.
Mentoring
Intensive semester-by-semester mentoring and tutorial programs to help students maximize their potential and achieve peak performance.
Entrepreneurship Learning
Students are equipped with an entrepreneurial mindset in technology (technopreneurship). In every course, students are challenged to create opportunities and innovations, including completing a final project focused on practical business creation.