3. 강의목표
AI is rapidly prevailing as an everyday commodity that creates new and rich experiences in every facet of our life. In this course, we explore novel intelligent systems and human-centered applications in the physical forms of mobile, IoT and wearables, which are always together with our real life anytime, anywhere. This course is organized with (1) cutting-edge research prototypes premiered in top-tiered conferences, (2) a few special invited lectures given by globally renowned researchers, (3) end-to-end programming practices on physical sensing, machine learning, and user interfaces on mobile platforms, as well as a term project. This course does not plan mid-term nor final exams. Students can self-define their term project topics, preferably in relation to their own research area and this course’s theme. If necessary, Inseok will be happy to discuss a student’s potential topic.
4. 강의선수/수강필수사항
There is no hard-required prerequisite. Modest background on machine learning, human-computer interaction, operating systems, or signal processing would be helpful but not strictly required.
5. 성적평가
Term project: 30%
Paper presentations: 20%
Quiz and assignments: 40%
Interactivity: 10%
6. 강의교재
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No textbook designated. All the necessary written materials will be provided in the course. Mobile devices (e.g., smartphones or wearables) may be necessary for the assignments and/or project. If some students do not have such devices, the course will su
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7. 참고문헌 및 자료
Detailed literature and day-by-day plans will be announced before the semester opening, to be available at: https://www.his-lab.org/courses
8. 강의진도계획
These are major topics to be discussed in this course.
Please note that the plan may undergo continuous minor revision. Detailed day-by-day plans will be updated at PLMS and also appear at https://www.his-lab.org/courses before the semester opening
Course introduction
System issues on mobile intelligence
● Mobile sensing and sense-making pipelines
● Mobile, edge, and cloud collaboration
● Acceleration and low-power
● Physical device heterogeneity
● Secure mobile AI
● Task- and model-concurrency
Human-centered issues with mobile intelligence
● Mobile issues in HAI (Human-AI interaction)
● AI-assisted mobile user interfaces
● Mobile AI and mobile AR/VR (Augmented/Virtual Reality)
● Sensing and recognizing human activities and gestures
● Sensing and understanding human physiology and psychology
● Privacy issues in mobile and embodied intelligence
11. 장애학생에 대한 학습지원 사항
- 수강 관련: 문자 통역(청각), 교과목 보조(발달), 노트필기(전 유형) 등
- 시험 관련: 시험시간 연장(필요시 전 유형), 시험지 확대 복사(시각) 등
- 기타 추가 요청사항 발생 시 장애학생지원센터(279-2434)로 요청