簡士鎰 Chien, Shih-Yi
Dr. Chien is an Assistant Professor in the Department of Management Information Systems at National Chengchi University. He completed his Ph.D. in the School of Computing and Information at the University of Pittsburgh, and was an adjunct faculty in this founding iSchool. His background spans the field of human-automation collaboration, including user experience, social robots and biometric technology. His current research projects examine the interaction quality of human-humanoid robot collaboration and trust and privacy in biometric technology across cultures.
Sharon (I-Han) Hsiao is an assistant professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. Her research focuses on adaptive technology, personalized learning, interactive educational systems, visual analytics, social visualizations, open user modeling, educational data mining.
Prior to ASU, Hsiao was an adjunct assistant professor in Columbia University. She established several research projects and taught a graduate-level course: Data Visualization. She completed her postdoctoral study in Columbia University (2014). She obtained her Ph.D. in School of Information Sciences, University of Pittsburgh (2012).
專長領域：Learning Technologies, Visual Learning Analytics, Interactive Educational Systems
Dr. Chih Hao Ku received his Ph.D. in Information Systems & Technology at Claremont Graduate University. His research focuses on (1) how to apply Natural Language Processing techniques to identify relevant information, (2) how to turn big data into useful and actionable knowledge for decision makers, and (3) how to apply visualization techniques to present a large amount of data. He has published his work in Tourism Management, Journal of Information Systems, International Journal of Information Management, Journal of the American Society for Information Science and Technology, Government Information Quarterly, and in the major IS conferences such as Hawaii International Conference on System Sciences (HICSS) and Americas Conference on Information Systems (AMICS) among others.
專長領域：Natural Language Processing, Deep Learning, Data Mining
The purpose of this course is to provide the basic knowledge of computer science. Upon successful completion, students will:
- learn history and fundamental knowledge of computer science.
- understand the principles and gain experience in programming languages.
- understand the innovative features of intelligent systems and computer applications.
- Introduce the history, conceptual structure, and computer organizations of computer science.
- Introduce innovative features of intelligent systems and computer applications.
- Lecture:60 %
- Discussion:20 %
- Group Activity:20%
共 60 人
- 課後作業： 5份課堂內容延伸之程式練習，各佔5%；及建置個人網站，佔10%，共35%。
- Homework 35%
- Midterm 30%
- Final Project 35%
Discovering Computers 2018: Digital Technology, Data, and Devices
ISBN-13: 978-1337285100/ ISBN-10: 9781337285100