Quantitative Structure-Activity Relations in Drug Design, computational techniques Students acquire a broad overview upon computational techniques applied in drug design Faculty of Chemistry and Biochemistry RUB main campus Knowledge acquired in Computational Chemistry I Week1: Introduction Week2: followed by Week3 to the Final Week M. Schindler ~ 10 5 ECTS Intended for Semester 2 / 4 Lecture and exercise Every summer semester Oral examination anjana.devi@rub.de https://www.chemie.ruhr-uni-bochum.de/imperia/md/content/chemie/studium/modulhandbuch_chemie_20.02.2018.pdf#page=172

Information can be abstract and needs to be processed so that messages are converted to things that make sense to the receivers. Utilizing various digital tools to visualize information helps us deliver information to our target audience in an intuitive and efficient way.

This course provides an overview about the state of the art in information visualization. The course highlights the principles of producing effective visualizations and introduces practical visualization procedures, including how to visualize information with software and digital tools such as the R package , Tableau, and Google fusion tables.

Specific topics include:

1. The history and background of information visualization;

2. Design principles of information visualization;

3. Data analysis methods and hands-on applications of visualization techniques;

4. Interface design issues in information visualization;

5. Future trends in information visualization.

The course will be delivered through a combination of lectures, presentations, class activities, and discussions.
This course aims to provide students with knowledge of how to effectively visualize information and hands-on experience in visualizing different types of information. The ultimate goal of this course is to provide non-technical students with tools to process, visualize, and analyze information of their own interests (e.g., data collected for their theses).

Upon successful completion of the course, students will be able to:

1. Describe the principles of information visualization;

2. Use data analysis methods and visualization tools, such as R, to manage and analyze abstract information;

3. Identify interface design issues in visualization;

4. Apply visualization techniques to specific domains of their own interests.

College of Liberal Arts Main Campus Tien-I Tsai 30 Tuesday 2,3,4 LIS5079 3 Half Department of Library and Information Science,
Graduate Institute of Library and Information Science,
Program For Knowledge Management
http://www.lis.ntu.edu.tw/en

This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given p=roject
This course provide the fundamental knowledge and principles of Computer Aided Design and Computer Aided Manufacturing and generate the hands on skill and technical application of CNC CAD/CAM through given project 1. Able to appty knowledge of Computer Aided Design and Computer Aided Manufacturing to the solution of engineering problems. 2. Able to develop engineering solution for engineering problems that meet specified needs with appropriate Computer Aided Design and Computer Aided Manufacturing approach. 3. Work in a team to accomplish the given project in demonstration, writing and presentation.

Malaysia-Japan International Institute of Technology UTMKL Lecture and Discussion, Co-operative and Collaborative Method, Problem Based Method week 1, week 2, etc. Dr Ahmad Muhsin Ithnin conditional SMJP 4633 3 Sem 8 1. CAD/CAM computer Aided Design and Manufacturing by Groover, prentice Hall 1984. 2. Understanding CAD/CAM by Bowman, Howard Co. 1986. 3. Computer Aided Manufacturing by Hsu-Pin Wang, second edition, 1999. 4. CAD/CAM by Taylor, Addison Wesley 1992. 5. Mikell P. Groover, Automation, Production systems and computer integrated manufacturing, Prentice Hall of India Private Ltd., New Delhi, 2001. 6. Ibrahim Zeid, CAD/CAM Theory and Practice, Tata McGraw-Hill Publishing Co. Ltd., New Delhi, 2001.
Report, Presentation, Peer Review Dr.Ahmad Muhsin bin lthnin mailto:ahmadmuhsin@utm.my

This course will teach how to design digital technologies that bring people joy, rather than frustration. This course will cover the followings: Techniques for rapidly prototyping and evaluating multiple interface alternatives. Conduct fieldwork with people to help you get design ideas. Make paper prototypes and low-fidelity mock-ups that are interactive and use these designs to get feedback from other stakeholders like teammates, clients, and users. Principles of perception and cognition that inform effective interaction design. Perform and analyze controlled experiments online. Principles and methods to create excellent interfaces with any technology. College of Electrical Engineering & Computer Science HAO-HUA CHU Monday 789 CSIE5641 3