Teaching in School of Electronic, Information and Electrical Engineering

Transcription

1 Introduction to Teaching in School of Electronic, Information and Electrical Engineering Shanghai Jiao Tong University Outline Organization of SEIEE Faculty Enrollments Undergraduate Programs Sample Curricula for CSE Innovative Practice Program Teaching Laboratories in CSE International Cooperation 1

2 Hierarchical Structures President Teaching Steering Committee Division of Teaching Affairs Division of Research Affairs Teaching Steering Committee School of SEIEE School of Mechanical Engineering Teaching Steering Committee Computer Science and Engineering Electronic Engineering Automation... Course Group Programming Data Structure Organization of SEIEE Five departments and One Center Department of Electronic Engineering Department of Automation Department of Computer Science and Engineering Department of Electrical Engineering Department of Instrument Science and Engineering Center for Electrical and Electronic Experiment Demonstration 2

3 Disciplines at SEIEE Control Science and Engineering Computer Science and Technology Electronics Science and Technology Information and Communication Engineering Electrical Engineering Instrument Science and Technology Faculty in SEIEE full Prof. 34 Assoc.Prof. 37 Others Faculty Members 110 full professors 151 associate professors 93 Others Two Academicians of CAS Two Members of Engineering Academy 3

4 Student Enrolment Enrolment 800 undergraduates per year 500 full time Msc students per year 400 part time Msc students per year 150 Phd students per year Program Duration Bachelor Degree Program: 4 years Master Degree Program: 2.5 years Phd Degree Program: 3-5 years Undergraduate Program Courses are classified into five categories General Course: Common Curricula+ Core Courses Core Courses = Humanity +Social Science + Natural Science, Engineering and Technology + Mathematics and Logics Specialized Courses Laboratory/Project Courses Courses for Invidualization 4

5 Credits Distribution Course Types General Course Specialized Courses Laboratory Courses Individualization Course Credits % 47.5% 20.5% 10% Unit Credit- 17 hours lessons CSE Program The CSE program has the following broad objectives: Preparing graduates to pursue post-graduate education in computer science engineering or other professional fields. Preparing graduates for success in technical careers related to computer engineering Internationalized program: All courses in CSE are given in English 5

6 Sample Curricula- CSE Specialized Compulsory Courses Credits Optional Courses Credits Advanced Mathematics 1 6 Advanced Mathematics 2 4 Electromagnetic Field 2 College Physics 1 4 Signals and Systems 3 College Physics 2 4 Automatic Control Theory 3 College Physics Lab.(1) 1 Detecting Technology 2 College Physics Lab. (2) 2 Principle of Communication 2 Discrete Mathematics (1) 2 Computer Organization and Architecture Linear Algebra 3 Data Structure 4 Probability Theory and Mathematical Statistics Mathematical Methods in Physics 3 C++Programming 3 Basic Circuit Theory 4 Basic Circuit Lab. 2 Digital Electronic Technology 3 Analog Electronic Technology 3 Electronics Lab 3 Principles of Embedded System and Experiment 3 4 Compulsory Courses: 51credits Optional Courses: 10 credits (min) 4 Sample Curricula- CSE Specialized Compulsory Courses Credits Optional Courses Credits Discrete Mathematics 2 3 Computer Security & Cryptography 2 Algorithm and Complexity 3 Artificial Intelligence 3 Compiler Principles 3 Linux Kernel 3 Operating System 3 Massive Data Processing 3 Software Engineering 2 Internet Information Retrieval 3 Principles of Database 3 Storage Technology 3 Computer Network 3 Electronic Business 3 Computer Graphics 3 Compulsory Course: 20 credits Optional Courses: 11 credits (min) Economy Informatics 3 DB2 Theory and Application 3 Advanced Operating System 3 Web Service and.net technology 3 Introduction to AS400 System 3 6

7 Lab Courses for CSE Course name Credits Course name Credits Operating System Lab 2 Technical Innovation Project 2 Computer Organization Lab. 2 Participation in Research Program(PRP) 3 Internship/ Practical Training 2 Graduation Thesis/Report 17 Computer Network Lab. 2 Compiler Lab 2 Software Engineering Lab 2 Specialized Lab Courses: 8 credits (min) Database Lab. 2 Innovative Practice Program Graduation Thesis / Project report Outcome Competition & Industrial Training Enhancement Forum & PRP Project Developing Stage Workshop & Talk for Freshmen Initiation Stage 7

8 Innovation Projects National innovative practice program Shanghai Municipality practice program University PRP program Park for Science and Technology Innovation organized by SEIEE Competition/Contest organized by industries (IBM/Intel/Google) and association Innovative Practice Internship (Industrial Training / Research Training) Two months Training Internship report Industrial Training Base IBM, Microsoft, Intel, google, Baidu, Alibaba, Graduation Thesis / Project Report The whole last semester Thesis Defense In industries or in prefessor s Lab 8

9 Industrial Experience 9

10 Leaching Labs in CSE Lab for Computer Organization and Architecture Lab for Computer Networks Lab for Intelligent Computing and Intelligent Systems Lab for Sensor Networks Lab for Trustworthy Computing Scoring Attendance rate Course Evaluation / Marks Assignments / Experiment Examination (Mid-term exam/final Exam ) Defense (Thesis and PRP Project) Some Restrictions: 90~100 < 20% ~70 >10% All course marks are submitted on web by Teachers 10

11 Teaching Performance Evaluation Evaluation the teaching system by external educational experts organized by MOE Online evaluation on teachers by students Student colloquium/meeting organized by School and Department to collect student s suggestions Instructional Supervisors ( ) attend lectures in class and write feedback suggestions of improving teaching performance (Organized by university and school) Student Quality The first place in 2002 ACM / 2005 ACM / 2009 ACM Program Contest The Team 11

12 Publications Xiaodi Hou, Liqing Zhang, Dynamic Visual Attention: Searching for coding length increments, NIPS2008, Vancouver, 2008 Xiaodi Hou and Liqing Zhang, Saliency Detection: A Spectral Residual Approach, IEEE Conf. on Computer Vision and Pattern Recognition, (CVPR '07), 17-22, June 2007, Minneapolis, MN, USA. Xiaodi Hou, Liqing Zhang, Color Conceptualization, ACM Multimedia (ACMMM2007), September 24 29, 2007, Augsburg, Germany. Wenyuan Dai, Gui-Rong Xue, Qiang Yang and Yong Yu.Co-clustering based Classification for Out-of-domain Documents. In Proceedings of ACM SIGKDD (SIGKDD 2007), Aug 12-15, San Jose, California, USA. Wenyuan Dai, Gui-Rong Xue, Qiang Yang and Yong Yu. Transferring Naive Bayes Classifiers for Text Classification. In Proceedings of Twenty-Second AAAI Conference on Artificial Intelligence (AAAI 2007), July 22-26, Vancouver, British Columbia, Canada. Wenyuan Dai, Qiang Yang, Gui-Rong Xue and Yong Yu. Boosting for Transfer Learning. In Proceedings of the Twenty-Fourth International Conference on Machine Learning (ICML 2007), June 20-24, Corvallis, Oregon, USA. Rui Li, Shenghua Bao, Ben Fei, Zhong Su, Yong Yu: "Towards Effective Browsing of Large Scale Social Annotations", In Proc. of The 16th World Wide Web Conference (WWW 2007), May 8-12, 2007, Banff, Alberta, Canada. Yang Cao & Liqing Zhang, A Novel Hierarchical Model of Saliency: Maximizing Information Transmission, ACCV2009, Xi an, China International Cooperation Carnegie Mellon University Georgia Tech University New Mexico University Technical University of Berlin Waseda University INSA de Lyon ENSEEIHT HSR University, Switzerland Student Exchange Student Exchange Dual Master Degree Student Exchange Student Exchange Dual Master Degree Dual Master Degree Student Exchange Student Exchange Student Exchange.. 12

13 Internationalization 13

14 Sydney Univeristy Singapore University Thank you! 14