Teaching in School of Electronic,
Information and Electrical Engineering
Shanghai Jiao Tong University
Introduction to
Outline
Organization of SEIEE
Faculty
Enrollments
Undergraduate Programs
Sample Curricula for CSE
Innovative Practice Program
Teaching Laboratories in CSE
International Cooperation
President Division of Teaching Affairs School of SEIEE Computer Science and Engineering
Course Group Programming StructureData Electronic Engineering Automation …... School of Mechanical Engineering Division of Research Affairs ……
Hierarchical Structures
Teaching Steering Committee Teaching Steering Committee Teaching Steering CommitteeOrganization 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
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 29
354 Faculty Members
110 full professors
151 associate professors
93 Others
Two Academicians of CAS
Two Members of
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
Credits Distribution
Course
Types
General
Course
Specialized
Courses
Laboratory
Courses
Individualization
Course
Credits
45
95
40
20
22.5%
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
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 4
Linear Algebra 3 Data Structure 4
Probability Theory and Mathematical
Statistics 3
Compulsory Courses: 51credits
Optional Courses: 10 credits (min)
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 4
Sample Curricula- CSE Specialized
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
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
Specialized Lab Courses: 8 credits (min)
Software Engineering Lab 2 Database Lab. 2
Innovative Practice Program
Workshop & Talk for Freshmen Forum & PRP Project Graduation Thesis / Project report Competition & Industrial Training Initiation Stage Outcome Enhancement Developing Stage
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
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
……
Course Evaluation / Marks
Scoring
Attendance rate
Assignments / Experiment
Examination (Mid-term exam/Final Exam )
Defense (Thesis and PRP Project)
Some Restrictions:
• 90~100 < 20%
•
~70 >10%
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
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, 2007. (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
