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Teaching in School of Electronic, Information and Electrical Engineering

Shanghai Jiao Tong University

Introduction to

Outline

Organization of SEIEEFacultyEnrollments Undergraduate Programs

Sample Curricula for CSEInnovative Practice Program

Teaching Laboratories in CSE International Cooperation

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President

Division of Teaching

Affairs

School of SEIEE

Computer Science and Engineering

Course Group Programming Data Structure

Electronic Engineering Automation …...

School of Mechanical Engineering

Division of Research Affairs

……

Hierarchical Structures

Teaching Steering Committee

Teaching Steering Committee

Teaching Steering Committee

Organization of SEIEE

Five departments and One CenterDepartment of Electronic EngineeringDepartment of AutomationDepartment of Computer Science and EngineeringDepartment of Electrical EngineeringDepartment of Instrument Science and Engineering

Center for Electrical and Electronic Experiment Demonstration

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Disciplines at SEIEE

Control Science and EngineeringComputer Science and TechnologyElectronics Science and TechnologyInformation and Communication Engineering Electrical EngineeringInstrument Science and Technology

Faculty in SEIEE

full Prof. 34Assoc.Prof. 37Others 29

354 Faculty Members110 full professors151 associate professors93 Others

Two Academicians of CAS Two Members of Engineering Academy

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Student Enrolment

Enrolment800 undergraduates per year500 full time Msc students per year400 part time Msc students per year150 Phd students per year

Program DurationBachelor Degree Program: 4 yearsMaster Degree Program: 2.5 yearsPhd Degree Program: 3-5 years

Undergraduate Program

Courses are classified into five categoriesGeneral Course: Common Curricula+ Core Courses

• Core Courses = Humanity +Social Science + Natural Science, Engineering and Technology + Mathematics and Logics

Specialized Courses Laboratory/Project CoursesCourses for Invidualization

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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

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Compulsory Courses Credits Optional Courses Credits

Advanced Mathematics 1 6Advanced Mathematics 2 4 Electromagnetic Field 2

College Physics 1 4 Signals and Systems 3

College Physics 2 4 Automatic Control Theory 3College 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 3Analog Electronic Technology 3

Electronics Lab 3Principles 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

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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

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Innovation Projects

National innovative practice programShanghai Municipality practice programUniversity PRP programPark for Science and Technology Innovation organized by SEIEECompetition/Contest organized by industries (IBM/Intel/Google) and association

Innovative Practice

Internship (Industrial Training / Research Training) Two months’ TrainingInternship reportIndustrial Training Base• IBM, Microsoft, Intel, google, Baidu, Alibaba, ……

Graduation Thesis / Project ReportThe whole last semester Thesis Defense In industries or in prefessor’s Lab

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Industrial Experience

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Leaching Labs in CSE

Lab for Computer Organization and Architecture Lab for Computer Networks

Lab for Intelligent Computing and Intelligent SystemsLab for Sensor NetworksLab for Trustworthy Computing……

Course Evaluation / Marks

Scoring Attendance rateAssignments / ExperimentExamination (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

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Teaching Performance Evaluation

Evaluation the teaching system by external educational experts organized by MOEOnline evaluation on teachers by students Student colloquium/meeting organized by School and Department to collect student’s suggestionsInstructional 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

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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

International Cooperation

Carnegie Mellon University Student Exchange

Georgia Tech University Student Exchange Dual Master Degree

New Mexico University Student Exchange

Technical University of Berlin Student Exchange Dual Master Degree

Waseda University Dual Master Degree

INSA de Lyon Student Exchange

ENSEEIHT Student Exchange

HSR University, Switzerland Student Exchange

…..

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Internationalization

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Sydney Univeristy

Singapore University

Thank you!