This course aims at providing fundamental and practical notions in finite element analysis. The course will present systematic approaches for the derivation of various finite elements. The students will also be introduced to numerical techniques for the solution of the discretized governing equations. Practical aspects such as mesh generation and choice related to numerical integration will also be presented.

This course will mostly be based on structural analysis, focusing on both isotropic and composite materials. Students need to program their own FE code to accomplish homework and final project.

AE8104

Previous knowledge or currently registered to courses related to: Solid Mechanics, Mechanics of Composites, Linear Algebra, and Numerical analysis. This course also requires some programming knowledge with C/C++, FORTRAN, Java, Python or any other computer language you prefer. Matlab is not recommended for graduate students.

Letter grade’s policy is subjected to SJTU policy:  

A+ [95, 100], A [90, 95), A- [85, 90); 

B+ [82, 85), B [78, 82), B- [75, 78); 

C+ [71, 75), C [67, 71), C- [63, 67); 

D [60, 63), F [0, 60). 

N/A

This course serves as an introductory solid state physics course for graduate students or seniors with an engineering background to conduct research in the area of electronics, material science, optics, nanoscience and technology.

TBA

Knowledge of general physics (previous exposure to quantum mechanics is beneficial).

Assessment:

1. In-class exercises 25%
2. Homework 20%
3. Course Project 20%
4. Final 35%

N/A

This course is offered for senior undergraduates, master students and Ph.D candidates. It introduces fundamental principles and practical techniques of digital image processing. The content of the course comprises of 3 parts:

1. Fundamental principles, includes the theories of 2- D signal processing and visual psychology, results of information theory and image transforms.
2. Human visual system based practical techniques, includes the principles and the methods of image enhancement, image restoration, image reconstruction and image compression.
3. Content recognition and understanding based practical techniques, introduces image segmentation and image description in the view of digital image processing.

This course completely reflects the new progress of digital image processing, not only gives the research hotspots, but also gives practical methods and techniques of this field.

ICE6202H

Only for senior undergraduates.

Prerequisites: Knowledge of Digital Signal Processing, Matrix Theory, Probability Theory, Random Procedure.

N/A

N/A

Develop an understanding of the physical behavior of materials under load. The course emphasizes equilibrium, compatibility of deformation, and material behavior. Weekly lectures are given on theory and applications in statics, mechanics and structural engineering. Applications include axial loads, thermal stresses, bending, shear, and torsion, combined loadings, stress and strain transformations.

TBA

N/A

N/A

N/A

This course would cover the fundamental principles, algorithm designs and frontier progresses on quantum information and quantum computing, with an emphasis on the practical skills and visions for application-oriented quantum information technologies.

Through this course, the students are expected to:

• Understand fundamental concepts for computational complexity, and the essential difference between classical and quantum computing;
• Learn different physical platforms for quantum computing including photonics, superconductors, ion traps, etc; Understand the physical realization and matrix expressions for qubits and quantum gates.
• Master common universal quantum algorithms including Deutsche’s algorithm, Grover’s algorithm, Shor’s algorithm, Quantum Fourier transform, and know how to implement quantum circuits on the online quantum cloud platform to demonstrate these algorithms.
• Learn analog quantum algorithms such as boson sampling and quantum walks, and understand the common analog quantum computing approaches including analog photonic quantum computing, Ising machine, and quantum annealer, etc.
• Know the hybrid quantum-classical algorithms such as VQE and QAOA that are being widely investigated as the Noisy Intermediate-Scale Quantum technologies.

MS331-MS333

For second or third year undergraduates with background in physics, mathematics, computer sciences or other engineering subjects. Preliminary knowledge of quantum mechanics is not a must.

Assessment:

1. Class performance: 30%
2. Oral report: 20%
3. Final Exam: 25%
4. Report: 25%

N/A

Materials are the physical foundations for the development of science and technology. The human civilizations are historically designated by the evolution of materials, such as the Stone Age, the Bronze Age and the Iron Age. Nowadays, materials science and technology support most of the industrial sectors, including aerospace, telecommunications, transportation, architecture, infrastructure and so on. Fundamentals of Materials Science is a core module for undergraduates majored in materials science and engineering.

An integrated approach of combining metallic, ceramic and polymeric materials will be adopted in this course, for the attendants to attain a deep understanding on the correlation of composition, microstructure, processing and properties in materials science. The first part of this course will cover atomic bonding, structure of solids, defects, and mechanical properties of materials.

MSE2605

For materials science & metallurgy students.

Prerequisites: Knowledge of calculus, college physics, and thermodynamics.

Assessment:

1. Class participation and quizzes: 10%
2. Problem sets: 10%
3. Experiments (for offline students) / Mini research report (for online students): 20%
4. Final exam: 60%

N/A

Basic principles of modern physics and quantum mechanics as pertain to solid state physics and the physical behavior of materials on the atomic scale. Applications to solid state materials will be emphasized on those topics including thermal capacity, electric conductivity, and semiconductors.

MSE3607 

Prerequisites: Knowledge of Calculus, General Physics,Thermal dynamics, Fundamentals of Materials Science

Assessment:

1. Lectures: 10%
2. Homework: 20%
3. Final Examination: 70%

N/A

Exercise is medicine. Regular and moderate exercise can effectively strengthen immune system so as to reduce the risk of virus infection and also improve or assist in the treatment of dysthymic disorders like anxiety and depression. This course provides suggestions for the general public about how to actively respond to the outbreak of novel coronavirus. It also explains: how the immune system reacts when viruses invade into the body; why exercises can enhance immunity and what is the mechanism; what the difference is between western sports and traditional eastern exercises. Besides, the course includes training lessons on Baduanjin, Zhanzhuang, Daoyin, Yoga and other exercises conducive to immunity improvement.      

This course is characteristic for its combination of physical education and medicine, so the course will be taught by experts in either sports or medicine. The teaching content covers both disciplinary theory and specific training method, showcasing the unique culture and charm of the East while conducting cross-cultural communication as well as sharing the wisdom of traditional exercises and modern research and application in this regard.   

PE003C22

A general understanding of traditional Chinese medicine and Indian Ayurveda.

Assessment:

1. Theoretical part: 40% (Participation: 20% + Quizzes: 60% + Final Exam: 20%)
2. Practice: 60%

N/A

To allow the students to gain an oceanic perspective, being able to view things in terms of their importance or relationship to one another; an oceanic perspective lets you see this misnamed planet in a new light, and helps you plan for its future; you will see that water, continents, seafloors, sunlight, storms, seaweeds, and society are connected in subtle and beautiful ways.

SP166

N/A

Assessment:

1. Performance and Assigned Presentation: 25%
2. Discussion: 25%
3. Review Essay Writing: 50%

N/A