DIY Project: Assembling an iphone6 (2)
Practice
2 credits (including 1 lab credit)
64 hours
Practice
2 credits (including 1 lab credit)
64 hours
Curricula Introduction:The aim of this course is to train students to do engineering projects, inspire them to choose major in the department of electrical and electronic engineering, even in the future, to become an excellent electrical engineer. The task of the project is to assemble an iphone6. Two students are a group, they are required to collect any information or technical reports about the project, purchase the electronic components and packages from the market, assemble all the components into a cell phone. They need to finish the project in 45 days and record the whole process in video, the budget of the project is 3000RMB. Each group is required to give a final presentation. The projects are evaluated from five aspects: workload, product performance, time duration, cost and the quality of the final presentation.
Brief Introduction of “Creative Electronic Design II” (0.5)
Experiment
0.5 credits
4 hours per week
Experiment
0.5 credits
4 hours per week
Curricula Introduction:This course is for the sophomore students, which provides a promotion and practice platform for students interested in electronic direction. This course is an experiment course, which contents 4 professional experiments: the general electrical experiment, the micro-electronics experiment, the photoelectric information experiment, and the communication engineering experiment. Each experiment is about 4 hours. These experiments are set around sophomore existing knowledge, and to train the ability of using the theoretical knowledge for practical operation.
Communications & Electronics Design based on LabVIEW Programming (1)
Experiment
0.5 credits
8 hours per week
Experiment
0.5 credits
8 hours per week
Curricula Introduction:In information, communication, computer and other related professional field, it is very important to master the LabVIEW programming skills. Since the current enterprise-class communication equipment (wired or wireless) gradually adopt the automated measurement and the graphical programming techniques, such as data acquisition systems, environmental monitoring systems, and industrial-grade software radio monitoring system, etc., the students equipped with the LabVIEW-based programming skills, on the one hand are better to meet the business needs, on the other hand, can also engage in the development of software radio products or the related research of software radio theory.
Through this course, students can learn
Innovation and Entrepreneurship (0.5)
Experiment
0.5 credits
4 hours per week
Experiment
0.5 credits
4 hours per week
Curricula Introduction:Students who take this elective course firstly need to select a professor of from EE department as his/her supervisor, and conduct scientific research under the supervision. This course aims to improve students’ scientific literacies and innovation abilities by taking part in the scientific research guided by the professors. Meanwhile, through this course, the students are expected to lay a good foundation for their future development by learning cutting-edge scientific knowledge and working on advanced scientific instruments.
Fiber sensor design (1)
Experiment lesson
1 credits
8 hours per week
Experiment lesson
1 credits
8 hours per week
Curricula Introduction:Fiber sensors which have the abilities of gathering information play an important role in the development of the Internet of things. This course will mainly introduce the basic work principles and applications of fiber sensors, and direct students to construct the whole fiber sensing systems, perform the measurements and analyze the performance of sensors.
Advanced Technology Forecasting (1.5)
Lecture
1.5 credits
6 hours per week
Lecture
1.5 credits
6 hours per week
Curricula Introduction:This course examines the evolution of electronics/ computers/ biological systems and extrapolates (in an intelligent way) the predicted path for these within the next 30 years or so, It emphasizes the concept of "The Singularity" as described by Ray Kurzweil (currently R&D Director at Google), when the capability of non-biological intelligence is predicted to exceed that of the human brain. It gives the "big picture" as it shows how dedicated engineering in the areas of Electronics, Computers, Genetics, Nanotechnology, Robotics, and Strong Artificial Intelligence, should pay off in the future.
Statistical Machine Learning (2)
Lecture
2 credits
8 hours per week
Lecture
2 credits
8 hours per week
Curricula Introduction:Prerequisites: MA103A, MA212. The objective of this course is to impart a working knowledge of several important and widely used pattern recognition topics to the students through a mixture of motivational applications and theory.
2D Materials: Properties and Devices (2)
Lecture
2 credits
16 hours per week
Lecture
2 credits
16 hours per week
Curricula Introduction:This course introduces the students to the basic electrical and optical properties of 2D materials, and their device physics. I will discuss the basic optical and electronic properties of 2D materials, in particular graphene. Conceptual framework for understanding the essential physics and working principles of their electronic, optoelectronic, photonic and plasmonic devices will also be discussed. Concepts discussed will be heavily intertwined with reported experiments, and considered in light of intended applications.