Electrical Engineering

In this research course, students chose from a range of research topics in various academic fields and receive one-on-one training from an experienced mentor who helps them refine research ideas, formulate questions, define methods of data collection, execute a plan, and present findings. Students review background information for their project, summarize its key outcomes, write a clear and concise research paper or report, and present results orally.

The course provides engineering students with the skills to process and examine different forms of data in Python, and an understanding of how machine learning methods can use this data to solve classification and regression problems. Students learn how to implement these methods in Python using Scikit-learn. Students gain an awareness of when it is appropriate to use a particular method (if any), best practices, and the ethical issues that can occur when sourcing data and deploying machine learning in the real world.

‘'Communications and networks" is one of the ten core course of Dept. EE, Tsinghua University. Based on the systematic roadmaps and scientific theories of course reform progress of Dept. EE, this course focuses on the interactions of information barrier and system, or more specifically, the interactions of data packets and networks. 

Students learn about the basic concepts of electric circuits including; circuit elements, Kirchhoff’s law, basic RLC circuits, circuit theorems, Op Amp, sinusoidal steady-state analysis, frequency response and Laplace transform. Topics include Electric circuit variables, Circuit Elements, Simple Resistive Circuits, Techniques of Circuit Analysis, The Operational Amplifier, Inductance, Capacitance, and Mutual Inductance, Response of First-Order RL and RC Circuits, Natural and Step Responses of RLC Circuits, Sinusoidal Steady-State Analysis, and Sinusoidal Steady-State Power Calculations.

Prerequisites: Engineering mathematics, Differential Equations

The course is practically oriented, and students work in project groups with the different concepts/change management methods before seminars and with a major project work together with a company (or other organization) during the course. A significant part of the course is made up of literature seminars, where the students actively discuss and analyze research articles in the field.

The course gives a thorough understanding of digital integrated circuit design. Increasing complexity and high requirements on performance in the form of throughput and low power consumption increase the expectations from the hardware designer. Understanding both the possibilities and the limitations is important for both full custom designers and high-level designers. The course focuses on CMOS design.

The course outline is as follows:

Lecture 1 - Introduction
Lecture 2 - Formulation of Circuit Equations
Lecture 3 - Direct Methods for Linear Systems
Lecture 4 - Direct Methods for Sparse Linear Systems
Lecture 5 - Iterative Methods and QR Factorization
Lecture 6 - Krylov-Subspace Methods - I
Lecture 7 - Krylov-Subspace Methods - II
Lecture 8 - Solutions for Nonlinear Equations
Lecture 9 - Modified Newton Methods
Lecture 10 - Methods for Ordinary Differential Equations
Lecture 11 - Multistep Methods
Lecture 12 - Large Timestep Issues
Lecture 13 - Digital Systems Verification
 

This course provides an introduction to medical robotics and its applications. It covers recent developments in robotics for medical applications, position and orientation (POSE) of a robotic system, the kinematics of arm-type and vehicle-type robots, the trajectory of an arm-type robot end effector, and the different biomedical system controls.

This course provides individual research training for students in the Junior Year Engineering Program through the experience of belonging to a specific laboratory at Tohoku University. Students are assigned to a laboratory with the consent of the faculty member in charge. They participate in various group activities, including seminars, for the purposes of training in research methods and developing teamwork skills. The specific topic studied depends on the instructor in charge of the laboratory to which each student is assigned. The methods of assessment vary with the student's project and laboratory instructor. Students submit an abstract concerning the results of their individual research each semester and present the results near the end of this program.

This course offers an introduction to analog electronics. Topics include: transistor circuits and ASICs; current sources, basic amplifiers, and differential amplifiers; frequency response of amplifier circuits; feedback circuits; operational amplifiers, voltage regulators, and power amplifiers; active first and second order filters; oscillators, VCO, and PLL; pulse circuits.