English

‘'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. 

This course examines human experience as a source of truth, knowledge, and belief about war. Representations of human experiences of war play a significant role in human culture and society, often defining social memories and collective understandings of war. As such, this course examines how human experience is transmitted and interpreted via historical sources as well as cultural objects such as films, novels, and video games. It also engages students with key social, political, and moral arguments about the representation of war experience in the media, museums, monuments, and commemoration rituals. 

This course examines a broad range of both poetic genres and poetic styles. It covers poetry by a diverse variety of historic literati (from the 1800s to the 2010s), with emphasis on modern trends in current poetics.

This course explores the diverse roles that money and finance have played across time and space, and the roles that we want them to play. Students explore debates about debt and democracy – from geographies of offshore tax and state financing, to the use of financial assets and property investment as the basis for social welfare. Students consider geographies of finance and development, including inequalities and inclusion in the global north, efforts to create more ethical and postcolonial approaches to finance, and the rapidly changing landscape of fintech. Themes may vary.

In this course, students are exposed to contemporary research on variation in a diverse range of languages, and are expected to engage with research covering some of the following topics: complex linguistic data from a range of languages (not solely English); diachronic processes of change and the social factors involved in them; patterns of synchronic, inter-dialectal variation in specific present-day languages; language-internal and language-external factors affecting variation; sound change and phonetic variation; patterns of variation and change affecting morphosyntax; and empirical methodologies including experimental research and statistical analysis techniques.

This course presents an advanced treatment of econometric principles for cross-sectional, panel and time-series data sets. While concentrating on linear models, some non-linear cases are also discussed, notably limited dependent variable models and generalized methods of moments. The course focuses on modern econometric techniques, addressing both technical derivations and practical applications. Applications in the areas of microeconomics, macroeconomics, and finance are considered.

This course covers keystone technologies from bioweapons to killer robots to provide insight into pressing political questions such as: What role does technology play in warfare and in international security? How have the tools of war changed – and what do those changes mean for the laws, norms, ethics, conduct, and strategy of conflict? How can we combat the national and international security risks of emerging technologies?

Psychoanalysis is a highly influential and contested form of 20th century discourse. This course introduces students to key Freudian and post-Freudian psychoanalytic concepts and perspectives. By bringing these into dialogue with a wide range of literary texts, it encourages students to consider how issues of unconscious motivation, sexuality, and madness operate in and around different forms of writing. It serves as a starting point for students to engage with existing psychoanalytic literary theory but emphasizes the close reading of foundational texts alongside literary works with the hope of generating new, mutually informed readings of both psychoanalysis and literature.

This course explores the changing relationships between health, lifestyles, and the city in both historical and contemporary contexts across the Global North and South. Focusing on a wide range of case studies, the course will critically examine the emergence of the idea of "lifestyle" as an explicit public health concern and, in addition, an object of geographic analysis. The creation of lifestyle as a problem to be addressed comes as part of a wider acknowledgement of the capacity of certain features of urban landscapes to perpetuate the risk of certain "lifestyle" conditions such as obesity that result from an amalgam of factors including sedentary behavior and poor diets, perpetuated by the risks presented by the places in which people live, work, travel, and play. 

This course provides a general introduction to computer vision. Major topics include image processing, detection and recognition, geometry, video analysis, and deep learning. Students learn basic concepts of computer vision as well as hands on experience to solve real-life vision problems. Students learn basic algorithms of computer vision, learn deep learning based computer vision algorithms, and apply learned methods for practical applications.

Prerequisites: Calculus, Linear algebra, Probability