English

This course consists of a survey and understanding of contemporary theories of justice. It engages with key texts as well as contemporary cases that reveal the key concepts and stakes of theorizing and practicing justice. Perspectives of Utilitarianism, Political Liberalism, Libertarianism, Communitarianism, Liberal Egalitarianism, Multiculturalism, Republicanism, and Feminism are covered. Students learn diverse approaches to justice and their theoretical foundations; learn how to analyze, understand, and critique contemporary political life through the lens of theories of justice and learn how to analytically and critically write argumentative essays on the topic of justice.

This course examines how art functions as collective expression of cultures, nations, and communities across history, and develops skills in visual literacy and analysis; image-based communication; and the psychology of visual perception.

This course explores major operations management techniques and how they are used to formulate competitive operations strategies. In addition, students are required to discuss how these operational strategies are applied to real-world problems. Through these discussions, students learn about various decision-making challenges that businesses face and how to address them using data-driven operational strategies. Topics include Review of EOQ Model, Review of Newsvendor Model, Applications of Newsvendor Model, Forecasting, Operations Optimization, Overview of Data Analytics, Descriptive Analytics, Review of Predictive Analytics, and Case Study in Operations and Application of Analytics Techniques.

Prerequisites: Production and Operations Management.

This course covers a range of areas within human biological sciences. The molecular, cellular, organ, and systems-based processes that link form and function are studied to provide an integrated overview. The course helps students consolidate and develop the skills required in human biology including in vitro and in vivo techniques, results analysis and presentation, interpretation of data, and statistics. 

This course offers a comprehensive exploration of scientific computing, covering essential topics crucial for solving mathematical problems encountered in scientific and engineering fields. Beginning with an introduction to the fundamentals of numerical methods, including error analysis and computational complexity, students explore solving systems of linear equations using various techniques such as direct and iterative methods. The course further aims to eigenvalue computation methods and approaches for solving nonlinear equations. Interpolation techniques for approximating functions from discrete data points are also covered in detail. Through hands-on exercises and computational assignments, students develop practical skills in numerical analysis, enabling them to tackle diverse mathematical challenges in scientific computing effectively.

Humans are a vital component of secure and private systems, they are also one of the most expensive components and the most challenging to reason about. In this course, students learn about how to create systems that are usable while still fulfilling their primary security or privacy mission. Students also learn about research topics such as designing user studies to critically evaluate interfaces and reading academic papers to create an academically-informed view of the topic.

We will cover the basic concepts in modern cryptography. The contents include one-way functions, encryption, pseudorandomness, digital signature, interactive protocols, zero-knowledge proofs, multiparty computation, homomorphic encryption, and program obfuscation.

Educational psychology is an advanced freshman/sophomore-level course in the field of education. It is the study of classroom learning and teaching. This course provides an introduction to the concepts and theories of educational psychology and explains how they can be applied to actual situations. Topics include characteristics of learners, principles of learning, and principles of teaching. This course aims to construct students’ general knowledge and skills on learning and teaching activities, and to demonstrate the practical educational implications derived from each theory. It is expected that students will be able to become efficient learners in their future study.

This course examines major theories and current research in branding and managing products. It addresses building and measuring brand equity and aims to improve brand-related decisions. Specific topics include brand equity, brand positioning, brand marketing programs and measuring brand performance.

The course introduces the broad field of Health Technology Assessment (HTA). HTA is a collection of methodologies used to make evidenced-based assessment of the value added by new technologies to inform policy and decision making. The course introduces the full life-cycle of a new medical technology from the perspective of a device inventor and a government regulator, including safety regulations. It covers methodologies including systematic reviewing, decision theory, evidence synthesis, health economics, and the overall methodology used for HTA in practice.