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Browse featured courses offered in Fall 2023:Computer Science 1
This course is an introduction to the discipline of computer science and aims to equip students with the skills necessary to solve computational problems using a high-level programming language. Students will develop their algorithm design abilities and implement their ideas using fundamental programming constructs such as loops, branching statements and functions, and abstract data types […]
Algorithm
The course Algorithm aims to provide students with techniques to design an algorithm, prove its correctness, and analyze its efficiency. For algorithm design, three common techniques (divide-and-conquer, greedy, and dynamic programming) are introduced and illustrated by common problems in practice. For algorithm correctness proof, the students will learn how to use loop variants and mathematical […]
Computer Organization
Computing systems, such as mobile phones, laptops or personal computers, have been an important parts of human beings’ everyday life. For example, computer scientists, programmers and engineers use computing systems in many of their every tasks. In principle, understanding of what is going on beyond the statements in high-level programming languages such as Python, Java, […]
Data Science
The course Machine Learning for Data Science aims at providing students with a basic understanding of the principles of machine learning algorithms and deriving practical solutions using predictive analytics. The course demonstrates mathematical concepts and hands-on skills required for the algorithms that are typically used in practice. The students will be able to apply concepts […]
Network and Computer Security
This course is a comprehensive study of the security principles and practices for network and computer systems . Topics to be covered include basic security concepts, common attacking techniques, basic cryptographic tools and secure protocols. Defense techniques such as authentication, access control and network intrusion detection will also be discussed. An introduction to networking technologies […]
Introduction to Machine Learning
Machine learning is concerned with the question of how to construct programs that automatically improve their performance through experience. This course introduces the principles underlying the design of existing supervised and unsupervised machine learning algorithms. Topics to be covered include the following: 1. Supervised learning models and methods: Decision trees, neural networks, nearest-neighbor algorithms, Bayesian […]
Advanced Programming Techniques
The main purpose of this course is to provide the most fundamental knowledge to the students so that they can program on the framework of deep learning. Those students who become interested in deep learning may go on to graduate schools for further study. This course helps students understand the capabilities, challenges, and consequences of […]
Principles of Economics 2
This course engages with questions related to the economy as a whole. It starts with the analysis of the structure and operation of the goods, financial, and labor markets. The interaction between these markets is analyzed using the IS_LM ad AS-AD models/ We discuss the topics of inflation capital accumulation and the aggregate production function […]
Econometrics
This course introduces students to the fundamental intuitions of causal inference and the associated econometrics toolkit. Students will develop their abilities to understand causal relationships and evaluate such relationships between economic variables using data and econometric software. Illustrative examples from policymaking, business, academic research, and daily life will inform and motivate theoretical questions in the […]
Economics of Inequality (NEW)
This is an advanced course covering the key issues of economic inequality. This course is reading- and writing-intensive and is organized as a series of discussions. This course focuses on two main aspects: (i) the analysis of economic inequalities and (ii) the interaction between inequality and economic development. It will address the following questions from […]
Behavioural and Experimental Economics (NEW)
In this course, students will explore economic and psychological theories of decision making by analyzing experiments in which they are the subjects. Topics will address various biases and forms of bounded rationality as they relate to issues in business, policy, and everyday life. This reading and writing intensive course will allow students to develop their […]
Psychology Experiential Learning Program
The purpose of this course is to provide students Majoring in Psychology with a supervised, professional level service and work experience. Students undertake an intentional and structured experiential learning experience in a way that mutually benefits the student-intern and the agency or placement site. Students apply, from their academic knowledge in the classroom, foundational knowledge […]
