English

This course introduces students to the world economic dimension of the Korean economy, especially focusing on its trade, investment, and financial transactions with major partners. Students learn the basic theories of microeconomics and macroeconomics, and how these theories are applied to reality using Korean examples. The course also pays special attention to Korea’s involvement with diverse international economic institutions, such as the OECD, APEC, and the WTO, etc.  

Students gain basic knowledge of the process of Korea’s economic development, where the country’s interactions with the world economy have played a decisive role  The course is designed to be an interactive course, so that students must be prepared for class discussion by reading relevant materials and documents provided. Frequently documents from the WTO and OECD, as well as other international organizations will serve as basic readings. 

This course examines a range of issues, debates and understandings of human sexuality from a primarily social psychological perspective. 

This course introduces machine learning for Artificial Intelligence system design and implementation. Upon successful completion of this course, students should be able to explain the concepts of different machine learning models used in civil and environmental engineering areas; identify proper machine learning models and learning techniques for regression and classification tasks; apply machine learning models to generate useful information from raw data; evaluate outcomes of machine learning models based on evidence-based judgments; and create a machine learning model to generate useful information from raw data. 

Prerequisite: ENG1108 - ENGINEERING INFORMATION PROCESSING

This course examines the linguistic products of contact between English and other languages, in contexts of colonization and/or globalization. These different "Englishes" can include English creoles, substrate-influenced or "L" Englishes, or dense code-mixing with English. Sometimes these Englishes co-occur, and in addition there are L1 varieties of English which are retained in educational and or formal settings. Students explore the structure of these Englishes; the circumstances that have led to their formation, ideologies of the new varieties and attitudes towards them.

At the end of the course, the student possesses in-depth knowledge of the molecular mechanisms underlying genome editing methodologies in eukaryotic and prokaryotic cells and the main applications in biotechnology. In particular, the student is able to: 1) analyze and discuss topics concerning the basic mechanisms and applications of these methodologies; 2) understand and critically analyze the biomolecular literature.

This course covers: basic concepts concerning nucleic acids in the cell; chemical structure of nucleic acids; physical structures of DNA and RNA molecules; genetic code, genes and genomes; physical structure of genetic material: bacterial chromosomes (chromatin), eukaryotic chromatin, higher order chromatin structures; DNA recombination; the biological role of homologous recombination; molecular mechanisms of homologous recombination in bacterial cells and in eukaryotic cells; non-homologous recombination; site-specific recombination; mechanisms of DNA repair; types of DNA lesions; pathways and mechanisms of DNA repair: DNA photolyase, Nucleotide Excision Repair, Base Excision Repair, Mismatch Repair; repair mechanisms of DNA double-strand breaks: Nonhomologous end-joining and homologous recombination repair; conventional approaches used for genome-editing: homologous recombination, chemical methods and approaches based on homing endonucleases; genome-editing approaches based on modern methodologies using sequence-specific all-protein nucleases: mega-nucleases, zinc-finger nucleases (ZFNs) and Transcription Activator-Like Effector Nucleases (TALENs); and genome-editing approaches based on methodologies using RNA-guided nucleases: Clustered regularly interspaced short palindromic repeats (CRISPR-CAS systems).

The course includes an individual laboratory activity where the CRISPR-Cas9 system is used to specifically target and cleave a gene sequence of interest. The aim is to evaluate how introduced mutations affect target recognition and cleavage efficiency by the endonuclease.

This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrollment is by permission of the instructor. This course is a problem-based introduction to probability and stochastic processes. No previous knowledge of probability is assumed, but knowledge of calculus in one or more variables is required.

The course is divided into 6 parts:

1. Axiomatic definition of probability. Uniform probability spaces. Counting methods: replacement, ordering. Conditional probability. Independence for events. The law of total probability. Bayes' rule.
2. Discrete random variables. Independence for random variables. Joint, marginal, and conditional densities. Common random variables and their interpretation: Bernoulli, discrete uniform, binomial, hypergeometric, geometric, Poisson, Pascal.
3. Expectation of discrete random variables. Variance and its properties. Expectation and variance of common random variables. Covariance and correlation. Variance of a sum. Null correlation and independence. Linear prediction.
4. Conditional expectation and its properties. Conditional Variance. Sigma-algebras, Continuous Random variables. The Uniform and Exponential distributions. Distribution functions and densities.
5. Marginal, joint and conditional densities. Gamma, Normal and Cauchy distribution. Derived Distributions: monotonic and general case. Conditional Expectation. Law of total expectation. Markov and Chebishev Inequalities.
6. Convergence of Random Variables. The Weak and Strong Laws of Large Numbers. Characteristic Functions and their properties. CF of a sum. CF of common random variables. The Central Limit Theorem.

At the end of the course the student has good knowledge of probability theory of discrete and continuous random variables. Particular attention is paid to the theory of stochastic processes, both diffusive and with jumps. The student masters the main techniques of stochastic calculus applied to finance, such as stochastic differential and integral domain and change of measure techniques.

Nowadays Cloud Computing is everywhere. Cloud Computing (CC) is not a revolution of Information technology (IT), but It is one of the key evolution steps of IT. It is computing as a utility, which has recently emerged as a commercial reality. The main characteristics of CC are 1) the illusion of infinite computing resources, 2) the ability to pay-as-you-go, and 3) the elimination of an up-front commitment by Cloud users. In other words, CC is a style of computing which can be scaled dynamically, and virtualized resources are provided as a service over the Network. The key idea behind this course is to provide fundamental CC topics taking into account both technology and business considerations. The course is divided into a series of lectures, each of which is accompanied by one or more hands-on exercises. Some of the topics covered are: Fundamental CC terminology and concepts; CC definition an its specific characteristics; Benefits, Challenges and Risks of CC platforms and Services; Roles of CC administrator and owners; SaaS, PaaS, and IaaS delivery models and their combinations; Various Public, Private, and hybrid CC environments; Business Cost models and Service Level Agreements for CC; Case Studies: Google Cloud, Microsoft Cloud, and Amazon Cloud.

This course covers the politics of development at various geographical scales (urban, national, and international). It also examines how partnerships and negotiations work among various participants who have conflicted, competed, and cooperated throughout the modern history of space/place making. Students learn skills to critically analyze the power relations that exist among different actors involved in development. The course asks “Who governs?” and “Who makes decisions or influences decision-making that leads to the formation of space?” Regarding the influence of decision-making, the course focuses on the politics of policy narratives and environmental discourses. Topics include What is the power in placemaking; Body Politics- Capitalizing, industrializing, and disciplining bodies; Critical Geopolitics; The geopolitics of nuclear weapons and nuclear power; The politics of memory and memory placemaking.  

This course is tailored for undergraduate students majoring in international studies who seek to understand the foundations of international trade law and policy. It offers a comprehensive overview of the global trading system and prepares students for careers in trade-related fields within both business and public sectors. Students learn about key topics such as anti-dumping measures and subsidy/ countervailing duty cases, equipping them with practical skills for the private sector. Additionally, the course introduces the crucial relationship between public policy and law, making it an excellent starting point for those considering advanced studies or a Ph.D. in international trade law and policy. Topics include Non-discrimination: Most-Favored-Nation, Non-discrimination: National Treatment Principles, Tariffs, Quotas and Non-Tariff Barriers, Escape Clauses, Safeguards and Adjustment Policies, Regulation of Dumping, Subsidies in International Trade, Sanitary and Phytosanitary Measure, Technical Barriers to Trade, Trade in Services, and Regional Trading Agreement. 

This class deals with various global historical issues ranging from politics to culture, sometimes using basic IR (International Relations) theories. The course covers such current issues as US foreign policy, Middle Eastern questions, Russian invasion of Ukraine, conflicts in Africa, re-surging nationalism and gender and minority questions from global historical perspectives.