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This course aims to further develop students' communication skills on daily topics of general interests. It enhances students' socio-cultural awareness and enables them to communicate meaningfully in appropriate manner using more complex grammar structures including passive forms, embedded questions, and a limited set of polite expressions. Approximately 150 kanji will be introduced, and students will be able to write short coherent texts and understand various types of texts including some formal ones.
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This course examines works of fiction that explain or dismiss the supernatural. Topics include David Hume’s infamous and controversial take on miracles, Sigmund Freud’s “uncanny,” Tzvetan Todorov’s “fantastic,” Alejo Carpentier’s idea of the “marvelous real,” etc. The course focuses on the historical ways of thinking about certain texts and a terminology for doing so, exploring the tension between what is real and unreal, what is natural and supernatural, in a variety of ways: for the readerly pleasures of terror and suspense; as allegories of personal or political or social trauma; as problematic racist and misogynistic symbols of feared “otherness”; and also as a site from which oppressed and marginalized communities can resist.
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This course introduces students to political sociology which is broadly concerned with understanding such phenomena as power, state and society relations, and the nature and consequences of social conflict. The main topics are issues pertaining to modern society and capitalist development, referring to diverse cases from Western Europe to Southeast Asia. Students also examine the state, civil society and societal movements, including that of labor, and such contentious contemporary issues as economic globalization, US global hegemony, and terrorism.
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This course builds on Stochastic Processes I and introduces an array of stochastic models with biomedical and other real world applications. Topics include Poisson process, compound Poisson process, marked Poisson process, point process, epidemic models, continuous time Markov chain, birth and death processes, martingale. The course requires students to take prerequisites.
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This course provides the necessary background and experience in data science technology and concepts. Students gain experience tackling a complete data science project, from data gathering and pre-processing to data analysis through machine learning tools. Students apply fundamental concepts in machine learning to data storage and distributed processing as a foundation for their project.
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This upper division course applies concepts in symbolic methods and analysis to solve a variety of problems in combinatorics. Course content includes: 1. Combinatorial Structures and Ordinary Generating Functions: symbolic enumeration methods, integer compositions and partitions, words and regular languages, tree structures 2. Labelled Structures and Exponential Generating Functions: labelled classes, surjections, set partitions, words, alignments, permutations, labelled trees, mapping and graphs 3. Complex Analysis, Rational and Meromorphic Asymptotics: generating functions as analytic objects, analytic functions and meromorphic functions, singularities and exponential growth of coefficients 4. Singularity Analysis of Generating Functions: coefficient asymptotics, process of singularity analysis. The course requires students to take prerequisites.
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This course equips students with the basic concepts and problem solving skills for analyzing objects moving close to the speed of light and particles exhibiting quantum behavior. Students gain physical insights and analytical skills for studying relativistic problems and quantum systems. The course content includes: 1.Foundation (FND): a. Wave properties b. Speed of Light c. Superposition, Diffraction and Interference d. Atoms and subatomic particles 2. Special Relativity (SR) a. Frames of Reference and Galilean Transformation b. Postulates of Special Relativity and Lorentz Transformation c. Length Contraction and Time Dilation d. Minkowski’s Space-time diagrams e. Resolving Paradoxes f. Relativistic Momentum, Kinetic Energy and Energy 3. Basic Nuclear Physics (BNP) a. Radioactive particles ( b. Nuclear Fission and Fusion c. Radioactivity d. Mass-Energy Equivalence e. Medical application and Dosage 4.Quantum Physics (QP) a. Blackbody Radiation b. Quantization of Physical Quantities c. Photoelectric Effect d. Compton Scattering and wavelength e. Pair Production/Annihilation f. Double Slit Experiment g. Davidsson-Germer Experiment h. Wave-Particle Duality i. Hydrogen Atom (Bohr’s Model & Atomic Spectra) 5.Basic Quantum Mechanics (BQM) a. Eigenvalues, Eigenfunctions and Operators b. Two level systems c. Schrodinger’s Equation and Wave function d. Probability (Density) e. Infinite and Finite Potential Well (Particle in a Box) f. Quantum Harmonic Oscillator g. Potential Barrier/Step h. Expectation Value and Uncertainty i. Heisenberg’s Uncertainty Principle j. Commuting Operators k. Hydrogen Atom l. Quantum Numbers, Degeneracy
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This course addresses the design and performance tuning of database applications, focusing on relational database applications implemented with relational database management systems. Topics covered include normalization theory (functional, multi-valued and join dependency, normal forms, decomposition and synthesis methods), entity relationship approach and SQL tuning (performance evaluation, execution plan verification, indexing, de-normalization, code level and transactions tuning). Additional selected topics include the technologies, design and performance tuning of non-relational database applications (for instance, network and hierarchical models and nested relational model for an historical perspective, as well as XML and NoSQL systems for a modern perspective). The course requires students to take prerequisites.
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This course introduces the storyboard as a thinking tool, through which creative ideas are developed and given detail. Students learn to employ artistic tools like framing, camera movement, character movement and key visuals within the larger structure of the entire narrative. Topics include the role of the storyboard within the animation pipeline and its relevance to concept development, script development, animatics and production design. The course focuses on the aspects of animation production design that support the dramatic impact of the story. Further insight will be gained into the connection between visual development and storyboard through exercises and assignments on character design, environment and prop design.
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In this upper division course, students acquire skills and techniques to be effective as a film and media producer. The course covers creative producer's responsibilities, including working in various genres and formats, working with talent, creating a joint vision, pitching, managing a budget and shooting schedule, and developing a marketing and release strategy. This course is only open to third year students and above.
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