Forces, moments, and couples; resultants of force systems; equilibrium analysis and free-body diagrams; analysis of forces acting on members of trusses, frames, etc.; shear-force and bending-moment distributions; Coulomb friction; centroids, center of mass, moment of inertia, polar moment of inertia, and product of inertia; virtual work; hydrostatic pressure; applications of statics in design. Credit is not given for both TAM 211 and TAM 210. Prerequisite: PHYS 211; credit or concurrent registration in MATH 241.

Survey of statistical concepts, data analysis, designed and observational studies and statistical models. Statistical computing using a statistical package such as R or a spreadsheet. Topics to be covered include data summary and visualization, study design, elementary probability, categorical data, comparative experiments, multiple linear regression, analysis of variance, statistical inferences and model diagnostics. May be taken as a first statistics course for quantitatively oriented students, or as a second course to follow a basic concepts course.

The objective of this course is to provide the students the basic knowledge of the statistical language R. Then they can use R to solve some specific economics or financial problem. We’ll cover R’s functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You will learn a powerful interface of R which is called “R Markdown”. We will also introduce how to apply general programming features like “if-else,” and “for loop” commands, and how to wrangle, analyze and visualize data.

Various phenomena in real life, which assume some degree of uncertainty, can be described by abstract mathematical models from the Probability Theory. Statistics provides certain tools, which enable us to to say something about the underlying mathematical model based on the data that has been observed.

Introduction to mathematical statistics that develops probability as needed; includes the calculus of probability, random variables, expectation, distribution functions, central limit theorem, point estimation, confidence intervals, and hypothesis testing. Offers a basic one-term introduction to statistics and also prepares students for STAT 410. Same as MATH 463. 4 undergraduate hours. 4 graduate hours. Prerequisite: MATH 241 or equivalent. Students must register for one discussion and one lecture section.

Introduction to the design of metal structures; behavior of members and their connections; theoretical, experimental, and practical bases for proportioning members and their connections. 3 undergraduate hours. No graduate credit. Prerequisite: CEE 360.

This course provides a detailed introduction to the biology of stem cell and regenerative medicine. The topics include stem cell types and sources (embryonic stem cell, tissue stem cell and iPS cell), stem cell self-renewal and differentiation, stem cell niche. We will also cover main aspects of regenerative medicine, especially the novel strategies to regenerate cell and organ,biomaterial and bionanotechnology. Another theme of this course is cancer biology, focusing on cancer initiation and metastasis, cancer stem cell and tumor heterogeneity, cancer therapy and drug resistance.

Stem Cells and Regenerative Medicine 4 will be a 20 credit, semester 1-only, SCQF level 10 course that will begin in academic year 2019-20. The new course will be an elective course for students on the ZJE Integrative Biomedical Sciences degree programme.This course provides a detailed introduction to the biology of stem cells, including stem cell types and sources, self-renewal, differentiation and lineage commitment.

This course provides students with basic concepts and tools in stochastic modeling and relative applications. Topics include: introductive probability theory, Markov chains, random walks, Poisson processes, continuous time Markov chains, and renewal processes. Emphasis is on understanding when and how to apply appropriate stochastic models. Discussions on ethical issues are integrated throughout the course. This course will enhance skills in critical thinking, as well as oral and written communication. Techniques learned in this course can be immediately put to use by the student.

Strategy is concerned with the long-term success of defining an organization’s direction and scope to gain competitive advantage. Strategic management has been developed to help top managers make better strategic decisions with concepts and tools. This course which combines a high standard of academic rigor with a practical approach will help you to understand, in depth, the whole process of strategic management.