## HUMBIO 89X: Introduction to Probability and Statistics for Epidemiology (HRP 259)

Topics: random variables, expectation, variance, probability distributions, the central limit theorem, sampling theory, hypothesis testing, confidence intervals. Correlation, regression, analysis of variance, and nonparametric tests. Introduction to least squares and maximum likelihood estimation. Emphasis is on medical applications.

Terms: Aut, Sum
| Units: 3
| UG Reqs: WAY-AQR

Instructors:
Sainani, K. (PI)

## HUMBIO 114: Global Change and Emerging Infectious Disease (EARTHSYS 114, EARTHSYS 214, ESS 213)

The changing epidemiological environment. How human-induced environmental changes, such as global warming, deforestation and land-use conversion, urbanization, international commerce, and human migration, are altering the ecology of infectious disease transmission, and promoting their re-emergence as a global public health threat. Case studies of malaria, cholera, hantavirus, plague, and HIV.

Terms: Spr
| Units: 4-5
| UG Reqs: GER:DB-SocSci, WAY-AQR, WAY-SMA

Instructors:
Jones, J. (PI)
;
Openshaw, J. (PI)
;
Anderson, M. (TA)
...
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Instructors:
Jones, J. (PI)
;
Openshaw, J. (PI)
;
Anderson, M. (TA)
;
LeBoa, C. (TA)
;
Ling, E. (TA)
;
Moots, H. (TA)
;
Pendse, R. (TA)
;
Tsai, Y. (TA)
;
Zhou, B. (TA)

## HUMBIO 154B: Principles of Epidemiology

Epidemiology is the study of the distribution and determinants of health and disease in human populations. In this course, students will learn about design, measures of disease occurrence and measures of association between exposures - be they environmental, behavioral or genetic - and health outcomes of interest. Students will also learn about how error, confounding and bias can impact epidemiological results. The course draws on both classic and contemporary research articles, which students will learn to critically appraise. Through lectures, problem sets, written responses to original articles and in-class discussions, students will gain a solid foundation in epidemiology. Upper division course with preference given to upperclassmen.

Terms: Aut
| Units: 3
| UG Reqs: WAY-AQR

Instructors:
Kurina, L. (PI)
;
Buncom, F. (TA)

## HUMBIO 154C: Cancer Epidemiology

Clinical epidemiological methods relevant to human research in cancer will be the focus. The concepts of risk; case control, cohort, and cross-sectional studies; clinical trials; bias; confounding; interaction; screening; and causal inference will be introduced and applied. Social, political, economic, and ethical controversies surrounding cancer screening, prevention, and research will be considered. Human Biology 154 courses can be taken separately or as a series. Prerequisite: Human Biology core or Biology Foundations or equivalent, or instructor consent.

Terms: Win
| Units: 4
| UG Reqs: WAY-AQR

Instructors:
Fisher, P. (PI)
;
Sobba, W. (TA)

## LINGUIST 180: From Languages to Information (CS 124, LINGUIST 280)

Extracting meaning, information, and structure from human language text, speech, web pages, social networks. Introducing methods (string algorithms, edit distance, language modeling, machine learning classifiers, neural embeddings, inverted indices, collaborative filtering, PageRank), applications (chatbots, sentiment analysis, information retrieval, question answering, text classification, social networks, recommender systems), and ethical issues in both. Prerequisites:
CS103,
CS107,
CS109.

Terms: Win
| Units: 3-4
| UG Reqs: WAY-AQR

Instructors:
Jurafsky, D. (PI)
;
Cao, H. (TA)
;
Chen, J. (TA)
...
more instructors for LINGUIST 180 »

Instructors:
Jurafsky, D. (PI)
;
Cao, H. (TA)
;
Chen, J. (TA)
;
Jiang, C. (TA)
;
Kabaghe, C. (TA)
;
Karthik, A. (TA)
;
Khandelwal, U. (TA)
;
Kim, B. (TA)
;
Patel, K. (TA)
;
Reamer, S. (TA)
;
Tan, A. (TA)
;
Zhu, L. (TA)

## MATH 114: Introduction to Scientific Computing (CME 108)

Introduction to Scientific Computing Numerical computation for mathematical, computational, physical sciences and engineering: error analysis, floating-point arithmetic, nonlinear equations, numerical solution of systems of algebraic equations, banded matrices, least squares, unconstrained optimization, polynomial interpolation, numerical differentiation and integration, numerical solution of ordinary differential equations, truncation error, numerical stability for time dependent problems and stiffness. Implementation of numerical methods in MATLAB programming assignments. Prerequisites:
MATH 51, 52, 53; prior programming experience (MATLAB or other language at level of
CS 106A or higher).

Terms: Win, Sum
| Units: 3
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-FR

## MATSCI 158: Soft Matter in Biomedical Devices, Microelectronics, and Everyday Life (BIOE 158)

The relationships between molecular structure, morphology, and the unique physical, chemical, and mechanical behavior of polymers and other types of soft matter are discussed. Topics include methods for preparing synthetic polymers and examination of how enthalpy and entropy determine conformation, solubility, mechanical behavior, microphase separation, crystallinity, glass transitions, elasticity, and linear viscoelasticity. Case studies covering polymers in biomedical devices and microelectronics will be covered. Recommended:
ENGR 50 and
Chem 31A or equivalent.

Terms: Win
| Units: 4
| UG Reqs: WAY-AQR, WAY-SMA

Instructors:
Appel, E. (PI)
;
Maikawa, C. (TA)

## MATSCI 162: X-Ray Diffraction Laboratory (MATSCI 172, PHOTON 172)

Experimental x-ray diffraction techniques for microstructural analysis of materials, emphasizing powder and single-crystal techniques. Diffraction from epitaxial and polycrystalline thin films, multilayers, and amorphorous materials using medium and high resolution configurations. Determination of phase purity, crystallinity, relaxation, stress, and texture in the materials. Advanced experimental x-ray diffraction techniques: reciprocal lattice mapping, reflectivity, and grazing incidence diffraction. Enrollment limited to 20. Undergraduates register for 162 for 4 units; graduates register for 172 for 3 units. Prerequisites:
MATSCI 143 or equivalent course in materials characterization.

Terms: Win
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA

Instructors:
Vailionis, A. (PI)

## MATSCI 190: Organic and Biological Materials (MATSCI 210)

Unique physical and chemical properties of organic materials and their uses. The relationship between structure and physical properties, and techniques to determine chemical structure and molecular ordering. Examples include liquid crystals, dendrimers, carbon nanotubes, hydrogels, and biopolymers such as lipids, protein, and DNA. Prerequisite: Thermodynamics and
ENGR 50 or equivalent. Undergraduates register for 190 for 4 units; graduates register for 210 for 3 units.

Terms: Spr
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA

## MATSCI 192: Materials Chemistry (MATSCI 202)

An introduction to the fundamental physical chemical principles underlying materials properties. Beginning from basic quantum chemistry, students will learn how the electronic configuration of molecules and solids impacts their structure, stability/reactivity, and spectra. Topics for the course include molecular symmetry, molecular orbital theory, solid-state chemistry, coordination compounds, and nanomaterials chemistry. Using both classroom lectures and journal discussions, students will gain an understanding of and be well-positioned to contribute to the frontiers of materials chemistry, ranging from solar-fuel generation to next-generation cancer treatments. Undergraduates register in 192 for 4 units; graduates register in 202 for 3 units.

Terms: Win
| Units: 3-4
| UG Reqs: GER:DB-EngrAppSci, WAY-AQR, WAY-SMA

Instructors:
Spakowitz, A. (PI)
;
Davis, K. (TA)

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