Capstone Workshop in Applied Earth Syste

Capstone: Earth Systems P

This capstone workshop serves as the culminating experience for students in the MPA in Environmental Science and Policy. Working in teams, students conduct applied policy analysis on real-world environmental and sustainability challenges for public and nonprofit sector clients. Project topics are selected to reflect current global and domestic policy needs, with recent clients including The Nature Conservancy, the World Bank, the Wildlife Conservation Society, and philanthropic initiatives supporting sustainable workforce housing.

Under faculty supervision, students develop project control plans, conduct fieldwork and stakeholder interviews, analyze data, and prepare professional-quality final reports and briefings for clients. The workshop emphasizes practical experience with multidisciplinary policy design and implementation, stakeholder engagement, and collaborative project management. Students sharpen their research, writing, and communication skills while contributing to actionable policy solutions.

• Department: MPA-ENVIRONMENTAL SCIENCE POL
• W 10 a.m.-11:50 a.m.
• Instructor: Julia R Farber
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• Instructor: Anne L Degnan
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• Instructor: Rachel E Patterson
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• Instructor: Steven Cohen
  CULPA: 1 Wikipedia h-index: 21 Info
• 5 points

Human Ecology & Sustainable Development

Human Ecology & Sustain D

This course has two primary objectives: first, to provide a structured way to think about—and conduct research in—the field of sustainable development. Second, to introduce formal models of dynamic, coupled human and environmental systems.

• Department: PHD-SUSTAINABLE DEVELOPMENT
• R 3:10 p.m.-5 p.m.
• Instructor: Jeffrey G Jr Shrader
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• 4 points

Environment & Resource Economics

This course aims to introduce you to the basic concepts of environmental economics.

• Department: PHD-SUSTAINABLE DEVELOPMENT
• F 1:10 p.m.-3 p.m.
• Instructor: Douglas V Almond
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• 3 points

EARTH & ENVIRONMENTAL COLLOQ

All graduate students are required to attend the departmental colloquium as long as they are in residence. Advanced doctoral students may be excused after three years of residence. No degree credit is granted.

• Department: Earth and Environmental Engineering
• R 10:10 a.m.-11:25 a.m.
• Instructor: Oscar Nordness
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• 0 points

Capstone: Critical Thinking and Analysis

CRITICAL THINK/ANALYSIS I

Critical Thinking and Analysis in Environmental Health Sciences is a culminating experience for EHS students in which they will synthesize the knowledge and experiences they have gained in their MPH core, department specialization and certificate coursework. The primary objective of this course is to enable students to critically examine and analyze a body of scientific knowledge and to effectively communicate such knowledge to lay and scientific audiences. An interactive, highly participatory experience, it typically focuses, in depth, on one or two topics within the field of Environmental Health Science that are of current national and international interest and represent a major human public health concern. The Capstone course will reinforce fundamental concepts acquired through prior departmental and certificate based coursework related to the underlying scientific basis of human health concerns arising from environmental exposure. The pedagogical approach of this course will utilize a combination of outside reading, didactic instruction, engaging class discussion and team-based learning. Students will be required to critically evaluate current knowledge and present, both orally and in writing, the broad outlines and specific aims of a research proposal to address critical gaps in understanding. At the completion of this course, students are expected to be able to critically evaluate and assess scientific evidence as well as successfully conceptualize, create and defend a research proposal. The ability to communicate research concepts and clear, cogent and well thought out research proposals, either orally and written, are essential for many students preparing entry into the workforce, whether in government service, profit or non-profit corporations, academia, scientific research, policy and planning, administration or regulatory affairs. Graduating EHS MPH students are expected to have considerable facility in public speaking skills, interpretation of scientific literature, critical thinking and analysis of published research findings. Each semester, in consultation with the class, a relevant and timely topic is selected to examine in depth. Creation of a NIEHS-style grant application concerning a previously unaddressed topic is an important component of this class.

• Department: Environmental Health Sciences
• W 8:30 a.m.-11:20 a.m.
• Instructor: Greg A Freyer
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• 3 points

SEMINAR PROBABILITY THEORY

Departmental colloquium in probability theory.

• Department: Statistics
• F 2:10 p.m.-4:40 p.m.
• Instructor: Ivan Corwin
  CULPA: 1 Wikipedia h-index: 34 Info
• 3 points

SEMINAR IN APPLIED PROB & RISK

A colloquiim in applied probability and risk.

• Department: Statistics
• R 1:10 p.m.-3 p.m.
• Instructor: Graeme Baker
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• 1 points

SEM IN MATHEMATICAL FINANCE

A colloquium on topics in mathematical finance

• Department: Statistics
• R 4:10 p.m.-6:40 p.m.
• 3 points

EARTH/ENVIRONMNTL ENG RESEARCH

Graduate research directed toward solution of a problem in mineral processing or chemical metallurgy

• Department: Earth and Environmental Engineering
• Instructor: Kartik Chandran
  CULPA: 4 Wikipedia h-index: 51 Info
• Instructor: Robert Farrauto
  h-index: 52 Info
• Instructor: Raymond Farinato
  CULPA: 1 Info
• Instructor: Greeshma Gadikota
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• Instructor: Pierre Gentine
  CULPA: 1 h-index: 43 Info
• Instructor: Shaina Kelly
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• Instructor: Vijay Modi
  CULPA: 3 h-index: 40 Info
• Instructor: Dan Steingart
  CULPA: 1 Wikipedia h-index: 36 Info
• Instructor: Bolun Xu
  h-index: 17 Info
• Instructor: Yin Yip Ngai
  h-index: 26 Info
• Instructor: Adeyemi Adeleye
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• Instructor: Oscar Nordness
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• Instructor: Pengbo Chu
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• 0-12 points

(PhD) Finance Pre-Thesis Semin

• Department: Finance
• R 2:20 p.m.-5:35 p.m.
• Instructor: Kairong Xiao
  h-index: 9 Info
• 1.5 points

(PHD) ASSET PRICING II

• Department: Finance
• W 9 a.m.-12:15 p.m.
• Instructor: Simon Oh
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• 1.5 points

(PhD)Fincl Econometrics I

(PhD)Fncl Ecnmtrcs Time S

• Department: Finance
• T 9 a.m.-12:15 p.m.
• Instructor: Geert Bekaert
  CULPA: 1 Wikipedia h-index: 75 Info
• 1.5 points

(PhD) Financial Econometrics: Panel Data

(PhD) Financl Econ: Panel

• Department: Finance
• T 2:20 p.m.-5:35 p.m.
• Instructor: Xavier Giroud
  h-index: 15 Info
• 1.5 points

Empirical Corporate Finance

• Department: Finance
• T 9 a.m.-12:15 p.m.
• Instructor: Xavier Giroud
  h-index: 15 Info
• 3 points

Market Microstructure: How Trading Works

• Department: Finance
• W 6 p.m.-9:15 p.m.
• Instructor: Or Shachar
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• 1.5 points

Empirical Asset Pricing I

• Department: Finance
• T 9 a.m.-12:15 p.m.
• Instructor: Geert Bekaert
  CULPA: 1 Wikipedia h-index: 75 Info
• 1.5 points

Big Data In Finance

• Department: Finance
• F 9 a.m.-12:15 p.m.
• 3 points

Environmental Health Data Science APEx S

EHSC APEx Seminar

The Environmental Health Data Science APEx Seminar is a required course for students in the Environmental Health Data Science Master Program, in which students develop, present, and refine their Applied Practice Experience (APEx) projects. Students will learn to formulate clear research questions, design feasible and rigorous analytic approaches, and communicate the public health significance of their work. The course is organized around student presentations, peer feedback, and guided discussions. Emphasis is placed on iterative improvement through structured feedback. Student performance will be evaluated based on the quality of presentations and engagement in class discussions.

• Department: Environmental Health Sciences
• R 11:30 a.m.-12:30 p.m.
• Instructor: Sen Pei
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• 0 points

Text Data in Finance

• Department: Finance
• F 2:20 p.m.-5:35 p.m.
• Instructor: Harry Mamaysky
  h-index: 15 Info
• 1.5 points

Introduction to the Quantitative Investm

Intro Quant Investment Pr

• Department: Finance
• T 2:20 p.m.-5:35 p.m.
• Instructor: Michael Urias
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• 1.5 points

Master's Essay Research I

MASTERS ESSAY RESEARCH I

• Department: Environmental Health Sciences
• Instructor: Nina Kulacki
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• 0-6 points

Master's Essay Research II

MASTERS ESSAY RESEARCH II

The Master's Essay is one of the two options the Department of Environmental Health Sciences (EHS) offers to satisfy the capstone requirement for students in all tracks of the MPH program. The Essay is intended to reflect the training students received in the MPH program and demonstrate their ability to design, analyze, research and present scholarly writing relevant to his or her major field of interest.
Writing the Essay is an essential experience that could further the career development and or provide a jumping off point for students interested in further academic studies. Employers often seek employees with a MPH degree that have the ability to write articles and reports, and want to see evidence that they can design studies, analyze data, and write scientific papers. For students who plan to continue their academic studies, expanding expertise and demonstrating abilities as a writer are critical skills required of doctoral candidates. A well-written Essay is a great asset that a candidate can bring to a job interview or include in an application for graduate study. The Essay ought to demonstrate one's ability to think clearly and convey his or her thoughts effectively; thereby provide an example of one's understanding and insight into a substantive area in which he or she has developed expertise.

• Department: Environmental Health Sciences
• Instructor: Nina Kulacki
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• 0-6 points

Journal Club in Environmental Health Sci

JOURNAL CLUB IN ENVIR HEA

• Department: Environmental Health Sciences
• M 1 p.m.-2 p.m.
• Instructor: Ami R Zota
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• 1 points

Advanced GIS and Spatial Analysis

ADVANCED GIS AND SPATIAL

This course builds upon foundational GIS and spatial analysis concepts and skills built in the introductory GIS course through the application of advanced spatial statistical modeling procedures. Students in the course will learn how it integrate GIS with statistical programming tools as a way to extend the utility of the GIS beyond a tool for mapping. Topics covered include 1) Graphical and quantitative description of spatial data, 2) Kriging, block kriging and cokriging, 3) Common variogram models, 4) Spatial autoregressive models, estimation and testing, 5) Spatial non-stationarity and associated modeling procedures and 6) Spatial sampling procedures. Students will complete a series of in-class labs and develop a final research project from these labs or an independent project.

• Department: Environmental Health Sciences
• W 5:30 p.m.-8:20 p.m.
• Instructor: Joel Capellan
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• 3 points

DOCTORAL RESEARCH IN ENVIRONMENTAL HLTH

• Department: Environmental Health Sciences
• Instructor: Nina Kulacki
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• 3-12 points

MS Finance Thesis

• Department: Finance
• M 9 a.m.-12:15 p.m.
• Instructor: Yin Luo
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• 3 points

MASTERS RESEARCH

Prescribed for M.S. candidates; elective for others with the approval of the Department. Degree candidates are to conduct an investigation of some problem in chemical engineering. No more than 6 points in this course may be counted for graduate credit.

• Department: Chemical Engineering
• Instructor: Scott Banta
  CULPA: 1 h-index: 36 Info
• Instructor: Kyle Bishop
  h-index: 42 Info
• Instructor: Christopher M Boyce
  h-index: 17 Info
• Instructor: Juliana Silva Alves Carneiro
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• Instructor: Christopher S Chen
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• Instructor: Christopher J Durning
  CULPA: 3 Info
• Instructor: Daniel Esposito
  h-index: 22 Info
• Instructor: Oleg Gang
  h-index: 45 Info
• Instructor: Jingyue Ju
  h-index: 77 Info
• Instructor: Sanat Kumar
  CULPA: 4 h-index: 79 Info
• Instructor: Lauren E Marbella
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• Instructor: Vivian F McNeill
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• Instructor: Allie Obermeyer
  h-index: 16 Info
• Instructor: Ben O'Shaughnessy
  CULPA: 3 Info
• Instructor: Dan Steingart
  CULPA: 1 Wikipedia h-index: 36 Info
• Instructor: Alexander Urban
  h-index: 24 Info
• Instructor: Venkat Venkatasubramanian
  h-index: 58 Info
• Instructor: Alan West
  CULPA: 3 h-index: 48 Info
• Instructor: Asher Williams
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• Instructor: Neil D Dolinski
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• 1-6 points

EPI IV: CRIT THINKING IN EPI

• Department: Epidemiology
• W 8:30 a.m.-11:20 a.m.
• Instructor: Pam R Factor-Litvak
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• 3 points

EPI IV:CRITICAL THINKNG IN EPI

• Department: ONLINE MS IN EPIDEMIOLOGY
• U 9 a.m.-5 p.m.
• Instructor: Moise Desvarieux
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• 3 points

Epidemiologic Challenges in Substance Us

EPID CHALLENGES IN SUBSTA

How can epidemiologic methods be used to address challenges in substance use research and ultimately reduce the health burden related to substance use? Populations that are disproportionately affected by substance use and related health outcomes are often systematically excluded from large study samples. We must examine existing evidence and gaps in epidemiologic research in order to expand our understanding of substance use across communities.
This course will explore methodological challenges that arise in the study of substance use, substance use disorder, and related health outcomes across populations. Lectures will include both substantive and methodological components. Substantive topics of focus include social determinants of health, harm reduction, stigma, overdose prevention, and substance use treatment. A range of populations will be examined across the life course, including people who are involved in the criminal justice system, pregnant women, and sexual minorities. Methodological challenges will be presented in two units. The first unit will discuss epidemiologic issues related to internal and external validity, confounding, information bias, and selection bias in substance use research. The second unit will present analytic approaches to address specific methodological challenges, such as clustering of observations or comparing unbalanced populations. Learners will be able to describe and critique research studies that target the individual, social and/or structural levels that influence substance use across communities. They will also critically examine how substance use research findings are presented in the media. Participation in class discussion, experiential learning activities, and a final project will be used to evaluate progress towards learning objectives.

• Department: Epidemiology
• W 2:30 p.m.-3:50 p.m.
• 3 points

Master's Essay in Epidemiology I

MASTER'S ESSAY IN EPI I

All candidates for the M.P.H. and the M.S. degrees in epidemiology are required to write a master's thesis, usually based on an original analysis of previously collected epidemiologically relevant data. Students are responsible, with assistance from faculty, for finding a dataset and two readers, one of whom must be a faculty member in the Department of Epidemiology. Students register for P9419 at least two semesters before the targeted graduation date and it is required that students obtain access to a dataset they will use for their thesis prior to the course. The course guides students through development of the master’s thesis proposal by reviewing critical elements in writing each element of a thesis, development of a study question, writing specific aims, study design and analysis.

• Department: Epidemiology
• Instructor: Sandra S Albrecht
  h-index: 19 Info
• 1.5 points

Master's Essay in Epidemiology II

MASTER'S ESSAY IN EPI II

This is the second course in a two-course series P9419-P9420 required of all candidates for the M.P.H. and M.S. in epidemiology. This course focuses on the Statistical Analysis, Results and Discussion sections of students' master's theses. Students will work closely with their first and second readers during the semester, but course instructors and teaching assistants will provide guidance on the selection and conduct of statistical analyses, and on transforming their thesis into a format appropriate for submission for publication.

• Department: Epidemiology
• T 4 p.m.-5:20 p.m.
• None None-None
• Instructor: Sandra S Albrecht
  h-index: 19 Info
• 2 points

EXECUTIVE THESIS IN EPI

• Department: ONLINE MS IN EPIDEMIOLOGY
• S 9 a.m.-5 p.m.
• Instructor: Joyce Pressley
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• 3 points

Applying the Causal Roadmap to Single Ti

CAUS RDMP TO SIN TIM & LO

This course will introduce students to the theoretical and practical aspects of applying a “causal roadmap” to research questions in epidemiology using both single timepoint and longitudinal data. A causal roadmap approach to empirical investigation is intended to strengthen transparency and clarity in the research process and typically consists of several steps including: 1) formulating a research question, 2) translating it into a causal quantity, 3) listing the assumptions required to identify this causal quantity from the data, 4) choosing an estimation approach, and 5) doing the analysis. We will learn single timepoint and longitudinal g-computation/ standardization, inverse-probability-of-treatment weighting (IPTW), and doubly robust estimation approaches (e.g., targeted minimum loss-based estimation (TMLE)). The final class will include integrating machine learning into the estimation approach. Each module will include hands-on exercises in R in which we will apply the estimation approaches to data. Data for each analysis exercise will be provided by the instructor. For the final project, students can choose to use data provided by the instructor or data for which they already have access.

• Department: Epidemiology
• T 1 p.m.-3:50 p.m.
• Instructor: Kara Rudolph
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• 3 points

Grant Writing for Epidemiologic Research

Grant Writing for Epi Res

This course provides instruction in the preparation of grant applications for the National Institute of Health (NIH) or other granting agencies, with a special emphasis on F31 and R36 grant applications. Students will participate in instructional lectures, learning the foundations of grant writing and how to craft the specific sections of an NIH-style proposal, and discussions. This course is intended for all PhD students in Epidemiology, as it helps them with grant application experience This course is also intended to provide a forum for 2nd year PhD students to begin to formulate and develop a research question that becomes the basis for their Foundation Essay, dissertation, and a proposal they can submit for NIH funding.

• Department: Epidemiology
• M 2:30 p.m.-4:20 p.m.
• Instructor: Silvia Martins
  h-index: 58 Info
• 1.5 points

Faculty-Fellow Seminar in Psychiatric Ep

FACULTY SEM-PSYCH EPIDEMI

Primarily for fellows in the Psychiatric Epidemiology Training Program. Presentation and discussion of ongoing faculty and fellow research, plus guest speakers. Designed to provide constructive criticism of research in progress and to make fellows aware of current issues in psychiatric epidemiology.

• Department: Epidemiology
• R 11:30 a.m.-12:50 p.m.
• Instructor: Katherine M Keyes
  Wikipedia Info
• 1 points

SEMINAR IN TECTONOPHYSICS

When continents stretch and rift, magmas rise from the mantle, leading to widespread volcanism.
This seminar explores:
• how mantle temperature, water content and decompression drive magma formation
• the role of the lithosphere
• temporal and spatial relationship between volcanism and extension
• the importance of pre-existing structures and tectonic history
• the interactions with asthenosphere flow or plumes
• how magma ascends through the crust and erupts in extending regions
The course will include both fundamental concepts, and examples from the Western US, East Africa and Southwest Pacific back-arc basins, focusing on observational geology, petrology, geophysics, and geodynamic models.

• Department: Earth and Environmental Sciences
• W 10 a.m.-11:30 a.m.
• 1-2 points

Tutorial in Epidemiology

TUTORIALS IN EPIDEMIOLOGY

Independent research with individual faculty. Tailored to the particular interests and needs of the individual student. May include literature review, research projects, or other special studies that enrich the student’s program.

• Department: Epidemiology
• Instructor: Parisa Tehranifar
  h-index: 25 Info
• 0-6 points

Neurological Epidemiology

NEUROLOGICAL EPIDEMIOLOGY

Neurological disease epidemiology is the study of the distribution and determinants of these diseases in human populations; it poses a set of novel challenges given the complex nature of the underlying organ. What are these challenges and what issues set this branch of epidemiology apart from others? The purpose of this class is to introduce students to the core principles of neuroepidemiology. The class will be strongly grounded in clinical neurology. Highlighted are a number of diverse disorders, including Alzheimer's disease, cerebrovascular disease, Parkinson's disease, essential tremor and epilepsy, many of which are exclusive to humans. The epidemiology of these disorders will be the focus of a series of lectures. During the semester, we will also explore disease clusters, socio-medical aspects of these diseases, and interventional studies that attempt to alter their course.
This elective course in the Department of Epidemiology is intended for MS and MPH students. In the past, we have had a mixed audience of graduate students in epidemiology and other departments in the Mailman School of Public Health as well as medical students and physicians who are pursuing epidemiological training. This blend of students leads to a rich and varied discussion. Our overarching goal is to open a world for students, expose them to a new body of knowledge, and get them to think about a series of thorny epidemiological issues. More specifically, students will gain a thorough understanding of the normal and abnormal workings of the brain and be able to identify and explain how the clinical expression of the latter creates an interesting and often distinctive set of challenges for epidemiologists as they attempt to screen for, diagnose and study the determinants of these uniquely human diseases.

• Department: Epidemiology
• W 1 p.m.-3:50 p.m.
• Instructor: Sarah Tom
  Info
• 3 points

Publications, Presentations, and Scienti

PUBS, PRESNTNS & SCI WRIT

This course is organized as a writing seminar/workshop focused on practical writing and oral presentation skills. Students will identify for themselves an empirically-based manuscript or in-depth literature review on which they will work throughout the semester. Specific portions of the writing project will be completed on a regular basis and will be reviewed and critiqued by fellow students and the instructor. Students also will write a draft Specific Aims for a research proposal related to their manuscript topic and make an oral presentation based on the manuscript. Didactic presentations and discussions will focus on the structure of manuscripts, presentations, and grants; writing and presentation challenges and strategies to address them; and other aspects of manuscript preparation (e.g., choosing a journal). Limited to 1st year Epi Doctoral students.

• Department: Epidemiology
• R 2:30 p.m.-5:20 p.m.
• Instructor: Lauren C Houghton
  Info
• 3 points

Thinking, Speaking, and Writing Like an

Think Like an Epidemiolog

This course is designed as an advanced seminar/workshop for 2nd year master’s students in epidemiology who are seeking to strengthen their critical thinking skills and hone their abilities to effectively communicate public health content to varied audiences, for varied purposes, through scientific writing and oral communication. This course will provide practical experiences that reinforce core epidemiology skills, including data interpretation, data synthesis, and critical analysis of epidemiologic research, with an emphasis on logic and reasoning, scientific argumentation, and effective communication. By the end of the course, students will be able to develop well-reasoned arguments that can be supported by existing epidemiology evidence, synthesize extant epidemiologic literature and draw conclusions about current gaps in knowledge and/or barriers to advancing the field, and design presentations and visuals aids for disseminating public health content to specific audiences. Didactic lectures/presentations and course discussions will focus on identifying and appropriately citing scientific sources; making logical scientific arguments; effective argumentation; effective writing and oral presentation skills development/enhancement; identifying challenges to effective written and oral communication and strategies to address them; skills development in the peer-review process, and tailoring scientific presentations to various types of audiences and for various purposes. Students will be required to actively participate in course activities (online and in-person) and will be evaluated on the progress made on a semester's long project (on their topic of choice), which will culminate in a portfolio of deliverables.

• Department: Epidemiology
• M 2:30 p.m.-5:20 p.m.
• Instructor: Adana Llanos
  Info
• 3 points

Probability and Statistics for Epidemiol

Prob/Stat for Epidemiolog

This course is open to any doctoral-level students in MSPH and required for all PhD students in the Department of Epidemiology. The course will be lecture-based, with problem sets, quizzes, and in-class exams to reinforce the learning of material. The course will introduce the notation and concepts of probability and statistics that are relevant for regression estimation and causal inference in epidemiology. This will include set theory, probability, random variables, expectation, variance, covariance, probability distributions, basic calculus, convergence, the central limit theorem, sampling, and the bootstrap. We will also cover how to develop and use simulations in R as a tool for increasing understanding and verifying mathematical relationships.

• Department: Epidemiology
• W 1 p.m.-3:50 p.m.
• Instructor: Dana Goin
  Info
• 3 points

Plasma and Fusion Colloquium

Plasma and Fusion Colloquium: All plasma and fusion graduate students are strongly encouraged to attend the department seminar as long as they are in residence. Interested undergraduates are also welcome. No degree credit is granted.

• Department: Applied Physics and Applied Mathematics
• F 2:45 p.m.-5 p.m.
• Instructor: Carlos Paz Soldan
  h-index: 28 Info
• 0 points

SUPERVISED INDIVIDUAL RESEARCH

Students in the Biological Science PhD program only. Independent research in approved thesis sponsor laboratories.

• Department: Biological Sciences
• Instructor: Songtao Jia
  CULPA: 2 Info
• 1-12 points

DOCTORAL RESEARCH

Doctoral candidates are required to make an original investigation of a problem in biomedical engineering, the results of which are presented in the dissertation.

• Department: Biomedical Engineering
• Instructor: Gerard A Ateshian
  Info
• Instructor: Tal Danino
  Wikipedia h-index: 18 Info
• Instructor: X. Edward Guo
  CULPA: 2 h-index: 70 Info
• Instructor: Clark T Hung
  CULPA: 5 h-index: 65 Info
• Instructor: Lance Kam
  CULPA: 7 h-index: 38 Info
• Instructor: Elisa Konofagou
  Wikipedia h-index: 71 Info
• Instructor: Andrew Laine
  Wikipedia h-index: 43 Info
• Instructor: Kam W Leong
  h-index: 126 Info
• Instructor: Helen Lu
  CULPA: 1 h-index: 54 Info
• Instructor: Barclay Morrison
  CULPA: 9 h-index: 42 Info
• Instructor: Elizabeth Olson
  h-index: 28 Info
• Instructor: Paul Sajda
  CULPA: 3 h-index: 47 Info
• Instructor: Kenneth Shepard
  CULPA: 2 Wikipedia h-index: 64 Info
• Instructor: Samuel Sia
  CULPA: 1 h-index: 39 Info
• Instructor: Stavros Thomopoulos
  h-index: 63 Info
• Instructor: Gordana Vunjak-Novakovic
  Wikipedia h-index: 132 Info
• 1-6 points