MA THESIS II
Second part of two-term MA Thesis sequence for MRST MA Students.
- Department: Medieval and Renaissance Studies
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Instructor:
Susan Boynton
CULPA: 18 Info - 4 points
M.A. Thesis II
M.A. Thesis Course for MARS-REERS program.
- Department: Russian Eurasian E. European
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Instructor:
Elise Giuliano
CULPA: 6
Info
- 0-3 points
INDEPENDENT STUDY
- Department: Women's and Gender Studies
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Instructor:
Julia Bryan-Wilson
Wikipedia Info - 3 points
JTS Cross-Registration
Early Mod Jewish History
- Department: Jewish Theological Seminary
- 1-5 points
Introduction to Evidence-Based Practice
INTRO TO EVIDENCE-BASED P
This course is designed for graduate nurses to provide them with the skills to understand and utilize research evidence in decisions about clinical practice. The course is designed to help graduate nurses articulate relevant practice-based questions, search the literature to identify relevant evidence, evaluate the quality of research on which the evidence is based, and discuss the application of the evidence in clinical practice to improve quality of care.
- Department: Nursing
- T 4 p.m.-6 p.m.
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Instructor:
Lisa Iannacci-Manasia
Info - 3 points
Union Theological Cross-Reg
Introduction to Bible
- Department: Union Theological Seminary (UTSD)
- 1-4 points
Union Theological Cross-Reg
QURAN - ENGNG SACRED TEXT
- Department: Union Theological Seminary (UTSD)
- 1-4 points
Union Theological Cross-Reg
HIS OF CHRISTNTY 1500-200
- Department: Union Theological Seminary (UTSD)
- 1-4 points
Advanced Physiology and Pathophysiology
ADV PHYS & PATHO I X LIFE
Part one of two. In this course we will examine the normal physiological function of organ systems, the mechanisms for the maintenance of health, and the pathophysiological alterations in body function that lead to disease. Each class will focus on a specific physiologic process or organ system. We will pay particular focus to diseases that commonly occur across the lifespan, examining common etiologies, pathogenic mechanisms, clinical manifestations, and common treatments of each.
- Department: Nursing
- T 1 p.m.-3:50 p.m.
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Instructor:
Sally W Aboelela
CULPA: 5 Info - 3 points
FNDN EXCELLENCE DENTAL PRACTICE III
- Department: Dental and Oral Surgery
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Instructor:
Dana L Wolf
h-index: 7 Info - 0 points
Care Coordination
CARE COORDINATION
The care coordination course is designed to provide nursing students the skills to provide patient-centered care, deliberately organize patient care activities and share information among all of the participants concerned with a patient's care to achieve safer and more effective care. Reducing high rates of errors, reducing high rates of readmission, improving satisfaction with care, addressing unmet needs in health care and reducing cost burden will also be explored.
- Department: Nursing
- T 4 p.m.-6 p.m.
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Instructor:
Karol Dibello
Info - 3 points
Health and Social Policy in the Context
HLTH & SOC POL:CONTEXT PR
This core course examines contextual contributors to health status and the current social, legal, and political determinants of healthcare systems, emphasizing the U.S. system. Issues are explored to understand their impact on current and future delivery of health care, in particular on advanced practice nursing. The class focuses on how to bring the professional values of nursing to bear in policy debate and how nurses partner in the policy process to improve health outcomes of populations and quality of the healthcare delivery system.
- Department: Nursing
- T 6 p.m.-8 p.m.
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Instructor:
Lisa Iannacci-Manasia
Info - 3 points
Financial Statement Analysis a
The purpose of this course is to learn about fundamental drivers of value and risk by analyzing financial statements of businesses in different industries. Every public company provides a lot of financial and operational information in its filings. How can this information be used to evaluate its prospects and its risks?
The course is organized around two themes (1) how to identify relevant information in the financial information reported by firms, and (2) how to draw inferences using sound analytical methodology. To this end, we will review techniques for valuation and risk analysis used by banks and asset management firms. The valuation models you will study in this course are all fundamental models – models that use
financial information and review the fundamental operating characteristics of the company. We will learn to build simple financial models, perform risk analysis and fine tune value drivers. Much of the data comes from the financial statements – but it requires a careful study of arcane footnotes to unearth the information provided by the companies. This is an advanced course that goes into the details of footnote analysis, accounting rules, and financial presentations. This course builds on what you learned in Financial Accounting and Corporate Finance. These courses are pre-requisites for taking this course. It is assumed that you have already taken these courses. If you have not taken these courses you should first talk with me before you register. This course will build significantly on your knowledge from those courses. If your basics are solid and you are interested in learning to read financial statements; if you wish to learn to apply financial analysis; this course is for you. We will use excel to build some of the models – but this is not a course in excel. But, it is highly recommended that
you have a good working knowledge of how to build formulas in excel before you come to this class.
By the end of the course, you should be able to perform a thorough, credible investment or credit analysis that meets a high standard. Students should have the ability to estimate fundamental values, and pull apart the information in the financial statements to get relevant information. This course should be of interest to those contemplating careers in investment banking, security analysis, private
equity, hedge funds, and corporate finance.
- Department: Accounting (ACCT)
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Instructor:
Radha Radhakrishna
Info - 3 points
INDEPENDENT STUDY
- Department: Engineering
- W 1 p.m.-2:40 p.m.
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Instructor:
Hyoseon Lee
Info - 0 points
WRITING SKILLS FOR NEUROSCIENTISTS
I:CRAFTING A RESEARCH PROPOSAL
- Department: Neurobiology and Behavior
- W 5 p.m.-6:30 p.m.
- 0.5 points
WRITING SKILLS FOR NEUROSCIENTISTS
- Department: Neurobiology and Behavior
- R 3 p.m.-5 p.m.
- 0.5 points
BASIC DIAGNOSIS/TREATMENT PLAN
- Department: Dental and Oral Surgery
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Instructor:
Roseanna Graham
h-index: 4 Info - 0 points
INFECTION CONTROL
- Department: Dental and Oral Surgery
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Instructor:
Sidney Eisig
h-index: 24 Info - 0 points
PRESENTATION SKILLS FOR NEUROSCIENTISTS
- Department: Neurobiology and Behavior
- R 10 a.m.-11:30 a.m.
- 1 points
Advanced Physical Assessment for Nurse L
ADVANCED ASSESSMENT FOR N
This course will develop the knowledge and skills necessary for conducting advanced comprehensive and focused health assessment for individuals with emphasis placed on interviewing skills, health histories, physical and psycho-social findings. Utilizing a systems approach and a background in basic physical assessment, identification and interpretation of abnormalities are emphasized.
Intro to Python for Neuroscientists
Learn how to use the most common Python packages for data science. Become
confident in managing your own data and building data pipelines.
- Department: Neurobiology and Behavior
- T 1 p.m.-2:30 p.m.
- 1 points
Academic-Practice Research Fellowship
PRACTICE RESEARCH FELLOWS
This graduate course is designed to provide the student with the knowledge and skills to facilitate changes in practice delivery using quality improvement strategies. Historical development for total quality management and strategies for implementing process improvement are emphasized. Students will learn how to develop a culture of appreciative inquiry to foster inquisition and innovation. Upon completion of this course, students will design a plan for implementation of a quality improvement project.
- Department: Nursing
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Instructor:
Kasey B Jackman
Info - 0 points
FOUNDATIONS OF SW PRACTICE
- Department: Social Work
- W 9 a.m.-noon
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Instructor:
Giorgio Handman
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Instructor:
Ovita F Williams
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Instructor:
Sumathy D Applewhite
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Instructor:
Natalie Mena
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Instructor:
Helodia Dastine
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Instructor:
Jessica Chock-Goldman
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Instructor:
Moradeyo Adeyi
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Instructor:
Tonika Boston
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Instructor:
Krystal Miller
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Instructor:
Susan S Witte
h-index: 28 Info -
Instructor:
Ovita F Williams
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Instructor:
Diana A Melendez
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Instructor:
Michelle Sanderson
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Instructor:
Alissa C Silverstein
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Instructor:
Kelly Brown
Wikipedia Info - 3 points
Business Analytics II: Foundations of AI
Business Analytics 2
Business analytics refers to the ways in which enterprises such as businesses, non-profits, and governments use data to gain insights and make better decisions. Business analytics is applied in operations, marketing, finance, and strategic planning among other functions. Modern data collection methods – arising in bioinformatics, mobile platforms, and previously unanalyzable data like text and images – are leading an explosive growth in the volume of data available for decision making. The ability to use data effectively to drive rapid, precise, and profitable decisions has been a critical strategic advantage for companies as diverse as Walmart, Google, Capital One, and Disney. Many startups are based on the application of AI & analytics to large databases. With the increasing availability of broad and deep sources of information – so-called “Big Data” – business analytics are becoming an even more critical capability for enterprises of all types and all sizes.
AI is beginning to impact every dimension of business and society. In many industries, you will need to be literate in AI to be a successful business leader. The Business Analytics sequence is designed to prepare you to play an active role in shaping the future of AI and business. You will develop a critical understanding of modern analytics methodology, studying its foundations, potential applications, and – perhaps most importantly – limitations.
- Department: Decision, Risk and Operations
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Instructor:
Charles R Guetta
Info - 1.5 points
Service Operations Management
This course examines both traditional and new approaches for achieving operational competitiveness in service businesses. Major service sectors such as health care, repair / technical support services, banking and financial services, transportation, restaurants, hotels and resorts are examined. The course addresses strategic analysis and operational decision making, with emphasis on the latter. Its content also reflects results of a joint research project with the consulting firm Booz Allen Hamilton, which was initiated in 1996 to investigate next-generation service operations strategy and practices. Topics include the service concept and operations strategy, the design of effective service delivery systems, productivity and quality management, response time (queueing) analysis, capacity planning, yield management and the impact of information technology. This seminar is intended for students interested in consulting, entrepreneurship, venture capital or general management careers that will involve significant analysis of a service firms operations.
- Department: Decision, Risk and Operations
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Instructor:
Medini Singh
Info - 3 points
ADVANCED CLINICAL PRACTICE
- Department: Social Work
- W 9 a.m.-10:50 a.m.
- W 4:10 p.m.-6 p.m.
- T 4:10 p.m.-6 p.m.
- W 6:20 p.m.-8:10 p.m.
- T 2 p.m.-3:50 p.m.
- T 11:10 a.m.-1 p.m.
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Instructor:
Tracy M Norris
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Instructor:
Diana A Melendez
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Instructor:
Hilary A Bucell
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Instructor:
Helodia Dastine
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Instructor:
Brandon Weiss
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Instructor:
Kelsey G Reeder
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Instructor:
Samantha G Schindelheim
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Instructor:
Jennifer Lee
CULPA: 2 Wikipedia Info -
Instructor:
Jillian Tucker
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Instructor:
Amanda E Glass
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Instructor:
Bushra S Husain
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Instructor:
Joan L Bell
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Instructor:
Natalie Mena
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Instructor:
David F Swayne Jr.
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Instructor:
Rachel M Goldsmith
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Instructor:
Stephanie Manes
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Instructor:
Christine B Carville
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Instructor:
Aditi Bhattacharya
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Instructor:
Christine B Carville
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Instructor:
Gerardine Mareus
Info - 3 points
Business Analytics III: Modern AI, Deep
Business analytics refers to the methods enterprises—such as businesses, non-profits, and governments—use to analyze data to gain insights and make better decisions. This discipline is applied across various functions including operations, marketing, finance, and strategic planning. The advent of modern data collection methods in fields like bioinformatics, mobile platforms, and previously unanalyzable data (such as text and images) has led to an explosive growth in the volume of data available for decision-making. Utilizing data effectively to drive rapid, precise, and profitable decisions has become a critical strategic advantage for diverse companies including Walmart, Google, Capital One, and Disney. Moreover, many startups are emerging based on the application of AI and analytics to large databases. With the increasing availability of broad and deep sources of information—often referred to as "Big Data"—business analytics is becoming an even more essential capability for enterprises of all types and sizes.
AI is starting to influence every dimension of business and society. In many industries, being literate in AI is becoming a prerequisite for successful business leadership. The Business Analytics sequence is designed to prepare you to take an active role in shaping the future of AI and business. You will develop a critical understanding of modern analytics methodologies, exploring their foundations, potential applications, and—perhaps most importantly—their limitations.
- Department: Decision, Risk and Operations
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Instructor:
Charles R Guetta
Info - 1.5 points
PROGRAM PLANNING & DEVELOPMENT
- Department: Social Work
- T 9 a.m.-12:50 p.m.
- W 2 p.m.-5:50 p.m.
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Instructor:
Russell A Baptist
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Instructor:
Rick Greenberg
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Instructor:
Pradine L Content
Info - 3 points
HUMAN RESOURCE MANAGEMENT
- Department: Social Work
- T 2 p.m.-3:50 p.m.
- W 6:20 p.m.-8:10 p.m.
- W 8:30 p.m.-10:20 p.m.
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Instructor:
Martin Englisher
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Instructor:
Desiree Bunch
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Instructor:
Mindy Chen
Info - 3 points
MACRO COMMUNITY PRACTICE
- Department: Social Work
- T 9 a.m.-12:50 p.m.
- W 2 p.m.-5:50 p.m.
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Instructor:
Jeanette Takamura
Wikipedia Info - 3 points
INTEGRATED PRACTICE AND PROGRAMMING
INTEGRATED PRACT & PROGRA
Students learn to think and practice as advanced generalist social work practitioners. Emphasis is placed on helping students to develop a conceptual framework with which they can differentially assess the multiple, interrelated interventions needed to respond to clients' issues. The course focuses on advanced direct practice; assessment of the service needs of individuals, families, client populations, and neighborhoods; case management; and community social work with vulnerable populations.
- Department: Social Work
- T 2 p.m.-3:50 p.m.
- W 10 a.m.-11:50 a.m.
- W 4:10 p.m.-6 p.m.
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Instructor:
Yamile M Marti Haidar
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Instructor:
Amy S Kapadia
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Instructor:
Anna M Hedrick
Info - 3 points
SEMINAR ON POLICY PRACTICE I
- Department: Social Work
- W 2 p.m.-3:50 p.m.
- T 4:10 p.m.-6 p.m.
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Instructor:
John G Robertson
Info - 3 points
SPECIAL NEEDS ROTATION PEDIATRICS
- Department: Dental and Oral Surgery
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Instructor:
Aaron G Myers
Info - 0 points