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46 courses found.
Master of Public Health (MPH) (S55)  (Dept. Info)Social Work and Public Health  (Policies)FL2023

S55 MPH 5000Research Methods3.0 Units
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01M------9:00A-12:00PTBAEylerDefault - none2230
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
02--W----9:00A-12:00PTBAEylerDefault - none2200
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
03-T-----1:00P-4:00PTBAShieldsDefault - none2210
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
04-T-----9:00A-12:00PTBAShieldsDefault - none2210
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.

S55 MPH 5002Epidemiology3.0 Units
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
02--W----9:00A-12:00PTBAHobsonDefault - none2230
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
03----F--9:00A-12:00PRemote / SW MaddipatiDefault - none2250
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
04---R---9:00A-12:00PTBAEffahDefault - none2220
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.

S55 MPH 5003Biostatistics3.0 Units
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01--W----9:00A-12:00PTBAAnDefault - none2200
Desc:Instruction in this course section will utilize R for statistical computing.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
03-T-----9:00A-12:00PTBAHarrisDefault - none22150
Desc:Instruction in this course section will utilize R for statistical computing.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
04--W----5:30P-8:30PTBABruggerDefault - none2210
Desc:Instruction in this course section will utilize R for statistical computing.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
05---R---9:00A-12:00PTBAMaloneDefault - none2210
Desc:Instruction in this course section will utilize R for statistical computing.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.

S55 MPH 5132TPS: Global Mental Health3.0 Units
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01-T-----5:30P-8:30PTBABayettiDefault - none20203
Actions:Books

S55 MPH 5245Advanced Data Analysis3.0 Units
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01-T-----9:00A-12:00PTBASteensmaDefault - none25150
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
02-T-----1:00P-4:00PTBASteensmaDefault - none25252
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.

S55 MPH 5374TPS: Global Reproductive Health3.0 Units
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01--W----9:00A-12:00PTBALevyDefault - none20201
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.

S55 MPH 5601Applied Deep Learning Using Health Data3.0 Units
Description:Data are now available to social scientists in a way and quantity that has never existed before, presenting unprecedented opportunities for advancing social research and practices through state-of-the-art data analytics. On the other hand, dealing with extensive, complex, unconventional "big data" (e.g., free text, image, video/audio recording) requires revolutionary analytic tools only made available during the past decade. Artificial intelligence (AI), characterized by machine and deep learning, has become increasingly recognized as an indispensable tool in modern social and behavioral sciences. For example, AI methodologies have been applied to enhance the effectiveness of diagnosis and prediction of disease conditions, advance understanding of human development and functioning, and improve the effectiveness of data management in various social and human services. As a subdomain of AI, deep learning is based on artificial neural networks in which multiple ("deep") layers of processing are used to extract higher-level features progressively from data. This layered representation enables modeling more complex, dynamic patterns than the traditional machine learning (which sometimes are called "shallow learning" as in contrast to deep learning), which finds its utility in analyzing the "big data"-data massive in scale and "messy" to work with (e.g., unstructured texts, images, audios, and videos). This course contributes to the overarching goal of training next-generation researchers in modern data analytics. It aims to equip students with the core knowledge and essential skills to apply deep learning models to address real-world problems. Through the course, students will familiarize themselves with computer programming in data science, learn state-of-the-art deep learning models, and apply them to social and behavioral questions. In addition, one essential field of deep learning applications is assisting decision-making through identifying patterns and trends, improving prediction precision, and automating evidence collection, synthetization, and dissemination. Students who master deep learning tools will be at the frontier to leverage the power of AI in analytics and practices.
Attributes:
Instruction Type:Classroom instruction Grade Options:C Fees:
Course Type:HomeSame As:S90 5601Frequency:Every Semester / History
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01M------9:00A-12:00PTBAAnDefault - none25170
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.

S55 MPH 5907Capstone I1.0 Unit
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01TBARemote / SW CaburnayDefault - none90800
Desc:This section is taught online with a combination of synchronous and asynchronous classes. PLEASE NOTE: 1st class (date TBD) and last class (date TBD) meet 12:15-2pm. A meeting room will be available on campus for students who remain on campus, upon request. Students should bring their laptops to participate in online class from the meeting room. Each week the class format may include a synchronous online lecture, an asynchronous lecture, or a zoom-based student meeting with the coursemaster (students will be assigned to meet with coursemaster at a specific time, TBD between 12-2pm). Course Fee: $250. This is billed to tuition and applied to the CPH exam fee.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Waits Not Allowed

S55 MPH 5910Public Health Seminar I1.0 Unit
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01--W----4:15P-5:15PTBADuncanDefault - none1410
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Waits Not Allowed
02--W----4:15P-5:15PTBAMaddipatiDefault - none1470
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Waits Not Allowed
03-T-----4:15P-5:15PTBAMaddipatiDefault - none1430
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Waits Not Allowed
04-T-----4:15P-5:15PTBA[TBA]Default - none1400
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Waits Not Allowed
05---R---4:15P-5:15PTBA[TBA]Default - none1400
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Waits Not Allowed
06---R---4:15P-5:15PTBA[TBA]Default - none1400
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Waits Not Allowed

S55 MPH 5987Skill Lab: Strategic Healthcare Leadership1.0 Unit
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01---R---5:30P-8:30PTBA[TBA]Default - none18120
Desc:This course is being taught by Vincent Nelson. The Class will meet 5 Thursdays on the following dates: 9/7 & 9/21, 10/12 & 10/26, & 11/9.
ShortStart: 9/7/2023   End: 11/9/2023
Actions:Books

S55 MPH 5988Skills Lab: Using Publicly Available Global Health Data in Epidemiology and Biostatistics1.0 Unit
Description:This skill lab will provide practical variable operationalization, preliminary descriptive analysis, and analysis protocol writing skills that are relevant for students who are: (1) completing independent research projects (i.e., MPH capstone, research practicum, etc.), (2) seeking a data-driven global health career using complex and nationally representative household surveys, and (3) developing the skills to analyze the major causes of morbidity and mortality in low and middle income countries. Students will learn how to access publicly available global health datasets (i.e., Demographic and Health Surveys) commonly used by data scientists and epidemiologists to inform the policies, programs, and services of national health ministries and international health organizations. Students will then gain mastery of statistical and methodological considerations for handling complex survey data by understanding the principles of multistage sampling and probability. Students will increase confidence in developing pragmatic research questions that can be addressed using publicly available global health datasets and exploring data and statistical issues that require reformulation of research questions: missingness, low cell sizes, skip logic patterns, non-response, etc. The course instructor will systematically guide students through important stages of research question formulation, data access, preliminary data analysis, and descriptive statistics. The final project will be a 5 -page, double spaced, APA-style research analysis protocol consisting of research question and rationale (1 page), dataset description (0.5 page), descriptive statistics table (1 page), feasibility of addressing the research question (0.5 page), variable operationalization (1 page), and analytical plan for further descriptive or inferential statistics (1 page, completing the full analysis is not required). Overall, this course will equip students in independently answering a variety of research questions using publicly available global health datasets.
Attributes:
Instruction Type:Online Course Grade Options:C Fees:
Course Type:HomeSame As:N/AFrequency:None / History
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01--W----5:30P-8:30PRemote / SW VahediDefault - none18160
Desc:This class will meet for 5 Wenesdays: 8/30, 9/6, 9/13, 9/20, & 9/27.
Actions:Books

S55 MPH 6000Foundations of Field Education MPH0.0 Unit
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01TBATBAOrahood, BarbierDefault - none1600
Desc:This section is for Global Health Specializers only.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
02TBATBAOrahood, BarbierDefault - none1600
Desc:This section is for Global Health specializers only.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
03TBATBAStafford, BarbierDefault - none1600
Desc:This section is for joint degree students only.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Label

Home/Ident

A course may be either a “Home” course or an “Ident” course.

A “Home” course is a course that is created, maintained and “owned” by one academic department (aka the “Home” department). The “Home” department is primarily responsible for the decision making and logistical support for the course and instructor.

An “Ident” course is the exact same course as the “Home” (i.e. same instructor, same class time, etc), but is simply being offered to students through another department for purposes of registering under a different department and course number.

Students should, whenever possible, register for their courses under the department number toward which they intend to count the course. For example, an AFAS major should register for the course "Africa: Peoples and Cultures" under its Ident number, L90 306B, whereas an Anthropology major should register for the same course under its Home number, L48 306B.

Grade Options
C=Credit (letter grade)
P=Pass/Fail
A=Audit
U=Satisfactory/Unsatisfactory
S=Special Audit
Q=ME Q (Medical School)

Please note: not all grade options assigned to a course are available to all students, based on prime school and/or division. Please contact the student support services area in your school or program with questions.