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42 courses found.
Master of Public Health (MPH) (S55)  (Dept. Info)Social Work and Public Health  (Policies)FL2024

S55 MPH 5000Research Methods3.0 Units
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01M------9:00A-12:00PTBAEylerDefault - none2500
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 - none2500
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 - none2500
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 - none2500
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
01M------5:30P-8:30PTBATabakDefault - none2500
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
02-T-----5:30P-8:30PTBATutlamDefault - none2500
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
04--W----1:00P-4:00PTBAEffahDefault - none2500
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
02--W----5:30P-8:30PTBABruggerDefault - none2500
Desc:Instruction in this course 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-----1:00P-4:00PRemote / SW HarrisDefault - none2500
Desc:Instruction in this course section will utilize R for statistical computing. This is a REMOTE course.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
04M------9:00A-12:00PTBASteensmaDefault - none2500
Desc:Instruction in this course section will utilize SPSS for statistical computing.
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
05M------1:00P-4:00PTBASteensmaDefault - none2500
Desc:Instruction in this course section will utilize SPSS 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-8:30PRemote / SW BayettiDefault - none2600
Actions:Books

S55 MPH 5230Applied Linear Modeling3.0 UnitsLab Required
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01---R---9:00A-11:00ATBA[TBA]Default - none2000
Desc: All students enrolled in Section 01 must also enroll in Lab A. 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.
A---R---11:00A-12:00PTBA[TBA]Default - none2000
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.

S55 MPH 5245Advanced Data Analysis3.0 Units
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01---R---1:00P-4:00PTBAJohnsonDefault - none2000
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
02--W----1:00P-4:00PTBAJohnsonDefault - none2000
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 - none2400
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
01-T-----9:00A-12:00PTBAAnDefault - none2000
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
01M------12:00P-2:00PRemote / SW CaburnayDefault - none9000
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 - none1400
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-5:15PTBAMcMurtryDefault - none1400
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-5:15PTBAMcMurtryDefault - none1400
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.
Waits Not Allowed
04TBATBA[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
05TBATBA[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
06TBATBA[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
07TBATBA[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-8:30PTBANelsonDefault - none2000
Desc:The class will meet every other Thursday for 5 weeks on the following dates: 9/5, 9/19, 10/3, 10/17 & 10/31
Brown-NDStart: 9/5/2024   End: 10/31/2024
Actions:BooksSyllabus
Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use.

S55 MPH 6108Skill Lab: Political Strategy for Gun Policy in the United States1.0 Unit
SecDays       TimeBuilding / RoomInstructorFinal ExamSeatsEnrollWaits
01M------1:00P-4:00PTBAMcMurtryDefault - none2000
Desc:Course Dates: 10/14, 10/21, 10/28, 11/4 & 11/11.
Brown-NDStart: 10/14/2024   End: 11/11/2024
Actions:Books
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.