| | 01 | M------ | 9:00A-12:00P | TBA | Eyler | Default - none | 22 | 3 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | --W---- | 9:00A-12:00P | TBA | Eyler | Default - none | 22 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 03 | -T----- | 1:00P-4:00P | TBA | Shields | Default - none | 22 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 04 | -T----- | 9:00A-12:00P | TBA | Shields | Default - none | 22 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 1:00P-4:00P | TBA | Hudson | Default - none | 20 | 9 | 0 | | |
| 02 | --W---- | 9:00A-12:00P | TBA | Caburnay | Default - none | 20 | 11 | 0 | | |
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| | 02 | --W---- | 9:00A-12:00P | TBA | Hobson | Default - none | 22 | 3 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 03 | ----F-- | 9:00A-12:00P | Remote / SW | Maddipati | Default - none | 22 | 5 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 04 | ---R--- | 9:00A-12:00P | TBA | Effah | Default - none | 22 | 2 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | --W---- | 9:00A-12:00P | TBA | An | Default - none | 22 | 0 | 0 | Desc: | Instruction in this course section will utilize R for statistical computing.
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| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 03 | -T----- | 9:00A-12:00P | TBA | Harris | Default - none | 22 | 15 | 0 | Desc: | Instruction in this course section will utilize R for statistical computing. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 04 | --W---- | 5:30P-8:30P | TBA | Brugger | Default - none | 22 | 1 | 0 | Desc: | Instruction in this course section will utilize R for statistical computing. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 05 | ---R--- | 9:00A-12:00P | TBA | Malone | Default - none | 22 | 1 | 0 | Desc: | Instruction in this course section will utilize R for statistical computing. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 9:00A-12:00P | TBA | McMurtry | Default - none | 20 | 11 | 0 | | |
| 02 | M------ | 9:00A-12:00P | TBA | Mason | Default - none | 20 | 5 | 0 | | |
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| | 01 | --W---- | 1:00P-4:00P | TBA | Serrano | Default - none | 20 | 13 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | ---R--- | 1:00P-4:00P | TBA | Serrano | Default - none | 20 | 9 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M------ | 12:00P-1:00P | TBA | Duncan | Default - none | 125 | 12 | 0 | Desc: | This course is being taught mainly asynchoronously. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| | 01 | -----S- | 9:00A-4:30P | TBA | Cameron | Default - none | 18 | 18 | 0 | Desc: | Course Dates: 9/16 & 9/23 |
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| | 01 | M------ | 9:00A-12:00P | TBA | Wilke | Default - none | 18 | 10 | 0 | Desc: | This class will meet for 5 Mondays: 10/23, 10/30, 11/6, 11/13, & 11/20. |
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| | 01 | --W---- | 1:00P-4:00P | TBA | Cameron | Default - none | 18 | 8 | 0 | | |
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| | 01 | --W---- | 9:00A-12:00P | TBA | Cameron | Default - none | 18 | 6 | 0 | | |
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| Description: | Policy has a well-documented, powerful and sustained effect on public health indicators. This course covers the epidemiologic basis for health policy, types of policy evidence, policy theories, study designs for understanding the effects of policy, methods of policy communication, and current controversies. Course content will be covered through readings, individual and group exercises, case studies, lectures, and discussions. Prerequisite: S55-5002
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| | 01 | ---R--- | 9:00A-12:00P | TBA | Brownson | Default - none | 16 | 5 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 1:00P-4:00P | TBA | Brown | Default - none | 16 | 5 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | This course aims to provide participants with an in-depth understanding of the current debates that are shaping Global Mental Health (GMH) in Low and Middle Income Countries (LMICs). It examines the history of GMH, its key principles, policies and practices alongside the challenges inherent to their implementation in some of the most challenging contexts. Using practical examples of GMH interventions in the area of stigma, depression, trauma and the mental health of marginalized populations, students will be encouraged to critically engage with concepts relevant to, social work, public health, sociology and anthropology so as to reflect on the design, applicability and relevance of such interventions. Furthermore, the course will examine several key issues inherent to the field, such as the cultural validity of modern psychiatric diagnosis, as well as its research methods and assessment techniques. Guest speakers will include individuals working on the forefront of GMH application. The course is designed to compel future social workers to "think globally" but "act locally" when debating and addressing mental health issues in an international context. |
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| | 01 | -T----- | 5:30P-8:30P | TBA | Bayetti | Default - none | 20 | 20 | 3 | | |
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| | 01 | ---R--- | 5:30P-8:30P | TBA | Bayetti | Default - none | 18 | 2 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | ----FS- | 9:00A-5:00P | TBA | Gibson | Default - none | 18 | 6 | 0 | Desc: | Course dates: 11/3 & 11/4 |
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| | 01 | -----SS | 9:00A-1:00P | TBA | Cameron | Default - none | 18 | 9 | 0 | Desc: | Course dates: 9/30 & 10/1, 10/15 & 10/16 |
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| | 01 | ---R--- | 1:00P-4:00P | TBA | Waken | Default - none | 20 | 17 | 0 | Desc: | Instruction in this course section will utilize R for statistical computing. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| A | TBA | | TBA | [TBA] | Default - none | 20 | 17 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 9:00A-12:00P | TBA | Levy | Default - none | 20 | 20 | 3 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | --W---- | 1:00P-4:00P | TBA | Barbier | Default - none | 20 | 20 | 11 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 9:00A-12:00P | TBA | Steensma | Default - none | 25 | 15 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | -T----- | 1:00P-4:00P | TBA | Steensma | Default - none | 25 | 25 | 2 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 9:00A-12:00P | TBA | Iannotti | Default - none | 20 | 7 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| | 01 | M------ | 9:00A-12:00P | TBA | Steensma | Default - none | 20 | 12 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 1:00P-4:00P | TBA | Jonson-Reid, Drake | Default - none | 20 | 8 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| Description: | This course has controlled registration for all students. Priority is given based on degree requirements. All students who wish to enroll in this course should add themselves to the waitlist. This course will provide an overview of the critical issues in global reproductive health, covering basic reproductive biology and epidemiological trends related to contraceptive use, fertility, and adverse birth outcomes. Additionally, applying a solutions-based approach, we will use key theoretical frameworks and cases studies from the field to understand the influence of social, behavioral, and environmental factors on adverse reproductive health outcomes. Finally, students will be engaged in topics related to what the field has achieved thus far, including: changes in policies, laws, and development approaches; the use of new technologies; the promotion of constructive male engagement; and overall improvements in outcomes related to family planning, fertility, maternal health, violence, sexually transmitted infections, and HIV/AIDS. Obstacles to progress such as waning political commitment, trends in funding, weakened health systems, and cultural opposition, will also be discussed. |
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| | 01 | --W---- | 9:00A-12:00P | TBA | Levy | Default - none | 20 | 20 | 1 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | ---R--- | 1:00P-4:00P | TBA | Ballard | Default - none | 18 | 13 | 0 | | |
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| Description: | This course provides a comprehensive introduction to randomized controlled clinical trials. Topics include types of clinical trials research (efficacy and effectiveness trials), study design, treatment allocation, randomization and stratification, quality control, analysis, sample size requirements, patient consent, data safety and monitoring plans, reporting standards, and interpretation of results. Course activities: lectures, manuscript critiques, class project, paper Course note: Students are strongly encouraged to have taken or be concurrently enrolled in M21-560. |
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| | 01 | M------ | 1:00P-4:00P | Taylor Ave Bldg / 2131W | Stoll, Colditz, Liu | Default - none | 30 | 6 | 0 | | |
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| 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. |
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| | 01 | M------ | 9:00A-12:00P | TBA | An | Default - none | 25 | 17 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | ---R--- | 9:00A-12:00P | TBA | Chun | Default - none | 16 | 2 | 0 | Desc: | Course Dates:
9/7
9/14
9/21
9/28
10/5
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| | 01 | TBA | | TBA | Han, Barbier | Default - none | 500 | 4 | 0 | | |
| 02 | TBA | | TBA | Orahood | Default - none | 100 | 0 | 0 | Desc: | **This section is for Global Health Specializers only. |
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| | 01 | TBA | | TBA | Han, Stafford, Barbier | Default - none | 500 | 4 | 0 | | |
| 02 | TBA | | TBA | Orahood | Default - none | 25 | 0 | 0 | Desc: | This section is for Global Health students. |
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| | 01 | TBA | | TBA | Han, Stafford, Barbier | Default - none | 5 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Barbier | Default - none | 10 | 1 | 0 | | |
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| | 01 | TBA | | TBA | Stafford, Barbier | Default - none | 100 | 0 | 0 | | |
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| | 01 | TBA | | TBA | Stafford, Barbier | Default - none | 100 | 0 | 0 | | |
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| | 01 | --W---- | 1:00P-4:00P | TBA | Pearson | Default - none | 20 | 18 | 3 | | |
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| | 01 | TBA | | TBA | Hobson | Default - none | 100 | 77 | 0 | | |
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| | 01 | TBA | | Remote / SW | Caburnay | Default - none | 90 | 80 | 0 | 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: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| | 01 | TBA | | See Instructor / NONE | [TBA] | Default - none | 25 | 6 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| | 01 | --W---- | 4:15P-5:15P | TBA | Duncan | Default - none | 14 | 1 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| 02 | --W---- | 4:15P-5:15P | TBA | Maddipati | Default - none | 14 | 7 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| 03 | -T----- | 4:15P-5:15P | TBA | Maddipati | Default - none | 14 | 3 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| 04 | -T----- | 4:15P-5:15P | TBA | [TBA] | Default - none | 14 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| 05 | ---R--- | 4:15P-5:15P | TBA | [TBA] | Default - none | 14 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| 06 | ---R--- | 4:15P-5:15P | TBA | [TBA] | Default - none | 14 | 0 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
| Waits Not Allowed |
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| | 01 | ----F-- | 12:00P-1:10P | See Instructor / NONE | Eyler | Default - none | 10 | 1 | 0 | | | |
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| | 01 | -T----- | 9:00A-12:00P | TBA | Duncan | Default - none | 18 | 11 | 0 | Desc: | This class will meet 5 times: course dates are 8/29, 9/5, 9/12, 9/19 & 9/26. |
| | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | M------ | 5:30P-8:30P | TBA | Floros | Default - none | 20 | 14 | 0 | | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | -T----- | 1:00P-4:00P | TBA | Yang | Default - none | 18 | 18 | 3 | Desc: | This course will meet for 5 Tuesdays: class dates are 9/12, 9/19, 9/26, 10,3 & 10/10. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| | 01 | ---R--- | 5:30P-8:30P | TBA | [TBA] | Default - none | 18 | 12 | 0 | 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.
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| 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. |
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| | 01 | --W---- | 5:30P-8:30P | Remote / SW | Vahedi | Default - none | 18 | 16 | 0 | Desc: | This class will meet for 5 Wenesdays: 8/30, 9/6, 9/13, 9/20, & 9/27. |
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| | 01 | TBA | | TBA | Orahood, Barbier | Default - none | 16 | 0 | 0 | Desc: | This section is for Global Health Specializers only. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 02 | TBA | | TBA | Orahood, Barbier | Default - none | 16 | 0 | 0 | Desc: | This section is for Global Health specializers only. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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| 03 | TBA | | TBA | Stafford, Barbier | Default - none | 16 | 0 | 0 | Desc: | This section is for joint degree students only. |
| | | Actions: | | Books | | Syllabus | | Syllabi are provided to students to support their course planning; refer to the syllabus for constraints on use. |
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