Computational Precision Health (COMP HLTH)

COMP HLTH 200A  Computational Precision Health Cornerstone  (3 Units)  Fall  

Instructor(s): Ida SimIda Sim also teaches: COMP HLTH 270, COMP HLTH 200C, COMP HLTH 200B

Prerequisite(s): N/A

Restrictions: CPH first year graduate students are given priority.

Activities: Lecture, Project

Students in CPH will develop skills and expertise in both the computational sciences and health sciences.In this three-part course series, students learn to integrate core foundations of computational precision health in small multidisciplinary teams using a Problem Based Learning pedagogical approach. Students will learn core computational foundations including in machine learning and causal inference and they will obtain deep exposure to multiple clinical areas including cancer and cardiology.

View full course details:

  • School: Graduate Division
  • Department: Computational Precision Health Program
  • May the student choose the instructor for this course? No
  • Does enrollment in this course require instructor approval? No
  • Course Grading Convention: Letter Grade
  • Graduate Division course: Yes
  • Is this a web-based online course? No
  • Is this an Interprofessional Education (IPE) course? No
  • May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
  • Repeat course for credit? No

COMP HLTH 200B  Computational Precision Health Cornerstone  (3 Units)  Winter  

Instructor(s): Ida SimIda Sim also teaches: COMP HLTH 270, COMP HLTH 200C, COMP HLTH 200A

Prerequisite(s): CPH 200A

Restrictions: CPH first year graduate students are given priority

Activities: Lecture, Project

Students in CPH will develop skills and expertise in both the computational sciences and health sciences.In this three-part course series, students learn to integrate core foundations of computational precision health in small multidisciplinary teams using a Problem Based Learning pedagogical approach. Students will learn core computational foundations including in machine learning and causal inference and they will obtain deep exposure to multiple clinical areas including cancer and cardiology.

View full course details:

  • School: Graduate Division
  • Department: Computational Precision Health Program
  • May the student choose the instructor for this course? No
  • Does enrollment in this course require instructor approval? No
  • Course Grading Convention: Letter Grade
  • Graduate Division course: Yes
  • Is this a web-based online course? No
  • Is this an Interprofessional Education (IPE) course? No
  • May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
  • Repeat course for credit? No

COMP HLTH 200C  Computational Precision Health Cornerstone  (3 Units)  Spring  

Instructor(s): Ida SimIda Sim also teaches: COMP HLTH 270, COMP HLTH 200A, COMP HLTH 200B

Prerequisite(s): CPH 200A, CPH 200B

Restrictions: First year CPH graduate students are given priority

Activities: Lecture, Project

In part 3 of the three-part course series, students will focus on diabetes and ethical machine learning. The students will first learn about modeling chronic diseases including working with time-series data, treatment management, and sequential decision making. Along the way, we'll examine questions of equity and fairness within these questions including access to healthcare, social determinants of health, and trust in the healthcare system.

View full course details:

  • School: Graduate Division
  • Department: Computational Precision Health Program
  • May the student choose the instructor for this course? No
  • Does enrollment in this course require instructor approval? No
  • Course Grading Convention: Letter Grade
  • Graduate Division course: Yes
  • Is this a web-based online course? No
  • Is this an Interprofessional Education (IPE) course? No
  • May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
  • Repeat course for credit? No

COMP HLTH 215  Lab Rotation  (2-8 Units)  Fall, Winter, Spring, Summer  

Instructor(s): Staff

Prerequisite(s): Instruction permission.

Restrictions: For first year graduate students in the Joint UCSF/UC Berkeley CPH PhD program.

Activities: Independent Study, Lab science

For first-year CPH graduate students, this course will provide an introduction to experimental methods and research approaches in the different areas of Computational Precision Health. Ten week laboratory rotations spread out over the fall and spring quarters, summer on a needed basis. Research is conducted under the direction of an individual faculty member.

View full course details:

  • School: Graduate Division
  • Department: Computational Precision Health Program
  • May the student choose the instructor for this course? Yes
  • Does enrollment in this course require instructor approval? Yes
  • Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
  • Graduate Division course: Yes
  • Is this a web-based online course? No
  • Is this an Interprofessional Education (IPE) course? No
  • May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
  • Repeat course for credit? Yes

COMP HLTH 250  Research  (1-9 Units)  Fall, Winter, Spring, Summer  

Instructor(s): Staff

Prerequisite(s): Students working on dissertation research only

Restrictions: Restricted to Computational Precision Health students

Individual research under the supervision of a faculty member.

View full course details:

  • School: Graduate Division
  • Department: Computational Precision Health Program
  • May the student choose the instructor for this course? Yes
  • Does enrollment in this course require instructor approval? Yes
  • Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
  • Graduate Division course: Yes
  • Is this a web-based online course? No
  • Is this an Interprofessional Education (IPE) course? No
  • May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
  • Repeat course for credit? Yes

COMP HLTH 270  Computational Precision Health Seminar  (3 Units)  Fall, Winter  

Instructor(s): Ida SimIda Sim also teaches: COMP HLTH 200C, COMP HLTH 200A, COMP HLTH 200B

Prerequisite(s): None.

Restrictions: Enrollment is limited to students with standing in the Computational Precision Health PhD, accepted students in the Designated Emphasis in Computational Precision Health, or by consent of the instructor.

Activities: Seminar, Discussion

Computational precision health is a rapidly evolving field at the intersection of computational (computer science, data science, statistics) and health sciences (clinical medicine, population health, clinical research). The seminar consists of discussion of recent literature in CPH, guest speakers from across the programs faculty and beyond, presentations by second-year students on work completed during lab rotations, and presentations by third-year students on active dissertation research.

View full course details:

  • School: Graduate Division
  • Department: Computational Precision Health Program
  • May the student choose the instructor for this course? No
  • Does enrollment in this course require instructor approval? Yes
  • Course Grading Convention: P/NP (Pass/Not Pass) or S/U (Satisfactory/Unsatisfactory)
  • Graduate Division course: Yes
  • Is this a web-based online course? No
  • Is this an Interprofessional Education (IPE) course? No
  • May students in the Graduate Division (i.e. pursuing Master or PhD) enroll in this course? Yes
  • Repeat course for credit? Yes