Basics Pathology

Subject Code : SFA-327

Module Name Basics Pathology
Module Level, if applicable 2nd year Types of teaching and learning Teaching, Discussion, Debate
Code, if applicable SFA-327 Class size 50
Semester 3rd Semester Attendance time (hours per week per semester) 2 h
Person responsible for the module Apt. Ndaru Setyoningrum M.Sc Forms of active participation Discussion
Lecturer(s) Apt. Ndaru Setyoningrum M.Sc Workload Lecture: 2 (hour) x 14 (meeting) = 28

Preparation and follow up 4 (hour) x 14 (self-learning) = 56

Language English- Indonesia Total workload 84 Workload
Relation to curriculum Compulsory course Credit points 2 CU
Requirements according to examination regulations Minimum attendance at lectures is 75% (according to UII regulation). Final score is evaluated based on assignment and reports (40%), mid semester exam (30%), and end semester exam (30%).
Recommended prerequisites Human Anatomy and Physiologi
Related course
Study and examination requirements and forms of examination Mid-term, Final term, and Presentation

By the end of this course students should be able to:

  • Describe of the pathogenesis and epidemiology of the common or important diseases discussed in lecture.
  • Describe and recognize the major cell and tissue alterations associated with these diseases and how they contribute to organ dysfunction or clinical signs and symptoms.
  • Describe how pathological analysis is used to recognize, classify, grade and stage the major types of malignancy.
  • Describe how pathological analysis contributes to disease surveillance and the evaluation of therapeutic interventions.

The course will cover: 

  • Medical terminology
  • The process of cell injury
  • Pathological of malignancy
  • Hemodynamic instability of cardiovascular disease and renal disease

Text books, slides (power points), and video

  • Interpreting Laboratory Datas
  • Russell J.G., Norman D.H., 2008, Pathology and Therapeutics for Pharmacists, Third edition
  • Departemen Kesehatan, 2011, Pedoman Interpretasi Data Klinik