Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
COMPUTER APPLICATIONS IN PHARMACEUTICAL BIOTECHNOLOGY 34234053 2 + 0 2.0 6.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Ongun Mehmet SAKA
Assistants
Goals To gain knowledge about computer applications used in the pharmaceutical biotechnology field.
Course Content Excel aplications, codex and programming. Use of Prezi and powerpoint for preparing presentations. Use of End-note for preparing abstract or thesis. Beginner level of photoshop for prepartaion of poster. Factorial design and SPSS programs for pharmaceutical technology.
Learning Outcomes 1) Know basic computer usage.
2) Learn to prepare written and oral presentations.
3) The thesis can use programs that make it easier to prepare publications.
4) It can use programs to provide statistical analysis.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Basic principles (Codec, Anti-virus and office programs) Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
2. Week Use of programs for praparation tables and mathematical / chemical formulations Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
3. Week Application of tables and programs used in drawing and calculation of mathematical / chemical formulas. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
4. Week The use of programs to facilitate presentation and poster preparation. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
5. Week The use of programs to facilitate presentation and poster preparation. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
6. Week Use of the End-Note program to facilitate the preparation of thesis / dissertation. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
7. Week Implementation of the End-Note program, which facilitates the preparation of thesis / dissertation. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
8. Week Calculation of simple statistical data with programs such as SPSS, Stat and description of the hand of experimental design outputs Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
9. Week Application of statistical programs. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
10. Week Application of statistical programs. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
11. Week Use of search engines providing resource access, linking with e-book accessing narration and End-note. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
12. Week Use of search engines providing resource access, linking with e-book accessing narration and End-note. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
13. Week Information on licensed / personal programs in existing pharmaceutical technology. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)
14. Week Generic application of all programs described. Lecture
Brainstorming
Problem Based Learning 		Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Adı geçen programların kullanım kılavuzları.
MS-DOS office, powerpoint uygulama kitapları. End-note, SPSS, Design expert .... kullanım kılavuzları
MS-Dos, kullanım kılavuzu. Cilt 2-3. MS-Dos, kullanım kılavuzu. Cilt 2-3.

Relations with Education Attainment Program Course Competencies
Program RequirementsContribution LevelDK1DK2DK3DK4
PY155500
PY250500
PY350000
PY450000
PY550000

*DK = Course's Contrubution.
0 1 2 3 4 5
Level of contribution None Very Low Low Fair High Very High
.

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 2
Work Hour outside Classroom (Preparation, strengthening) 14 8
Practice (Teaching Practice, Music/Musical Instrument Practice , Statistics, Laboratory, Field Work, Clinic and Polyclinic Practice) 6 2
Final Exam 1 2
Time to prepare for Final Exam 1 20
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • Relations with Education Attainment Program Course Competencies
  • ECTS credits and course workload