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  Course Description
Course Name : Seminar (Z)

Course Code : BİS-715

Course Type : Compulsory

Level of Course : Sub-Level (Undergraduate Degree)

Year of Study : 1

Course Semester : Spring (16 Weeks)

ECTS : 3

Name of Lecturer(s) : Assoc.Prof.Dr. GÜLŞAH SEYDAOĞLU
Prof.Dr. HÜSEYİN REFİK BURGUT
Prof.Dr. ZELİHA NAZAN ALPARSLAN
InstructorDr. YAŞAR SERTDEMİR

Learning Outcomes of the Course : Does a profound literature review and research on a given subject
Synthesizes, analyzes and interprets the information obtained
Writes a report on the results obtained
Improves effective presentation skills and presents the results infront of a community.

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : No

Aim(s) of Course : The aim of this course is to help students review literature related to the field of proffession, have a critical approach to the data gathered, report and present it.

Course Contents : Preparing a scientific report by reviewing literature and presenting the report infront of a community

Language of Instruction : Turkish

Work Place : Biostatistics Department


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Determining the seminar subject - Discussion
2 Determining the seminar subject Reading Discussion
3 Literature review and research Literature review Web based learning, review of the resources
4 Literature review and research Literature review Web based learning, review of the resources
5 Literature review and research Literature review Web based learning, review of the resources
6 Literature review and research Literature review Web based learning, review of the resources
7 Literature review and research Literature review Web based learning, review of the resources
8 Homework-Presentation of the report draft Preparing a report draft Individual assignments, presentation
9 Data synthesis Reading Reading, independent study
10 Data synthesis Reading Reading, independent study
11 Data synthesis Reading Reading, independent study
12 Data synthesis Reading Reading, independent study
13 Report writing Report writing Readin and writing a report, Independent study
14 Report writing Report writing Reading and writing a report, Independent study
15 Report writing Report writing Reading and writing a report, Independent study
16/17 Presentation Power point presentation Individual assignments, presentation


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)
Required Course Material(s)  All resorces on the field, Cochraine, Pubmed, Ovid, ect


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 0 60
    Homeworks/Projects/Others 1 40
Total 100
Rate of Semester/Year Assessments to Success 40
 
Final Assessments 100
Rate of Final Assessments to Success 60
Total 100

  Contribution of the Course to Key Learning Outcomes
# Key Learning Outcome Contribution*
1 Students design scientific research studies in order to give response to the problem arising from health and clinical sciences 2
2 Students provide consulting services by using effective communication skills; take part in research teamworks; defend the ethical rules. 0
3 Students collect data from research studies, analyze, and make inferences 4
4 Students design health survey, determine the sampling method and conduct the survey 0
5 Students knows the system of international classification of diseases, obtain and analyze hospital statistics. 0
6 Students select the appropriate statistical procedure for analysis , apply and make inferences. 0
7 Students use the necessary statistical packages for analysis, if necessary write and develop software. 0
8 Students select and use proper statistical procedure for diagnosis and in making inferences for the data in health and clinical medicine and provide consultance to clinicians in the field. 0
9 Students comprehends the fundamentals of statistical theory related to the field of health ( probability and bayesian biostatistics). 0
10 Students explain demographic terminologies and statistical methods in the field of health sciences. 0
11 Students understand and use medical terminology. 2
12 Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence 5
13 Students apply analytical procedure to frequently used survival data, multivariate procedure and regression techniques. 0
14 Students follow the latest development in medical informatics and employ frequently used tools and methods. 5
15 Students explain the fundamental terminologies in epidemiology, guide researchers conducting field survey and clinical studies, develop methodologies in determining disease risk factor and disease burden and advise for choosing proper diagnostic test. 0
* Contribution levels are between 0 (not) and 5 (maximum).

  Student Workload - ECTS
Works Number Time (Hour) Total Workload (Hour)
Course Related Works
    Class Time (Exam weeks are excluded) 16 1 16
    Out of Class Study (Preliminary Work, Practice) 16 3 48
Assesment Related Works
    Homeworks, Projects, Others 1 3 3
    Mid-term Exams (Written, Oral, etc.) 0 0 0
    Final Exam 1 5 5
Total Workload: 72
Total Workload / 25 (h): 2.88
ECTS Credit: 3