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  Course Description
Course Name : Mathematical Methods in Statistics I

Course Code : BİS501

Course Type : Optional

Level of Course : Second Cycle

Year of Study : 1

Course Semester : Fall (16 Weeks)

ECTS : 5

Name of Lecturer(s) : Prof.Dr. ZELİHA NAZAN ALPARSLAN

Learning Outcomes of the Course : Defines functions and sketches their graphs
Recognizes trigonometric functions
Computes the limits of continuous function variables
Explains the link between limit and derivative
Computes the first and the second degree derivatives

Mode of Delivery : Face-to-Face

Prerequisites and Co-Prerequisites : None

Recommended Optional Programme Components : None

Aim(s) of Course : To supply the mathematical prerequisites for training in biostatistics.

Course Contents : Functions; Derivatives; Applications of derivatives.

Language of Instruction : Turkish

Work Place : Class


  Course Outline /Schedule (Weekly) Planned Learning Activities
Week Subject Student's Preliminary Work Learning Activities and Teaching Methods
1 Overview Studying the related source reading
2 Functions Studying the related source, problem solving reading
3 Composite functions Studying the related source, problem solving reading
4 Graphs Studying the related source, problem solving reading
5 Trigonometric functions Studying the related source, problem solving reading
6 Limits of trigonometric functions Studying the related source, problem solving reading
7 Limits of continious functions Studying the related source, problem solving reading
8 MID TERM EXAM
9 The derivative Studying the related source reading
10 The derivative and continuity Studying the related source, problem solving reading
11 Derivatives of sums and differences Studying the related source, problem solving reading
12 Derivatives of products and quotients Studying the related source, problem solving reading
13 Derivatives of composite functions Studying the related source, problem solving reading
14 Second derivatives Studying the related source, problem solving reading
15 Derivatives and graphing Studying the related source, problem solving reading
16/17 EXAM


  Required Course Resources
Resource Type Resource Name
Recommended Course Material(s)  Calculus and Analytical Geometry: Sherman Stein, Anthony Barcellos
 Calculus: Ron Larson , Bruce H. Edwards
Required Course Material(s)


  Assessment Methods and Assessment Criteria
Semester/Year Assessments Number Contribution Percentage
    Mid-term Exams (Written, Oral, etc.) 1 25
    Homeworks/Projects/Others 14 75
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 0
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 0
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. 3
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). 5
10 Students explain demographic terminologies and statistical methods in the field of health sciences. 0
11 Students understand and use medical terminology. 0
12 Students develop the ability of critical thinking, make a conclusion with a critical approach to the evidence 0
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. 0
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) 14 3 42
    Out of Class Study (Preliminary Work, Practice) 14 2 28
Assesment Related Works
    Homeworks, Projects, Others 14 3 42
    Mid-term Exams (Written, Oral, etc.) 1 3 3
    Final Exam 1 3 3
Total Workload: 118
Total Workload / 25 (h): 4.72
ECTS Credit: 5