1. SHORT CYCLE - ASSOCIATE'S DEGREE
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Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKNM 201STATISTICS - I3 + 03rd Semester3

COURSE DESCRIPTION
Course Level Associate's Degree
Course Type Elective
Course Objective To teach basic statistics and probabiliy
Course Content Introduction to statistics, Basic contents, Central Tendency Measures, Variablity Measures, Classified Data and Measures, Probability, Discrete Random Variables and Probability Distributions, Continues Random Variables and Probability Distributions,
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Information of basic probability and statistics
2Able to think analitically
3Able to interprete and make decision from numbers/statistics

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13
LO 001 5   3 5     
LO 002 5   3 5     
LO 003 5   3 5     
Sub Total 15   9 15     
Contribution0500030500000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14114
Mid-terms11111
Final examination11111
Total Work Load

ECTS Credit of the Course





78

3
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2017-2018 Fall24SİMGE ŞİMŞEK
Details 2016-2017 Fall24SİMGE ŞİMŞEK


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKNM 201 STATISTICS - I 3 + 0 24 Turkish 2017-2018 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Lecturer SİMGE ŞİMŞEK simged@pau.edu.tr ACMYO A0211 %70
Goals To teach basic statistics and probabiliy
Content Introduction to statistics, Basic contents, Central Tendency Measures, Variablity Measures, Classified Data and Measures, Probability, Discrete Random Variables and Probability Distributions, Continues Random Variables and Probability Distributions,
Topics
WeeksTopics
1 Introduction to Statistics and Basic Concepts
2 Arranging and Presenting of Statistical Data: Tables and Graphs
3 Measures of Central Tendency
4 Measures of Variability
5 Introduction to Probability and Basic Concepts
6 Probability Rules
7 Midterm Exam
8 Bivariate Probabilities and Bayes' Theorem
9 Introduction to Probability Distributions for Discrete random Variables
10 Properties of Discrete random Variables
11 Binomial, Poisson and Hypergeometric Probability Distributions
12 Jointly Distributed Discrete Random Variables
13 Introduction to Probability Distributions for Continuous Random Variables
14 Normal Distribution
Materials
Materials are not specified.
Resources
ResourcesResources Language
Statistics for Business and Economics, Paul Newbold, William L. Carlson, Betty Thorne, Eight Ed., New Jersey, 2012.English
İşletme ve İktisat İçin İstatistik, Paul Newbold (Çev.: Ümit Şenesen), Literatür Yayınevi, 2009.Türkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes