BST215 StatisticsIstanbul Okan UniversityDegree Programs Information Systems and TechnologiesGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Information Systems and Technologies
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

General course introduction information

Course Code: BST215
Course Name: Statistics
Course Semester: Fall
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 6
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
Type of course: Compulsory
Course Level:
Bachelor TR-NQF-HE:6. Master`s Degree QF-EHEA:First Cycle EQF-LLL:6. Master`s Degree
Mode of Delivery: Face to face
Course Coordinator : Öğr.Gör. HALİME SUVAY EKER
Course Lecturer(s): Dr.Öğr.Üyesi NURŞEN TOPÇUBAŞI
Course Assistants:

Course Objective and Content

Course Objectives: The aim of this course is to teach the basic concepts of statistics, statistical interpretation, hypothesis testing and data analysis in social studies. In addition, it provides students to apply statistical knowledge and skills effectively in their research.
Course Content: Measures of central tendency (mean, median, mode, range); measures of dispersion (variance, standard deviation); histogram; diagrams, charts and plots, distinguishing between sample and thepopulation; probability; permutation; combination; probability rules; bivariate probability, joint probability; conditional probability; Bayes’ theorem, discrete and continuous variables
and probability distributions (binomial, Poisson, exponential distributions); expected value; sampling and sampling distribution (sampling distribution of the sample mean and sample proportion);

Learning Outcomes

The students who have succeeded in this course;
Learning Outcomes
1 - Knowledge
Theoretical - Conceptual
1) Students will be able to explain the basic concepts of statistics
2 - Skills
Cognitive - Practical
1) Students will be able to calculate the probability of an event
2) Students will be able to make probability calculations using abrupt and continuous distributions.
3) Students will be able to use the appropriate mean and variability measure for any data set.
3 - Competences
Communication and Social Competence
Learning Competence
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week Subject Related Preparation
1) Statistical Unit, Measurement Levels
2) Statistical Series (List, Simple, Frequency, Grouped, Cumulative, Compound Series)
3) Graphics (Circle, Cartesian Coordinated,…)
4) Measures of Central Tendency (Arithmetic, Weighted, Square Mean)
5) Measures of Central Tendency (Median, Cartils and Mode)
6) Measures of Variability (Standard Deviation, Variance in Simple and Frequency Series)
7) Measures of Variability (Standard Deviation in Grouped Series, Variance) - Review
8) Midterm
9) Experiment, Sample Point, Sample Space; Operations on Events; Factorial, Combination
10) Probability Calculator
11) Conditional Probability and Multiplication Rule
12) Some Discrete Probability Distributions (Bernoulli, Binomial, Poisson)
13) Continuous Probability Distributions (Uniform and Normal Distribution)
14) Continuous Probability Distributions (Normal Distribution Applications) - Review

Sources

Course Notes / Textbooks: Principles of Applied Statistics, Professor D. R. Cox, Professor Christl A. Donnelly,
Cambridge University Press 2011
References: Applied Statistics : From Bivariate Through Multivariate Techniques, Rebecca M.
Warner, SAGE Publications Inc, USA, 2012

Course-Program Learning Outcome Relationship

Learning Outcomes

1

1

1

2

Program Outcomes
1) Having knowledge and skills in software development for different environments, systems management, network security, data and database management systems.
2) Keeping up-to-date with current issues about new information systems that are the result of rapid change of information technologies.
3) Be aware of the importance of Information Systems' stratagic position in the firm and its role in the creation of new business strategies.
4) To be able to explain the ideas and suggestions that is related to the field of Information Systems as in writing and orally.
5) ability to carry out an independent study on the subjects requiring expertise in the field of Information Systems.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Having knowledge and skills in software development for different environments, systems management, network security, data and database management systems. 3
2) Keeping up-to-date with current issues about new information systems that are the result of rapid change of information technologies.
3) Be aware of the importance of Information Systems' stratagic position in the firm and its role in the creation of new business strategies. 1
4) To be able to explain the ideas and suggestions that is related to the field of Information Systems as in writing and orally.
5) ability to carry out an independent study on the subjects requiring expertise in the field of Information Systems. 4

Learning Activity and Teaching Methods

Individual study and homework
Lesson
Homework
Problem Solving
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Midterms 1 % 40
Final 1 % 60
total % 100
PERCENTAGE OF SEMESTER WORK % 40
PERCENTAGE OF FINAL WORK % 60
total % 100

Workload and ECTS Credit Grading

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 42 588
Homework Assignments 3 9 27
Midterms 1 1 1
Final 1 1 1
Total Workload 617