ISTANBUL OKAN UNIVERSITY INFORMATION PACKAGE / COURSE CATALOGUE
| 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: |
|
||||||||
| Language of instruction: | TR | ||||||||
| Course Requisites: | |||||||||
| Does the Course Require Work Experience?: | No | ||||||||
| Type of course: | Compulsory | ||||||||
| Course Level: |
|
||||||||
| 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;
|
|||||||||||||||||||||||||||||||||||
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 | ||