| CHILD DEVELOPMENT (TURKISH) | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| EEE5022 | Applied Statistics | Spring | 3 | 0 | 3 | 9 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
| Language of instruction: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. SAEID KARAMZADEH |
| Course Lecturer(s): |
Prof. Dr. SELİM ZAİM |
| Recommended Optional Program Components: | none.......... |
| Course Objectives: | The course introduces fundamental topics in statistics and implements its applications to industrial, medical, financial, energy and similar type very large-size datasets to infer meaninful statistical results. The course is for gradute students with no significant background on this subject. Implementations will be performed on the open source statistical software R. Introduction to R programming will be given. |
|
The students who have succeeded in this course; I. Identify basic terms in statistics. II. Gain ability to use and apply basic methods and programming tools used in statistics over various engineering disciplines. III. Ability to explore data and its relationships. IV. Ability to perform hypothesis testing for statistical problems. V. Perform statistical inference over statistical data. |
| Topics include: Introduction to R programming, Sampling, Data Exploration, Exploring Relationships, Probability, Random Variables and Probability Distributions, Estimation, Hypothesis Testing, Statistical Inference, Multiple Testing Correction, ANOVA, Analysis of Categorical Variables, Regression Analysis, Bayesian Analysis, Survival Analysis, Over Representation Analysis, Meta Analysis. |
| Week | Subject | Related Preparation |
| 1) | Introduction | |
| 2) | Introduction to R statistical programming | |
| 3) | Term Project | |
| 4) | Data Exploration with R | |
| 5) | Visualizing and Summarizing Relationships | |
| 6) | Probability and Random Variables | |
| 7) | Estimation in datasets | |
| 8) | Hypothesis Testing for various engineering applications | |
| 9) | Statistical Inference over various large datasets | |
| 10) | ANOVA | |
| 11) | Analysis of Categorical Variables | |
| 12) | Regression and Bayesian Analysis | |
| 13) | Survival analysis | |
| 14) | Over Representation Analysis |
| Course Notes / Textbooks: | Principles of Applied Statistics (Paperback), by D. R. Cox, Christl A. Donnelly 2011 ISBN-10: 1107644453 | ISBN-13: 978-1107644458 |
| References: | Introductory Statistics with R Peter Dalgaard 2011 ISBN 978-0-387-79053-4 |
| Semester Requirements | Number of Activities | Level of Contribution |
| Project | 1 | % 30 |
| Midterms | 1 | % 30 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 30 | |
| PERCENTAGE OF FINAL WORK | % 70 | |
| Total | % 100 | |
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Study Hours Out of Class | 14 | 42 |
| Project | 1 | 30 |
| Midterms | 1 | 40 |
| Final | 1 | 50 |
| Total Workload | 204 | |
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | To gain both theoretical and practical knowledge about physical, cognitive, social-emotional aspects of child development. | 4 |
| 2) | To display actions in professional practice based on ethical principles and values. | 5 |
| 3) | To adopt the principle of lifelong learning, using efficient ways for accessing information. | 5 |
| 4) | To know the stages of child development and to be able to use models / theories efficiently for supporting children's cognitive, affective and psycho-motor development. | 5 |
| 5) | To plan, implement and evaluate professional projects, research and events with a sense of social responsibility, | 5 |
| 6) | To be able to use effective communication methods in counseling and child and family-based guidance. | 3 |
| 7) | To be sensitive to the child and family-related issues taking into account the child's stages of development, and to implement strategies for personal development of child and education methods which are vital for leading effective and productive life. | 5 |
| 8) | To use the education and communication materials according to the child development stage, and to create proper educational environment. | 5 |
| 9) | To take responsibilities in the field of child development and education using interdisciplinary approach, and to use information technologies, and to engage in projects and activities. | 5 |
| 10) | To use health information technologies for research in the field of child development. | 5 |
| 11) | To be able to monitor occupational information using at least one foreign language, to collaborate and communicate with colleagues at international level. | 5 |
| 12) | To become a good example for colleagues and society, and represent efficiently the professional identity using advanced knowledge about child development. | 5 |