BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| INTERIOR ARCHITECTURE AND ENVIRONMENTAL DESIGN | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ECO2062 | Applied Statistics | Spring | 3 | 0 | 3 | 6 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Non-Departmental Elective |
| Course Level: | Bachelor’s Degree (First Cycle) |
| Mode of Delivery: | Hybrid |
| Course Coordinator : | Dr. Öğr. Üyesi SERKAN YEŞİLYURT |
| Course Lecturer(s): |
Dr. Öğr. Üyesi AYSE ERTUĞRUL BAYKAN Prof. Dr. İPEK ALTINBAŞAK FARİNA |
| Recommended Optional Program Components: | None |
| Course Objectives: | To apply and interpret the results of a variety of statistical techniques from both descriptive and inferential statistics |
Learning Outcomes
|
The students who have succeeded in this course; 1. The concept of the sampling distribution and to compute probabilities related to the sample mean and the sample proportion 2. To construct and interpret confidence interval estimates for the mean and the proportion 3. The basic principles of hypothesis testing and how to use hypothesis testing to test a mean or proportion 4. How to use hypothesis testing for comparing the difference between the means and proportion of populations 5. How to use one-way and two-way analysis of variance to test for differences among the means of several populations 6. How and when to use the chi-square test for contingency tables and how to use the chi-square test for a variance or standard deviation 7. How to use regression analysis to investigate the relationship between variables. |
Course Content
| Sampling and Sampling Distributions Sampling Distribution Properties Point and Interval Estimates Confidence Interval for population mean Confidence Intervals for the Population Proportion, π Fundamentals of Hypothesis Testing: One-Sample Tests Hypothesis Testing for Mean and Proportion Two-Sample Tests for Mean Two-Sample Tests for Proportion One-Way Analysis of Variance Two-Way Analysis of Variance Chi-Square Tests and Nonparametric Tests Introduction to Simple Linear Regression |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Sampling and Sampling Distributions | |
| 2) | Point and Interval Estimates | |
| 3) | Sampling Distribution Properties | |
| 4) | Confidence Interval for population mean | |
| 5) | Confidence Intervals for the Population Proportion, π | |
| 6) | Fundamentals of Hypothesis Testing: One-Sample Tests | |
| 7) | Hypothesis Testing for Mean and Proportion | |
| 8) | Review | |
| 9) | Two-Sample Tests for Mean | |
| 10) | Two-Sample Tests for Proportion | |
| 11) | Analysis of Variance | |
| 12) | Chi-Square Tests and Nonparametric Tests | |
| 13) | Introduction to Simple Linear Regression | |
| 14) | Review |
Sources
| Course Notes / Textbooks: | Basic Business Statistics Concepts and Applications Mark L. Brenson, David M. Levine, Timothy C. Krehbiel, Pearson Education Prentice Hal. |
| References: | . |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Homework Assignments | 4 | % 20 |
| Midterms | 1 | % 35 |
| Final | 1 | % 45 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 55 | |
| PERCENTAGE OF FINAL WORK | % 45 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 16 | 3 | 48 |
| Study Hours Out of Class | 14 | 7 | 98 |
| Midterms | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 150 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Setting up various spaces in national and international contexts, carrying out designs, planning and applications that could satisfy various user groups and respond various requirements in the field of Interior Architecture, | |
| 2) | Analyzing the information gathered from the framework of actual physical, social and economical constraints and user requirements, and synthesizing these with diverse knowledge and considerations in order to create innovative spatial solutions, | |
| 3) | Generating creative, innovative, aesthetic and unique spatial solutions by using tangible and abstract concepts, | |
| 4) | Using at least one of the illustration and presentation technologies competently, that the field of interior architecture requires, | |
| 5) | Reporting, presenting and transferring the design, practice and research studies to the specialists or laymen by using visual, textual or oral communication methods, efficiently and accurately, | |
| 6) | Embracing and prioritizing man-environment relationships, user health, safety and security, and universal design principles in the field of interior architecture, | |
| 7) | Design understanding and decision making that respects social and cultural rights of the society, cultural heritage and nature, | |
| 8) | Being aware of national and international values, following developments and being equipped about ethical and aesthetical subjects in the fields of interior architecture, design and art, | |
| 9) | Having absolute conscious about legal regulations, standards and principles; and realizing professional ethics, duties and responsibilities in the field of Interior Architecture, |