TÜRKÇE
ENGLISH
Information
| Unit | FACULTY OF ENGINEERING |
| ENVIRONMENTAL ENGINEERING PR. | |
| Code | CMZ227 |
| Name | Statistics |
| Term | 2019-2020 Academic Year |
| Semester | 3. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Üniversite Dersi |
| Type | Normal |
| Label | C Compulsory |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. GALİP SEÇKİN |
| Course Instructor |
Prof. Dr. GALİP SEÇKİN
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
Physical, biological, and chemical treatment, the statistical analysis of the measured data to understand and graphical representations.
Course Content
Regression (linear and multiple regression), correlation, analysis of variance and understanding of the error probability and sampling distributions
Course Precondition
-
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learn statistics topics. |
| LO02 | Interpret the basic knowledge of statistics. |
| LO03 | They can do basic statistical calculations. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Becomes equipped with adequate knowledge in mathematics, science, environment and engineering sciences | 0 |
| PLO02 | - | Becomes able to apply theoretical knowledge in mathematics, science, environment and engineering sciences | 0 |
| PLO03 | - | Determines, describes, formulates and gains capabilities in solving engineering problems | 0 |
| PLO04 | - | Analyzes a system, components of the system or process, gains the designing capabilities of the system under the real restrictive conditions. | 5 |
| PLO05 | - | Chooses ans uses the ability to apply modern tools and design technics, suitable analytical methods, modeling technics for the engineering applications | 4 |
| PLO06 | - | Designs and performs experiments, data collection, has the ability of analyzing results | 0 |
| PLO07 | - | Works individually and in inter-disciplinary teams effectively | 0 |
| PLO08 | - | Becomes able to reach knowledge and for this purpose does literature research and to uses data base and other information sources | 5 |
| PLO09 | - | Becomes aware of the necessity of lifelong learning and continuously self renewal | 3 |
| PLO10 | - | Capable of effective oral and written skills in at least one foreign language for technical or non-technical use | 3 |
| PLO11 | - | Effective use of Information and communication technologies | 0 |
| PLO12 | - | Defines necessities in learning in scientific, social, cultural and artistic areas and improves himself/herself accordingly. | 3 |
| PLO13 | - | Professional and ethical responsibility | 0 |
| PLO14 | - | Project management, workplace practices, environmental and occupational safety; awareness about the legal implications of engineering applications | 2 |
| PLO15 | - | Becomes aware of universal and social effects of engineering solutions and applications, entrepreneurship and innovation and to have idea of contemporary issues | 2 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Set Theory and the Sample Space | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 2 | Permutations and Combinations | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 3 | Introduction to Probability | review reated sections in guidance material | |
| 4 | Random Variables and Distributions | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 5 | Some Discrete Probability Distributions | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 6 | Distribution of Continuous Random Variables | review reated sections in guidance material | |
| 7 | Sample (Sample) Selection and Data Preparation and Analysis | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 8 | Mid-Term Exam | Review of course materials | |
| 9 | Sampling Distributions and Estimation | review reated sections in guidance material | |
| 10 | Statistical Inference: Hypothesis Testing | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 11 | Regression and Correlation | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 12 | Analysis of Variance | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 13 | Index Numbers | review reated sections in guidance material | |
| 14 | Time Series Analysis | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 15 | Probability Problems | review reated sections in guidance material, subject titles for presentations in the second half of the semester given to students should be investigated | |
| 16 | Term Exams | Class notes and the presentations made in class are reviewed | |
| 17 | Term Exams | Class notes and the presentations made in class are reviewed |
Assessment (Exam) Methods and Criteria
| Assessment Type | Midterm / Year Impact | End of Term / End of Year Impact |
|---|---|---|
| 1. Midterm Exam | 100 | 40 |
| General Assessment | ||
| Midterm / Year Total | 100 | 40 |
| 1. Final Exam | - | 60 |
| Grand Total | - | 100 |