Information
Course Goal / Objective
Course Content
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics | |
| PLO02 | - | Emphasize the importance of Statistics in life | |
| PLO03 | - | Define basic principles and concepts in the field of Law and Economics | |
| PLO04 | - | Produce numeric and statistical solutions in order to overcome the problems | |
| PLO05 | - | Use proper methods and techniques to gather and/or to arrange the data | |
| PLO06 | - | Utilize computer systems and softwares | |
| PLO07 | - | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | |
| PLO08 | - | Apply the statistical analyze methods | |
| PLO09 | - | Make statistical inference(estimation, hypothesis tests etc.) | |
| PLO10 | - | Generate solutions for the problems in other disciplines by using statistical techniques | |
| PLO11 | - | Discover the visual, database and web programming techniques and posses the ability of writing programme | |
| PLO12 | - | Construct a model and analyze it by using statistical packages | |
| PLO13 | - | Distinguish the difference between the statistical methods | |
| PLO14 | - | Be aware of the interaction between the disciplines related to statistics | |
| PLO15 | - | Make oral and visual presentation for the results of statistical methods | |
| PLO16 | - | Have capability on effective and productive work in a group and individually | |
| PLO17 | - | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | |
| PLO18 | - | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
| Week | Topic | Preparation | Methods |
|---|
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 5 | 5 | 25 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 10 | 10 |
| Final Exam | 1 | 15 | 15 |
| Total Workload (Hour) | 134 | ||
| Total Workload / 25 (h) | 5,36 | ||
| ECTS | 5 ECTS | ||