TÜRKÇE
ENGLISH
Information
| Code | ISB497 |
| Name | Risk Analysis |
| Semester | 7. Semester |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 5 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. DENİZ ÜNAL ÖZPALAMUTCU |
Course Goal
Risk analysis proocess, risk assesment, risk models and applications
Course Content
Risk analysis proocess, risk assesment, risk models and applications
Course Precondition
None
Resources
Risk Analysis-Terje Aven
Notes
Risk Analysis-Terje Aven
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Students who attend this course will have the capability of the Risk analysis process |
| LO02 | Students who attend this course will have the capability of the Risk models |
| LO03 | Students who attend this course will have the capability of the Risk analysis process and applications |
| LO04 | Students who attend this course will have the capability of the selecting risk analysis models |
| LO05 | Students who attend this course will have the capability of the basis of probability and statistics for risk analysis |
| LO06 | Students who attend this course will have the capability of the application for business and industry |
| LO07 | Students who attend this course will have the capability of the risk analysis process for a business organization |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | 3 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer systems and softwares | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | |
| PLO08 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Make statistical inference(estimation, hypothesis tests etc.) | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques | 4 |
| PLO11 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programme | |
| PLO12 | Bilgi - Kuramsal, Olgusal | Construct a model and analyze it by using statistical packages | 3 |
| PLO13 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | 1 |
| PLO14 | Beceriler - Bilişsel, Uygulamalı | Be aware of the interaction between the disciplines related to statistics | 3 |
| PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | 3 |
| PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | |
| PLO17 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | 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 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Qualitative and quantative risk analysis | literature review | Öğretim Yöntemleri: Anlatım |
| 2 | Risk and uncertainty | studying previous lesson | Öğretim Yöntemleri: Beyin Fırtınası |
| 3 | Risk analysis process: planning | studying previous lesson | Öğretim Yöntemleri: Anlatım, Tartışma |
| 4 | Risk analysis process: risk assesment risk process | studying previous lesson | Öğretim Yöntemleri: Gösterip Yaptırma |
| 5 | risk models | studying previous lesson | Öğretim Yöntemleri: Grup Çalışması |
| 6 | risk analysis models | studying previous lesson | Öğretim Yöntemleri: Beyin Fırtınası |
| 7 | selecting risk analysis models | studying previous lesson | Öğretim Yöntemleri: Anlatım |
| 8 | Mid-Term Exam | studying previous lesson | Öğretim Yöntemleri: Anlatım |
| 9 | Mid-term exam | studying previous lesson | Öğretim Yöntemleri: Anlatım |
| 10 | basis of probability and statistics for risk analysis | studying previous lesson | Öğretim Yöntemleri: Anlatım |
| 11 | basis of probability and statistics for risk analysis 2 | studying previous lesson | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 12 | application for business and industry | studying previous lesson | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 13 | application for business and industry 2 | studying previous lesson | Öğretim Yöntemleri: Anlatım, Soru-Cevap |
| 14 | risk analysis process for a business organization | studying previous lesson | Öğretim Yöntemleri: Rol Oynama |
| 15 | risk analysis process for a business organization 2 | studying previous lesson | Öğretim Yöntemleri: Alıştırma ve Uygulama |
| 16 | Term Exams | studying previous lesson | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | studying previous lesson | Ölçme Yöntemleri: Yazılı Sınav |
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 | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 12 | 12 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 114 | ||
| Total Workload / 25 (h) | 4,56 | ||
| ECTS | 5 ECTS | ||