Information
Code | ISB497 |
Name | Risk Analysis |
Term | 2022-2023 Academic Year |
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 Instructor |
Prof. Dr. DENİZ ÜNAL ÖZPALAMUTCU
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
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 |