ISB497 Risk Analysis

5 ECTS - 3-0 Duration (T+A)- 7. Semester- 3 National Credit

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

Update Time: 07.12.2022 01:39