STAT495 APPLICATIONS IN STATISTICS

Course Code:2460495
METU Credit (Theoretical-Laboratory hours/week):3 (2.00 - 2.00)
ECTS Credit:8.0
Department:Statistics
Language of Instruction:English
Level of Study:Undergraduate
Course Coordinator:Prof.Dr. ÖZLEM İLK DAĞ
Offered Semester:Fall Semesters.

Course Objectives

This course will investigate disaster and emergency management and data stragegies in crisis & non-crisis times. How statistics can help to support policy?


Course Content

Applications of different statistical methods in various disciplines such as medicine, science, engineering and social sciences. Presentation of projects involving these applications as group studies.
Prerequisite: STAT 156


Course Learning Outcomes

  • To learn about disaster, emergency and crisis management
  • To develop skills to understand data policy in times of crisis

 


Program Outcomes Matrix

Level of Contribution
#Program Outcomes0123
1Applying the knowledge of statistics, mathematics and computer to statistical problems and developing analytical solutions.
2Defining, modeling and solving real life problems that involve uncertainty, and interpreting results.
3To decide on the data collection technique, and apply it through experiment, observation, questionnaire or simulation.
4Analysing small and big volumes of data and interpreting results.
5Utilizing up-to-date techniques, computer hardware and software required for statistical applications; developing software programs and numerical solutions for specific problems when necessary.
6Taking part in intradisciplinary and interdisciplinary teamwork, using time efficiently, taking leadership responsibilities and being entrepreneurial.
7Taking responsibility in individual work and offering authentic solutions.
8Following contemporary developments and publications in statistical science, conducting research, being open to novelty and thinking critically.
9Efficiently communicating in Turkish and English to define and analyze statistical problems and to interpret the results.
10Having a professional and ethical sense of responsibility.
11Developing computational solutions to statistical problems that cannot be solved analytically.
12Having theoretical background and developing new theories in statistics, building relations between theoretical and practical knowledge.
13Serving the society with the expertise in the field.

0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution