BL236 Statistics

5 ECTS - 3-0 Duration (T+A)- 4. Semester- 3 National Credit

Information

Unit KOZAN VOCATIONAL SCHOOL
Code BL236
Name Statistics
Term 2020-2021 Academic Year
Semester 4. Semester
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 5 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Ön Lisans Dersi
Type Normal
Label E Elective
Mode of study Uzaktan Öğretim
Catalog Information Coordinator Dr. Öğr. Üyesi HASAN BEYTULLAH DÖNMEZ
Course Instructor ESAT KARAKÖSE (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

Statistical data collection, organization and the optimum use of resources that can help to solve problems in various fields , to make equipment that can respond to the needs of modern life

Course Content

Classification of data, central tendency and distribution measures, frequency tables, discrete and continuous probability distributions, probability, regression and correlation coefficients.

Course Precondition

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Define basic statistical concepts.
LO02 Determine appropriate probability distributions for the random events experienced in business management today and calculate the probabilities of such events.
LO03 Calculate and interpret descriptive statistics from a given set of data.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Lists basic, current and applied knowledge about Computer Technologies.
PLO02 Bilgi - Kuramsal, Olgusal Remembers knowledge about occupational health and safety, environmental awareness, and quality processes.
PLO03 Bilgi - Kuramsal, Olgusal Lists basic electronic components comprising computer hardware and their operations.
PLO04 Bilgi - Kuramsal, Olgusal Remembers the knowledge about Atatürk's Principles and History of Revolution.
PLO05 Beceriler - Bilişsel, Uygulamalı Keeps track of current developments and applications in computer programming, and utilizes them effectively.
PLO06 Beceriler - Bilişsel, Uygulamalı Solves problems in the field of computer programming.
PLO07 Beceriler - Bilişsel, Uygulamalı Creates algorithms and data structures, and performs mathematical calculations. 5
PLO08 Beceriler - Bilişsel, Uygulamalı Explains and implements web programming technologies.
PLO09 Beceriler - Bilişsel, Uygulamalı Performs database design and management.
PLO10 Beceriler - Bilişsel, Uygulamalı Tests software and resolves errors.
PLO11 Beceriler - Bilişsel, Uygulamalı Can utilize software and package programs in the field of computer programming.
PLO12 Beceriler - Bilişsel, Uygulamalı Explains, designs and installs network systems.
PLO13 Beceriler - Bilişsel, Uygulamalı Uses word processor, spreadsheet, presentation programs.
PLO14 Yetkinlikler - İletişim ve Sosyal Yetkinlik Can effectively present thoughts on computer technologies through written and verbal communication, expressing them clearly and comprehensibly.
PLO15 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Takes responsibility as a team member to solve unforeseen complex problems encountered in practical applications of computer programming.
PLO16 Yetkinlikler - Öğrenme Yetkinliği Has awareness in career management and lifelong learning.
PLO17 Yetkinlikler - Alana Özgü Yetkinlik Has societal, scientific, cultural, and ethical values ​​in the collection, application, and announcement of results related to computer technologies.
PLO18 Yetkinlikler - İletişim ve Sosyal Yetkinlik Follows developments in the field using a foreign language and communicates with colleagues.
PLO19 Yetkinlikler - İletişim ve Sosyal Yetkinlik Can effectively communicate in Turkish both in written and oral forms.


Week Plan

Week Topic Preparation Methods
1 Definition of statistic and usage areas Straight Lecture, Problem Solving
2 Basic probability concepts and random event 1 Straight Lecture, Problem Solving
3 Basic probability concepts and random event 2 Straight Lecture, Problem Solving
4 Basic probability concepts and random event 3 Straight Lecture, Problem Solving
5 Probability density and cumulative distribution functions 1 Straight Lecture, Problem Solving
6 Probability density and cumulative distribution functions 2 Straight Lecture, Problem Solving
7 Variance Straight Lecture, Problem Solving
8 Mid-Term Exam
9 Basic properties of probability distributions 1 Straight Lecture, Problem Solving
10 Basic properties of probability distributions 2 Straight Lecture, Problem Solving
11 Some continuous probability distributions 1 Straight Lecture, Problem Solving
12 Some continuous probability distributions 2 Straight Lecture, Problem Solving
13 Statistical series 1 Straight Lecture, Problem Solving
14 Statistical series 2 Straight Lecture, Problem Solving
15 Descriptive statistics: Measures of central tendency 1 Straight Lecture, Problem Solving
16 Term Exams
17 Term Exams


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 14.05.2024 11:59