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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| STATISTICS PR. | |
| Code | ISB365 |
| Name | Statistical Application in MatLab |
| Term | 2020-2021 Academic Year |
| Semester | 5. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Label | E Elective |
| Mode of study | Uzaktan Öğretim |
| Catalog Information Coordinator | Doç. Dr. SELMA TOKER KUTAY |
| Course Instructor |
Doç. Dr. SELMA TOKER KUTAY
(Güz)
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The aim of this course is to teach the basics of the MATLAB program and gain the ability to apply basic statistical knowledge using this program.
Course Content
Introduction to MATLAB program, Data analysis, Graphs, Statistical data analysis, Descriptive statistics and tables, Operations on mathematical functions, Data derivation and distribution fitting are included in this course.
Course Precondition
Resources
Notes
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Learns the basics of the MATLAB program. |
| LO02 | Learns to do the statistical data analysis with MATLAB program. |
| LO03 | Learns fitting distribution to data. |
| LO04 | Learns to do operations related to mathematical functions. |
| LO05 | Learns to import and export data with MATLAB program. |
| LO06 | Learns to draw graphs in MATLAB program. |
| LO07 | Learns to obtain descriptive statistics with MATLAB program. |
| LO08 | Creates frequency table and cross table with MATLAB program. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | - | Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics | 4 |
| PLO02 | - | Emphasize the importance of Statistics in life | 3 |
| PLO03 | - | Define basic principles and concepts in the field of Law and Economics | 0 |
| PLO04 | - | Produce numeric and statistical solutions in order to overcome the problems | 4 |
| PLO05 | - | Use proper methods and techniques to gather and/or to arrange the data | 4 |
| PLO06 | - | Utilize computer systems and softwares | 4 |
| PLO07 | - | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | 4 |
| PLO08 | - | Apply the statistical analyze methods | 4 |
| PLO09 | - | Make statistical inference(estimation, hypothesis tests etc.) | 4 |
| PLO10 | - | Generate solutions for the problems in other disciplines by using statistical techniques | 3 |
| PLO11 | - | Discover the visual, database and web programming techniques and posses the ability of writing programme | 3 |
| PLO12 | - | Construct a model and analyze it by using statistical packages | 4 |
| PLO13 | - | Distinguish the difference between the statistical methods | 3 |
| PLO14 | - | Be aware of the interaction between the disciplines related to statistics | 2 |
| PLO15 | - | Make oral and visual presentation for the results of statistical methods | 4 |
| PLO16 | - | Have capability on effective and productive work in a group and individually | 3 |
| PLO17 | - | 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 | 2 |
| PLO18 | - | Develop scientific and ethical values in the fields of statistics-and scientific data collection | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Introduction to MATLAB program | Source reading | |
| 2 | The MATLAB desktop and sample program | Review of the previous lecture, Source reading | |
| 3 | Importing and exporting data | Review of the previous lecture, Source reading | |
| 4 | Processing with missing data | Review of the previous lecture, Source reading | |
| 5 | Introduction to Graphics | Review of the previous lecture, Source reading | |
| 6 | Basic 2-D graphs and 3-D plots | Review of the previous lecture, Source reading | |
| 7 | Introduction to statistical data analysis | Review of the previous lecture, Source reading | |
| 8 | Mid-Term Exam | General review | |
| 9 | Obtaining descriptive statistics | Review of the previous lecture, Source reading | |
| 10 | Creating a frequency table and a cross table | Review of the previous lecture, Source reading | |
| 11 | Graphical representation of the data | Review of the previous lecture, Source reading | |
| 12 | Introduction to simulation | Review of the previous lecture, Source reading | |
| 13 | Random number generation and Normal random numbers | Review of the previous lecture, Source reading | |
| 14 | Distribution fitting | Review of the previous lecture, Source reading | |
| 15 | Operations related to mathematical functions | Review of the previous lecture, Source reading | |
| 16 | Term Exams | Review of the previous lecture, Source reading | |
| 17 | Term Exams | Review of the previous lecture, Source reading |
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 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||