| Course Name | Code | Semester | T+U Hours | Credit | ECTS |
|---|---|---|---|---|---|
| Probability and Statistics | SWE 102 | 2 | 3 + 0 | 3 | 4 |
| Precondition Courses | |
| Recommended Optional Courses | |
| Course Language | English |
| Course Level | Bachelor's Degree |
| Course Type | Compulsory |
| Course Coordinator | Dr.Öğr.Üyesi MUSTAFA AKPINAR |
| Course Lecturers | Dr.Öğr.Üyesi MUSTAFA AKPINAR, |
| Course Assistants | |
| Course Category | Available Basic Education in the Field |
| Course Objective | This course aims to provide an understanding of the basic ideas in probability and statistics. Students will learn data collection, arrange and evaluation. They will learn also the fundamental theory of distribution of random variables, the basic theory and techniques of parameter estimation and tests of hypotheses. It is possible for students to prepare a regression model. |
| Course Content | Definition of statistic, kind of statistic and application areas. Variables,graps and frecuency Dispertion. Data collection and evaluation. Averages. Variability measures. Probability, conditional probability. Multiplication rule. Dependent and independent events. Bayes rule. Random variables. Probability function. Dispertion function. Expected value. Variance and standart deviation. Continual random variables. Interrupted Dispertion. Continual distribution. Hypothesis tests. |
| # | Course Learning Outcomes | Teaching Methods | Assessment Methods |
|---|---|---|---|
| 1 | Student defines concepts related to probability and statistics | Lecture, Question-Answer, Discussion, | Testing, Homework, |
| 2 | Mathematically models complex probability problems expressed verbally | Lecture, Question-Answer, Discussion, | Testing, Homework, |
| 3 | Calculates expectations and variances of the results of repeated problems | Lecture, Question-Answer, | Testing, |
| 4 | Provides solutions to daily and Computer Engineering problems with proper probability distributions | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, Homework, |
| 5 | Solves probability problems with computer aid | Lecture, Question-Answer, Drilland Practice, Lab / Workshop, | Homework, |
| 6 | Gains ability to solve a problem with theoretical and statistical techniques | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, |
| 7 | Statistically analyzes collected data | Lecture, Question-Answer, Discussion, Drilland Practice, Problem Solving, | Homework, |
| 8 | Forms and solves hypothesis tests | Lecture, Question-Answer, Discussion, Drilland Practice, | Testing, |
| 9 | Sorting the frequency distribution can prepare raw data and measures of central tendency of a series (mean, median, mode) and variability can be calculated. | Lab / Workshop, Problem Solving, | Testing, |
| Week | Course Topics | Preliminary Preparation |
|---|---|---|
| 1 | Introduction of course | |
| 2 | Introduction, Statistics, Definations and Concepts | |
| 3 | Descriptive Statistics | |
| 4 | Descriptive Statistics | |
| 5 | Probability, Definitions, Properties, Importance in Statistics | |
| 6 | Probability, Definitions, Properties, Importance in Statistics | |
| 7 | Probability Distributions | |
| 8 | Probability Distributions | |
| 9 | Examples | |
| 10 | Hypothesis Tests | |
| 11 | Hypothesis Tests | |
| 12 | Multiple Linear Regression | |
| 14 | Variance Analysis |
| Resources | |
|---|---|
| Course Notes | |
| Course Resources | |
| Order | Program Outcomes | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions. | X | |||||
| 2 | An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations. | X | |||||
| 3 | An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently. | X | |||||
| 4 | An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods. | X | |||||
| 5 | An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research. | X | |||||
| 6 | Understanding, awareness of administration, control, development and security/reliability issues about information technologies. | X | |||||
| 7 | An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility. | X | |||||
| 8 | An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language. | X | |||||
| 9 | An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology. | X | |||||
| 10 | Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society. | X | |||||
| 11 | An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications. | X | |||||
| 12 | An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems. | X | |||||
| Evaluation System | |
|---|---|
| Semester Studies | Contribution Rate |
| 1. Ara Sınav | 40 |
| 1. Kısa Sınav | 10 |
| 2. Kısa Sınav | 10 |
| 1. Ödev | 40 |
| Total | 100 |
| 1. Yıl İçinin Başarıya | 60 |
| 1. Final | 40 |
| Total | 100 |
| ECTS - Workload Activity | Quantity | Time (Hours) | Total Workload (Hours) |
|---|---|---|---|
| Course Duration (Including the exam week: 16x Total course hours) | 14 | 3 | 42 |
| Hours for off-the-classroom study (Pre-study, practice) | 14 | 2 | 28 |
| Mid-terms | 1 | 12 | 12 |
| Quiz | 2 | 4 | 8 |
| Assignment | 1 | 12 | 12 |
| Final examination | 1 | 10 | 10 |
| Total Workload | 112 | ||
| Total Workload / 25 (Hours) | 4.48 | ||
| dersAKTSKredisi | 4 | ||