Statistic For Engineerings
Computer Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistic For Engineerings | MUH445 | Elective | Bachelor's degree | 4 | Fall | 5 |
Name of Lecturer(s)
Associate Prof. Dr. Orhan AKBULUT
Learning Outcomes of the Course Unit
1) Learns the field of statistics and how engineers use statistical methodology.
2) Consolidates fundamental concepts of probability, discrete and continuous random variables, probability distributions, and joint probability distributions.
3) Learns random sampling, histograms.
4) Explains confidence interval.
5) Learns hypothesis tests for samples.
6) Learns and designs simple and multiple linear regression for a specific problem
7) Learns analysis of variance-covariance
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | Middle | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
| 2 | Middle | Low | Low | Low | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | Middle | Low | Low | Low | Low | Low | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | Middle | Low | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | Middle | Low | Low | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | Middle | Low | Low | Low | Low | Low | Low | No relation | No relation | No relation | No relation | No relation | |
| 7 | Middle | Low | Low | Low | Low | Low | Low | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Probability and Random Variables
Course Contents
Mean, Variance, Analysis of Variance-Covariance, Confidence Interval, Random Sampling, Discrete Random Variables, Continuous Random Variables.
Weekly Schedule
1) Introduction to Statistic2) Probability
3) Discrete Random Variables and Probability
4) Continuous Random Variables and Probability
5) Joint Probability Distributions
6) Random Sampling and Data Description
7) Presenting and Summarizing the Data
8) Point Estimation of Parameters
9) Statistical Intervals for a Single Sample
10) Tests of Hypotheses for a Single Sample
11) Statistical Inference for Two Samples
12) Linear Regression and Correlation
13) Multiple Linear Regression
14) The Analysis of Variance- Covariance
15) Final Exam
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
1) Lecture
2) Simulation
3) Self Study
4) Problem Solving
5) Project Based Learning
Assessment Methods and Criteria
Contribution of Project to Course Grade |
50% |
|---|---|
Contribution of Final Examination to Course Grade |
50% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required