BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| COMPUTER ENGINEERING (ENGLISH, NON-THESIS) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ENM5203 | Statistical Data Analysis and Decision Making | Fall | 3 | 0 | 3 | 12 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Dr. Öğr. Üyesi ETHEM ÇANAKOĞLU |
| Course Lecturer(s): |
Prof. Dr. SELİM ZAİM Dr. Öğr. Üyesi YÜCEL BATU SALMAN |
| Recommended Optional Program Components: | N/A |
| Course Objectives: | This course provides the use of statistical and quantitative methods using computer technology to examine and explore data. It aims to build and interpret models from this data for decision making in all functional areas. |
Learning Outcomes
|
The students who have succeeded in this course; Ability to make decisions with statistical methods, ability to collect meaningful data, ability to interpret data and transform it into information/knowledge |
Course Content
| Methods covered include: collecting data, summarizing and exploring data, hypothesis testing, confidence intervals, regression analysis, ANOVA. |
Weekly Detailed Course Contents
| Week | Subject | Related Preparation |
| 1) | Introduction: Description of data | |
| 2) | Data collection | |
| 3) | Descriptive Statistics | |
| 4) | Confidence intervals | |
| 5) | Hypothesis testing | |
| 6) | Hypothesis testing | |
| 7) | Midterm | |
| 8) | Regression analysis | |
| 9) | Regression analysis | |
| 10) | ANOVA | |
| 12) | ANOVA | |
| 12) | SPSS | |
| 13) | Project presentations | |
| 14) | Project presentations |
Sources
| Course Notes / Textbooks: | N/A |
| References: | Statistics for Business: Decision Making and Analysis, Robert A. Stine, Dean Foster, Pearson, 2011, 0321123913 |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Project | 1 | % 35 |
| Midterms | 1 | % 25 |
| Final | 1 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 25 | |
| PERCENTAGE OF FINAL WORK | % 75 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 4 | 56 |
| Presentations / Seminar | 1 | 15 | 15 |
| Project | 1 | 90 | 90 |
| Midterms | 1 | 40 | 40 |
| Final | 1 | 60 | 60 |
| Total Workload | 303 | ||
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Define and manipulate advanced concepts of Computer Engineering | |
| 2) | Use math, science, and modern engineering tools to formulate and solve advenced engineering problems | |
| 3) | Notice, detect, formulate and solve new engineering problems. | |
| 4) | Review the literature critically pertaining to his/her research projects, and connect the earlier literature to his/her own results | |
| 5) | Follow, interpret and analyze scientific researches in the field of engineering and use the knowledge in his/her field of study | |
| 6) | Work effectively in multi-disciplinary research teams | |
| 7) | Acquire scientific knowledge | |
| 8) | Find out new methods to improve his/her knowledge. | |
| 9) | Effectively express his/her research ideas and findings both orally and in writing | |
| 10) | Defend research outcomes at seminars and conferences. | |
| 11) | Prepare master thesis and articles about thesis subject clearly on the basis of published documents, thesis, etc. | |
| 12) | Demonstrate professional and ethical responsibility. | |
| 13) | Develop awareness for new professional applications and ability to interpret them. |