INFORMATION TECHNOLOGIES (ENGLISH, NON-THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
ENM5203 | Statistical Data Analysis and Decision Making | Fall Spring |
3 | 0 | 3 | 12 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Departmental Elective |
Course Level: | |
Mode of Delivery: | Face to face |
Course Coordinator : | Assist. Prof. ETHEM ÇANAKOĞLU |
Course Lecturer(s): |
Prof. Dr. SELİM ZAİM Assist. Prof. 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. |
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 |
Methods covered include: collecting data, summarizing and exploring data, hypothesis testing, confidence intervals, regression analysis, ANOVA. |
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 |
Course Notes / Textbooks: | N/A |
References: | Statistics for Business: Decision Making and Analysis, Robert A. Stine, Dean Foster, Pearson, 2011, 0321123913 |
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 |
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 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Uses basic Software Engineering knowledge and competencies. | |
2) | Applies the software development ability that is necessary for software engineering applications. | |
3) | Uses data structures and applies information about algorithm development. | |
4) | Develops system programs on operating systems. | |
5) | Defines computer organization, design and architectures. | |
6) | Creates the structure of computer networks and network security. | |
7) | Uses business intelligence, data mining and data analysis tools, applies techniques about them. | |
8) | Develops database applications and WEB based programs. | |
9) | Defines, analyzes, designs and manages information technologies projects. | |
10) | Uses and develops technology-based environments and tools in education. | |
11) | Detects, identifies and solves information technology needs of the business environment. | |
12) | Uses the capabilities of information technologies within the rules of professional responsibility and ethics. |