MAT4069 Statistics with ComputersBahçeşehir UniversityDegree Programs MATHEMATICSGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
MATHEMATICS
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MAT4069 Statistics with Computers Spring 3 0 3 6
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: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator :
Recommended Optional Program Components: None
Course Objectives: This course aims to provide students with an overview of descriptive and inferential statistics; to expose students the statistical techniques; let students to learn how to use the SPSS (Statistical Package for the Social Sciences).

Learning Outcomes

The students who have succeeded in this course;
The students who succeeded in this course;
1. will be able to explain the role of statistics.
2. will be able to decide on the statistical technique appropriate for a given research problem.
3. will be able to organize the statistical data.
4. will be able to use SPSS for his/her goal.
5. will be able to analyze the data collected for a research study in accordance with the research problems.
6. will be able to intrerpret the results of statistical analysis.
7. will be able to evaluate the statistical analysis in the research studies.

Course Content

This course covers basic statistics subjects with SPSS applications for research studies like, organizing the data, measures of central tendency and variability, hypothesis testing, correlation, simple regression, analysis of variance and chi-square distribution with SPSS applications.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction, Course Overview - Subject List - Giving Information about the Academic Calendar and Lecturing, Meeting
2) Introduction to Statistics: Data, Parameter, Variable, Descriptive Statistics
3) Introduction to SPSS: SPSS menus, SPSS Data Entry
4) Introduction to SPSS: SPSS menus, SPSS Data Entry
5) Description of Data: Frequency Distribution, Measures of Central Tendency and Variability
6) Introduction to Numerical Methods for Data Analysis (parametric tests)
7) Dependent Two-sample t-test, independent two-sample t-test and SPSS Applications
8) Single Factor Analysis of Variance (ANOVA) and SPSS Applications
9) Single Factor Analysis of covariance (ANCOVA) and SPSS Applications
10) Multivariate Analysis of Variance (MANOVA) and SPSS Applications
11) Non-Parametric Statistics
12) Non-Parametric Statistics
13) Calculation of validity and reliability of tests
14) Calculation of validity and reliability of tests

Sources

Course Notes / Textbooks: Moore, D. S. (2009). Basic Practice of Statistics. New York: W.H. Freeman.
SPSS software for your own computer.
References:

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 14 % 10
Homework Assignments 2 % 20
Presentation 1 % 20
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 3 42
Presentations / Seminar 1 25 25
Homework Assignments 2 15 30
Final 1 28 28
Total Workload 125

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) To have a grasp of basic mathematics, applied mathematics and theories and applications in Mathematics 5
2) To be able to understand and assess mathematical proofs and construct appropriate proofs of their own and also define and analyze problems and to find solutions based on scientific methods, 5
3) To be able to apply mathematics in real life with interdisciplinary approach and to discover their potentials, 4
4) To be able to acquire necessary information and to make modeling in any field that mathematics is used and to improve herself/himself, 4
5) To be able to tell theoretical and technical information easily to both experts in detail and non-experts in basic and comprehensible way, 4
6) To be familiar with computer programs used in the fields of mathematics and to be able to use at least one of them effectively at the European Computer Driving Licence Advanced Level, 4
7) To be able to behave in accordance with social, scientific and ethical values in each step of the projects involved and to be able to introduce and apply projects in terms of civic engagement,
8) To be able to evaluate all processes effectively and to have enough awareness about quality management by being conscious and having intellectual background in the universal sense, 3
9) By having a way of abstract thinking, to be able to connect concrete events and to transfer solutions, to be able to design experiments, collect data, and analyze results by scientific methods and to interfere, 3
10) To be able to continue lifelong learning by renewing the knowledge, the abilities and the competencies which have been developed during the program, and being conscious about lifelong learning, 3
11) To be able to adapt and transfer the knowledge gained in the areas of mathematics ; such as algebra, analysis, number theory, mathematical logic, geometry and topology to the level of secondary school, 3
12) To be able to conduct a research either as an individual or as a team member, and to be effective in each related step of the project, to take role in the decision process, to plan and manage the project by using time effectively. 4