Week |
Subject |
Related Preparation |
1) |
Introduction to Data Science: The current place of statistics |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
2) |
Introduction to Statistics: Basic concepts, Data Collection and Sampling Methods |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
3) |
Descriptive statistics: Frequency Distribution, Central Tendency and Measures of Variability |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
4) |
Statistical Estimation and Hypothesis Testing |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
5) |
Simple and Partial Correlation, Parametric Hypothesis Tests: T-Test and Z-Test |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
6) |
Non-Parametric Hypothesis Tests: Chi-Square, Mann Whitney U |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
7) |
SPSS and Python Applications |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
8) |
Midterm |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
9) |
Analysis of Variance (ANOVA) and Kruskal-Wallis Tests |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
10) |
Simple/Multiple Linear Regression and Correlation Analysis |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
11) |
Project 1: SPSS and Python Applications |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
12) |
Factor Analysis |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
13) |
Cluster Analysis |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
14) |
Project 2: Introduction to Machine Learning: MATLAB and Python Applications |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
15) |
Project Presentations |
An Introduction to Statistical Methods and Data Analysis, R.Lyman Ott, Micheal T. Longneckar |
|
Program Outcomes |
Level of Contribution |
1) |
To have the ability to apply knowledge in the fields of mathematics, science and programming to the development of software systems and the solution of problems related to computer programming. |
3 |
2) |
To have the ability to analyze and model problems specific to the field of software systems development and computer programming, and to identify and define appropriate software requirements for their solutions. |
5 |
3) |
Having the ability to design, develop and evaluate a software system, system part, process or program that will meet specified requirements. |
2 |
4) |
Have the ability to develop software systems and use modern technical and programming tools for computer programming applications. |
3 |
5) |
To have the discipline of software systems development and computer programming and the ability to demonstrate the necessary business skills to work effectively in interdisciplinary teams or individually. |
3 |
6) |
To have the ability to develop software systems and apply approaches in the development of computer programs by applying analysis, design, implementation, verification, validation and maintenance processes. |
2 |
7) |
To have awareness and awareness of professional, legal, ethical and social problems in the field of software and computer programming. |
2 |