Prerequisite Courses:
Course Language:
İngilizce
Course Objectives:
The objective of the course is to teach students intermediate and advanced level in a computational setting; gain the ability to compile, process and abstract, report and interpret the data using computational methods involving spreadsheets and programming.
Course Content:
Design of experiments, model building. Random number generation, testing and Monte Carlo methods. Random walk. Computational Techniques in multiple and nonlinear regression, random walk. autocorrelation, heteroscedasticity and time series data.
Course Methodology:
1: Lecture, 2: Question-Answer, 3: Discussion, 4: Simulation, 5: Case Study
Course Evaluation Methods:
A: Testing B: Presentation, C: Homework, D: Project, E: Laboratory
Vertical Tabs
Course Learning Outcomes
| Learning Outcomes | Program Learning Outcomes | Teaching Methods | Assessment Methods |
| Describe software concepts in statistics | 11 | 1, 2, 3 | A,C |
| List data gathering methods | 7 | 1, 2, 3 | A,C |
| Analyze and fit data to different models and interpret results. | 7 | 1, 2, 3 | A,C,E |
| Understand C programming use in data analysis | 3, 4, 7 | 1, 2, 4, 5 | A,C,E |
| Understand basic conceps of time series analysis. | 8 | 1, 2, 3 | A,C |
| Understand spreadsheet macros and statistical commands. | 3 | 1, 2, 3 | A,E |
| Understand experiment design, hypothesis testing and interpretation. | 8 | 1, 2, 3 | A,C,E |
| Understand error analysis and Monte Carlo methods. | 11 | 1, 2, 3 | A,C |
Course Flow
| COURSE CONTENT | ||
| Week | Topics | Study Materials |
| 1 | Review of Statistical concepts | The basic concepts of statistics |
| 2 | Data Types and Data Gathering | Data Gathering |
| 3 | Spreadsheet macros and commands, Data Processing | Excel Add ons |
| 4 | Survey of Probability Concepts Binomial, Poisson and normal distributions | Probability and Probability Distributions |
| 5 | Sampling and Bayes Theorem | Probability Theory |
| 6 | Random number generation and law of large numbers | Excel Macros and coding in C |
| 7 | Random processes and Monte Carlo methods | Excel macros and C |
| 8 | Mid-term Exam | |
| 9 | Computational Techniques for covariance, correlation and analysis of variance | C and Statistics Review |
| 10 | Linear single and multivariate Regression | Excel and C review |
| 11 | Non linear models and regression | Probability Distributions |
| 12 | Time series Analysis | Random Variables |
| 13 | Random walk. AR-MA and ARIMA techniques | Basic Statistics |
| 14 | Computational techniques for nonparametric tests on randomness and random number suites | C programming |
| 15 | Final Exam | |
Recommended Sources
| RECOMMENDED SOURCES | |
| Textbook |
Douglas A. Lind, William G. Marchal, Samuel A. WathenBasic Statistics for Business & Economics 8th Edition, Mc Graw Hill, ISBN 978-007-131807-5, Salvatore D., Reagle D. Statistics and econometrics 2ed., Schaum's Outline, McGrawHill, 2002
R. R. Rubinstein Reuven C. Rubinstein Simulation and the Monte Carlo Method 2nd Edition, John Wiley, Hoboken NJ (2008) |
| Additional Resources | Lecture notes, spreadsheet, programming tools. |
Material Sharing
| MATERIAL SHARING | |
| Documents | Guidelines and additional examples for Lecture Topics |
| Assignments | Homework Assignments |
| Exams | Midterm Exam and Final Exam |
Assessment
| ASSESSMENT | ||
| IN-TERM STUDIES | NUMBER | PERCENTAGE |
| Mid-terms | 2 | 2 X 40 |
| LAB and Quizzes | - | 20 |
| Attendance | - | 0 |
| Total | 100 | |
| Contribution of Final Examination to Overall Grade | 50 | |
| Contribution of In-Term Studies to Overall Grade | 50 | |
| Total | 100 | |
Course’s Contribution to Program
| COURSE'S CONTRIBUTION TO PROGRAM | ||||||||||||||
| No | Program Learning Outcomes | Contribution | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | ||||||||||
| 1 | Information Systems graduates have the knowledge and the skills to design and develop the complete systems for multi-media visual user interface. | |||||||||||||
| 2 | Information Systems graduates have advanced the knowledge and skills to design, develop and install the application systems for multi-media. | |||||||||||||
| 3 | Information Systems graduates have the knowledge and the skills to design, develop and apply algorithms and data structures to solve the basic problems of information processing, within the framework of discrete mathematics. | x | ||||||||||||
| 4 | Information Systems graduates have the knowledge and the skills to design and develop computer applications, based on user specified requirements, using modern structured development tools and install them on various hardware platforms and deploy their usage. | x | ||||||||||||
| 5 | Information Systems graduates have the knowledge and the skills to design and develop computer applications, based on user specified requirements, using modern object-oriented development tools and install them on various hardware platforms and deploy their usage. | |||||||||||||
| 6 | Information Systems graduates know the logic of computer operating systems, the basic set of system commands, how to control access to system resources by users of different departments and how to monitor the running of jobs in the system. | |||||||||||||
| 7 | Information Systems graduates have the knowledge and the skills to design and develop data models serving different requirements, database applications that would access and process data using various types of software, including queries, reports and business applications. | x | ||||||||||||
| 8 | Information Systems graduates have the knowledge and the skills to design and develop business applications that would provide data access, modification and processing for data kept in enterprise database systems. | x | ||||||||||||
| 9 | Information Systems graduates have the knowledge about computer networks, and have the skills to design, develop and monitor computer networks, how to configure them and how to maintain their performance. | |||||||||||||
| 10 | Information Systems graduates have the knowledge and the skills to design and develop visual user interfaces for the web, web-based applications for n-tier client/server configurations, how to deploy them in enterprises. | |||||||||||||
| 11 |
Information Systems graduates, within his/her job responsibilities can communicate the necessary information both written and orally in Turkish, English and another foreign language, respecting the values the societal institutions and establishments, of which he/she has acquired in the program.
|
X | ||||||||||||
ECTS
| ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION | |||
| Activities | Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Course Duration (Including the exam week: 15x Total course hours) | 15 | 3 | 45 |
| Hours for off-the-classroom study (Pre-study, practice) | 15 | 3 | 45 |
| Mid-terms | 2 | 6 | 12 |
| Homework | 14 | 1 | 14 |
| Final examination | 1 | 10 | 10 |
| Total Work Load | 126 | ||
| Total Work Load / 25 (h) | 5,04 | ||
| ECTS Credit of the Course | 5 | ||
None