DATA SCIENCE APPLICATIONS
- Course
- ITEC557 - DATA SCIENCE APPLICATIONS
- Department
- Information Technologies - English - Master
- Course Type
- Course
- Status
- Required
- Language
- English
- Credit
- 3
- ECTS
- 8
- T+P+L
- 3 + 0 + 0
- Course Coordinator(s)
- Asst. Prof. Dr. Yasemin BAY
- Prerequisite
- -
Course Description
The course will cover the fundamentals of data science as a combination of machine learning, business knowledge, tools, algorithms, and mathematics. A variety of data science perspectives, including the conceptual formulation and properties, the applications of solution methods, data visualization for exploratory data analysis, and the appropriate presentation of modeling results are investigated. Students who successfully complete the course will be able to use tools for gathering, cleaning, analyzing, examining, and visualizing data, drawing conclusions and making decisions based on the data, and effectively presenting outcomes. Additionally, students will be able to explain ambiguity, causation, and data quality, as well as understand the necessity of curation, organization, and data management, and foresee the results of data misuse and misbehavior.
DATA SCIENCE APPLICATIONS
Evaluation Tools (Active Term)
| Item | Type | Weight (%) |
|---|---|---|
| Midterm | Midterm | 30 |
| Final | Final | 40 |
| Project | Project | 20 |
| Assignment | Assignment | 10 |
| Total | 100 | |
Course outcomes
No course outcomes have been defined yet.
Course Syllabus
No weekly content has been defined yet.
Reference Books & Course Materials
No reference books have been listed.
Learning Outcomes
No learning outcomes have been defined.
Program Outcomes
No program outcomes have been defined.
Po-Lo Matrix
The PO-LO matrix has not been populated yet.