COURSE UNIT TITLE

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSOCIATE PROFESSOR ENGIN YILDIZTEPE

Offered to

Data Science
Data Science (Non-Thesis-Evening)

Course Objective

The objective of this course is to teach exploratory data analysis and graphical techniques using the latest tools.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbook(s): :
1. Wickham, H., & Grolemund, G. (2016). R for data science: import, tidy, transform, visualize, and model data. O'Reilly Media, Inc.
2. Maindonald, J., & Braun, W. (2010). Data Analysis and Graphics Using R: An Example-Based Approach. Cambridge: Cambridge University Press.
Supplementary Book(s):
1. Springer Kabacoff, I. R. (2011). R in Action. Data Analysis and Graphics with R.
Materials: Lecture Slides

Planned Learning Activities and Teaching Methods

The course consists of lecture and projects.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of homework/presentation/report and lab exam

Language of Instruction

Turkish

Course Policies and Rules

Attendance to at least 70% for the lectures is an essential requirement of this course and is the responsibility of the student. It is necessary that attendance to the lecture and homework delivery must be on time. Any unethical behavior that occurs either in presentations or in exams will be dealt with as outlined in school policy. You can find the graduate policy at http://www.fbe.deu.edu.tr/

Contact Details for the Lecturer(s)

DEU Faculty of Science Department of Statistics
e-mail: engin.yildiztepe@deu.edu.tr
phone: +90 232 301 86 04

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes