UNI327 Data Analysis with RIstinye UniversityDegree Programs Medical Imaging Techniques (Evening Education)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
Medical Imaging Techniques (Evening Education)

Preview

Associate TR-NQF-HE: Level 5 QF-EHEA: Short Cycle EQF-LLL: Level 5

Course Introduction and Application Information

Course Code: UNI327
Course Name: Data Analysis with R
Semester: Spring
Course Credits:
ECTS
5
Language of instruction: Turkish
Course Condition:
Does the Course Require Work Experience?: No
Type of course: University Elective
Course Level:
Associate TR-NQF-HE:5. Master`s Degree QF-EHEA:Short Cycle EQF-LLL:5. Master`s Degree
Mode of Delivery: E-Learning
Course Coordinator: Öğr. Gör. AYŞEGÜL ÇALIŞKAN İŞCAN
Course Lecturer(s): Dr. Ayşegül Çalışkan İşcan
Course Assistants:

Course Objective and Content

Course Objectives: This course aims to teach the R programming language at a basic level.
Course Content: This course includes basic elements of R programming languages.

Learning Outcomes

The students who have succeeded in this course;
1) Have knowledge about R programming language
2) Learns R programming language at a basic level.
3) Can analyze any data by using R language.
4) Can understand and manipulate any R code.
5) Can make statistical analysis by using R language.

Course Flow Plan

Week Subject Related Preparation
1) Course overview
2) R Arithmetic, Atomic Data Types
3) Variables, Vectors
4) Matrices
5) Lists, Data Frames
6) Factors, Reading and Writing Data
7) Exercises, Lesson Repetition
8) Mid-term Week
9) Control flow, functions
10) Exploring and Preparing Data
11) Working with text data
12) Preparing Numeric Data, Dealing with Dates
13) Merging data, Frequency tables
14) Plotting in Base R, plotting with ggplot2

Sources

Course Notes / Textbooks: 1. Mark Gardener - Beginning R_ The Statistical Programming Language-Wrox
2. Tony Fischetti - Data Analysis with R_ Load, wrangle, and analyze your data using the world's most powerful statistical programming language-Packt Publishing (2015)
References: 1. Mark Gardener - Beginning R_ The Statistical Programming Language-Wrox
2. Tony Fischetti - Data Analysis with R_ Load, wrangle, and analyze your data using the world's most powerful statistical programming language-Packt Publishing (2015)

Course - Program Learning Outcome Relationship

Course Learning Outcomes

1

2

3

4

5

Program Outcomes
1) Has a basic level of theoretical and practical knowledge about the field of Medical Imaging Techniques.
2) Applies radiation safety and radiation protection rules. Takes the necessary precautions to protect himself and the patient from the harmful effects of radiation.
3) Knows the infrastructure of medical imaging devices, daily maintenance and controls of the devices.
4) Has knowledge about occupational health and safety.
5) In order to solve unforeseen complex problems encountered in the applications related to the field, it takes part in the team and acts in accordance with the quality management and processes and takes individual responsibility when necessary.
6) Communicates effectively with colleagues, patients, relatives, physicians and other health professionals.
7) Knows radiological anatomy at basic level. Recognize the anatomical structures displayed.
8) Know medical and radiological terms, uses effectively.
9) Has the ability to communicate and work effectively with different medical sciences.
10) Adopts the principle of lifelong learning and follows and learns the technological developments in the field.
11) Follows the information in his / her field and communicates with his / her colleagues by using a foreign language at least at a level of European Language Portfolio A2 General Level.
12) Uses information and communication technologies with computer software at least at the basic level of European Computer Driving License required by the field.
13) Has knowledge about ethical principles and rules in the field.

Course - Learning Outcome Relationship

No Effect 1 Lowest 2 Average 3 Highest
       
Program Outcomes Level of Contribution
1) Has a basic level of theoretical and practical knowledge about the field of Medical Imaging Techniques.
2) Applies radiation safety and radiation protection rules. Takes the necessary precautions to protect himself and the patient from the harmful effects of radiation.
3) Knows the infrastructure of medical imaging devices, daily maintenance and controls of the devices.
4) Has knowledge about occupational health and safety.
5) In order to solve unforeseen complex problems encountered in the applications related to the field, it takes part in the team and acts in accordance with the quality management and processes and takes individual responsibility when necessary.
6) Communicates effectively with colleagues, patients, relatives, physicians and other health professionals.
7) Knows radiological anatomy at basic level. Recognize the anatomical structures displayed.
8) Know medical and radiological terms, uses effectively.
9) Has the ability to communicate and work effectively with different medical sciences.
10) Adopts the principle of lifelong learning and follows and learns the technological developments in the field.
11) Follows the information in his / her field and communicates with his / her colleagues by using a foreign language at least at a level of European Language Portfolio A2 General Level.
12) Uses information and communication technologies with computer software at least at the basic level of European Computer Driving License required by the field.
13) Has knowledge about ethical principles and rules in the field.

Assessment & Grading

Semester Requirements Number of Activities Level of Contribution
Application 13 % 20
Midterms 1 % 30
Final 1 % 50
total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
total % 100

Workload and ECTS Credit Calculation

Activities Number of Activities Workload
Course Hours 15 45
Study Hours Out of Class 16 16
Project 1 8
Midterms 1 1
Total Workload 70