| Academic Unit: |
Management Information Systems |
| Mode of Delivery: |
Face to face |
| Prerequisites: |
None |
| Language of Instruction: |
English |
| Level of Course Unit: |
Undergraduate |
| Course Coordinator: |
- - |
| Course Objectives: |
This course aim to introduce the student the basics of data visualization. It includes some brief descriptive statistics techniques and also basic programming. The course will provide some basic understanding of how visualization can be employed to understand large (big) data arising from academic and business problems |
| Course Contents: |
• Basic Data Analysis
• Basic Statistics
• R language and its visualization tools
• Ggplot2 library
• Python language and its visualization tools
• Matplotlib library |
| Learning Outcomes of the Course Unit (LO): |
- 1- To understand the basic concepts about descriptive statistics,
- 2- Able to describe the properties of given data by visualization tools
- 3- Ability to install and use main open source visualization softwares and libraries.
- 4- Ability to understand the nature of data
- 5- Ability to construct script programs aimed at “good” visualization of practical problems
|
| Planned Learning Activities and Teaching Methods: |
In class lectures, lab sessions, homework, quizzes, midterm and final exams |
| Week | Subjects | Related Preperation |
| 1 |
Introduction & Motivation |
Reading the suggested resource |
| 2 |
Basics Visualization Techniques |
Reading the suggested resource |
| 3 |
Descriptive Statistics |
Reading the suggested resource |
| 4 |
Introduction to R language with Descriptive Statistics |
Reading the suggested resource |
| 5 |
Built-in R tools for visualization |
Reading the suggested resource |
| 6 |
Libraries in R - ggplot |
Reading the suggested resource |
| 7 |
ggplot library 2 |
Reading the suggested resource |
| 8 |
Dealing with Big Data - Overview of Dimension Reduction Techniques - |
Reading the suggested resource |
| 9 |
Python basics |
Reading the suggested resource |
| 10 |
Matplotlib library |
Reading the suggested resource |
| 11 |
Matplotlib Library 2 |
Reading the suggested resource |
| 12 |
Other useful tools for visualization |
Reading the suggested resource |
| 13 |
Project Presentations |
Preparing the presentations |
| 14 |
Review for Final |
Review |
At Kadir Has University, a Semester is 14 weeks; The weeks 15 and 16 are reserved for final exams.
THE RELATIONSHIP BETWEEN COURSE LEARNING OUTCOMES (LO) AND PROGRAM QUALIFICATIONS (PQ)
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PQ1 |
PQ2 |
PQ3 |
PQ4 |
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PQ6 |
PQ7 |
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PQ9 |
PQ10 |
PQ11 |
PQ12 |
| LO1 |
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| LO3 |
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| LO4 |
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| LO5 |
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Contribution: 1 Low, 2 Average, 3 High
