Course Code: | MIS309 | ||||
Course Name: | Data Science 3 | ||||
Semester: |
Fall |
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Course Credits: |
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Language of instruction: | English | ||||
Course Condition: | |||||
Does the Course Require Work Experience?: | No | ||||
Type of course: | Departmental Elective | ||||
Course Level: |
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Mode of Delivery: | Face to face | ||||
Course Coordinator: | Doç. Dr. ŞEBNEM ÖZDEMİR | ||||
Course Lecturer(s): | Şebnem Özdemir | ||||
Course Assistants: |
Course Objectives: | The aim of this course is to teach the execution of a data analysis language together with its mathematical background. |
Course Content: | Basic Python functions, classical algorithms in machine learning, mathematical infrastructures |
The students who have succeeded in this course;
1) Uses Python's core functions 2) Recognizes libraries 3) Comprehends the mathematical structure of decision tree algorithms. 4) Creates a decision tree with the help of R package. 5) Creates a decision tree with the help of Python libraries. 6) Explains the decision tree outputs. |
Week | Subject | Related Preparation |
1) | Introduction to the Course – Basic Concepts – Overview of Content to be Learned and Assessment and Evaluation Activities for a Whole Semester | |
2) | Anaconda environment, Jupyter, DataBrick environments | |
3) | Python and its features | |
4) | Basic functions and structures in Python | |
5) | Working with libraries | |
6) | Decision tree algorithms and basic methods in machine learning | |
7) | Training and test set distinctions, achievement and performance concepts | |
8) | Decision trees mathematical background | |
9) | Decision trees mathematical background | |
10) | Creating a decision tree using the R package | |
11) | Evaluating the outputs of decision trees | |
12) | Creating a decision tree using a Python library | |
13) | Evaluating the outputs of decision trees, creating multiple models, model comparison | |
14) | Distruptive Concepts | |
15) | Final Exam |
Course Notes / Textbooks: | Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources. |
References: | Ek kaynak ihtiyacı bulunmamaktadır. - There is no need for additional resources. |
Course Learning Outcomes | 1 |
2 |
3 |
4 |
5 |
6 |
---|---|---|---|---|---|---|
Program Outcomes |
No Effect | 1 Lowest | 2 Average | 3 Highest |
Program Outcomes | Level of Contribution |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 1 | % 20 |
Midterms | 1 | % 35 |
Final | 1 | % 45 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 55 | |
PERCENTAGE OF FINAL WORK | % 45 | |
total | % 100 |
Activities | Number of Activities | Workload |
Course Hours | 14 | 28 |
Application | 14 | 42 |
Quizzes | 5 | 10 |
Midterms | 8 | 18 |
Final | 15 | 28 |
Total Workload | 126 |