HU Credits:
4
Degree/Cycle:
1st degree (Bachelor)
Responsible Department:
Statistics
Semester:
1st Semester
Teaching Languages:
Hebrew
Campus:
Mt. ScopusMt. Scopus
Course/Module Coordinator:
Mr. Inon Kaplan
Coordinator Office Hours:
Sunday 13:00
Teaching Staff:
Mr. Inon Kaplan, Mr. Matan Bendak
Course/Module description:
The course will cover the fundamental of programming using the Python Language. Emphasis will be placed on solving coding challenges using clear and efficient code.
Course/Module aims:
To provide the student with basic programming tools that will enable coping with probabilistic and statistical challenges that require computational power.
Learning outcomes - On successful completion of this module, students should be able to:
Implement basic programming principles, solve basic programming tasks using, cope with computational tasks, understand and debug code
Attendance requirements(%):
0
Teaching arrangement and method of instruction:
Course/Module Content:
- Objects
- Conditional statements and loops
- Functions
- Optimization
- Simulations
- Solving problems
Required Reading:
None
Additional Reading Material:
Guttag, John. Introduction to Computation and Programming Using Python: With Application to Understanding Data
Course/Module evaluation:
End of year written/oral examination 45 %
Presentation 0 %
Participation in Tutorials 0 %
Project work 0 %
Assignments 45 %
Reports 0 %
Research project 0 %
Quizzes 10 %
Other 0 %
Additional information:
7 programming exercises will account for 45% of the grade. There will be weekly quizzes which will comprise 10% of the final grade. The final exam will account for the other 45%.
To pass the course, a passing grade is needed in the final exam.
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