Syllabus - Introduction to computer science for electrical engineering and applied physics (76639)

Syllabus Introduction to computer science for electrical engineering and applied physics - 76639
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Last update 10-04-2024
HU Credits: 5 Degree/Cycle: 1st degree (Bachelor) Responsible Department: Programming Instruction Unit Semester: 1st and/or 2nd Semester Teaching Languages: Hebrew Campus: E. Safra Course/Module Coordinator: Dr. Roie Knaanie Adi Ben Shalom Dr. Arie Schlesinger Coordinator Email: roie.knaanie@mail.huji.ac.il Coordinator Office Hours: See moodle Teaching Staff: Ms. Ben- Shalom Adi, Dr. Arie Schlesinger, Dr. Roie Knaanie Course/Module description: Familiarity with Computer Science: Programming Python language and recognition of selected topics in computer science. Course/Module aims: Acquisition of programming knowledge to solve scientific programming problems. Design and realization of selected algorithms from computer science in the Python language. Learning outcomes - On successful completion of this module, students should be able to: Write computer programs in Python to solve scientific programming problems. Design and realization of selected algorithms from computer science in the Python language. Attendance requirements(%): 0 Teaching arrangement and method of instruction: Frontal lectures, recitations and labs Course/Module Content: 1. functions, expressions, variables, types ,casting 2. Conditionals, Strings, parameter passing and return values 3. Loops (for, while), lists, slicing, debugging basics, nested lists/loops 4. Aliasing, scope, mutability, tuples, collections (set, dictionary), comprehension 5. Numeric algorithms, Runtime analysis (exponents, finding roots via binary search, sorting and more) 6. Recursion, run-time analysis of recursive functions O(nlogn sorting) 7. Object oriented programming 8. LinkedLists, trees. 9. Exceptions, iterators, lambda functions , map and filter 10. Backtracking 11. Python packages: numpy, pandas, matplotlib Required Reading: No Additional Reading Material: Grading Scheme : Written / Oral / Practical Exam 70 % Submission assignments during the semester: Exercises / Essays / Audits / Reports / Forum / Simulation / others 25 % Mid-terms exams 5 % Additional information: There is an obligation to submit the programming exercises.

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