Prof.Dr. Necmettin Kaya necmi@uludag.edu.tr 224-2941979 U.Ü. Müh. Mim. Fak., Makine Mühendisliği Bölümü Bursa
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Website:
http://homepage.uludag.edu.tr\~necmi\bpg.htm
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Objective of the Course:
The purpose of this course is to give the student engineering problem solving skills to write programs in Python language and to develop algorithms.
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Contribution of the Course to Professional Development
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Learning Outcomes:
1
Be able to write computer programs to solve mathematics, physics and engineering problems;
2
Be able to use theoretical knowledge on professional activities and develop own skills in this context, ;
3
Identifying problems in mechanical engineering, algorithm development, gaining the ability to formulate and solve with computer facilities.;
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Course Content:
Week
Theoretical
Practical
1
Introduction to computers, hardware, software, operating systems, algorithms.
2
Steps of solving problems with computer programming, algorithms and flow charts, loops.
3
Examples of algorithms and flow charts.
4
Introduction to Python language, structure of a Python program, naming of variables, data types, operators, data input
5
Modules and built-in functions
6
Condition commands
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Loops: While
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Loops: For
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Examples and Solutions
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Lists, Matrix
11
Functions
12
Files
13
Graphics
14
Examples and Solutions
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Textbooks, References and/or Other Materials:
1. Algoritma Geliştirme ve Programlamaya Giriş, Dr. Fahri Vatansever, Seçkin Yayınları 2. Herkes için Python, Bülent Çobanoğlu, Pusula Yayıncılık 3. A Primer on Scientific Programming with Python, Hans Petter Langtangen, Springer Yayınevi 4. Lecture Notes (web page)
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Assesment
TERM LEARNING ACTIVITIES
NUMBER
PERCENT
Midterm Exam
1
30
Quiz
0
0
Homeworks, Performances
7
10
Final Exam
1
60
Total
9
100
Contribution of Term (Year) Learning Activities to Success Grade
40
Contribution of Final Exam to Success Grade
60
Total
100
Measurement and Evaluation Techniques Used in the Course
Information
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ECTS / WORK LOAD TABLE
Activites
NUMBER
TIME [Hour]
Total WorkLoad [Hour]
Theoretical
14
2
28
Practicals/Labs
14
1
14
Self Study and Preparation
14
1
14
Homeworks, Performances
7
4
28
Projects
0
0
0
Field Studies
0
0
0
Midtermexams
1
10
10
Others
0
0
0
Final Exams
1
15
15
Total WorkLoad
129
Total workload/ 30 hr
3,97
ECTS Credit of the Course
4
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CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
